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Design Optimization Support Software×IDAJ - List of Manufacturers, Suppliers, Companies and Products

Design Optimization Support Software Product List

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Expansion of Quality Engineering Applications, Prototypeless Development, and Pathways to AI Utilization

Proposals for efficient design that surpass the development and design efficiency of new technologies and optimization!

We propose "Front-loading development using CAE and improving design efficiency" aimed at expanding the application of quality engineering, reducing prototypes, and utilizing AI. Currently, even if only a part of the characteristics, such as structural properties, is being optimized, ideally, it should be possible to achieve overall optimization for other characteristics such as fluid properties, cost, acoustic properties, and aesthetics. Therefore, we offer solutions aimed at expanding the application of quality engineering and reducing prototypes using the multi-purpose robust design optimization support tool "modeFRONTIER." [Proposal] - Aim for front-loading development using CAE and improving design efficiency - Multi-purpose robust design optimization support tool "modeFRONTIER" *For more details, please refer to the PDF document or feel free to contact us.

  • Company:IDAJ
  • Price:Other
  • Development support tools (ICE, emulators, debuggers, etc.)
  • simulator
  • Other analyses

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[Case Study] Front Beam Shape Optimization by FIAT

Introduction of a case where automatic exploration of the optimal shape for the chassis part of a vehicle was achieved!

We would like to introduce a case study from FIAT that applies our "modeFRONTIER" to the shape optimization of the chassis part of vehicles. By using material properties and dimensions as design variables, we are exploring designs that maintain energy absorption rates during collisions while being lightweight. However, applying collision phenomenon simulations to automated exploration calculations was highly burdensome. Therefore, we first simulated 90 designs using the Latin hypercube method with simulation tools, generated a response surface based on the results obtained, and applied that approximation function as a virtual solver to automatically search for the optimal solution. 【Case Study】 ■ Software Used: modeFRONTIER, MSC.Nastran, Raddioss ■ Objective: To explore lightweight designs that maintain energy absorption rates during collisions ■ Challenge: The burden of applying collision phenomenon simulations to automated exploration calculations is high ■ Methodology - Simulated 90 designs using the Latin hypercube method with simulation tools - Generated a response surface - Applied the approximation function as a virtual solver ■ Result: Achieved automatic exploration of the optimal solution *For more details, please refer to the external link or feel free to contact us.

  • Company:IDAJ
  • Price:Other
  • Other analyses
  • simulator

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