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Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing

机译:基于知识的集成产品设计框架,可持续低碳制造

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摘要

With a global challenge on the serious ecological problems, low-carbon manufacturing aiming to reduce carbon emission and resource consumption is gaining the ever-increasing attention. Due to the significant impact on the product lifecycle, low-carbon product design is considered as an effective and attractive approach to improve the eco-market trade-off of electromechanical products. Existing low-carbon product design approaches focus on solving specific low-carbon problems, and how to explore and navigate the integrative design space considering low-carbon and knowledge in a holistic perspective is rarely discussed. In response, this paper proposes a knowledge-based integrated product design framework to support low-carbon product development. An ontology-based knowledge modelling approach is put forward to represent the multidisciplinary design knowledge to facilitate knowledge sharing and integration. Subsequently, a function-structure synthesis approach based on case-based reasoning is presented to narrow down the design space to generate suitable design solutions for achieving desired functions. A multi-objective mathematical model is established, and the multi-objective particle swarm optimization is adopted to solve the low-carbon product optimization. Furthermore, a decision-making ranking approach based on the closeness degree is employed to prioritize the potential solutions from Pareto set. Finally, a case study of low-carbon product design of hydraulic machine is demonstrated to show the effectiveness.
机译:以严重的生态问题为全球挑战,旨在减少碳排放和资源消费的低碳制造业正在增加越来越多的关注。由于对产品生命周期的显着影响,低碳产品设计被认为是改善机电产品的生态市场权衡的有效和有吸引力的方法。现有的低碳产品设计方法侧重于解决特定的低碳问题,以及如何考虑到整体角度下的低碳和知识探索和导航的综合设计空间。作为回应,本文提出了一种基于知识的集成产品设计框架,以支持低碳产品开发。提出了一种基于本体的知识建模方法来代表多学科设计知识,以促进知识共享和集成。随后,提出了基于基于案例推理的函数结构合成方法,缩小设计空间以产生用于实现所需功能的合适的设计解决方案。建立了多目标数学模型,采用多目标粒子群优化来解决低碳产品优化。此外,采用基于接近度的决策排序方法来优先从帕累托集中优先考虑潜在的解决方案。最后,证明了一种液压机低碳产品设计的案例研究表明了有效性。

著录项

  • 来源
    《Advanced engineering informatics》 |2021年第4期|101258.1-101258.13|共13页
  • 作者单位

    Hangzhou Innovation Institute Beihang University Hangzhou 310052 People's Republic of China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 People's Republic of China;

    Hangzhou Innovation Institute Beihang University Hangzhou 310052 People's Republic of China;

    State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 People's Republic of China;

    State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 People's Republic of China;

    State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 People's Republic of China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Low-carbon product design; Multi-objective optimization; Design knowledge representation; Low-carbon manufacturing;

    机译:低碳产品设计;多目标优化;设计知识表示;低碳制造业;

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