Computational fluid dynamics (CFD) uses numerical methods to solve equations governing fluid flow. CFD analysis complements testing by reducing experimental effort. CFD modeling involves preprocessing like meshing the domain, setting up physical models and boundary conditions, solving the governing equations, and postprocessing results like visualizing flow patterns. FLUENT is a commercial CFD software that uses the finite volume method to discretize and solve transport equations for various flow properties.
The presentation gives glances of the importance of CFD analysis in engineering design with an illustration/ case study. For more details, follow the webinar "Role of CFD in Engineering Design" on https://www.learncax.com/knowledge-base/blog/by-author/ganesh-visavale
The presentation gives glances of the importance of CFD analysis in engineering design with an illustration/ case study. For more details, follow the webinar "Role of CFD in Engineering Design" on https://www.learncax.com/knowledge-base/blog/by-author/ganesh-visavale
The lecture was delivered by me for IIChE students chapter on the theme of Student-Industry Interaction at Bharati Vidyapeeth on 8th Feb'14. Foe my blogs kindly refer: https://www.learncax.com/knowledge-base/blog/by-author/ganesh-visavale
The Powerpoint presentation discusses about the Introduction to CFD and its Applications in various fields as an Introductory topic for Mechanical Engg. Students in General.
The Return on Investment of Computational Fluid DynamicsAnsys
Measuring the ROI of Fast and Reliable Computational
Fluid Dynamics (CFD) is not always straightforward. In this presentation, we are demonstrating the positive ROI of CFD using different point of views.
(1) Advantages and cost-savings of using CFD simulation both early and often during the development.
(2) Avoiding costly downtime or product failures.
(3) The ROI of CFD simulation to optimize product performance.
(4) The cost of choosing the wrong simulation tool.
(5) Some tips for you to answer the questions: “Would I benefit from using fast and reliable CFD?”.
For more information on ANSYS Fluid Dynamics Software ROI, you can read the white paper http://bit.ly/ROICFD
Combustion and chemical reactions are all around us! Combustion modeling has become crucial to design clean powerplants, low emissions engines, etc. Join the ANSYS experts to learn about combustion simulation. Full webinar and Q&A available at: http://bit.ly/1vQIDk6
The lecture was delivered by me for IIChE students chapter on the theme of Student-Industry Interaction at Bharati Vidyapeeth on 8th Feb'14. Foe my blogs kindly refer: https://www.learncax.com/knowledge-base/blog/by-author/ganesh-visavale
The Powerpoint presentation discusses about the Introduction to CFD and its Applications in various fields as an Introductory topic for Mechanical Engg. Students in General.
The Return on Investment of Computational Fluid DynamicsAnsys
Measuring the ROI of Fast and Reliable Computational
Fluid Dynamics (CFD) is not always straightforward. In this presentation, we are demonstrating the positive ROI of CFD using different point of views.
(1) Advantages and cost-savings of using CFD simulation both early and often during the development.
(2) Avoiding costly downtime or product failures.
(3) The ROI of CFD simulation to optimize product performance.
(4) The cost of choosing the wrong simulation tool.
(5) Some tips for you to answer the questions: “Would I benefit from using fast and reliable CFD?”.
For more information on ANSYS Fluid Dynamics Software ROI, you can read the white paper http://bit.ly/ROICFD
Combustion and chemical reactions are all around us! Combustion modeling has become crucial to design clean powerplants, low emissions engines, etc. Join the ANSYS experts to learn about combustion simulation. Full webinar and Q&A available at: http://bit.ly/1vQIDk6
CFD Best Practices and Troubleshooting - with speaker notesHashan Mendis
CFD Best Practices and Troubleshooting for FSAE - with speaker notes.
Let me know if you need me to clarify anything, due to work commitments my reply may be slow, email: hashan.mendis@leapaust.com.au
Effect of spikes integrated to airfoil at supersonic speedeSAT Journals
Abstract
The objective of this is to analyse the flow field over an aerofoil section integrated with spikes at supersonic speed (Mach number
greater than 1). Use of spike integrated with aerofoil changes the flow characteristics over aerofoil and hence aerodynamic lift
and drag. The experiment consists of flow visualization graphs and measurement of coefficient of aerodynamic drag and lift.
Here we are using different shapes of spike like sharp edge and hemi spherical edge. In this we will compare the flow over
aerofoil with spike and without spike. The flow analysis is done by using Computational fluid dynamics (CFD). CFD is the study
of external flow over a body or internal flow through the body. CFD is aiding aero-dynamist to better understand the flow physics
and in turn to design efficient models. In short, CFD is playing a strong role as a design tool as well as a research tool.
Keywords: NACA 651-412 airfoil, spike, Ansys Fluent, Ansys ICEM CFD, Pressure Coefficient
Artificial Intelligence on Data Centric PlatformStratio
Digital Transformation starts with data. What if a solution existed that put data at the center, in a single place, serving all applications around it? This training will include a demonstration in a distributed data-centric platform which provides a data intelligence layer, composed of artificial intelligence models able to make use of a whole company’s data.
Nowadays, one of the most innovative techniques in the realm of artificial intelligence is Deep Neural Nets. Among the many applications, language modelling, machine translation and image generation are receiving particular attention. Deep nets are also powerful in predictive modelling ambits such as stock pricing and the energy industry. We will address a few case studies modeled with TensorFlow, running on Stratio’s data-centric product in a distributed cluster.
By: Fernando Velasco
Virtual Human Brain Simulations with Abaqus in the CloudThe UberCloud
UberCloud, Dassault Systèmes Simulia and Advania Data Centers presentation about the award winning project: HPC Cloud Simulation of Neuromodulation in Schizophrenia. Learn how simulation and high performance computing in the cloud play a key role in accelerating personalized healthcare.
The Brain Neuromodulation project represents a breakthrough in demonstrating the high value of computational modeling and simulation in improving the clinical application of non-invasive electro-stimulation of the human brain in schizophrenia and the potential to apply this technology to the treatment of other neuropsychiatric disorders such as depression and Parkinson’s disease. With the addition of HPC, clinicians can now precisely and non-invasively target regions of the brain without disrupting nearby healthy brain regions.
2018 Hyperion HPC Innovation Excellence Award: UberCloud, the National Institute of Mental Health & Neuro Sciences (NIMHANS) in Bangalore, Dassault Systèmes Simulia, Advania Data Centers, Hewlett Packard Enterprise and Intel won the 2018 Hyperion HPC Innovation Excellence Award for their Neuromodulation Project, based on computer simulations of non-invasive transcranial electro-stimulation of the human brain in schizophrenia.
Computational Estimation of Flow through the C-D Supersonic Nozzle and Impuls...IJMTST Journal
In this paper, CFD analysis of flow within, Convergent – Divergent rectangular super sonic nozzle and super sonic impulse turbine with partial admission have been performed. The analysis has been performed according to shape of a super sonic nozzle and length of axial clearance and the objective is to investigate the effect of nozzle-rotor interaction on turbine’s performance. It is found that nozzle-rotor interaction losses are largely dependent on axial clearance, which affects the flow within nozzle and the extent of flow expansion. Therefore selecting appropriate length of axial clearance can decrease nozzle-rotor interaction losses. The work is carried in two stages:1) Modeling and analysis of flow for rectangular convergent divergent super sonic nozzle. 2) Prediction of optimal axial gap between the nozzle and rotor blades by allowing the above nozzle flow. In the present work, using a finite volume commercial code, ANSYS FLUENT 14.5, carries out flow through the convergent divergent nozzle study. The nozzle geometry is modeled and grid is generated using ANSYS14.5 Software. Computational results are in good agreement with the experimental ones.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
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.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.