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FEATURED POST
Sandip Jadhav|Wednesday, September 27, 2017
simulationHub now graduates to a full commercial release with three new, easy to use simulation apps specially crafted for designers. For us, designers are the focal point for our apps. In democratization of CFD, we believe the first step is to make it available to every design engineer.
Friday, November 23, 2018
If you have ever searched on google, ordered food online, browsed an item online, used a messaging app or composed an email, each and every time you came across a machine learning algorithm. A lot of people are interested in learning how to apply machine learning to solve some of their own problems. CCTech has expertise in CAD and Computational Geometry, and we keep experimenting with machine learning to solve problems in geometry. In this blog, we will demonstrate how to apply machine learning to solve a simple geometrical problem of 2D conic shape recognition. Readers will be able to understand various aspects of machine learning and also learn some useful tools. We hope this would serve as a nice tutorial for those who want to build machine learning applications of their own.
Tuesday, May 22, 2018
Machine learning (ML) techniques are now widely being used in almost all areas of application. Six months back, CCTech Research started investigating how we may use ML in the area of Design of Mechanical Systems. One of the key application we were particularly interested is in Control Valve industry. simulationHub's Control Valve Performer app is already calculating valve performance within minutes compared to weeks in traditional CFD way. But one still yearns for a solution that could predict the flow performance in less than 5 seconds. The machine learning app developed by CCTech research team is now able to predict the value performance within seconds. Read more about the app, what went into creating the app and the app workflow.