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首页> 外文期刊>International journal of sustainable engineering >Multiobjective optimisation method for life-cycle design of mechanical products
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Multiobjective optimisation method for life-cycle design of mechanical products

机译:机械产品生命周期设计的多目标优化方法

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Manufacturing that minimises the exhaustion of natural resources, energy used and deleterious environmental impact is increasingly demanded by societies that seek to protect global environments as much as possible. To achieve this, life-cycle design (LCD) is an essential component of product design scenarios; however, LCD approaches have not been well integrated in optimal design methods that support quantitative decision-making. This study presents a method that yields quantitative solutions through optimisation analysis of a basic product design incorporating life-cycle considerations. We consider two types of optimisation approaches that have different aims, namely, (1) to reduce the use of raw materials and energy consumption and (2) to facilitate the reuse of the product or its parts when it reaches the end of its useful life. We also focus on how the optimisation results differ according to the approach used, from the viewpoint of the 3R concept (Reduce, Reuse and Recycling). Our method obtains optimum solutions by evaluating objectives fitted to each of these two optimisation approaches with respect to the product's life-cycle stages, which are manufacturing, use, maintenance, disposal, reuse and recycling. As an applied example, a simple linear robot model is presented, and Pareto optimum solutions are obtained for the multiobjective optimisation problem whose evaluated objectives are the operating accuracy of the robot and the different life-cycle costs for the two approaches. The characteristics of the evaluated objectives and design variables, as well as the effects of using material characteristics as design parameters, are also examined.
机译:试图尽可能保护全球环境的社会越来越要求最大限度地减少自然资源,能源消耗和有害环境影响的制造。为此,生命周期设计(LCD)是产品设计方案的重要组成部分。但是,LCD方法尚未很好地集成到支持定量决策的最佳设计方法中。这项研究提出了一种方法,该方法可以通过对包括生命周期因素在内的基本产品设计进行优化分析来得出定量解决方案。我们考虑了两种具有不同目标的优化方法,即(1)减少原材料的使用和能源消耗,以及(2)在产品或部件达到使用寿命时促进其再利用。从3R概念(减少,重复使用和回收)的角度来看,我们还将重点关注优化结果如何根据所使用的方法而有所不同。我们的方法通过评估针对产品生命周期各个阶段(包括制造,使用,维护,处置,再利用和再循环)的这两种优化方法中的每一个所达到的目标来获得最佳解决方案。作为一个应用实例,提出了一个简单的线性机器人模型,并针对多目标优化问题获得了帕累托最优解,该问题的评估目标是机器人的操作精度和两种方法的不同生命周期成本。还检查了评估目标和设计变量的特性,以及使用材料特性作为设计参数的效果。

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