Successfully reduced weight by approximately 12%! Introduction of a case study on "DEP MeshWorks".
We would like to introduce a case study of the all-in-one CAE platform "DEP MeshWorks" that our company handles, implemented by major automotive manufacturers in North America. The customer was interested in our solution to achieve the challenge of reducing the weight of an SUV while maintaining performance targets by using parameterization of thickness and shape. The main method we proposed was a Design of Experiments (DOE) based multi-domain optimization/design exploration using "DEP MeshWorks" and CAD morphing. The multi-domain optimization/design exploration method based on parameterization using MeshWorks successfully reduced the weight by approximately 12% while meeting all performance targets. [Case Study] ■Challenge - Reduce the weight of the SUV while maintaining performance targets - Provide the optimized CAD model to the design team ■Proposal - DOE-based multi-domain optimization/design exploration using MeshWorks and CAD morphing *For more details, please refer to the PDF document or feel free to contact us.
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【Results of Implementation】 ■Successfully reduced weight by approximately 12% by meeting all performance targets. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Download All Catalogs![[Case Study] Optimization of the Entire SUV Vehicle](https://image.mono.ipros.com/public/catalog/image/01/21e/507176/IPROS10326010105199571997.jpeg?w=120&h=170)
Company information
Detroit Engineered Products (DEP) provides engineering solutions to support product development and software products to solve our customers' business challenges. Established in 1998 in Troy, Michigan, USA, DEP is a global company that has since expanded its presence to Europe, India, China, South Korea, and Japan. DEP Japan Co., Ltd. offers DEP's unique digital engineering platform, which enables flexible exploration of various design ideas through a mesh-based environment and realizes innovative design spaces utilizing AI/ML (artificial intelligence/machine learning). Furthermore, it features an open environment that does not restrict solver choices, allowing for performance development primarily based on CAE, including design, engineering, advanced analysis, and multidisciplinary design exploration, ultimately returning the final shape as CAD data to CAD tools. This flow supports the acceleration, transformation, and democratization of a consistent engineering process.
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