IGTech is a national high-tech enterprise which has independent R&D department with a number patents for invention software copyrights. The founder is a returned doctor in manufacturing field, and the team integrates a group of outstanding scientific and technological elites in the fIied of Manufacturing, Electronics, MateriaI, Computer and so on. IGTech is committed to improving the national intelligent manufacturing capabiIity.
IGTech provides data analysis and appIication platform of digitized manufacturing process for customers,which compIies with the trend of global industry 4. 0 and the pIan of nationaI inteIIigent manufacturing 2025. At the same time, combined with the industrial experience,IGTech develops various inteIIigent softwares for different production process to improve the quality and efficiency for customers.
National Science and Technology Major Project -
Complex cutting tool condition monitoring and product life management、
Digital twin modeling and simulation software for all elements included in the complicated product machining process.
Intelligent Grinding Technology Co., Ltd., a global leader in intelligent software solutions for mechanical manufacturing, will officially release its white paper on "Process-Level Digital Twin Technology and Application in Mechanical Manufacturing" at CIMT 2023. The white paper will focus on the status quo and value of intelligent process system in mechanical manufacturing, explaining its innovative theory of process-level digital twinning and patented technologies in mechanical manufacturing. It will also introduce a series of intelligent software products for design and real-time control of machining processes developed by Grinding within this system. Furthermore, the white paper will present a multidimensional element evaluation model for "mechanical manufacturing digital twinning service providers," allowing mechanical manufacturing, CNC machine tool, and industry chain enterprises to select suitable service providers amidst the diverse digital era and facilitate the enhancement of their core processing capabilities.
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