Recognize numerous types of heat exchangers, and classify them.
Develop an awareness of fouling on surfaces, and determine the overall heat transfer coefficient for a heat exchanger.
Perform a general energy analysis on heat exchangers.
Obtain a relation for the logarithmic mean temperature difference for use in the LMTD method, and modify it for different types of heat exchangers using the correction factor.
Develop relations for effectiveness, and analyze heat exchangers when outlet temperatures are not known using the effectiveness-NTU method.
Know the primary considerations in the selection of heat exchangers.
Summary of lmtd and e ntu. The Log Mean Temperature Difference Method (LMTD) The Logarithmic Mean Temperature Difference(LMTD) is valid only for heat exchanger with one shell pass and one tube pass. For multiple number of shell and tube passes the flow pattern in a heat exchanger is neither purely co-current nor purely counter-current. The temperature difference between the hot and cold fluids varies along the heat exchanger. It is convenient to have a mean temperature difference Tm for use in the relation. s mQ UA T
3. The mean temperature difference in a heat transfer process depends on the direction of fluid flows involved in the process. The primary and secondary fluid in an heat exchanger process may flow in the same direction - parallel flow or cocurrent flow in the opposite direction - countercurrent flow or perpendicular to each other - cross flow
Recognize numerous types of heat exchangers, and classify them.
Develop an awareness of fouling on surfaces, and determine the overall heat transfer coefficient for a heat exchanger.
Perform a general energy analysis on heat exchangers.
Obtain a relation for the logarithmic mean temperature difference for use in the LMTD method, and modify it for different types of heat exchangers using the correction factor.
Develop relations for effectiveness, and analyze heat exchangers when outlet temperatures are not known using the effectiveness-NTU method.
Know the primary considerations in the selection of heat exchangers.
Summary of lmtd and e ntu. The Log Mean Temperature Difference Method (LMTD) The Logarithmic Mean Temperature Difference(LMTD) is valid only for heat exchanger with one shell pass and one tube pass. For multiple number of shell and tube passes the flow pattern in a heat exchanger is neither purely co-current nor purely counter-current. The temperature difference between the hot and cold fluids varies along the heat exchanger. It is convenient to have a mean temperature difference Tm for use in the relation. s mQ UA T
3. The mean temperature difference in a heat transfer process depends on the direction of fluid flows involved in the process. The primary and secondary fluid in an heat exchanger process may flow in the same direction - parallel flow or cocurrent flow in the opposite direction - countercurrent flow or perpendicular to each other - cross flow
this ppt is made with the reference of heat exchangers that have been used in NHFI, it almost covers their every aspect that is their working, maintenance, and safety !!
so please suit yourself!!!
this ppt is made with the reference of heat exchangers that have been used in NHFI, it almost covers their every aspect that is their working, maintenance, and safety !!
so please suit yourself!!!
THERMAL ANALYSIS OF HEAT EXCHANGER WITH THE HELP OF TAGUCHI METHODIAEME Publication
Engineering are continually being asked to improve processes and increase efficiency. These request may arise as a result of the need to increase process throughout, increase profitability, or accommodate capital limitations. Processes which use heat transfer equipment must frequently be improved for these reason. This paper provide the application of Taguchi method in heat exchanger performance
Experimental Investigation of a Helical Coil Heat Exchangerinventy
Helical coil heat exchangers are one of the most common equipment found in many industrial applications. Helical coil heat exchanger is one of the devices which are used for the recovery system. The helical coil heat exchangers can be made in the form of a shell and tube heat exchangers and can be used for industrial applications such as power generation, nuclear industry, process plants, heat recovery systems, refrigeration, food industry etc. In our work we had designed, fabricated and experimentally analysed a helical coil heat exchanger and a straight tube heat exchanger. From the observations and calculations, the results of the helical coil heat exchanger and straight tube heat exchanger are obtained and are compared. From our obtained results, the helical coil heat exchanger showed increase in the heat transfer rate, effectiveness and overall heat transfer coefficient over the straight tube heat exchanger on all mass flow rates and operating conditions. The centrifugal force due to the curvature of the tube results in the secondary flow development which enhances the heat transfer rate. Comparative study shows that helical coil heat exchanger is having better performance that straight tube heat exchanger.
Numerical Simulation of Hot Air Drying Kiln Velocity Field Based on Computati...IJRES Journal
In this paper, the energy-efficient hot air drying kiln adopts innovative -designed guide air cover to control the speed of airflow velocity and the direction of the air flow in the fan outlet, so that the horizontal airflow in the fan outlet forms a smooth jets transferred to the vertical wind tunnel smoothly, and using computational fluid dynamics (CFD) software SCT/tetra to complete numerical simulation and analysis of air drying kiln flow velocity field , and compares in detail the before and after optimization design in different spatial positions of the velocity distribution in the cross section of drying kiln. The simulation results show that: After the adoption of new technology optimization, the drying kiln improves the uniformity of air flow field distribution, advances the drying efficiency and wood drying quality, also reduces the energy consumption, and lays the foundation of energy-efficient hot air drying kiln applications.
We will go through how to analyze a design with Simulation CFD from beginning to end. We will start at the Inventor model and end at visualizing the results. In addition to seeing the actual workflow we will talk about how simulation tools can be used throughout the life of a design project, from early concept to final testing.
DESIGN AND FABRICATION OF HELICAL TUBE IN COIL TYPE HEAT EXCHANGERhemantnehete
Heat exchangers are the important engineering systems with wide variety of applications including power plants, nuclear reactors, refrigeration and air-conditioning systems, heat recovery systems, chemical processing and food industries. Helical coil configuration is very effective for heat exchangers and chemical reactors because they can accommodate a large heat transfer area in a small space, with high heat transfer coefficients. This project focus on an increase in the effectiveness of a heat exchanger and analysis of various parameters that affect the effectiveness of a heat exchanger and also deals with the performance analysis of heat exchanger by varying various parameters like number of coils, flow rate and temperature. The results of the helical tube heat exchanger are compared with the straight tube heat exchanger in both parallel and counter flow by varying parameters like temperature, flow rate of cold water and number of turns of helical coil.
ESTIMATION AND ANALYSIS OF CYCLE EFFICIENCY FOR SHELL AND TUBE HEAT EXCHANGER...IAEME Publication
Shell and tube Heat exchanger (STHE) is one of the most common and widely used energy transporter suited for domestic usages as well as industrial applications. In this paper, we consider shell and tube heat exchanger as a device with known input and output parameters. This work utilizes imperative design constraints like tube configuration, fluids, surface and temperature (constant magnitude) as input parameters and energetic cycle efficiency considered as desired output parameter depicting performance of the device. The model was trained and tested by proposed Genetic algorithm (GA) technique. This entire computational procedure is implemented in MATLAB platform.
This design project aims to propose a plate type heat exchanger that can meet given heat duty and find the number of plates required. Plate type heat exchanger uses metal plates to transfer heat between two fluids. Starting point of this design is to define given properties
Seminar Presentation file for "Autodesk CFD for better building design" by Mr. ZHU ge.
Event Details
Seminar: Autodesk CFD for Better Building Design
Co-organized by: Autodesk / HKIBIM / IVE BIM Centre
With your BIM model, Autodesk® Simulation CFD software can provides computational fluid dynamics and thermal simulation analysis to help you create better interior and exterior design. A range of CFD modeling and thermal modeling tools are included for architectural and mechanical, electrical, and plumbing (MEP) applications. Model radiant heat transfer and occupant comfort; better predict contaminant dispersion and smoke migration in and around buildings. Study the long-term effects of diurnal heating. The Design Study Environment allows you to automate the creation of design studies, compare critical values, and predict design performance, optimize designs, and validate behavior before construction.
For more information about Autodesk® CFD: http://www.autodesk.com/products/cfd/overview
Seminar details:
Date & Time: 9-Sep-2015; 7:00pm – 8:30pm
Speaker: Ge Zhu, Technical Sales Specialist, Autodesk
He is major in Engineering Thermophysics, Master of Huazhong University of Science and Technology. He has 7 years for electrical thermal and datacenter CFD simulation experience.
Location: Lecture Theater LT-01, G/F, IVE (Morrison Hill), 6 Oi Kwan Road, Hong Kong
Agenda:
1. Why Simulation
2. Auotdesk CFD Features
3. Key Application Areas of Autodesk CFD
For any enquiry, please contact Mr. Waiky Leung at waiky.leung@autodesk.com
How CFD can help gain the most efficient data centre designsmattkeysource
Using the most powerful 3-D software available; computational fluid dynamics models the airflow within your data centre. It provides a graphic analysis of how hot and cool air flows, and Keysource use this tool as it is essential to gain the most efficient data centre designs.
This ppt consists of an easy way to represent the basic idea of transducer, its types, constructional details, applications, advantages & disadvantages.
Derive the relationship between the effectiveness and the number of transfer ...AmitKVerma3
1. what is the difference between heat transfer and Thermodynamics?
2. Derive the relationship between the effectiveness and the number of transfer units
for a counter flow heat exchanger.
3.Explain the following : Capacity ratio, Heat exchanger effectiveness, Number of
transfer units
The Number of transfer units (NTU) method
is used to calculate the rate of heat transfer
in heat exchangers when there is insufficient
information to calculate the Log-mean
temperature difference (LMTD).
its gives knowledge about work study ...
its understanding about the method study and work measurement....
it s very important and useful for industrial engineering...
it is understanding about the undamped free vibration and its equation and function.........its very usefull for vibration system.......
its gives derivation of undamped free vibration.....
this is my presentation of hydraulic and water resources engineering. I have discussed in this ppt about network density for given rain gauge and calculations and index of witness.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. LOGARITHMIC MEAN TEMPERATURE
DIFFERENCE(LMTD)
• Defination:Logarithmic mean temperature
difference is define as that temperature
difference which,if constant,would give the
same rate of heat transfer as actually occur
under variable condition of temperature
difference.
• With help of LMTD ,the value of temperature
at any length of heat exchanger or vice versa
is easily available.