領袖觀點｜Digital Twin and Low Carbon Emission of Smart Manufacturing Technology Development Trends
Introduction
Digital Twin technology has gained significant momentum in the manufacturing industry in recent years. In this article, we delve into Siemens' current Digital Twin development status, the domestic machine tool manufacturers' adoption of digital twin systems, and the potential of Digital Twin in optimizing energy consumption for low-carbon manufacturing.
Siemens' Digital Twin Development Status
Siemens has been heavily investing in Digital Twin technology development for several years. The company has established a comprehensive digital twin platform applicable across various industries. Traditional processes have high costs and risks.
This platform aids manufacturers in digital transformation for development processes. The benefit is cost and time reduction of prototype development and avoids the need to detect failures in the final stage. It incorporates features such as real CNC simulation, real-time data analytics, and predictive maintenance. Siemens is actively working on integrating its digital twin of industrial control systems with third-party software, thereby creating a more extensive platform for manufacturers. Siemens continues to lead in Digital Twin technology development through ongoing research and development efforts.
SinuTrain as the Entry-Level Digital Twin
SinuTrain, developed by Siemens, streamlines programming by enabling users to perform all programming on their computers, eliminating the need for on-machine programming. SinuTrain offers a fundamental digital twin tool where users can also incorporate machine operation & programming with SinuTrain without 3D kinematics. SinuTrain is a valuable resource for customers seeking efficient machine programming and reducing preparation time before machining.
Current Adoption of Digital Twin Systems among Domestic Machine Tool Manufacturers
Domestic machine tool manufacturers are increasingly embracing Digital Twin systems. These systems are not only being used to optimize production processes, minimize development time, and enhance product quality but are also improving maintenance and repair procedures, leading to cost reduction and increased overall efficiency. By simulating various production scenarios, manufacturers can identify the most efficient processes, thereby reducing waste, enhancing product quality, and boosting productivity. The adoption of Digital Twin systems is rapidly growing in the machine tool industry, with further expansion expected in the future.
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