In the course of this study, an eco-friendly alternative fuel was manufactured by transesterifying waste oils with the help of alcohol and a catalyst. As required by the American society for testing and materials (ASTM) requirements, we conducted an analysis on the acquired waste cooking oil
biofuel (WOB) to determine its most important properties. We were successful in producing three separate fuel mixes, which we will refer to as BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel),
and BF0WOB100 (100% biofuel) respectively. This research used a diesel engine with direct injection; the engine had a single cylinder, and the
computer that operated it was located in the cabin. The results showed that the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss
in thermal efficiency while it was at a temperature of 26.5° b top dead center (TDC) conditions with low injection time led to decreased levels of both nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The addition of 20% WOB to the fundamental fuel improved the engine
combustion characteristics at 26.5° b TDC. This improvement occurred at the same time.
Experimental investigation of using kerosene-biodiesel blend as an alternativ...Mustansiriyah University
1) Researchers tested blends of biodiesel produced from sunflower oil and kerosene as alternative fuels in a diesel engine. They tested blends with biodiesel content from 15-60% by volume and kerosene content from 85-40%.
2) Test results showed that biodiesel-kerosene blends produced higher brake thermal efficiency and lower brake specific fuel consumption compared to diesel. Emissions of carbon monoxide and hydrocarbons decreased with increasing kerosene content in the blends.
3) Nitrogen oxide emissions were highest for pure biodiesel but decreased with higher kerosene content in the blends, with the 15% biodiesel blend reducing NOx
This document summarizes an experimental investigation on the performance of a diesel engine using methyl esters of linseed oil (LSOME) and neem oil (NOME) as biofuels. Tests were conducted on a single cylinder, water cooled diesel engine at a constant speed of 1500 rpm using blends of LSOME and NOME with diesel (B10 and B20). Results show that the brake specific fuel consumption and indicated specific fuel consumption decreased for the biofuel blends compared to diesel. The brake thermal efficiency increased for the biofuel blends, with B20 showing equal efficiency to diesel. It was concluded that the biofuel blends derived from linseed and neem oils can be used as sustainable alternatives to
This document summarizes a study that analyzed the effect of compression ratio on the performance and emissions of a diesel engine fueled with dual blends of jatropha and karanja biodiesel. A single cylinder variable compression ratio diesel engine was tested at compression ratios of 16 and 18 using blends containing 20-60% jatropha and karanja biodiesel. The higher density of the biodiesel fuels caused longer ignition delay compared to diesel. Blending the two biodiesel fuels resulted in lower mean gas temperatures and NOx emissions. Performance parameters like brake power, fuel consumption and engine efficiencies as well as emissions of smoke, CO and HC were measured.
This document discusses optimizing the brake thermal efficiency of a compression ignition engine using diesel-sesame oil blends through parametric optimization via the Taguchi method. Three parameters were selected for the experiment: injection pressure, blend proportion, and loading condition. An L16 orthogonal array was used to conduct the minimum number of experiments to determine the best levels of the control factors. The results of the Taguchi method identified that maximum brake thermal efficiency was obtained at an injection pressure of 160 bar using a 10% diesel-sesame oil blend at a 10kg load.
Studies on exhaust emissions of ceramic coated di diesel engine fuelled with ...IAEME Publication
The document summarizes a study on the exhaust emissions of a diesel engine with a ceramic coated cylinder head fueled with cotton seed biodiesel. The study investigated exhaust emissions under different operating conditions, including normal and pre-heated biodiesel temperatures, varied injector opening pressures and injection timings. Particulate and NOx emissions were evaluated at different brake mean effective pressures and compared to a conventional engine fueled with biodiesel and mineral diesel under similar operating conditions. The results showed that particulate emissions decreased while NOx levels increased for the engine with the low-heat rejection combustion chamber compared to the conventional engine when fueled with biodiesel.
THE PERFORMANCE OF BIODIESEL MIXTURES IN A VCR ENGINEIAEME Publication
In recent years alternate fuels have received much attention because the world is confronted with the twin crisis of fossil fuel depletion and environmental degradation. The biodiesel produced from Jatropha oil by transesterification process represents one of the most promising options to reduce the use of conventional fossil fuels. The present work studies the performance and emission characteristics of a single cylinder water cooled variable compression ratio engine using jatropha biodiesel and its mixtures as fuel in a direct injection diesel engine. An additive DEE (Di-ethyl ether) is used to enhance the combustion properties of biodiesel. A total of 3 samples of fuels are used such as diesel, BD25 (Jatropha biodiesel 25%), BDM (Biodiesel mixture). The performance and emission characteristics are measured at compression ratios of 16, 17 and18 by varying the load and maintaining the speed constant at 1500 rpm. From the study results it has been found that better results are obtained at a compression ratio of 18. At this best compression ratio the performance and emission characteristics of biodiesel mixture is compared with BD 25 and Diesel Fuel (DF). It is observed that the use of additive have improved the performance and emission characteristics of biodiesel mixture and can be used as a substitute for diesel.
This document summarizes a study on the performance and emissions of a single cylinder diesel engine fueled with biodiesel mixtures at different compression ratios. Three fuels were tested: diesel, a 25% blend of jatropha biodiesel (BD25), and a biodiesel mixture (BDM) containing diethyl ether and different percentages of jatropha and rubber seed biodiesels. The engine was run at compression ratios of 16, 17, and 18 while varying the load. The best compression ratio for the biodiesel mixture fuel was found to be 18, and the performance and emissions of BDM were then compared to BD25 and diesel at that compression ratio. Outcomes such as brake specific fuel consumption, brake
The document presents research on the production and testing of biodiesel from karanja oil. Key points:
- Karanja biodiesel was produced via base-catalyzed transesterification of karanja oil and tested in a diesel engine.
- Test fuels of B20, B50 and B100 blends showed improved emission profiles but lower efficiency compared to diesel.
- Smoke and NOx emissions increased with higher biodiesel content while CO and HC decreased at medium loads.
- Further studies on engine modifications, emissions reduction and biodiesel properties were recommended.
Experimental investigation of using kerosene-biodiesel blend as an alternativ...Mustansiriyah University
1) Researchers tested blends of biodiesel produced from sunflower oil and kerosene as alternative fuels in a diesel engine. They tested blends with biodiesel content from 15-60% by volume and kerosene content from 85-40%.
2) Test results showed that biodiesel-kerosene blends produced higher brake thermal efficiency and lower brake specific fuel consumption compared to diesel. Emissions of carbon monoxide and hydrocarbons decreased with increasing kerosene content in the blends.
3) Nitrogen oxide emissions were highest for pure biodiesel but decreased with higher kerosene content in the blends, with the 15% biodiesel blend reducing NOx
This document summarizes an experimental investigation on the performance of a diesel engine using methyl esters of linseed oil (LSOME) and neem oil (NOME) as biofuels. Tests were conducted on a single cylinder, water cooled diesel engine at a constant speed of 1500 rpm using blends of LSOME and NOME with diesel (B10 and B20). Results show that the brake specific fuel consumption and indicated specific fuel consumption decreased for the biofuel blends compared to diesel. The brake thermal efficiency increased for the biofuel blends, with B20 showing equal efficiency to diesel. It was concluded that the biofuel blends derived from linseed and neem oils can be used as sustainable alternatives to
This document summarizes a study that analyzed the effect of compression ratio on the performance and emissions of a diesel engine fueled with dual blends of jatropha and karanja biodiesel. A single cylinder variable compression ratio diesel engine was tested at compression ratios of 16 and 18 using blends containing 20-60% jatropha and karanja biodiesel. The higher density of the biodiesel fuels caused longer ignition delay compared to diesel. Blending the two biodiesel fuels resulted in lower mean gas temperatures and NOx emissions. Performance parameters like brake power, fuel consumption and engine efficiencies as well as emissions of smoke, CO and HC were measured.
This document discusses optimizing the brake thermal efficiency of a compression ignition engine using diesel-sesame oil blends through parametric optimization via the Taguchi method. Three parameters were selected for the experiment: injection pressure, blend proportion, and loading condition. An L16 orthogonal array was used to conduct the minimum number of experiments to determine the best levels of the control factors. The results of the Taguchi method identified that maximum brake thermal efficiency was obtained at an injection pressure of 160 bar using a 10% diesel-sesame oil blend at a 10kg load.
Studies on exhaust emissions of ceramic coated di diesel engine fuelled with ...IAEME Publication
The document summarizes a study on the exhaust emissions of a diesel engine with a ceramic coated cylinder head fueled with cotton seed biodiesel. The study investigated exhaust emissions under different operating conditions, including normal and pre-heated biodiesel temperatures, varied injector opening pressures and injection timings. Particulate and NOx emissions were evaluated at different brake mean effective pressures and compared to a conventional engine fueled with biodiesel and mineral diesel under similar operating conditions. The results showed that particulate emissions decreased while NOx levels increased for the engine with the low-heat rejection combustion chamber compared to the conventional engine when fueled with biodiesel.
THE PERFORMANCE OF BIODIESEL MIXTURES IN A VCR ENGINEIAEME Publication
In recent years alternate fuels have received much attention because the world is confronted with the twin crisis of fossil fuel depletion and environmental degradation. The biodiesel produced from Jatropha oil by transesterification process represents one of the most promising options to reduce the use of conventional fossil fuels. The present work studies the performance and emission characteristics of a single cylinder water cooled variable compression ratio engine using jatropha biodiesel and its mixtures as fuel in a direct injection diesel engine. An additive DEE (Di-ethyl ether) is used to enhance the combustion properties of biodiesel. A total of 3 samples of fuels are used such as diesel, BD25 (Jatropha biodiesel 25%), BDM (Biodiesel mixture). The performance and emission characteristics are measured at compression ratios of 16, 17 and18 by varying the load and maintaining the speed constant at 1500 rpm. From the study results it has been found that better results are obtained at a compression ratio of 18. At this best compression ratio the performance and emission characteristics of biodiesel mixture is compared with BD 25 and Diesel Fuel (DF). It is observed that the use of additive have improved the performance and emission characteristics of biodiesel mixture and can be used as a substitute for diesel.
This document summarizes a study on the performance and emissions of a single cylinder diesel engine fueled with biodiesel mixtures at different compression ratios. Three fuels were tested: diesel, a 25% blend of jatropha biodiesel (BD25), and a biodiesel mixture (BDM) containing diethyl ether and different percentages of jatropha and rubber seed biodiesels. The engine was run at compression ratios of 16, 17, and 18 while varying the load. The best compression ratio for the biodiesel mixture fuel was found to be 18, and the performance and emissions of BDM were then compared to BD25 and diesel at that compression ratio. Outcomes such as brake specific fuel consumption, brake
The document presents research on the production and testing of biodiesel from karanja oil. Key points:
- Karanja biodiesel was produced via base-catalyzed transesterification of karanja oil and tested in a diesel engine.
- Test fuels of B20, B50 and B100 blends showed improved emission profiles but lower efficiency compared to diesel.
- Smoke and NOx emissions increased with higher biodiesel content while CO and HC decreased at medium loads.
- Further studies on engine modifications, emissions reduction and biodiesel properties were recommended.
IRJET- Effect of Copper Oxide and Carbon Nanotubes as Additives in Diesel Ble...IRJET Journal
This document summarizes a study that tested the effects of adding copper oxide and carbon nanotubes as additives to a 20:80 blend of biodiesel and diesel in a variable compression ratio engine. The study found that some additive blends showed improvements in brake power output of up to 2% and brake thermal efficiency of up to 3.9% compared to pure diesel, along with reductions in harmful emissions like carbon monoxide, hydrocarbons, nitrogen oxides, and smoke. Specifically, a blend with 40ppm of carbon nanotubes and 20ppm of copper oxide performed the best, showing lower emissions and higher power and efficiency than other blends and pure diesel. The document concludes the additive blends,
A Study of Performance and Emissions of Diesel Engine fuelled with neat Diese...IOSR Journals
A comparison analysis between neat diesel (petro-diesel) and neat Hydnocarpus Pentandra (Marotti) biodiesel has been carried out on a direct injection diesel engine. The biodiesel has been produced from raw Hydnocarpus Pentandra oil by transesterification process by adding methanol and base catalyst. The optimum nozzle pressure of 250 bar and static injection timing of 20° bTDC are considered because these conditions only were found to give minimum emissions and better performance. The engine performance and emissions of diesel engine fuelled with neat diesel and neat Hydnocarpus Pentandra (Marotti) (or) Marotti Oil Methyl Ester (MOME) results are compared and presented. From the test results, it could be noted that, neat MOME gives lower emissions such as hydrocarbon and oxides of nitrogen as compared to neat diesel for all load under steady state condition of the engine.
Computer simulation of ci engine for diesel and biodisel blendsLaukik Raut
This document describes a computer simulation model developed to predict the performance of a diesel engine operating on biodiesel blends. The model uses a single zone thermodynamic approach to simulate the engine cycle from intake to exhaust. It calculates properties such as cylinder pressure, heat release, temperature and engine performance parameters like brake power and efficiency. The model was validated by comparing the simulation results with experimental data, and was found to satisfactorily predict combustion and performance characteristics. The simulation model can be used to study the effects of operating a diesel engine on biodiesel blends without extensive experimental testing.
The document describes a study that used the Taguchi method to optimize engine parameters to reduce particulate matter (PM) and smoke opacity emissions from a diesel engine fueled with jatropha biodiesel blends. Three control factors were tested - engine load, percentage of biodiesel in the blend, and fuel injection pressure. Experiments were designed using an L16 orthogonal array. Results found that engine load had the greatest influence on emissions, followed by percentage of biodiesel, with injection pressure having the least effect. The optimized parameters were found to be an engine load of 25%, a biodiesel percentage of 40%, and an injection pressure of 220 bar.
iaetsd Emission analysis of a single cylinder diesel engine usingIaetsd Iaetsd
This document discusses the results of an experimental study analyzing the emissions of a single cylinder diesel engine using blends of diesel and castor biodiesel. The study tested various blends and found that a blend of 85% diesel and 15% castor biodiesel (Sample 2) produced the lowest emissions of NOx, unburnt hydrocarbons, and exhaust gas temperatures compared to other blends and pure diesel. The conclusion is that the use of castor biodiesel blends can help reduce emissions and increase the use of waste lands for fuel production in rural areas.
Performance characteristics for the use of blended safflower oil in diesel en...IAEME Publication
This document summarizes a study on the performance of a diesel engine fueled with blends of safflower oil and diesel. Safflower oil-diesel blends with safflower oil content ranging from 20-100% by volume were tested in a single cylinder diesel engine. The results showed that the B20 blend had the lowest fuel consumption and brake specific fuel consumption compared to other blends and diesel. The B20 blend also achieved 4% higher brake thermal efficiency than diesel alone. Emissions of smoke were lowest with the B20 blend compared to other fuels tested. Overall, the B20 safflower oil-diesel blend provided better engine performance and lower emissions than other blends or diesel alone.
OPTIMIZATION OF STATIC INJECTION TIMING OF DIESEL ENGINE FUELLED WITH MAHUA B...Journal For Research
The engine performance and emission characteristics of mahua (madhuca indica) biodiesel and its blends with diesel is presented. The thermo-physical properties of all the fuel blends have been measured and presented. The engine tests are conducted on a 4 Stroke Tangentially Vertical (TV) single cylinder kirloskar 1500 rpm water cooled direct injection diesel engine with eddy current dynamometer at different injection timings of 20°, 21°, 22° and 23° bTDC with standard nozzle opening pressure of 220 bar maintained as constant throughout the experiment. From the test results, it is observed that the lower injection timing of 20° bTDC and modified nozzle opening pressure of 220 bars gives better performance and significant reduction in emissions.
IRJET- Effect of Butanol and Di-Ethyl Ether Additives on the Performance and ...IRJET Journal
This document discusses an experimental investigation of the performance and emissions of a diesel engine fueled with diesel-ethanol blends and additives of butanol and diethyl ether. The study tested various diesel-ethanol-additive blends at different compression ratios in a variable compression ratio engine. Performance parameters like brake thermal efficiency and emissions of CO2, CO, NOx and smoke were evaluated. The results showed that adding oxygenated additives like butanol and diethyl ether to diesel-ethanol blends can improve the engine performance and emissions characteristics.
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...Ekramul Haque Ehite
This document presents an experimental study on the performance and emissions of a diesel engine using vegetable oils. Sesame seed oil and rice bran oil were tested in various blends with kerosene as fuel for a diesel engine. The properties of the fuels were analyzed and compared to diesel. The engine was then tested using the various fuel blends. It was found that rice bran oil blends performed better than sesame oil blends in terms of power, fuel consumption and carbon monoxide emissions. Emissions generally increased with vegetable oil blends compared to diesel, but rice bran oil blends had lower emissions than sesame oil blends. This study shows the potential for using vegetable oils and their blends as alternative fuels in diesel
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL IAEME Publication
The main advantage favouring biofuels is that they are biodegradable and thus do not cause harm to the environment. Department of Energy study showed that the production and use of biodiesel, compared to petroleum diesel, resulted in a 78.5% reduction in carbon dioxide emissions The present study aims to investigate the importance of additives in biodiesel blends. Here DEE (Diethyl ether) used as the additives. The main aim of this study is to analyse the effect of compression ratio on the performance and emission of blends of biodiesel with and without using additives. The test has been conducted on three different fuels blends on a single cylinder VCR (Variable Compression Ratio Engine) DI diesel engine at a compression ratio of 16. The performance parameters include BTE, SFC, BP, Volumetric Efficiency and Mechanical efficiency. The exhaust gas emission is found to contain CO, HC, NOx and CO2.The three different fuel blends are 1) standard diesel 2) 20%Jatropha biodiesel, 3) diesel+20%Jatropha+5%DEE+ 3ml raw rubber seed oil. The result of the experimental works has been compared with standard diesel and it concludes considerable improvement in the performance parameters, as well as exhaust emissions.
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...Khatir NAIMA
The aim of this investigation is to evaluate the usability of waste polyethylene oil as an alternative fuel for diesel engines. The novel fuel is obtained by a pyrolysis process of waste polyethylene at 973 K. The obtained oil is tested in a single cylinder air cooled (TS1) direct injection diesel engine at 1500 rpm. Engine performances and exhaust pollutant emissions from Waste Polyethylene Oil (WPO) were analysed and compared to those obtained from the same engine fuelled with conventional diesel fuel. Results showed that the total fuel consumption of WPO is lower than that of neat diesel fuel due to the higher heating value of WPO. Brake Thermal Efficiency (BTE) is improved for WPO especially at low load. The exhaust gas temperature is lower for WPO than that of diesel at low and full load. CO and UHC are found lower, while NOx emissions are higher at high loads. Furthermore, the use of numerical investigation permits to optimize the injection parameters, which can help to take advantages of WPO fuel. The simulation results suggest advancing the injection timing.
Performance and emission characteristics of di ci diesel engine with preIAEME Publication
This document summarizes an experimental study that investigated the performance and emission characteristics of a direct injection compression ignition diesel engine fueled with preheated chicken fat biodiesel. The engine performance, combustion characteristics, and exhaust emissions were tested and compared for petroleum diesel, unheated chicken fat biodiesel, and chicken fat biodiesel preheated to 50°C. Results showed that preheating the chicken fat biodiesel improved engine performance by reducing fuel consumption and brake specific fuel consumption. Preheating also improved combustion and lowered exhaust emissions of carbon monoxide and unburned hydrocarbons compared to unheated chicken fat biodiesel. The study concluded that preheated chicken fat biodiesel can be used
This document discusses a study that examined the effect of compression ratio on the performance and emissions of a diesel engine modified to operate as a dual fuel engine using biogas and diesel. The engine was tested at compression ratios of 14:1, 16:1, and 18:1 while varying the load. Brake thermal efficiency and mechanical efficiency were highest at a compression ratio of 18:1, while brake specific fuel consumption was lowest. NOx and CO2 emissions increased with compression ratio and were highest at 18:1, while HC and CO emissions decreased with compression ratio and were highest at 14:1. The study found that a compression ratio of 18:1 produced the best performance and lowest emissions in the biogas-diesel
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...IAEME Publication
- The study examined exhaust emissions from a diesel engine with a ceramic-coated cylinder head (low-grade low heat rejection combustion chamber) fueled with cottonseed biodiesel under various operating conditions.
- Particulate emissions decreased and NOx levels increased with the low heat rejection combustion chamber compared to a conventional engine, due to improved combustion. Biodiesel also reduced particulate emissions but increased NOx levels over diesel.
- Preheating the biodiesel reduced both particulate emissions and NOx emissions in both combustion chamber types by improving fuel properties. Higher injector opening pressure generally improved emissions by enhancing atomization and air-fuel mixing.
Modeling and Grey Relational Multi-response Optimization Performance Efficien...IRJET Journal
This document presents a study that used Taguchi design of experiments and grey relational analysis to optimize the performance of a diesel engine fueled with diesel and hydrogen blends. The factors investigated were engine load, hydrogen percentage, multi-walled carbon nanotubes, ignition pressure, and ignition timing. The optimal settings identified were 25% engine load, 20% hydrogen, 50 ppm multi-walled carbon nanotubes, 220 bar ignition pressure, and 21 degrees before top dead center ignition timing. Analysis of variance showed that engine load had the greatest influence on overall performance. The optimal settings were found to improve brake thermal efficiency and reduce fuel consumption and emissions. However, further experimental validation is still needed to confirm the predicted optimal
1) The document presents the results of an experimental study investigating the performance of a single cylinder diesel engine fueled with blends of palm biodiesel and diesel.
2) The performance parameters of brake power, brake thermal efficiency, specific fuel consumption, and mechanical efficiency were evaluated for various blends (P10, P20, P40, P60, P80) and compared to diesel (P0) and pure palm biodiesel (P100).
3) The results show that brake thermal efficiency slightly decreased with increasing palm biodiesel concentration in the blends, while specific fuel consumption increased. The P40 blend performed closest to diesel in terms of fuel consumption.
The document summarizes an experimental investigation into the performance and emissions of a diesel engine fueled with preheated corn oil methyl ester (COME) biodiesel at different temperatures. COME was produced via transesterification of corn oil with methanol. The engine was tested using diesel and blends of preheated COME at 50°C, 70°C, and 90°C. Brake thermal efficiency increased and BSFC decreased with COME preheated to 70°C due to improved combustion from reduced viscosity. Exhaust emissions of CO and HC decreased but NOx increased with COME. Performance generally decreased as the COME percentage in blends rose. Preheating COME to 70°C allowed
Performance and emission study of jatropha biodiesel and its blendsIAEME Publication
The document analyzes the performance and emissions of a compression ignition engine fueled with jatropha biodiesel blends. Physicochemical properties and performance parameters like brake thermal efficiency, brake specific fuel consumption, and emissions like exhaust temperature and smoke were tested for diesel (D100), and blends containing 10%, 20%, 30% jatropha biodiesel and 70%, 80%, 90% diesel. Test results showed brake thermal efficiency was higher for biodiesel blends at lower loads. Exhaust temperature was higher for blends but the blend with 5% hexane additive had the lowest temperature. Smoke emissions were slightly higher for blends than diesel at medium brake mean effective pressures.
Performance and emission study of jatropha biodiesel and its blendsIAEME Publication
The document analyzes the performance and emissions of a compression ignition engine fueled with jatropha biodiesel blends. Physicochemical properties and performance parameters like brake thermal efficiency, brake specific fuel consumption, and emissions like exhaust temperature and smoke were tested for diesel (D100), and blends containing 10%, 20%, 30% jatropha biodiesel and 70%, 80%, 90% diesel. Test results showed brake thermal efficiency was higher for biodiesel blends at lower loads. Exhaust temperature was higher for blends but the blend with 5% hexane additive had the lowest temperature. Smoke emissions were slightly higher for blends than diesel at medium brake mean effective pressures.
Emission Analysis of Sapodilla seed oil as bio-dieselIJCMESJOURNAL
The study in made to replace the existing diesel fuel with the bio – fuels, for this fruit like Sapodilla seed oil as bio – diesel is utilized. The main objective of this work is to discuss the impact of biodiesel from Sapodilla fruit seed oil bio-diesel on performance, combustion and emission characteristics diesel. In this study, the effect of bio-diesel from fruit seed oil [Sapodilla seed oil] and its blends on a single cylinder Kirloskar TV-1 diesel engine were investigated. In this work, the performance, combustion and emission analysis were conducted. The tests were performed at steady state conditions with the blend ratio of B25, B50, B75 and B100. These represent the ratio of biodiesel in the blend and the rest diesel. The aim of this investigation was to reformulate the fuel to utilize the biodiesel and its blend to enhance the fuels performance, combustion characteristic and to reduce the pollution from the engine. In this work only Sapodilla seed oil bio-diesel is utilized for the experimental work. The experimental results reveal a marginal decrease in brake thermal efficiency when compared to that of sole fuel. In this investigation, the emission test were done with the help of AVL DI gas analyzer, in which CO, HC and NOx are appreciably reduced on the other hand smoke, CO2 have marginal increased when compared to that of sole fuel. In this work combustion analysis also made with the help of AVL combustion analyzer in which bio diesel blend shows the better result when compared with diesel.
Because of the rapid growth in technology breakthroughs, including
multimedia and cell phones, Telugu character recognition (TCR) has recently
become a popular study area. It is still necessary to construct automated and
intelligent online TCR models, even if many studies have focused on offline
TCR models. The Telugu character dataset construction and validation using
an Inception and ResNet-based model are presented. The collection of 645
letters in the dataset includes 18 Achus, 38 Hallus, 35 Othulu, 34×16
Guninthamulu, and 10 Ankelu. The proposed technique aims to efficiently
recognize and identify distinctive Telugu characters online. This model's main
pre-processing steps to achieve its goals include normalization, smoothing,
and interpolation. Improved recognition performance can be attained by using
stochastic gradient descent (SGD) to optimize the model's hyperparameters.
Scientific workload execution on a distributed computing platform such as a
cloud environment is time-consuming and expensive. The scientific workload
has task dependencies with different service level agreement (SLA)
prerequisites at different levels. Existing workload scheduling (WS) designs
are not efficient in assuring SLA at the task level. Alongside, induces higher
costs as the majority of scheduling mechanisms reduce either time or energy.
In reducing, cost both energy and makespan must be optimized together for
allocating resources. No prior work has considered optimizing energy and
processing time together in meeting task level SLA requirements. This paper
presents task level energy and performance assurance-workload scheduling
(TLEPA-WS) algorithm for the distributed computing environment. The
TLEPA-WS guarantees energy minimization with the performance
requirement of the parallel application under a distributed computational
environment. Experiment results show a significant reduction in using energy
and makespan; thereby reducing the cost of workload execution in comparison
with various standard workload execution models.
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This document summarizes a study that tested the effects of adding copper oxide and carbon nanotubes as additives to a 20:80 blend of biodiesel and diesel in a variable compression ratio engine. The study found that some additive blends showed improvements in brake power output of up to 2% and brake thermal efficiency of up to 3.9% compared to pure diesel, along with reductions in harmful emissions like carbon monoxide, hydrocarbons, nitrogen oxides, and smoke. Specifically, a blend with 40ppm of carbon nanotubes and 20ppm of copper oxide performed the best, showing lower emissions and higher power and efficiency than other blends and pure diesel. The document concludes the additive blends,
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This document describes a computer simulation model developed to predict the performance of a diesel engine operating on biodiesel blends. The model uses a single zone thermodynamic approach to simulate the engine cycle from intake to exhaust. It calculates properties such as cylinder pressure, heat release, temperature and engine performance parameters like brake power and efficiency. The model was validated by comparing the simulation results with experimental data, and was found to satisfactorily predict combustion and performance characteristics. The simulation model can be used to study the effects of operating a diesel engine on biodiesel blends without extensive experimental testing.
The document describes a study that used the Taguchi method to optimize engine parameters to reduce particulate matter (PM) and smoke opacity emissions from a diesel engine fueled with jatropha biodiesel blends. Three control factors were tested - engine load, percentage of biodiesel in the blend, and fuel injection pressure. Experiments were designed using an L16 orthogonal array. Results found that engine load had the greatest influence on emissions, followed by percentage of biodiesel, with injection pressure having the least effect. The optimized parameters were found to be an engine load of 25%, a biodiesel percentage of 40%, and an injection pressure of 220 bar.
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This document discusses the results of an experimental study analyzing the emissions of a single cylinder diesel engine using blends of diesel and castor biodiesel. The study tested various blends and found that a blend of 85% diesel and 15% castor biodiesel (Sample 2) produced the lowest emissions of NOx, unburnt hydrocarbons, and exhaust gas temperatures compared to other blends and pure diesel. The conclusion is that the use of castor biodiesel blends can help reduce emissions and increase the use of waste lands for fuel production in rural areas.
Performance characteristics for the use of blended safflower oil in diesel en...IAEME Publication
This document summarizes a study on the performance of a diesel engine fueled with blends of safflower oil and diesel. Safflower oil-diesel blends with safflower oil content ranging from 20-100% by volume were tested in a single cylinder diesel engine. The results showed that the B20 blend had the lowest fuel consumption and brake specific fuel consumption compared to other blends and diesel. The B20 blend also achieved 4% higher brake thermal efficiency than diesel alone. Emissions of smoke were lowest with the B20 blend compared to other fuels tested. Overall, the B20 safflower oil-diesel blend provided better engine performance and lower emissions than other blends or diesel alone.
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The engine performance and emission characteristics of mahua (madhuca indica) biodiesel and its blends with diesel is presented. The thermo-physical properties of all the fuel blends have been measured and presented. The engine tests are conducted on a 4 Stroke Tangentially Vertical (TV) single cylinder kirloskar 1500 rpm water cooled direct injection diesel engine with eddy current dynamometer at different injection timings of 20°, 21°, 22° and 23° bTDC with standard nozzle opening pressure of 220 bar maintained as constant throughout the experiment. From the test results, it is observed that the lower injection timing of 20° bTDC and modified nozzle opening pressure of 220 bars gives better performance and significant reduction in emissions.
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This document discusses an experimental investigation of the performance and emissions of a diesel engine fueled with diesel-ethanol blends and additives of butanol and diethyl ether. The study tested various diesel-ethanol-additive blends at different compression ratios in a variable compression ratio engine. Performance parameters like brake thermal efficiency and emissions of CO2, CO, NOx and smoke were evaluated. The results showed that adding oxygenated additives like butanol and diethyl ether to diesel-ethanol blends can improve the engine performance and emissions characteristics.
ICME 2015 - Experimental Study on the Performance Characteristics and Emissio...Ekramul Haque Ehite
This document presents an experimental study on the performance and emissions of a diesel engine using vegetable oils. Sesame seed oil and rice bran oil were tested in various blends with kerosene as fuel for a diesel engine. The properties of the fuels were analyzed and compared to diesel. The engine was then tested using the various fuel blends. It was found that rice bran oil blends performed better than sesame oil blends in terms of power, fuel consumption and carbon monoxide emissions. Emissions generally increased with vegetable oil blends compared to diesel, but rice bran oil blends had lower emissions than sesame oil blends. This study shows the potential for using vegetable oils and their blends as alternative fuels in diesel
EFFECT OF ADDITIVE AND RAW RUBBER SEED OIL MIXTURE IN A BIODIESEL IAEME Publication
The main advantage favouring biofuels is that they are biodegradable and thus do not cause harm to the environment. Department of Energy study showed that the production and use of biodiesel, compared to petroleum diesel, resulted in a 78.5% reduction in carbon dioxide emissions The present study aims to investigate the importance of additives in biodiesel blends. Here DEE (Diethyl ether) used as the additives. The main aim of this study is to analyse the effect of compression ratio on the performance and emission of blends of biodiesel with and without using additives. The test has been conducted on three different fuels blends on a single cylinder VCR (Variable Compression Ratio Engine) DI diesel engine at a compression ratio of 16. The performance parameters include BTE, SFC, BP, Volumetric Efficiency and Mechanical efficiency. The exhaust gas emission is found to contain CO, HC, NOx and CO2.The three different fuel blends are 1) standard diesel 2) 20%Jatropha biodiesel, 3) diesel+20%Jatropha+5%DEE+ 3ml raw rubber seed oil. The result of the experimental works has been compared with standard diesel and it concludes considerable improvement in the performance parameters, as well as exhaust emissions.
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF COMBUSTION BEHAVIOUR IN DIESEL EN...Khatir NAIMA
The aim of this investigation is to evaluate the usability of waste polyethylene oil as an alternative fuel for diesel engines. The novel fuel is obtained by a pyrolysis process of waste polyethylene at 973 K. The obtained oil is tested in a single cylinder air cooled (TS1) direct injection diesel engine at 1500 rpm. Engine performances and exhaust pollutant emissions from Waste Polyethylene Oil (WPO) were analysed and compared to those obtained from the same engine fuelled with conventional diesel fuel. Results showed that the total fuel consumption of WPO is lower than that of neat diesel fuel due to the higher heating value of WPO. Brake Thermal Efficiency (BTE) is improved for WPO especially at low load. The exhaust gas temperature is lower for WPO than that of diesel at low and full load. CO and UHC are found lower, while NOx emissions are higher at high loads. Furthermore, the use of numerical investigation permits to optimize the injection parameters, which can help to take advantages of WPO fuel. The simulation results suggest advancing the injection timing.
Performance and emission characteristics of di ci diesel engine with preIAEME Publication
This document summarizes an experimental study that investigated the performance and emission characteristics of a direct injection compression ignition diesel engine fueled with preheated chicken fat biodiesel. The engine performance, combustion characteristics, and exhaust emissions were tested and compared for petroleum diesel, unheated chicken fat biodiesel, and chicken fat biodiesel preheated to 50°C. Results showed that preheating the chicken fat biodiesel improved engine performance by reducing fuel consumption and brake specific fuel consumption. Preheating also improved combustion and lowered exhaust emissions of carbon monoxide and unburned hydrocarbons compared to unheated chicken fat biodiesel. The study concluded that preheated chicken fat biodiesel can be used
This document discusses a study that examined the effect of compression ratio on the performance and emissions of a diesel engine modified to operate as a dual fuel engine using biogas and diesel. The engine was tested at compression ratios of 14:1, 16:1, and 18:1 while varying the load. Brake thermal efficiency and mechanical efficiency were highest at a compression ratio of 18:1, while brake specific fuel consumption was lowest. NOx and CO2 emissions increased with compression ratio and were highest at 18:1, while HC and CO emissions decreased with compression ratio and were highest at 14:1. The study found that a compression ratio of 18:1 produced the best performance and lowest emissions in the biogas-diesel
STUDIES ON EXHAUST EMISSIONS OF CERAMIC COATED DI DIESEL ENGINE FUELLED WITH ...IAEME Publication
- The study examined exhaust emissions from a diesel engine with a ceramic-coated cylinder head (low-grade low heat rejection combustion chamber) fueled with cottonseed biodiesel under various operating conditions.
- Particulate emissions decreased and NOx levels increased with the low heat rejection combustion chamber compared to a conventional engine, due to improved combustion. Biodiesel also reduced particulate emissions but increased NOx levels over diesel.
- Preheating the biodiesel reduced both particulate emissions and NOx emissions in both combustion chamber types by improving fuel properties. Higher injector opening pressure generally improved emissions by enhancing atomization and air-fuel mixing.
Modeling and Grey Relational Multi-response Optimization Performance Efficien...IRJET Journal
This document presents a study that used Taguchi design of experiments and grey relational analysis to optimize the performance of a diesel engine fueled with diesel and hydrogen blends. The factors investigated were engine load, hydrogen percentage, multi-walled carbon nanotubes, ignition pressure, and ignition timing. The optimal settings identified were 25% engine load, 20% hydrogen, 50 ppm multi-walled carbon nanotubes, 220 bar ignition pressure, and 21 degrees before top dead center ignition timing. Analysis of variance showed that engine load had the greatest influence on overall performance. The optimal settings were found to improve brake thermal efficiency and reduce fuel consumption and emissions. However, further experimental validation is still needed to confirm the predicted optimal
1) The document presents the results of an experimental study investigating the performance of a single cylinder diesel engine fueled with blends of palm biodiesel and diesel.
2) The performance parameters of brake power, brake thermal efficiency, specific fuel consumption, and mechanical efficiency were evaluated for various blends (P10, P20, P40, P60, P80) and compared to diesel (P0) and pure palm biodiesel (P100).
3) The results show that brake thermal efficiency slightly decreased with increasing palm biodiesel concentration in the blends, while specific fuel consumption increased. The P40 blend performed closest to diesel in terms of fuel consumption.
The document summarizes an experimental investigation into the performance and emissions of a diesel engine fueled with preheated corn oil methyl ester (COME) biodiesel at different temperatures. COME was produced via transesterification of corn oil with methanol. The engine was tested using diesel and blends of preheated COME at 50°C, 70°C, and 90°C. Brake thermal efficiency increased and BSFC decreased with COME preheated to 70°C due to improved combustion from reduced viscosity. Exhaust emissions of CO and HC decreased but NOx increased with COME. Performance generally decreased as the COME percentage in blends rose. Preheating COME to 70°C allowed
Performance and emission study of jatropha biodiesel and its blendsIAEME Publication
The document analyzes the performance and emissions of a compression ignition engine fueled with jatropha biodiesel blends. Physicochemical properties and performance parameters like brake thermal efficiency, brake specific fuel consumption, and emissions like exhaust temperature and smoke were tested for diesel (D100), and blends containing 10%, 20%, 30% jatropha biodiesel and 70%, 80%, 90% diesel. Test results showed brake thermal efficiency was higher for biodiesel blends at lower loads. Exhaust temperature was higher for blends but the blend with 5% hexane additive had the lowest temperature. Smoke emissions were slightly higher for blends than diesel at medium brake mean effective pressures.
Performance and emission study of jatropha biodiesel and its blendsIAEME Publication
The document analyzes the performance and emissions of a compression ignition engine fueled with jatropha biodiesel blends. Physicochemical properties and performance parameters like brake thermal efficiency, brake specific fuel consumption, and emissions like exhaust temperature and smoke were tested for diesel (D100), and blends containing 10%, 20%, 30% jatropha biodiesel and 70%, 80%, 90% diesel. Test results showed brake thermal efficiency was higher for biodiesel blends at lower loads. Exhaust temperature was higher for blends but the blend with 5% hexane additive had the lowest temperature. Smoke emissions were slightly higher for blends than diesel at medium brake mean effective pressures.
Emission Analysis of Sapodilla seed oil as bio-dieselIJCMESJOURNAL
The study in made to replace the existing diesel fuel with the bio – fuels, for this fruit like Sapodilla seed oil as bio – diesel is utilized. The main objective of this work is to discuss the impact of biodiesel from Sapodilla fruit seed oil bio-diesel on performance, combustion and emission characteristics diesel. In this study, the effect of bio-diesel from fruit seed oil [Sapodilla seed oil] and its blends on a single cylinder Kirloskar TV-1 diesel engine were investigated. In this work, the performance, combustion and emission analysis were conducted. The tests were performed at steady state conditions with the blend ratio of B25, B50, B75 and B100. These represent the ratio of biodiesel in the blend and the rest diesel. The aim of this investigation was to reformulate the fuel to utilize the biodiesel and its blend to enhance the fuels performance, combustion characteristic and to reduce the pollution from the engine. In this work only Sapodilla seed oil bio-diesel is utilized for the experimental work. The experimental results reveal a marginal decrease in brake thermal efficiency when compared to that of sole fuel. In this investigation, the emission test were done with the help of AVL DI gas analyzer, in which CO, HC and NOx are appreciably reduced on the other hand smoke, CO2 have marginal increased when compared to that of sole fuel. In this work combustion analysis also made with the help of AVL combustion analyzer in which bio diesel blend shows the better result when compared with diesel.
Similar to Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine (20)
Because of the rapid growth in technology breakthroughs, including
multimedia and cell phones, Telugu character recognition (TCR) has recently
become a popular study area. It is still necessary to construct automated and
intelligent online TCR models, even if many studies have focused on offline
TCR models. The Telugu character dataset construction and validation using
an Inception and ResNet-based model are presented. The collection of 645
letters in the dataset includes 18 Achus, 38 Hallus, 35 Othulu, 34×16
Guninthamulu, and 10 Ankelu. The proposed technique aims to efficiently
recognize and identify distinctive Telugu characters online. This model's main
pre-processing steps to achieve its goals include normalization, smoothing,
and interpolation. Improved recognition performance can be attained by using
stochastic gradient descent (SGD) to optimize the model's hyperparameters.
Scientific workload execution on a distributed computing platform such as a
cloud environment is time-consuming and expensive. The scientific workload
has task dependencies with different service level agreement (SLA)
prerequisites at different levels. Existing workload scheduling (WS) designs
are not efficient in assuring SLA at the task level. Alongside, induces higher
costs as the majority of scheduling mechanisms reduce either time or energy.
In reducing, cost both energy and makespan must be optimized together for
allocating resources. No prior work has considered optimizing energy and
processing time together in meeting task level SLA requirements. This paper
presents task level energy and performance assurance-workload scheduling
(TLEPA-WS) algorithm for the distributed computing environment. The
TLEPA-WS guarantees energy minimization with the performance
requirement of the parallel application under a distributed computational
environment. Experiment results show a significant reduction in using energy
and makespan; thereby reducing the cost of workload execution in comparison
with various standard workload execution models.
Investigating human subjects is the goal of predicting human emotions in the
real world scenario. A significant number of psychological effects require
(feelings) to be produced, directly releasing human emotions. The
development of effect theory leads one to believe that one must be aware of
one's sentiments and emotions to forecast one's behavior. The proposed line
of inquiry focuses on developing a reliable model incorporating
neurophysiological data into actual feelings. Any change in emotional affect
will directly elicit a response in the body's physiological systems. This
approach is named after the notion of Gaussian mixture models (GMM). The
statistical reaction following data processing, quantitative findings on emotion
labels, and coincidental responses with training samples all directly impact the
outcomes that are accomplished. In terms of statistical parameters such as
population mean and standard deviation, the suggested method is evaluated
compared to a technique considered to be state-of-the-art. The proposed
system determines an individual's emotional state after a minimum of 6
iterative learning using the Gaussian expectation-maximization (GEM)
statistical model, in which the iterations tend to continue to zero error. Perhaps
each of these improves predictions while simultaneously increasing the
amount of value extracted.
Early diagnosis of cancers is a major requirement for patients and a
complicated job for the oncologist. If it is diagnosed early, it could have made
the patient more likely to live. For a few decades, fuzzy logic emerged as an
emphatic technique in the identification of diseases like different types of
cancers. The recognition of cancer diseases mostly operated with inexactness,
inaccuracy, and vagueness. This paper aims to design the fuzzy expert system
(FES) and its implementation for the detection of prostate cancer. Specifically,
prostate-specific antigen (PSA), prostate volume (PV), age, and percentage
free PSA (%FPSA) are used to determine prostate cancer risk (PCR), while
PCR serves as an output parameter. Mamdani fuzzy inference method is used
to calculate a range of PCR. The system provides a scale of risk of prostate
cancer and clears the path for the oncologist to determine whether their
patients need a biopsy. This system is fast as it requires minimum calculation
and hence comparatively less time which reduces mortality and morbidity and
is more reliable than other economic systems and can be frequently used by
doctors.
The biomedical profession has gained importance due to the rapid and accurate diagnosis of clinical patients using computer-aided diagnosis (CAD) tools.
The diagnosis and treatment of Alzheimer’s disease (AD) using complementary multimodalities can improve the quality of life and mental state of patients.
In this study, we integrated a lightweight custom convolutional neural network
(CNN) model and nature-inspired optimization techniques to enhance the performance, robustness, and stability of progress detection in AD. A multi-modal
fusion database approach was implemented, including positron emission tomography (PET) and magnetic resonance imaging (MRI) datasets, to create a fused
database. We compared the performance of custom and pre-trained deep learning models with and without optimization and found that employing natureinspired algorithms like the particle swarm optimization algorithm (PSO) algorithm significantly improved system performance. The proposed methodology,
which includes a fused multimodality database and optimization strategy, improved performance metrics such as training, validation, test accuracy, precision, and recall. Furthermore, PSO was found to improve the performance of
pre-trained models by 3-5% and custom models by up to 22%. Combining different medical imaging modalities improved the overall model performance by
2-5%. In conclusion, a customized lightweight CNN model and nature-inspired
optimization techniques can significantly enhance progress detection, leading to
better biomedical research and patient care.
Class imbalance is a pervasive issue in the field of disease classification from
medical images. It is necessary to balance out the class distribution while training a model. However, in the case of rare medical diseases, images from affected
patients are much harder to come by compared to images from non-affected
patients, resulting in unwanted class imbalance. Various processes of tackling
class imbalance issues have been explored so far, each having its fair share of
drawbacks. In this research, we propose an outlier detection based image classification technique which can handle even the most extreme case of class imbalance. We have utilized a dataset of malaria parasitized and uninfected cells. An
autoencoder model titled AnoMalNet is trained with only the uninfected cell images at the beginning and then used to classify both the affected and non-affected
cell images by thresholding a loss value. We have achieved an accuracy, precision, recall, and F1 score of 98.49%, 97.07%, 100%, and 98.52% respectively,
performing better than large deep learning models and other published works.
As our proposed approach can provide competitive results without needing the
disease-positive samples during training, it should prove to be useful in binary
disease classification on imbalanced datasets.
Recently, plant identification has become an active trend due to encouraging
results achieved in plant species detection and plant classification fields
among numerous available plants using deep learning methods. Therefore,
plant classification analysis is performed in this work to address the problem
of accurate plant species detection in the presence of multiple leaves together,
flowers, and noise. Thus, a convolutional neural network based deep feature
learning and classification (CNN-DFLC) model is designed to analyze
patterns of plant leaves and perform classification using generated finegrained feature weights. The proposed CNN-DFLC model precisely estimates
which the given image belongs to which plant species. Several layers and
blocks are utilized to design the proposed CNN-DFLC model. Fine-grained
feature weights are obtained using convolutional and pooling layers. The
obtained feature maps in training are utilized to predict labels and model
performance is tested on the Vietnam plant image (VPN-200) dataset. This
dataset consists of a total number of 20,000 images and testing results are
achieved in terms of classification accuracy, precision, recall, and other
performance metrics. The mean classification accuracy obtained using the
proposed CNN-DFLC model is 96.42% considering all 200 classes from the
VPN-200 dataset.
Big data as a service (BDaaS) platform is widely used by various
organizations for handling and processing the high volume of data generated
from different internet of things (IoT) devices. Data generated from these IoT
devices are kept in the form of big data with the help of cloud computing
technology. Researchers are putting efforts into providing a more secure and
protected access environment for the data available on the cloud. In order to
create a safe, distributed, and decentralised environment in the cloud,
blockchain technology has emerged as a useful tool. In this research paper, we
have proposed a system that uses blockchain technology as a tool to regulate
data access that is provided by BDaaS platforms. We are securing the access
policy of data by using a modified form of ciphertext policy-attribute based
encryption (CP-ABE) technique with the help of blockchain technology. For
secure data access in BDaaS, algorithms have been created using a mix of CPABE with blockchain technology. Proposed smart contract algorithms are
implemented using Eclipse 7.0 IDE and the cloud environment has been
simulated on CloudSim tool. Results of key generation time, encryption time,
and decryption time has been calculated and compared with access control
mechanism without blockchain technology.
Internet of things (IoT) has become one of the eminent phenomena in human
life along with its collaboration with wireless sensor networks (WSNs), due
to enormous growth in the domain; there has been a demand to address the
various issues regarding it such as energy consumption, redundancy, and
overhead. Data aggregation (DA) is considered as the basic mechanism to
minimize the energy efficiency and communication overhead; however,
security plays an important role where node security is essential due to the
volatile nature of WSN. Thus, we design and develop proximate node aware
secure data aggregation (PNA-SDA). In the PNA-SDA mechanism, additional
data is used to secure the original data, and further information is shared with
the proximate node; moreover, further security is achieved by updating the
state each time. Moreover, the node that does not have updated information is
considered as the compromised node and discarded. PNA-SDA is evaluated
considering the different parameters like average energy consumption, and
average deceased node; also, comparative analysis is carried out with the
existing model in terms of throughput and correct packet identification.
Drones provide an alternative progression in protection submissions since
they are capable of conducting autonomous seismic investigations. Recent
advancement in unmanned aerial vehicle (UAV) communication is an internet
of a drone combined with 5G networks. Because of the quick utilization of
rapidly progressed registering frameworks besides 5G officialdoms, the
information from the user is consistently refreshed and pooled. Thus, safety
or confidentiality is vital among clients, and a proficient substantiation
methodology utilizing a vigorous sanctuary key. Conventional procedures
ensure a few restrictions however taking care of the assault arrangements in
information transmission over the internet of drones (IOD) environmental
frameworks. A unique hyperelliptical curve (HEC) cryptographically based
validation system is proposed to provide protected data facilities among
drones. The proposed method has been compared with the existing methods
in terms of packet loss rate, computational cost, and delay and thereby
provides better insight into efficient and secure communication. Finally, the
simulation results show that our strategy is efficient in both computation and
communication.
Monitoring behavior, numerous actions, or any such information is considered
as surveillance and is done for information gathering, influencing, managing,
or directing purposes. Citizens employ surveillance to safeguard their
communities. Governments do this for the purposes of intelligence collection,
including espionage, crime prevention, the defense of a method, a person, a
group, or an item; or the investigation of criminal activity. Using an internet
of things (IoT) rover, the area will be secured with better secrecy and
efficiency instead of humans, will provide an additional safety step. In this
paper, there is a discussion about an IoT rover for remote surveillance based
around a Raspberry Pi microprocessor which will be able to monitor a
closed/open space. This rover will allow safer survey operations and would
help to reduce the risks involved with it.
In a world where climate change looms large the spotlight often shines on
greenhouse gases, but the shadow of man-made aerosols should not be
underestimated. These tiny particles play a pivotal role in disrupting Earth's
radiative equilibrium, yet many mysteries surround their influence on various
physical aspects of our planet. The root of these mysteries lies in the limited
data we have on aerosol sources, formation processes, conversion dynamics,
and collection methods. Aerosols, composed of particulate matter (PM),
sulfates, and nitrates, hold significant sway across the hemisphere. Accurate
measurement demands the refinement of in-situ, satellite, and ground-based
techniques. As aerosols interact intricately with the environment, their full
impact remains an enigma. Enter a groundbreaking study in Morocco that
dared to compare an internet of thing (IoT) system with satellite-based
atmospheric models, with a focus on fine particles below 10 and 2.5
micrometers in diameter. The initial results, particularly in regions abundant
with extraction pits, shed light on the IoT system's potential to decode
aerosols' role in the grand narrative of climate change. These findings inspire
hope as we confront the formidable global challenge of climate change.
The use of technology has a significant impact to reduce the consequences of
accidents. Sensors, small components that detect interactions experienced by
various components, play a crucial role in this regard. This study focuses on
how the MPU6050 sensor module can be used to detect the movement of
people who are falling, defined as the inability of the lower body, including
the hips and feet, to support the body effectively. An airbag system is
proposed to reduce the impact of a fall. The data processing method in this
study involves the use of a threshold value to identify falling motion. The
results of the study have identified a threshold value for falling motion,
including an acceleration relative (AR) value of less than or equal to 0.38 g,
an angle slope of more than or equal to 40 degrees, and an angular velocity
of more than or equal to 30 °/s. The airbag system is designed to inflate
faster than the time of impact, with a gas flow rate of 0.04876 m3
/s and an
inflating time of 0.05 s. The overall system has a specificity value of 100%,
a sensitivity of 85%, and an accuracy of 94%.
The fundamental principle of the paper is that the soil moisture sensor obtains
the moisture content level of the soil sample. The water pump is automatically
activated if the moisture content is insufficient, which causes water to flow
into the soil. The water pump is immediately turned off when the moisture
content is high enough. Smart home, smart city, smart transportation, and
smart farming are just a few of the new intelligent ideas that internet of things
(IoT) includes. The goal of this method is to increase productivity and
decrease manual labour among farmers. In this paper, we present a system for
monitoring and regulating water flow that employs a soil moisture sensor to
keep track of soil moisture content as well as the land’s water level to keep
track of and regulate the amount of water supplied to the plant. The device
also includes an automated led lighting system.
In order to provide sensing services to low-powered IoT devices, wireless sensor networks (WSNs) organize specialized transducers into networks. Energy usage is one of the most important design concerns in WSN because it is very hard to replace or recharge the batteries in sensor nodes. For an energy-constrained network, the clustering technique is crucial in preserving battery life. By strategically selecting a cluster head (CH), a network's load can be balanced, resulting in decreased energy usage and extended system life. Although clustering has been predominantly used in the literature, the concept of chain-based clustering has not yet been explored. As a result, in this paper, we employ a chain-based clustering architecture for data dissemination in the network. Furthermore, for CH selection, we employ the coati optimisation algorithm, which was recently proposed and has demonstrated significant improvement over other optimization algorithms. In this method, the parameters considered for selecting the CH are energy, node density, distance, and the network’s average energy. The simulation results show tremendous improvement over the competitive cluster-based routing algorithms in the context of network lifetime, stability period (first node dead), transmission rate, and the network's power reserves.
The construction industry is an industry that is always surrounded by
uncertainties and risks. The industry is always associated with a threatindustry which has a complex, tedious layout and techniques characterized by
unpredictable circumstances. It comprises a variety of human talents and the
coordination of different areas and activities associated with it. In this
competitive era of the construction industry, delays and cost overruns of the
project are often common in every project and the causes of that are also
common. One of the problems which we are trying to cater to is the improper
handling of materials at the construction site. In this paper, we propose
developing a system that is capable of tracking construction material on site
that would benefit the contractor and client for better control over inventory
on-site and to minimize loss of material that occurs due to theft and misplacing
of materials.
Today, health monitoring relies heavily on technological advancements. This
study proposes a low-power wide-area network (LPWAN) based, multinodal
health monitoring system to monitor vital physiological data. The suggested
system consists of two nodes, an indoor node, and an outdoor node, and the
nodes communicate via long range (LoRa) transceivers. Outdoor nodes use an
MPU6050 module, heart rate, oxygen pulse, temperature, and skin resistance
sensors and transmit sensed values to the indoor node. We transferred the data
received by the master node to the cloud using the Adafruit cloud service. The
system can operate with a coverage of 4.5 km, where the optimal distance
between outdoor sensor nodes and the indoor master node is 4 km. To further
predict fall detection, various machine learning classification techniques have
been applied. Upon comparing various classifier techniques, the decision tree
method achieved an accuracy of 0.99864 with a training and testing ratio of
70:30. By developing accurate prediction models, we can identify high-risk
individuals and implement preventative measures to reduce the likelihood of
a fall occurring. Remote monitoring of the health and physical status of elderly
people has proven to be the most beneficial application of this technology.
The effectiveness of adaptive filters are mainly dependent on the design
techniques and the algorithm of adaptation. The most common adaptation
technique used is least mean square (LMS) due its computational simplicity.
The application depends on the adaptive filter configuration used and are well
known for system identification and real time applications. In this work, a
modified delayed μ-law proportionate normalized least mean square
(DMPNLMS) algorithm has been proposed. It is the improvised version of the
µ-law proportionate normalized least mean square (MPNLMS) algorithm.
The algorithm is realized using Ladner-Fischer type of parallel prefix
logarithmic adder to reduce the silicon area. The simulation and
implementation of very large-scale integration (VLSI) architecture are done
using MATLAB, Vivado suite and complementary metal–oxide–
semiconductor (CMOS) 90 nm technology node using Cadence RTL and
Genus Compiler respectively. The DMPNLMS method exhibits a reduction
in mean square error, a higher rate of convergence, and more stability. The
synthesis results demonstrate that it is area and delay effective, making it
practical for applications where a faster operating speed is required.
The increasing demand for faster, robust, and efficient device development of enabling technology to mass production of industrial research in circuit design deals with challenges like size, efficiency, power, and scalability. This paper, presents a design and analysis of low power high speed full adder using negative capacitance field effecting transistors. A comprehensive study is performed with adiabatic logic and reversable logic. The performance of full adder is studied with metal oxide field effect transistor (MOSFET) and negative capacitance field effecting (NCFET). The NCFET based full adder offers a low power and high speed compared with conventional MOSFET. The complete design and analysis are performed using cadence virtuoso. The adiabatic logic offering low delay of 0.023 ns and reversable logic is offering low power of 7.19 mw.
The global agriculture system faces significant challenges in meeting the
growing demand for food production, particularly given projections that the
world's population will reach 70% by 2050. Hydroponic farming is an
increasingly popular technique in this field, offering a promising solution to
these challenges. This paper will present the improvement of the current
traditional hydroponic method by providing a system that can be used to
monitor and control the important element in order to help the plant grow up
smoothly. This proposed system is quite efficient and user-friendly that can
be used by anyone. This is a combination of a traditional hydroponic system,
an automatic control system and a smartphone. The primary objective is to
develop a smart system capable of monitoring and controlling potential
hydrogen (pH) levels, a key factor that affects hydroponic plant growth.
Ultimately, this paper offers an alternative approach to address the challenges
of the existing agricultural system and promote the production of clean,
disease-free, and healthy food for a better future.
More from International Journal of Reconfigurable and Embedded Systems (20)
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DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine
1. International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol. 12, No. 3, November 2023, pp. 414~422
ISSN: 2089-4864, DOI: 10.11591/ijres.v12.i3pp414-422 414
Journal homepage: http://ijres.iaescore.com
Experimental study on the effects of injection timing using reuse
of waste energy as a fuel on a diesel engine
Dvsrbm Subrahmanyam, Jagadeesh Manikandan
Department of Mechanical Engineering, Annamalai University, Annamalainagar, India
Article Info ABSTRACT
Article history:
Received Feb 18, 2023
Revised Mar 29, 2023
Accepted Apr 17, 2023
In the course of this study, an eco-friendly alternative fuel was manufactured
by transesterifying waste oils with the help of alcohol and a catalyst. As
required by the American society for testing and materials (ASTM)
requirements, we conducted an analysis on the acquired waste cooking oil
biofuel (WOB) to determine its most important properties. We were
successful in producing three separate fuel mixes, which we will refer to as
BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel),
and BF0WOB100 (100% biofuel) respectively. This research used a diesel
engine with direct injection; the engine had a single cylinder, and the
computer that operated it was located in the cabin. The results showed that
the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss
in thermal efficiency while it was at a temperature of 26.5° b top dead center
(TDC) conditions with low injection time led to decreased levels of both
nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The
addition of 20% WOB to the fundamental fuel improved the engine
combustion characteristics at 26.5° b TDC. This improvement occurred at
the same time.
Keywords:
Biofuels
Diesel engine
Nitrogen oxides emissions
Thermal efficiency
Waste energy reuse
This is an open access article under the CC BY-SA license.
Corresponding Author:
Dvsrbm Subrahmanyam
Department of Mechanical Engineering, Annamalai University
Annamalainagar-608002, Chidambaram, Tamil Nadu, India
Email: subhramanyasharma@gmail.com
NOMENCLATURES
BF Base fuel CR Compression ratio
BTE Brake thermal efficiency HSL Hartridge smoke level
BF100WOB0 100% of base fuel and 0% of waste oil biodiesel ITs Injection timings
BF80WOB20 80% of base fuel and 20% of waste oil biodiesel MROPR Max. rise of pressure rate
BF0WOB100 0% of base fuel and100% of waste oil biodiesel NOx Nitrogen oxides
b TDC Before top dead center SFC Specific fuel consumption
WOB Waste oil biodiesel
1. INTRODUCTION
Global warming and its harmful consequences on the environment and human health are making
people increasingly aware of the problems that come with the modern world's reliance on fossil fuels. Less
use of fossil fuels might lower dangerous emissions by a large amount. It might be done by employing clean
energy instead of fossil fuels [1], [2]. Moreover, particulate matter (PM) and nitrogen oxides released by
diesel vehicles pose a threat to human health, which has slowed the development of diesel vehicles (NOx).
2. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
415
Diesel engines are the cause of about 90% of NOx and PM emissions. PM is linked to a wide range of bad
things that happen to people's health when they breathe it in. It causes respiratory and cardiovascular diseases
[3], [4]. In this way, research has shown that using diesel biodiesel blends can cut carbon monoxide (CO),
hydrocarbons, and particulate matter emissions by a lot. This is because biodiesel already has oxygen in it.
The authors were also told about some other fuels that are better for the environment [5]. Yang et al. [6] we
looked at how the timing of the injections influenced the combustion and emissions of a dual-direct-injection
diesel/NG engine that was running hard. The data reveal that making the brakes more thermally efficient
caused the CO2 emissions to rise from 15.6% to 6.4%. Overall, the time of NG injection may be shifted
forward to make the thermal efficiency better. Channapattana et al. [7] added nickel oxide nanoparticles to a
blend of Neem biodiesel and diesel fuel and ran it through a direct injection-compression ignition engine (DI-
CI) engine at different fuel injection times (19, 23 and 27 b top dead center (TDC)). Based on their studies of
performance and thermodynamics, they came to the conclusion that when Neem biodiesel is mixed with
diesel, the thermal efficiency goes up and the amount of radiation loss goes down. Valera et al. [8] mixed
methanol with diesel fuel and ran it through a DI-CI engine at different methanol injection rates. Based on
their studies of how things work, they found that when methanol is added to diesel, the NOx emissions go
down. Chaurasiya et al. [9] mixed 5% hydrogen, 5% diethyl ether, 5% n-butanol, and 5% microalgae with
95% diesel fuel, then ran the mixture through a DI-CI engine at different injection times (17.5-29.5° b TDC).
Based on their studies of how things work, they found that the injection timings must be moved back to lower
the charge temperature and reduce NOX emissions.
The proposed effort intends to establish a methodical approach to the use of used cooking oil as a
biofuel for the partial replacement of diesel fuel in CI engines. This will be accomplished via the use of a CI
engine. In addition, a unique technique is used by changing the injection time (18.5-26.5° b TDC) at varying
concentrations, and this study is expected to be the first of its sort to be published using BF80WOB20 mix. In
light of this, the purpose of this study is to investigate the performance, combustion, and emission
characteristics of a waste cooking oil biofuel mix with various injection timings.
2. PRODUCTION OF WASTE PLASTIC OIL BIODIESEL AND EXPERIMENTAL
2.1. Production of waste cooking oil biodiesel
Palm oil, sunflower oil, mustard oil, and soya oil were chosen for this study because they may be
used in many different ways in the kitchen and have a broad variety of fatty acid profiles. In the Indian state
of Tamil Nadu, there is a city called Chidambaram. In Chidambaram, there is a market where the oils were
bought. Biodiesel was made by melting down leftover cooking oils and putting them together with alcohol
and potassium hydroxide. Through a chemical process called transesterification, used cooking oils were
turned into waste cooking oil biodiesel (also called WOB) [10]–[12]. Before the transesterification procedure
could start, the WOB samples were filtered to get rid of any contaminants that could have been there. Table 1
shows what the fuel is and how it works. The process of preparing biofuel is shown in Figure 1. Figure 2
shows a sample of fuel. Figure 2(a) contains Basefuel100 (BF100) and Figure 2(b) contains WOB100.
Table 1. Belongings of various energies
Property BF100WOB0 BF80WOB20 BF0WOB100
Cetane number 45-52 52.9 49.5
Density (kg/m3
) at 15 C 838 849.5 874.75
Flash point (C) 61.2 52.6 36.5
Viscosity (mm2
/s) at 40 C 3.8 3.59 3.64
Calorific value (MJ/kg) 45.5 44.6 40.4
Figure 1. The process of preparing biofuel
3. ISSN: 2089-4864
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416
(a) (b)
Figure 2. Fuel sample of (a) Basefuel100 and (b) WOB100
2.2. Experimental test ring
A simplified diagram of the testing setup is shown in Figure 3. A summary of the test environment's
capabilities is provided in Table 2. The engine was loaded using a dynamometer. The amount of gasoline
flowing through the system at any one moment was determined with the use of a fuel meter. In order to
gauge the air flow rate, an air box was also fitted to the motor. The temperature of the exhaust gas was
measured with the help of a thermocouple and a digital temperature monitor. The cylinder pressure was
measured and recorded with the use of a charge amplifier and a pressure transducer that was affixed to the
engine's cylinder head. NOx, HC, and CO exhaust levels were measured using an exhaust gas analyzer
(Testo-350). Each test was conducted using an interface for a data collection system at the maximum engine
speed of 1,500 rpm.
Figure 3. Test setup
Table 2. Provisions of assessment machine
Limits Limits value
Engine stroke/cylinder Four/one
Higher than fuel injection pressure 230 bar
Rated speed 1,500 rpm
Dimension of bore/stroke 80/110 mm
Advanced fuel injection timing 17.5-27.5° b TDC
Compression ratio 18.5
Method of cooling Water
4. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
417
2.3. Experimental error analysis
An uncertainty analysis is of utmost significance for the experimental investigations since the
outcome of the analysis provides the readers with an idea about the correctness and repeatability of the data
that were delivered to them. Accordingly, a total uncertainty value of the findings is computed by making use
(1) [12] and basing it on the information shown in Table 3. The section of the text devoted to the
nomenclature provides readers with an explanation of the symbols. According to (1), the total amount of
suppositional uncertainty is 2.36%.
T = [(E1)2
+ (E2)2
+ ⋯ (En)2]1/2
(1)
Table 3. Uncertainties
Apparatus Uncertainty
Angle encoder ±0.2%
Pressure ±0.5%
Smoke ± 1.0%
Temperature ±0.5%
CO2 ± 0.5-1.0%
NOX ± 0.5-1.0%
Burette measurements. ±1.0%
Load meter ±0.2%
Indicator of speed ±1.0%
3. RESULTS AND DISCUSSION
3.1. Specific fuel consumption
The values of specific fuel consumption (SFC) are shown in Figure 4 for a variety of injection
timings when Figure 4 shows the values of SFC for a number of different injection timings while the engine
was running under full load conditions. When the engine was operating at its maximum load, for instance, the
SFC values for BF80WOB20 were higher than those of BF100WOB0 (408.4, 257.3, 252, 250.2, and 244.7
g/kWh) at 18.5, 20.5, 22.5, 24.5, and 26.5° b TDC respectively, and the SFC was higher by 4.3% at an
injection timing of 26.5° b DTC. Because biodiesel has a lower heating value than regular diesel, it takes
more fuel to create the same amount of heat, which leads to an increase in the SFC. This is one of the reasons
why biodiesel contributes to an increase in greenhouse gas emissions. The value of the SFC increases if there
is a higher quantity of each component present in the combination. When compared to diesel, the study
shows that proper ignition leads to a drop in SFC concentration with increasing load. This phenomenon is not
seen with diesel. The higher density of biodiesel fuel in comparison to gasoline fuel is another factor that
contributes to the rise in SFC that occurs with increasing percentages of biodiesel [13]. When the engine was
operating at its maximum capacity, a rise in the temperature within the cylinder as well as an increase in the
quantity of oxygen contained in the alternative contributed to an improvement in the mixes' fuel consumption
[14].
Figure 4. Specific fuel consumption with air force institute of technology (AFIT’S)
18.5 20.5 22.5 24.5 26.5
0
200
400
600
800
SFC
(g/kWh)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
5. ISSN: 2089-4864
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418
3.2. Brake thermal efficiency
Figure 5 presents the values of brake thermal efficiency (BTE) for a number of different injection
timings. The ratio of the power output of the engine to the energy content of the fuel that is injected into the
combustion chamber is referred to as the BTE. The mass flow rate of the fuel, in combination with the fuel's
lower heating value, is used to calculate the total amount of energy that the fuel contains. The biodiesel
showed a modest improvement in terms of BTE, which may be attributed to the fact that there was less fuel
atomization in the combustion cylinder. This might be due to the fact that diesel has a lower viscosity than
biodiesel [13], which is a fuel made from vegetable oils. While biodiesel has a greater viscosity. The BTE of
the examined gasoline mixes is shown in Figure 4 for a variety of different engine loads. The braking energy
transfer efficiency, also known as the BTE, is measured as the ratio of the braking power to the heat
equivalent of the fuel that was used. Due to the lower energy contents, the BTE for all fuel blends was
generally lower than that of diesel fuel [14]. If we compare BF80WOB20 and BF100WOB0 at full load, we
find that at 18.5° and 26.5° b DTC earlier injection time, the BTE values for the latter are lower by 2.0% and
3.1%, respectively. Fuel combustion efficiency of the mixes was enhanced while the engine was operating
under full load due to an increase in cylinder temperature and the quantity of oxygen present in the
alternative. Therefore, it increased BTE and enhanced combustion efficiency. At higher engine loads, the
increased in-cylinder temperature and heat of release rate caused the BTE for 18.5° b TDC, 20.5° b TDC,
22.5° b TDC, 24.5° b TDC, and 26.5° b TDC to be 30.82%, 32.5%, 33.9%, 33.9%, and 33.9% higher,
respectively, than WOB blends.
Figure 5. BTE with advanced fuel injection times (AFITs)
3.3. Cylinder pressure
Figure 6 shows a depiction of the link between crank angle and cylinder pressure for each of the test
fuels. This connection can be observed for each of the test fuels. When the engine was filled to its full
capacity, the BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern with regard to the
pressure within their respective cylinders. When measured against BF100WOB0 (89.3, 110.2, 116.3, 122.9
and 127.2 bar), the maximum cylinder pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1,113.3) at 18.5° b
TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is shown to be lowered by
4.0%, 16.1%, 20.1%, and it's possible that the high viscosity of the WOB, the high latent heat of evaporation,
and the poor igniting qualities are all to blame for this [15], [16].
3.4. Maximum rate of pressure rise
Figure 7 illustrates the maximum rate of pressure rise (MROPR) as well as the injection for each of
the test fuels. The exhaust gas temperature (EGT) of the BF100WOB0, BF80WOB20, and BF0WOB100 all
followed the same pattern when the engines were loaded to their maximum capacity. In comparison to
BF100WOB0 (4.2, 5.9, 6.2, 6.5 and 6.8 bar/deg.), the MROPR of BF80WOB20 (3.9, 4.0, 4.2, 4.3 and 4.6
bar/deg.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b TDC and 26.5° b TDC with 100% load is seen
to be 7.1%, 32.2%.
18.5 20.5 22.5 24.5 26.5
0
10
20
30
40
50
BTE
(%)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
6. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
419
Figure 6. Cylinder pressure with ITs
Figure 7. Maximum rate of pressure rise with ITs
3.5. NOx emission
Figure 8 depicts the range of nitrogen oxides (NOx) emissions achieved by varying the injection
time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity, the
NOx emissions from BF100WOB0, BF80WOB20, and BF0WOB100 all followed the same pattern. In
comparison to BF100WOB0 (827.8, 2352.5, 3052.9, 3450.8 and 4012.9 ppm), the NOx levels of
BF80WOB20 (732, 1822.5, 2525, 3003.4 and 3569.) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5° b
TDC and 26.5° b TDC with 100% load are observed to be 11.5%, 22.5% One possible explanation for this is
because the WOB has a lower temperature [17], [18]. When certain operating conditions, such as the air-to-
fuel ratio, are present, there is a general tendency for NOx emissions to rise as the combustion temperature
rises while the ignition timing advances the cetane number [19]-[21]. This is a pattern that can be observed
under certain circumstances.
300 320 340 360 380 400 420 440 460 480
0
30
60
90
120
150
Cylinder
pressure
(bar)
Crank angle (deg.)
BF100WOB0 @18.5
BF100WOB0 @22.5
BF100WOB0 @26.5
BF80WOB20 @18.5
BF80WOB20 @22.5
BF80WOB20 @26.5
BF0WOB100 @18.5
BF0WOB100 @22.5
BF0WOB100 @26.5
18.5 20.5 22.5 24.5 26.5
0
2
4
6
8
10
Max.
Rate
of
pressure
rise
(bar/deg.)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
7. ISSN: 2089-4864
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3.6. Smoke emission
By employing fuels with large volatilities, it is possible to efficiently cut down on the amount of
smoke emitted at early injection timings. When it comes to fuel blends, the effect of oxygenated content in
decreasing smoke emissions was major when the diesel energy ratio was increased, but the influence of fuel
volatilities became predominant when the diesel energy ratio was dropped. This is because the diesel energy
ratio is directly proportional to the amount of smoke emissions produced by the fuel [22], [23]. Both fuels
and loads contributed to an increase in the amount of smoke being emitted by the engines. When the quantity
of incoming fuel grew along with the increased load, adequate air was unable to be given, and as a
consequence, the amount of smoke that was created as a result of the rich mixture also increased
correspondingly [24], [25]. Figure 9 depicts the range of HSL emissions achieved by varying the injection
time for base fuel and biodiesel techniques. When the engines were loaded to their maximum capacity [26],
the patterns of smoke emission produced by BF100WOB0, BF80WOB20, and BF0WOB100 were identical.
In contrast to the smoke emission of BF100WOB0 (50.4, 39.8, 37.9, 35.6, and 34.2 HSL), the smoke
emission of BF80WOB20 (50.8, 47.8, 47.8, 40.9, and 39.2 HSL) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC,
and 24.5° b TDC and 26.5° b TDC with 100% load is noted to be 0.78%.
Figure 8. Engine NOx emission with ITs
Figure 9. HSL emission with ITs
18.5 20.5 22.5 24.5 26.5
0
1000
2000
3000
4000
5000
NOx
(ppm)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
18.5 20.5 22.5 24.5 26.5
0
10
20
30
40
50
60
70
80
90
100
Hartridge
Smoke
Level
(HSL)
ITs (deg.)
BF100WOB0
BF80WOB20
BF0WOB100
8. Int J Reconfigurable & Embedded Syst ISSN: 2089-4864
Experimental study on the effects of injection timing using reuse of waste … (Dvsrbm Subrahmanyam)
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4. CONCLUSION
The density and flash points of biodiesels generated with a greater percentage of WOB are well
within the standards for biodiesel in terms of density and temperature. Biodiesels derived from waste oil have
calorific values that are slightly lower than those of base fuel. This is due to the fact that biodiesel is made
from waste oil. Compared to BF100WOB0 (89.3, 110.2, 116.3, 122.9, and 127.2 bar), the maximum cylinder
pressure of BF80WOB20 (85.7, 92.3, 92.7, 108.1, 113.3) at 18.5° b TDC, 20.5° b TDC, 22.5° b TDC, 24.5°
b TDC, and 26.5° b TDC with 100% load is lower by 4.0%, 16.1%, 20.1%, 12.0% and 10.9%, respectively at
18.5 CR. This base fuel, which is made from used oil, makes a little more smoke than the base fuel itself
does. When compared to the basic fuel, there may be significant differences in the quantity of NOx that is
released. The quantity of BTE that is decided by WOB isn't as high as the amount that is determined by base
fuel. It has been shown that BF80WOB20 produces 11.0% less NOx at 26.5° b TDC and 100% load than
BF100WOB0 does at 18.5 CR. The current experimental study operated using BF80WOB20 blend at various
injection timings together with full load condition, and the results showed 22.5° to 26.5° b TDC improved
operating condition for the engine.
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BIOGRAPHIES OF AUTHORS
Dvsrbm Subrahmanyam has completed his B.Tech. (mechanical) from
Bundelkhand University, Jhansi and M.E. (Machine Design) from Rajeev Gandhi Technical
University, Bhopal. He is presently pursuing Ph.D. in Mechanical Engineering at Annamalai
University, Chidambaram. His research intensifies thermal engineering and design. He can be
contacted at email: subhramanyasharma@gmail.com.
Dr. Jagadeesh Manikandan has completed his B.E. (Mechanical), M.E. (Energy
Engineering and Management), and Ph.D. (Mechanical) at Annamalai University,
Chidambaram, Tamil Nadu State, India. He is actively involved in technical research for more
than two decades. He has published more than 10 research papers in reputed journals and
Ph.D. scholars in mechanical engineering domain. At present, he is deputed to the Constituent
College of Anna University. He can be contacted at email: jmanikandanrishi@rediffmail.com.