Abstract
The product design process has a very important effect on product costs. It aims to develop products that are able to compete by achieving an optimum design in the product design process. This research presents the first application in the literature of the grey wolf, whale, water cycle, ant lion and sine-cosine optimization algorithms for the optimum design of vehicle components. In this study, the optimal structural model of a vehicle connecting rod was determined. In the optimization process, various design alternatives were created by using the latin hypercube method. Stress analysis was performed for each of these designs. According to the generated responses, equations for objective and constraint functions were obtained. The optimization problem was solved using the above mentioned algorithms which have been newly developed in the literature, resulting in optimum connection rod design. The results demonstrate that the grey wolf, whale, water cycle, ant lion and sine-cosine algorithms are very important options in optimizing design and manufacturing optimization problems.
Kurzfassung
Der Designprozess von technischen Produkten hat erhebliche Auswirkungen auf die Kosten der Produkte. Es besteht das Ziel, Produkte zu entwickeln, die Wettbewerbsmöglichkeiten haben, indem ein optimales Design im Entwicklungsprozess erzielt wird. In der diesem Beitrag zugrunde liegenden Studie wurde das optimale strukturelle Modell einer Pleuelstange für einen Fahrzeugmotor ermittelt. In dem Optimierungsprozess wurden fünfzig verschiedene Designalternativen kreiert, indem das Latin-Hypercube-Verfahren angewandt wurde und eine Spannungsanalyse für jedes dieser Designs durchgeführt wurde. Entsprechend der so generierten Antworten wurden Gleichungen für die Ziel- und Nebenbedingungsfunktion ermittelt. Die Optimierungsaufgabe wurde mittels des Grey-Wolf-Optimierungsalgorithmus gelöst, der kürzlich aus der Literatur entnommen wurde und damit das optimale Design des Pleuels erzielt.
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