Forge enables companies to leverage design and engineering data to develop custom software applications and connected workflows for manufacturing, media/entertainment, architecture, and engineering.
simulationHub Web Services
simulationHub Web Service ( SWS) has become the first microservices based cloud platform to build thermal, fluid and hyper-localized weather applications. SWS provides more than 200 REST APIs.
Amazon Web Services
Amazon Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery and other functionality to help businesses scale, grow and build cloud applications.
Predix platform is a comprehensive and secure application platform to run, scale, and extend digital industrial solutions. The platform delivers shared capabilities that industrial applications is required.
It's the guiding structure that allows us to ensure consistent quality, seamless execution, and collaborative relationships between our people and our customers.
Our Core Expertise
We have grown up with 3D technologies. We are building the 3D application from predicting missiles trajectories to designing a kitchen for the homeowner.
The role of efficient meshing and discretization in modeling flow through discrete fracture networks (DFN)
CCTech / June 10, 2022
The Autodesk Forge Team hosted a Hackathon as a part of Autodesk University 2021. The AU Forge team announced five well-deserving winners and some honorable mentions. We are glad to share that CCTech scored two wins and an honorable mention for Hackathon 2021.
Over recent years, OpenGL has tremendously evolved, and a significant change occurred in the year 2003. With its new programmable pipeline (OpenGL 2.0), it allows you to have direct access to the GPU and these programs are known as Shaders.
By Saurabh Verma, Pradnya Pawar, Prasad Pawar, Suryansh Agrawal
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.
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.
Last week CCTech hosted its first hackathon. All CCTech developers were divided into six different teams and were asked to create app or product feature based on simulationHub Web Services, Autodesk Forge Platform, Amazon Web Services and General Electric Predix Platform.
As a computational geometry developer I have worked on several meshing software development projects. Every time mesh quality has become focal point. As matter of fact this becomes conflicting topic between the various teams due to the difference of opinion in engineering community.
For any CAD developer who is developing interactive CAD application one of the important topic of interest is Selection or Picking. However this topic is not discussed in detailed in most of the OpenGL resources. I hope this article helps you understand basic techniques available for selection.