Artificial Intelligence (AI) is used to create a generative design based software that can help us design multi-objective optimized valves. The software uses AI to instantly generate a valve design for a desired flow performance requirement.
We are living in a world where Machine Learning has become and becoming root in various fields. A lot of people are interested in learning how to apply machine learning to solve their problems. CCTech has been working in Machine Learning from the last couple of years with our focus on how we can use Machine Learning in Valve Design. We have successfully implemented Machine Learning in Valve designing by using experimental or numerical data generated from simulationHub's Valve CFD application. We would like to share how we have developed valve design app for common control valves and Butterfly Valve using our Machine Learning expertise. We are delighted to demonstrate how we can provide you with the best design for required flow performance using generative design.
Research and Development Manager, CCTech
Subhransu leads the research and development team at CCTech. Subhransu holds a Bachelor's degree in Mechanical Engineering. He is working with CCTech for more than 6 years. Starting the career as a CFD analysis engineer, Subhransu has progressed into various areas like CFD software development, Cloud application development, and Machine Learning. While leading the R&D team, Subhransu now focuses on implementing AI solutions into the manufacturing industry.