Scholarlink

The study presents a new method based on generative design and multi-criteria analysis to select the best design option accounting for engineering performance, economic feasibility and other design goals (e.g. novelty, compliance). A comparison between topology optimization and generative design is proposed and discussed. The method is applied to the design of a rocker for racing cars.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Multi-Criteria Analysis Method in Algorithm-Driven Design

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Thomas Agostinelli,
  • Silvia Ceccacci,
  • Andrea Generosi,
  • Giovanni Giancamilli,
  • Maura Mengoni

摘要

The study presents a new method based on generative design and multi-criteria analysis to select the best design option accounting for engineering performance, economic feasibility and other design goals (e.g. novelty, compliance). A comparison between topology optimization and generative design is proposed and discussed. The method is applied to the design of a rocker for racing cars.