• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (9): 214-223.doi: 10.3901/JME.2018.09.214

• 数字化设计与制造 • 上一篇    下一篇

基于性能演化的复杂产品概念设计求解过程研究

郑浩, 冯毅雄, 高一聪, 谭建荣   

  1. 浙江大学流体动力与机电系统国家重点实验室 杭州 310027
  • 收稿日期:2017-08-28 修回日期:2017-12-13 出版日期:2018-05-05 发布日期:2018-05-05
  • 通讯作者: 冯毅雄(通信作者),男,1975年出生,博士,教授,博士研究生导师。主要研究方向为数字化设计与仿真、多目标优化设计。E-mail:fyxtv@zju.edu.cn
  • 作者简介:郑浩,男,1988年出生,博士,博士后。主要研究方向为产品设计理论、智能设计与信息融合技术。E-mail:haozheng@zju.edu.cn;高一聪,男,1982年出生,博士,讲师。主要研究方向为产品维修性设计、拆卸设计。E-mail:gaoyicong@zju.edu.cn;谭建荣,男,1954年出生,博士,教授,博士研究生导师,中国工程院院士。主要研究方向为机械设计及理论、数字化设计与制造。E-mail:egi@zju.edu.cn
  • 基金资助:
    国家自然科学基金(51475417,51775489,51675477)和浙江省自然科学基金(LZ18E050001)资助项目。

The Solving Process of Conceptual Design for Complex Product Based on Performance Evolution

ZHENG Hao, FENG Yixiong, GAO Yicong, TAN Jianrong   

  1. The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027
  • Received:2017-08-28 Revised:2017-12-13 Online:2018-05-05 Published:2018-05-05

摘要: 性能约束满足是复杂产品设计的关键因素。传统概念设计求解的研究着重于功构映射及其推理实现,忽略了性能在求解过程中的演化规律,导致性能在设计过程中存在上下文孤立以及无法溯源等问题。为了解决这一问题,提出了基于性能演化的概念设计求解过程模型与实现方法。通过分析概念设计过程中的性能特性,构建集成期望性能、行为性能和结构性能的规范化性能演化模型。以此为基础对模型进行解析计算,主要包括面向期望性能辨识的重要度分析、面向行为性能均衡的单元规划求解以及面向结构性能适配的方案生成,同时建立了性能演化驱动的产品概念设计过程,以支持性能认知、性能优化以及性能计算的设计求解实现。最后以某型号液压机概念设计过程为例验证本方法的可行性与有效性。

关键词: 概念设计, 解析计算, 性能演化

Abstract: Performance constraint satisfaction is a crucial factor in complex product design. Traditional conceptual design methods mainly focus on the mapping of function-structure and reasoning process, however, the evolution rule on performance in solving process is rarely mentioned. Then performance in design process will exist some problems such as context isolation and location failure. In response, a novel solving process of conceptual design based on performance evolution is proposed. By analyzing the performance characteristics, a performance evolution model integrating desired performance, behavior performance and structural performance is put forward. Then the analytic calculation process is conducted, which is included of importance analysis for desired performance identification, unit planning for behavior performance balancing and scheme generation for structural performance adaption. The conceptual design process based on performance evolution is presented to support performance cognition, performance optimization and performance computation. Finally, a case study is given to demonstrate the feasibility and effectiveness of the proposed approach.

Key words: analytic calculation, conceptual design, performance evolution

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