Weight Optimization of the Gearbox Using Interior Point Method

Weight is important subject to industry that produce machine like truck, grader etc. Thus, weight optimization problem is challenging area to work at optimization area. A few optimization solution is already exit in literature. However, these algorithms are meta-heuristic algorithms. In this study,...

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Bibliographic Details
Published inInternational journal of precision engineering and manufacturing Vol. 24; no. 1; pp. 113 - 118
Main Authors Avcu, Mehmet Enes, Gökçe, Harun
Format Journal Article
LanguageEnglish
Published Seoul Korean Society for Precision Engineering 01.01.2023
Springer Nature B.V
Subjects
Algorithms
Engineering
Gearboxes
Heuristic methods
Industrial and Production Engineering
Materials Science
Nonlinear programming
Optimization
Regular Paper
Weight optimization
Interior point method
Non-constraint optimization
Numerical optimization
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Summary:Weight is important subject to industry that produce machine like truck, grader etc. Thus, weight optimization problem is challenging area to work at optimization area. A few optimization solution is already exit in literature. However, these algorithms are meta-heuristic algorithms. In this study, numerical optimization algorithm implemented for weight optimization problem. The interior point method (IPM) is most powerful algorithm for nonlinear programming (Nocedal and Wright in Numerical optimization, Springer, Berlin, 2006). We show the result of IPM algorithm and check against meta-heuristic algorithms.
Bibliography:ObjectType-Article-1
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ISSN:2234-7593
2005-4602
DOI:10.1007/s12541-022-00723-1