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Determining Optimum Design Parameters of Foldable Product Using Response Surface Methodology and Genetic Algorithm

机译:使用响应面方法和遗传算法确定可折叠产品的最佳设计参数

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It is desired to optimize design parameters in any product development for achieving the appropriate efficiency level in any manufacturing industry. To select the best materials used, reduce cost, and increase a product’s sustainability, an analysis of all design parameters must be conducted. Suitable design parameters and their optimum ranges provide the feasibility in developing a specific product. Response Surface Methodology (RSM) provides the opportunity of checking the parameters after considering optimization strategies, which results in improving the production process. In this study, the research aims to construct a 3D model and a mathematical equation on a foldable product to optimize the design parameters. A 2-level 3 factors small Central Composite Design (CCD) method is used for planning experimental trials, and the primary objective is to determine the optimal value for three design parameters, which are fold angle, length of the cycle, and height between seat and paddle in terms of the response which is “time required to fold the product”. This paper directs attention towards response optimization to achieve minimum “time required to fold the product” using the desirability criteria of Response Surface Methodology (RSM) and the optimization approach of the Genetic Algorithm (GA). The optimum value of “time required to fold the product” is found to be 2.415 seconds with a combination of design parameters such as “fold angle” of 180°, “length of the cycle” of 74.112 cm, and “height between seat and paddle” of 0.613 m using Response Surface Methodology (RSM). The Genetic Algorithm (GA) predicts the “time required to fold the product” is 2.39 seconds and design parameters of “fold angle” of 179.559°, “length of the cycle” of 74.1 cm, and “height between seat and paddle” of 0.59 m. This similar sort of analysis can be implemented in different manufacturing industries for developing a specific product.
机译:希望优化任何产品开发中的设计参数,以实现任何制造业的适当效率水平。要选择所使用的最佳材料,降低成本并提高产品的可持续性,必须进行对所有设计参数的分析。合适的设计参数及其最佳范围提供开发特定产品的可行性。响应面方法(RSM)提供了在考虑优化策略后检查参数的机会,这导致提高生产过程。在这项研究中,研究旨在在可折叠产品上构建3D模型和数学方程来优化设计参数。 2级的3个因素小中央复合设计(CCD)方法用于规划实验试验,主要目标是确定三个设计参数的最佳值,这些参数是折叠角度,周期的长度和座椅之间的高度并在响应方面划桨,这是“折叠产品所需的时间”。本文引导了对响应优化的关注,以实现使用响应面方法(RSM)的可归配性标准和遗传算法(GA)的优化方法来实现最小“折叠产品所需的时间”。发现“折叠产品所需时间”的最佳值是2.415秒,设计参数的组合,如“折角”为180°,“循环长度”为74.112cm,“座椅之间的高度”使用响应表面方法(RSM)桨式“0.613μm”。遗传算法(GA)预测“折叠产品所需的时间”是2.39秒,设计参数为179.559°,“循环长度”为74.1cm,“座椅和桨叶之间的高度” 0.59米。这种类似的分析可以在不同的制造行业中实施,用于开发特定产品。

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