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The term Body-in-White (BIW) is used to describe the assembled sheet metal components of a car body, excluding movable parts like hoods and fenders, trims, such as glass and seats, and chassis subassemblies. It represents the structural core of the vehicle once all the welded components have been joined together. The BIW typically constitutes approximately 27% of the car's overall weight and plays a crucial role in determining its performance. In a monocoque structure, all the body members contribute to bearing the load, and the chassis is integrated within the BIW. Simulation has become increasingly valuable in the field of automation, providing a means to save time and reduce costs in the development process. The objective of this work is to evaluate the applicability of simulation processes in a real robot cell and determine the optimal allocation of resources within the cell using Process Simulate software. Through numerical analysis and simulations, the static stiffness of a commercial vehicle's BIW model was evaluated.

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Simulation and Optimisation of Automated Robot Workstation of Car Body-In-White Using Process Simulate

  • 会议论文

  • 发表日期：

    2026年

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  • V. Vikram Athreya,
  • Sunil Gaekwad,
  • N. Sharath Chandra,
  • H. M. Sanjay Gowda

摘要

The term Body-in-White (BIW) is used to describe the assembled sheet metal components of a car body, excluding movable parts like hoods and fenders, trims, such as glass and seats, and chassis subassemblies. It represents the structural core of the vehicle once all the welded components have been joined together. The BIW typically constitutes approximately 27% of the car's overall weight and plays a crucial role in determining its performance. In a monocoque structure, all the body members contribute to bearing the load, and the chassis is integrated within the BIW. Simulation has become increasingly valuable in the field of automation, providing a means to save time and reduce costs in the development process. The objective of this work is to evaluate the applicability of simulation processes in a real robot cell and determine the optimal allocation of resources within the cell using Process Simulate software. Through numerical analysis and simulations, the static stiffness of a commercial vehicle's BIW model was evaluated.