Abstract
This paper describes a methodology to design vehicle body frames in the early stage of product development considering the target weight range. 2D maps were generated to show the relationship between the body frame layout, weight, and performance such as crashworthiness. A combination of parametric modeling and machine learning enabled to identify candidate solutions with various parameters and their ranges before making drawings.