Siemens announced the launch of simulation software for additive manufacturing (AM) processes. This software can be utilized for predicting distortion during the process of 3D printing. This newly launched product has been incorporated into the end-to-end additive manufacturing (AM) solution of Siemens. It assists the market players in designing as well as printing essential parts at scale.
A digital twin has been implemented by the AM Process Simulation solution for simulating the development process before printing. It displays distortions in the printing process and auto-generates the appropriate symmetry to make up for the distortions. This simulation would help in development of ‘first time right’ print along with attaining efficiencies necessary for the entirely industrialized AM processes.
Christoph Hauck, managing director, MBFZ toolcraft, outlined that implementation of the Simcenter 3D AM Process Simulation solution would enable the company to complete the additive manufacturing workflow with the help of real-world testing. The company is confident that this simulation software will help in providing a quality output from its print processes.
During the 3D printing of parts, heat is involved in the process of fusing the layers. As the layers are formed, there is a residual heat that can cause various problems such as structural deformities and printing stoppage. These issues result in failure of printing and makes the “first-time-right” print difficult to attain. Simulation software can eliminate such issues and prevent the loss.
This new process simulation product of Siemens is incorporated into the Powder Bed Fusion Process chain in the PLM Software Additive Manufacturing portfolio. It can be utilized for prediction of distortions during metal printing. Jan Leuridan, senior vice president for simulation and test solutions at Siemens PLM Software outlined that the latest product would help users in industrializing additive manufacturing through designing and printing of essential parts at scale. The combination of computational and empirical methods would help in raising the accuracy of the simulation process along with giving outputs the digital twin and assisting customers in obtaining better predictions for the real-world printings.
As simulation software help in designing equipment and various products, different sectors have been adopting it from past few years. Technological advancements have enabled companies to construct the software with optimum capabilities to help users design the best products. According to the report by Allied Market Research, the global simulation software market is expected to reach $10.02 billion by 2025, registering a CAGR of 8.90% from 2018 to 2025. The usage of simulation software for development of IoT devices would create new opportunities in the industry.
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