Siemens announces agreement to acquire MultiMechanics

November 18, 2019 - Siemens announced that it has signed an agreement to acquire MultiMechanics, developer of MultiMech finite element software that helps companies virtually predict failure in advanced materials. The company plans to integrate MultiMechanics into Siemens Digital Industries Software, which will add the ability for customers to create a digital twin of materials by closely integrating materials engineering with part design, performance engineering, and manufacturing through the unique TRUE Multiscale technology for a range of material-driven applications. MultiMechanics’ technology helps companies to predict material properties and behavior, including failure starting at the microstructural level. This technology will be incorporated into Simcenter software within Siemens’ Xcelerator portfolio, implementing materials engineering into the digital workflow and establishing a link between material developers, manufacturing process developers and part designers.                                                              

Digitalization, or the fourth industrial revolution, is happening today, causing disruption in the process and discrete industries, and blurring boundaries between domains, merging the virtual and real world, hardware and software, and design and manufacturing. In this dynamic environment, the ability to meet rapidly changing consumer preferences and requirements with insights and data is essential and can only be achieved through digital twins that represent and validate what is possible through a complete end-to-end workflow. Siemens‘ acquisition of MultiMechanics further expands the ability to create the most comprehensive digital twin by integrating structural computer-aided engineering (CAE) with detailed materials modeling through TRUE Multiscale technology, for a broad range of materials, including polymers, metals, composites, and ceramics. Manufacturing technologies such as injection-moulding and additive manufacturing will see immediate applications, as the digital twin of materials can account for manufacturing variability and imperfections, identify the root cause of material failure at microstructure level, optimize material microstructure for best performance, and enable the creation and virtual testing of new material systems.

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