This document discusses assessing cutting fluid as a key parameter in evaluating surface finish for CNC turning operations. It begins with an abstract that outlines exploring tool-workpiece combinations of HCHCr material with cemented carbide and CBN tools. Statistical analysis methods like ANOVA, DOE and regression will be used to identify optimal machining parameters. Experimental validation will then be conducted to evaluate the determined parameters. A literature review covers previous research on optimizing surface roughness in turning. The problem statement identifies that variation in speed, feed, depth of cut and coolant type influence material removal rate and surface roughness. The objectives are to determine optimal values for these parameters to achieve desired surface finish with satisfactory material removal. The methodology will use analytical and physical
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presentswork of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presentswork of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
Process parameter optimization of SLM process and application of Taguchi appr...ijsrd.com
Selective Laser Melting (SLM) is an emerging powder based additive layer manufacturing technology that used to fabricate three-dimensional fully functional parts from metal powders by fusing the material in a layer by layer manner as per a CAD model. The quality of SLM produced parts is significantly affected by various manufacturing parameters of SLM machine. Hence optimization of SLM process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of SLM process and application of Taguchi approach. This review of work can be helpful to the other researchers to carry out further work in the same era.
Experimental Investigation and Parametric Studies of Surface Roughness Analy...IJMER
The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter. The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions
The injection molding process itself is a complex mix of time, temperature and pressure
variables with a multitude of manufacturing defects that can occur without the right combination of
processing parameters and design components. Determining optimal initial process parameter
settings critically influences productivity, quality, and costs of production in the plastic injection
molding (PIM) industry. Up to now, most production engineers have used trial-and-error method to
determine initial settings for a number of parameters, including melt temperature, injection pressure,
injection velocity, injection time, packing pressure, packing time, cooling temperature, and cooling
time which depend on the engineers’ experience and intuition to determine initial process parameter
settings. However, the trial-and-error process is costly and time consuming.
A Review on Various Approach for Process Parameter Optimization of Burnishing...ijsrd.com
The aim of this paper is review for different optimization methods used for process parameter optimization of roller burnishing process and Taguchi approach used for process parameter optimization for various processes. The quality of burnishing processed parts are highly depends upon various process parameters of burnishing process. Hence optimization of burnishing process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of burnishing process and application of Taguchi approach for design of experiments.
Experimental Investigation of Machining Parameters for Aluminum 6061 T6 Alloyijtsrd
In the present work, Turning Parameters were optimized using Taguchi Method. Also, the effect of turning parameters such as rotational speed, feed rate, depth of cut and material removal rate on surface roughness of Aluminum 6061 T6 alloy was investigated. L9 Taguchi’s method was used for designing the experiments and optimization of turning parameters. Nine experiments were conducted with four factors having three levels for each factor. Results revealed that spindle speed has a significant effect on surface roughness and it is the most dominating factor affecting the surface roughness with contribution of 52.38 . The optimal parameter combination of Aluminum 6061 T6 alloy bar for minimum surface roughness is found to be A2 B1 C2 D i.e., rotational spindle speed A at 900 rpm, feed rate B at 90 mm min and depth of cut C at 0.8 mm, and material removal rate D . Hardeep Singh | Ganga Singh | Dr. Dinesh Kumar "Experimental Investigation of Machining Parameters for Aluminum 6061-T6 Alloy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52611.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/52611/experimental-investigation-of-machining-parameters-for-aluminum-6061t6-alloy/hardeep-singh
Experimental Investigation and Parametric Studies of Surface Roughness Analys...IJMER
The modern machining industries are focused on achieving high quality, in terms of
part/component accuracy, surface finish, high production rate and increase in product life. Surface
roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter.
The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other
parameters such as cutting force and power consumption in different conditions.
ANALYSIS OF PROCESS PARAMETERS IN DRY MACHINING OF EN-31 STEEL by GREY RELATI...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth o f cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presents work of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
Process parameter optimization of SLM process and application of Taguchi appr...ijsrd.com
Selective Laser Melting (SLM) is an emerging powder based additive layer manufacturing technology that used to fabricate three-dimensional fully functional parts from metal powders by fusing the material in a layer by layer manner as per a CAD model. The quality of SLM produced parts is significantly affected by various manufacturing parameters of SLM machine. Hence optimization of SLM process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of SLM process and application of Taguchi approach. This review of work can be helpful to the other researchers to carry out further work in the same era.
Experimental Investigation and Parametric Studies of Surface Roughness Analy...IJMER
The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter. The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions
The injection molding process itself is a complex mix of time, temperature and pressure
variables with a multitude of manufacturing defects that can occur without the right combination of
processing parameters and design components. Determining optimal initial process parameter
settings critically influences productivity, quality, and costs of production in the plastic injection
molding (PIM) industry. Up to now, most production engineers have used trial-and-error method to
determine initial settings for a number of parameters, including melt temperature, injection pressure,
injection velocity, injection time, packing pressure, packing time, cooling temperature, and cooling
time which depend on the engineers’ experience and intuition to determine initial process parameter
settings. However, the trial-and-error process is costly and time consuming.
A Review on Various Approach for Process Parameter Optimization of Burnishing...ijsrd.com
The aim of this paper is review for different optimization methods used for process parameter optimization of roller burnishing process and Taguchi approach used for process parameter optimization for various processes. The quality of burnishing processed parts are highly depends upon various process parameters of burnishing process. Hence optimization of burnishing process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of burnishing process and application of Taguchi approach for design of experiments.
Experimental Investigation of Machining Parameters for Aluminum 6061 T6 Alloyijtsrd
In the present work, Turning Parameters were optimized using Taguchi Method. Also, the effect of turning parameters such as rotational speed, feed rate, depth of cut and material removal rate on surface roughness of Aluminum 6061 T6 alloy was investigated. L9 Taguchi’s method was used for designing the experiments and optimization of turning parameters. Nine experiments were conducted with four factors having three levels for each factor. Results revealed that spindle speed has a significant effect on surface roughness and it is the most dominating factor affecting the surface roughness with contribution of 52.38 . The optimal parameter combination of Aluminum 6061 T6 alloy bar for minimum surface roughness is found to be A2 B1 C2 D i.e., rotational spindle speed A at 900 rpm, feed rate B at 90 mm min and depth of cut C at 0.8 mm, and material removal rate D . Hardeep Singh | Ganga Singh | Dr. Dinesh Kumar "Experimental Investigation of Machining Parameters for Aluminum 6061-T6 Alloy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52611.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/52611/experimental-investigation-of-machining-parameters-for-aluminum-6061t6-alloy/hardeep-singh
Experimental Investigation and Parametric Studies of Surface Roughness Analys...IJMER
The modern machining industries are focused on achieving high quality, in terms of
part/component accuracy, surface finish, high production rate and increase in product life. Surface
roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter.
The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other
parameters such as cutting force and power consumption in different conditions.
ANALYSIS OF PROCESS PARAMETERS IN DRY MACHINING OF EN-31 STEEL by GREY RELATI...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth o f cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presents work of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
INVESTIGATION AND OPTIMIZATION OF TURNING PROCESS PARAMETER IN WET AND MQL SY...IAEME Publication
The big challenge of the mass production firms is concentrated for achieving high quality products with good dimensionability with high productivity, less wear on the cutting insert, less use
of cutting fluid, within less time. This paper present dissertation work of an investigation of turning process parameters on hard EN 31 material, for optimization of surface roughness, material removal rate, machining time in wet and minimum quantity lubrication system. The experiment is carried out by considering four controllable input variables namely cutting speed, feed rate, depth of cut and insert nose radius in the presence of wet & MQL system
Effect of process factors on surface roughness in dip cryogenic machining of ...eSAT Journals
Abstract A large number of structures that are being constructed at present tend to be wind-sensitive because of their slenderness, shapes, size, lightness and flexibility. With the ever increase in the vertical growth of urban cities, high rise buildings are being constructed in large numbers. In this study, analytical investigation of different shapes of buildings are taken as an example and various analytical approaches are performed on the building. These plans are modeled and wind loads are found out according to I.S 875(part 3)-1987 by taking gust factor and without taking gust factor. These models are compared in different aspects such as storey drift, storey displacement, storey shear, etc. for different shapes of buildings by using finite element software package ETAB’s 13.1.1v. Among these results, which shape of building provide sound wind loading to the structure as well as the structural efficiency would be selected. Key Words: Storey displacement, Storey drift, Storey shear, Gust, Wind load
OPTIMIZATION OF TURNING PROCESS PARAMETER IN DRY TURNING OF SAE52100 STEELIAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of SAE52100 steel. Carbide inserts were used for machining of SAE 52100 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) & material removal rate of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality
products with increased productivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Ijsrdv4 i70362 swati_kekade
1. IJSRD - International Journal for Scientific Research & Development| Vol. 4, Issue 07, 2016 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 618
Assessing Cutting Fluid as a Key Parameter in Evaluating Surface Finish
for CNC Turning Operation
Swati Arvind Kekade1 V.V. Potdar2 Prof. Swapnil S.Kulkarni3
1,2
Student 3
Associate Professor
1,2
Department of Manufacturing Process Engineering
1,2
A.G.P.I.T. Solapur University 3
Advent Tool Tech India Pvt. Ltd., Pune
Abstract— The tool work piece combination of the Raw
material HCHCr with cemented carbide and CBN tools shall
be explored in this work. The parameters – Speed, Feed and
Depth of cut to be maintained for HCHCr shall be
determined in terms of optional values or levels for each of
the tool type. Historic data shall be referred from the records
of the company to understand the effect of introducing
variation in the input to realize a given output as a
‘Response’ for surface finish. Statistical data analysis shall
be performed using ANOVA, DOE and Regression to
identify the given machining parameters for the operation.
Experimental run shall be conducted for validating the values
realized through this Analytical treatment of the data.
Surface roughness tester shall be employed for determining
the response. Recommendation to be offered at the
concluding phase of this work in terms of the ‘optional set of
values’ for the process parameters.
Key words: Turning, HCHCr, Cemented Carbide, CBN,
Surface roughness, process optimization
I. INTRODUCTION
The challenge of modern machining industries is mainly
focused on the achievement of high quality, in terms of
work piece dimensional accuracy, surface finish, and high
production rate, less wear on the cutting tools, economy of
machining in terms of cost saving and increase the
performance of the product with reduced environmental
impact. Surface roughness plays an important role in many
areas and is a factor of great importance in the evaluation of
machining accuracy. The Taguchi method is statistical tool,
adopted experimentally to investigate influence of surface
roughness by cutting parameters such as cutting speed, feed
and depth of cut. The Taguchi process helps to select or to
determine the optimum cutting conditions for turning
process. Many researchers developed many mathematical
models to optimize the cutting parameters to get lowest
surface roughness by turning process. The variation in the
material hardness, alloying elements present in the work
piece material and other factors affecting surface finish and
tool wear.
II. LITERATURE REVIEW
Wojciech Zębala*, Robert Kowalczyk, Andrzej Matras [1]
The investigation shows the result analysis of the recorded
total cutting force components (Ff, Fp, Fc) during turning of
WC-Co (25 % Co) with tools made of polycrystalline
diamond PCD. Turning tests of sintered carbides (WC Co
shaft with content of 25% Co) accomplished by the inserts
with three different nose radii, each cutting test had been
carried out on the distance 54 mm at the constant depth of
cut 0.2 mm. it was noticed, the largest growth is for the
passive force component Fp. In addition, the mathematical
models for cutting force value prediction as the cutting path
increases are presented. There is presentation of the
algorithm of optimization and control of the super hard
materials turning process.
S.Sivasankarana*, P.T.Harisagarb, E.Saminathanb,
S. Siddharthb, P.Sasikumarb [2] This investigation shows
the effect of process parameters on surface roughness of
glass fiber reinforced polymer (GFRP) composite pipes. On
the basis of high speed turning centre (CNC) with poly-
crystalline diamond (PCD) tool experiments had been
conducted. The cutting speed, feed, depth of cut, and work
piece type (E-Glass mat and E-Glass woven specimen) were
considered as process parameter. The pipes used in
experiment were fabricated using the filament winding
process. It consists of 70 percent epoxy polyester resin and
30 percent glass fiber. The E-Glass woven and E-Glass mat
fiber reinforced composite material had been compared. The
mechanical properties had also conducted as per ASTM
standards. Based on the results, it has been observed that
good machinability had obtained at lower cutting speed,
feed rate, depth of cut for mat fiber reinforced GFRP pipe.
B.Singarvela*,T.Selvarajb , R.Jeyapaulc[3] In this
experimental analysis Taguchi based utility concept is used
coupled with Principal Component Analysis (PCA) on
turning of EN25 steel with CVD and PVD coated carbide
tools to estimate the optimum machining parameters. For
obtaining the simultaneous minimization of surface
roughness, cutting force and maximization of material
removal rate this method has been employed. The multi SN
ratio is calculated by the product of weight factor and SN
ratio to the performance characteristics in the utility concept.
The weight factors involved for all objectives found by
adopting the Principal component analysis. Finally the
relative significance of machining parameter in terms of
their percentage contribution had found by applying
ANOVA concept on multi SN ration.
K. Wonggasema,*, T. Wagnerb, H. Trautmanna, D.
Biermannb, C. Weihsa[4] In this investigation there is a
demonstration of an optimization of the PCA-based DI
based on empirical models of hard turning of AISI 6150
steel in which uncertainties are propagated by model errors.
The obtained results are the degree of importance of each
performance measure has been adjusted by the integration of
the covariance information into the overall performance
index .
S.J. Raykara*, D.M. D'Addonab, A.M. Manea[5]
This paper the Grey Relational Analysis (GRA) is used for
investigation of High Speed Turning of Al 7075, a high
strength aluminium alloy used for aerospace applications.
GRA is also used for Multi-objective optimization of
surface roughness, power consumption, material removal
rate and cutting time which are some important parameters
to decide the capability and suitability of high speed turning.
By machining Al 7075 at high cutting speeds the
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investigation of performance of coated and uncoated carbide
cutting tool has been done. On the basis of GRA results
Suitable cutting parameters with appropriate cutting tool for
high speed turning of Al 7075 are suggested at the end.
R. Venkata Rao*, V.D. Kalyankar[6] This paper
focused on the primary objective in multi-pass turning
operations is to produce products with low cost and high
quality, with a lower number of cuts. Parameter
optimization is the very important process to achieve this
goal. It usually involves the optimal selection of cutting
speed, feed rate, depth of cut and number of passes.
Recently developed advanced optimization algorithm,
named, the teaching–learning-based optimization algorithm
had been used in this process, for parameter optimization of
a multi-pass turning operation. Two different examples
attempted previously by various researchers using different
optimization techniques, such as simulated annealing, the
genetic algorithm, the ant colony algorithm, and particle
swarm optimization, etc. had been considered here. The first
example is a multi-objective problem and the second
example is a single objective multi-constrained problem
with 20 constraints. The effectiveness of teaching–learning-
based optimization algorithm had been proved over other
algorithms.
P. Jayaramana*, L. Mahesh kumarb[7] A novel
approach was presented for the optimization of machining
parameters on turning of AA 6063 T6 aluminium alloy with
multiple responses based on orthogonal array with grey
relational analysis. Experiments were conducted on AA
6063 T6 aluminium alloy. Turning tests were carried out
using uncoated carbide insert under dry cutting condition.
Optimization of turning parameters such as cutting speed,
feed rate and depth of cut has been done considering the
multiple responses such as surface roughness (Ra),
roundness (Ø) and material removal rate (MRR). The grey
analysis was used to determine grey relational grade (GRG).
Based on the values of grey relational grade optimum levels
of parameters had identified and then by ANOVA the
significant contribution of parameters was determined.
Confirmation test was performed to validate the test result.
Experimental outcomes had proved that the responses in
turning process can be enhanced efficiently through this
fresh approach.
Yansong Guoa, Jef Loendersb, Joost Dufloua, Bert
Lauwersa, *[8] In this paper, an approach which
incorporates both energy consumption and surface
roughness was presented for optimizing the cutting
parameters in finish turning. Based on a new energy model
and a surface roughness model, derived for a given machine
tool, cutting parameters were optimized to accomplish a
precise surface finish with minimum energy consumption.
Deepak Da*Rajendra Bb[9] This paper focused on
the optimization of the process parameter such as cutting
speed, depth of cut and feed rate on surface roughness
produced on the machined component. Analysis was carried
out using Taguchi robust design principles. From the
analysis, feed rate was found to be the most influential
process parameters which influence the surface roughness
followed by cutting speed and depth of cut. Increase in feed
rate and depth of cut was found to increase the surface
roughness.
M. Durairaja,*, S. Gowri[10] This paper deals with
CNC Micro turning of Inconel 600 alloy with titanium
carbide coated tool. Machining has been done in DT-110
integrated multiprocessor micro machine tool. Micro turning
was carried out with full factorial experiments with various
combinations of cutting parameters such as speed (25,31,
and 37 m/min), feed (5,10, and 15 μm/rev) and depth of cut
(30,50 and 70 μm). For every set of experiments, the output
parameters such as the tool wear and the surface roughness
were measured. Non-linear regression model was used to
represent relationship between input and output variables
and a multi-objective optimization method based genetic
algorithm was used to optimize the cutting parameters in
turning process such as cutting speed, feed and depth of cut.
Two conflicting objectives such as tool wear and surface
roughness were simultaneously optimized.
III. PROBLEM STATEMENT
The CNC turning involves holding the work piece firmly in
the self centering chuck and rotating the work piece against
a sharp tool tip to effect material removal through chip
formation. This machining process is widely used in the
industry for achieving high material removal rate (MRR)
and a smooth finish over the part produced (Ra value). The
popular material used in the industry dealing with Die,
Molds and Fixtures uses HCHCr for parts that require high
hardness combined with good toughness to absorb shocks.
The concerned company supporting this work deals
in the tooling domain and uses the said material – HCHCr
for producing pins, shafts and other components with radial
symmetry. The process at the production shop floor arms at
high rate of production (higher MMR) with dimensional
accuracy and a good surface finish. For initiation the historic
data collected in the past for a given set of process
parameters yielding a certain output in terms of Ra value is
available with the company. This data could be referred for
analysis while additional experiments could be performed
towards the concluding phase of validation.
The process parameters - Namely, speed, feed and
the Depth of cut and the type of coolant for the operation are
identified as the prime parameters influencing the ‘MRR’
and the `Ra value’. Any variation over the values for these
parameters shall directly results in alteration over the output
realized i.e. the ‘Response’ would change based on the
degree of change in the input.
Research work needs to be undertaken to find the
optimum values for each parameter that would render a
desired Ra value for a satisfactory MRR. The tool to be used
for the experiment shall be CBN. The choice of alternative
coolant fluid shall be evaluated by administering three
values of suitable coolants.
Optional values for each type of coolant shall be
determined through this work.
IV. SCOPE
The scope of the work shall be limited to collection of input
data for the influencing process parameters – namely,
Speed, Feed and Depth of cut, performing statistical analysis
for the data, validating the results through experimentation
and recommending the best set of values that optimizes the
conflicting requirements of a higher MRR and a good
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surface finish. The work shall be purchased as per the
concerned company supporting this research work.
V. OBJECTIVES
Conduct literature survey for documenting the findings
of the various authors working on this problem area.
Determine the process parameters through this
literature review and the inputs offered by the
supporting company.
Design the experiment and collect the experimental
data for the responses chosen.
Conduct analysis in the statistical domain to determine
the optimum values.
Perform physical experiment for validating the results
determined.
Offer recommendation with the optional value set for
the process parameters.
VI. METHODOLOGY
Analytical approach – This methodology is developed by
collecting the requisite input data from past records or
through experiments. The data is later subjected to treatment
using statistical tools like Normality plots, one-way
ANOVA, Taguchi methods or any suitable technique for
DOE and optimization. Regression equation could be
secured for estimating the anticipated results while making a
change over the input value. The trade-off for the response
can be accessed through the Analytical methodology for
finding solution.
VII. FLOW CHART FOR METHODOLOGY
Fig. 1: Flowchart for methodology
A. Physical Experimentation
The methodology is widely accepted and trusted for the
results it offers.
Typically, it is deployed as an alternative
methodology for validation of the results obtained using the
other methodologies. In our case, besides using it for
validation, it shall also offer values for responses for a given
of levels for the parameters. These responses are crucial for
being able to the analysis of the data.
B. Validation
The physical experimentation performed for the optimal
values shall offer validation for the results obtained using
statistical methods. The anticipated variation in the results
determined by individual methodologies could be the tuneof
10 to 15% by virtue of inherent variations in the
experimental setup or the ambient conditions during
machining. The results could be shared with the supporting
company upon conducting the experimental run towards
validation.
VIII. CONCLUSION (FOR STAGE 1)
The work undertakes to study the effect coolant over the
processing parameters. This type of study is unique as has
been investigated over the literature review. The coolants
are proposed upon studying the suitability of the same for
the given environment of machining. The work is expected
to bring forth optimal values based on the selection of the
coolant.
REFERENCES
[1] Wojciech Zębala*, Robert Kowalczyk, Andrzej Matras,
‘‘Analysis and Optimization of Sintered Carbides
Turning with PCD Tools”; 25th DAAAM International
Symposium on Intelligent Manufacturing and
Automation, DAAAM 2014: 283-290.
[2] [2] S.Sivasankarana*, P.T.Harisagarb, E.Saminathanb,
S. Siddharthb, P.Sasikumarb, ‘‘Effect of process
parameters in surface roughness during turning of
GFRP pipes using PCD insert tool”; 12th GLOBAL
CONGRESS ON MANUFACTURING AND
MANAGEMENT, GCMM 2014: 64-71.
[3] B.Singarvela*,T.Selvarajb , R.Jeyapaulc, ‘‘Multi
Objective Optimization in Turning of EN25 Steel Using
Taguchi Based Utility Concept Coupled With Principal
Component Analysis”; 12th GLOBAL CONGRESS
ON MANUFACTURING AND MANAGEMENT,
GCMM 2014: 158-165.
[4] K. Wonggasema,*, T. Wagnerb, H. Trautmanna, D.
Biermannb, C. Weihsa, ‘‘Multi-objective optimization
of hard turning of AISI 6150 using PCA-based
desirability index for correlated objectives”; 8th CIRP
Conference on Intelligent Computation in
Manufacturing Engineering:13-18.
[5] S.J. Raykara*, D.M. D'Addonab, A.M. Manea, ‘‘Multi-
objective optimization of high speed turning of Al 7075
using grey relational analysis”; 9th CIRP Conference on
Intelligent Computation in Manufacturing Engineering:
293-298.
[6] R. Venkata Rao*, V.D. Kalyankar, ‘‘Multi-pass turning
process parameter optimization using teaching–
learning-based optimization algorithm”; Department of
Mechanical Engineering, S.V. National Institute of
Technology, Surat-395007, India Received 10 May
2012; revised 30 August 2012; accepted 27 October
2012: 967-974.
[7] P. Jayaramana*, L. Mahesh kumarb, ‘‘Multi-response
Optimization of Machining Parameters of Turning
AA6063 T6 Aluminium Alloy using Grey Relational
Analysis in Taguchi Method”;12th GLOBAL
4. Assessing Cutting Fluid as a Key Parameter in Evaluating Surface Finish for CNC Turning Operation
(IJSRD/Vol. 4/Issue 07/2016/148)
All rights reserved by www.ijsrd.com 621
CONGRESS ON MANUFACTURING AND
MANAGEMENT, GCMM 2014: 197-204.
[8] Yansong Guoa, Jef Loendersb, Joost Dufloua, Bert
Lauwersa, *, ‘‘Optimization of energy consumption and
surface quality in finish turning”; 5th CIRP Conference
on High Performance Cutting 2012: 512-517.
[9] Deepak Da*Rajendra Bb, “Optimization of Machining
Parameters for Turning of Al6061 using Robust Design
Principle to minimize the surface roughness”;
International Conference on Emerging Trends in
Engineering, Science and Technology (ICETEST-
2015): 372-378.
[10]M. Durairaja,*, S. Gowri, “ Parametric Optimization for
Improved Tool Life and Surface Finish in Micro
Turning using Genetic Algorithm”; International
Conference On DESIGN AND MANUFACTURING,
IConDM 2013: 878-887.