Selection of the optimal scheme for the conceptual design of a polisher considering multi-source uncertainties

IF 1.5 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Mechanical Science and Technology Pub Date : 2024-08-02 DOI:10.1007/s12206-024-0723-7

Zhenyu Liu, Zhinan Li, Guodong Sa, Hui Liu, Jianrong Tan

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引用次数: 0

Abstract

Conceptual design plays an important role in determining the basic characteristics and final product performances. However, there are many uncertainties in the conceptual design, such as the vagueness of customer requirements, uncertainty of design parameters, and diversity of the decision-making, which will lead to fluctuations in the performance or even failure of the scheme in many cases. To solve this problem, a conceptual design model was constructed by considering multi-uncertainties. First, taking satisfaction, performance, and production cost as design objectives, a conceptual design optimization model was established. Secondly, an improved non-dominated sorting genetic algorithm-II (NSGA-II) based on the expectation-possibility-probability hybrid model was proposed to search the Pareto solutions of conceptual design. Finally, the optimal conceptual design scheme was selected from the Pareto set by using the intuitionistic fuzzy λ-Shapely Choquet integral method. The effectiveness and efficiency of the proposed method were validated by the polishing machine conceptual design.

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考虑多源不确定性，为抛光机概念设计选择最佳方案

概念设计在确定产品的基本特征和最终性能方面发挥着重要作用。然而，概念设计中存在许多不确定因素，如客户要求的模糊性、设计参数的不确定性、决策的多样性等，在很多情况下会导致方案性能的波动甚至失败。为解决这一问题，我们考虑了多种不确定性因素，构建了一个概念设计模型。首先，以满意度、性能和生产成本为设计目标，建立了概念设计优化模型。其次，提出了一种基于期望-可能性-概率混合模型的改进型非支配排序遗传算法-II（NSGA-II）来搜索概念设计的帕累托方案。最后，利用直觉模糊 λ-Shapely Choquet 积分法从帕雷托集中选出最优概念设计方案。抛光机概念设计验证了所提方法的有效性和效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Mechanical Science and Technology 工程技术-工程：机械

CiteScore

2.90

自引率

6.20%

发文量

517

审稿时长

7.7 months

期刊介绍： The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering. Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.