Ahmed Body Benchmark. 🚗 Ready to dive into car aerodynamics? Check out the Ahmed Body Benchmark! 🌬️ It's like the ultimate CFD test drive for external aerodynamics.

The Ahmed body is like a simplified car model, but it's got all the cool air flow stuff that real cars do! 🏎️💨 We're talking Drag Coefficient, Velocity Profiles, Velocity Field, and even the Wake structure. We're putting our TCFD simulation results to the test in the wind tunnel, comparing them with real experimental measurements. 🌪️✅

Full Case Study (download available):

https://www.cfdsupport.com/ahmed-body-tcfd-benchmark.html

PDF study:

https://www.cfdsupport.com/download/TCFD-CFDSUPPORT-Ahmed-Body-External-Aerodynamics-Benchmark.pdf

#CFD #Aerodynamics #FluidDynamics #AhmedBody

Ahmed Body Benchmark. 🚗 Ready to dive into car aerodynamics? Check out the Ahmed Body Benchmark! 🌬️ It's like the ultimate CFD test drive for external aerodynamics.

The Ahmed body is like a simplified car model, but it's got all the cool air flow stuff that real cars do! 🏎️💨 We're talking Drag Coefficient, Velocity Profiles, Velocity Field, and even the Wake structure. We're putting our TCFD simulation results to the test in the wind tunnel, comparing them with real experimental measurements. 🌪️✅

Full Case Study (download available):

https://www.cfdsupport.com/ahmed-body-tcfd-benchmark.html

PDF study:

https://www.cfdsupport.com/download/TCFD-CFDSUPPORT-Ahmed-Body-External-Aerodynamics-Benchmark.pdf

#CFD #Aerodynamics #FluidDynamics #AhmedBody

Hello everyone,
I'm having a problem with a value (Cp: specific heat) that I want to set as default in all my TCAE projects. For that I modified the file TCAE-23.03v1/TCAE/etc/CAEProcessorDefaults.tcae by adding
Cp "1800_J/(kg.K)"
When I create a new TCAE project, the value of Cp is well defined at 1800 J/kg/K. However, it seems that when through the GUI I set the value to 0

and that I save, restore then check, no error is reported and I can run the simulation without any problem. That's when I looked at the TCAEproject/setup file and I was surprised to see that the heat capacity value was changed to
Cp "1004_J/(kg.K)"
This value corresponds to the air, originally set by default in the CAEProcessorDefaults.tcae configuration file.

So why my value that I set to 1800 J/kg/K was not returned ?

CFDSUPPORT decided to publicly and freely share their OpenFOAM training materials. 

The OpenFOAM training materials provided by CFDSUPPORT are an invaluable resource for anyone interested in learning OpenFOAM. With nearly 500 pages of comprehensive training material, the guide offers a step-by-step learning process that is tailored to suit the needs of both beginners and advanced users.

The guide covers a wide range of topics, including the basic principles of fluid dynamics, meshing, case setup, solver selection, post-processing, and more. The material is presented in a clear and concise manner, making it easy to understand even for those with little or no prior knowledge of CFD or OpenFOAM.

The training materials are accompanied by numerous examples and exercises that help reinforce the concepts covered in the guide. This hands-on approach is particularly useful in helping users develop the skills necessary to work with OpenFOAM effectively.

Moreover, the guide is available for free, making it accessible to anyone who is interested in learning OpenFOAM, regardless of their financial resources. This is a testament to the commitment of CFDSUPPORT to promoting education and innovation in the field of CFD.

Overall, the OpenFOAM training materials provided by CFDSUPPORT are a great resource for anyone looking to learn OpenFOAM, and I would highly recommend them to anyone who is interested in pursuing a career in CFD.

The download link is below in the comment section.       Please register to access it.

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An exhaust manifold is an important part of every combustion engine that collects the exhaust gases from multiple cylinders into one pipe. The gas flow in the manifold can be extensively analyzed and optimized by CFD analysis. Have a look at an example of an aerodynamic analysis of exhaust manifold simulation by TCFD. https://youtu.be/EIn2oUIX6VM

Description

We are currently looking for a mid-level Digital Analyst who has experience in tracking and analyzing implementations for digital campaigns, websites and apps.

You’ll use your data analysis skills and digital marketing experience to help customers to increase their performance.

As a Digital Analyst you will:

• Develop ongoing digital analytics and measurement strategies to achieve client’s goals;
• Gather analytics requirements, oversee analytics implementations, and manage quality assurance testing to verify accurate tracking;
• Develop analysis and dashboards using tools like Google Analytics and Google DataStudio. You are not required to create basic reports, but you have to communicate data-driven recommendations to improve customers business.

Requirements

• 3+ years of experience in a data, measurement or analytical role;
• Produce analytics audit reports for corrective or advanced GA tracking and data collection architectures
• Expertise in implementing or customizing Google Analytics (Universal and GA4), Google Tag Manager or Adobe Analytics;
• Expertise in manipulating and analyzing data in Spreadsheets or SQL or Python;
• Strong communication skills with ability to translate complex data into a compelling story. It’s essential that you can communicate with people of varying skill and knowledge levels, including presenting to clients.
• Strong attention to detail and quality. We are looking for someone who instinctively double checks his work before handing it off;
• Ability to collaborate effectively with remote teams across multiple, simultaneous projects.
• Educate clients about the importance of online measurement and provide best practice guidance for technical aspects of analytics
• Fluent in English and Italian, third language appreciated

Preferred Skills and Experience:

• Agency / consulting experience (bonus points for E-commerce experience);
• Experience designing and evaluating conversion rate optimization (CRO) strategies;
• Experience using CRMs or databases like Salesforce to gather and analyze marketing data;
• Knowledge of data visualization tools like Google DataStudio or Tableau;
• Basic to Intermediate JavaScript skills;
• Real passion for helping clients solve complex business and marketing questions

Statisticians practice the science of using data to make decisions. They decide what data they need and how to collect it, design experiments, collect data, analyze and interpret data, and report conclusions. And unlike most professions, statistics can be applied to a vast number of fields or issues, like the environment, public safety, health care and sports. As the famous mathematician and statistician John Tukey once told a colleague, "The best thing about being a statistician is that you get to play in everyone's backyard."

Devan Mehrotra, executive director of the biostatistics department at Merck Research Laboratories, says, "I absolutely fell in love with statistics. Any real-world problem almost always is going to require some data to be analyzed and interpreted, generating value-added solutions by using statistics."

Mathematics is an integral part of data science. Any practicing data scientist or person interested in building a career in data science will need to have a strong background in specific mathematical fields. Depending on your career choice as a data scientist, you will need at least a B.A., M.A., or Ph.D. degree to qualify for hire at most organizations. A significant portion of your ability to translate your data science skills into real-world scenarios depends on your success and understanding of mathematics. Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it’s often one of the most important. Identifying and understanding business challenges and translating them into mathematical ones is widely considered one of the most important steps in a data scientist’s workflow. Will you be a data scientist, machine learning engineer, business intelligence developer, data architect, or another industry specialist? Maybe you don’t yet know the exact path you will take in your data science career. But take a look at the various types of mathematical requirements and what they are used for in data science. You will have a better understanding of your skills and interests and can ultimately better pursue your choice of mathematical education. Let’s start by taking a look at the different types of math used in data science so that you have a better idea of what you really need to know when it comes to mathematics and your data science career.