City Research Online

Abstract

This article presents three methods of structural optimization for a rectangular sample under tensile load to minimize von Mises stress as an objective function. In the first method, namely the position-finding method, the initial volume is reduced by cut-extrusion of some circular holes with a uniform volume gradient along the length of the sample. In this method, the position of each hole is manipulated by using a genetic algorithm (GA) to achieve the minimum von Mises stress versus a specific tensile load. In the second method, namely geometry optimization method, several circular holes with different diameters are cut-extruded with monotonically decreasing volume gradient along the length of the sample to create a volume fraction at the beginning of optimization. As an alternative approach to the first method, an algorithm is seeded to alter the diameters of holes on the sample to minimize the same objective function i.e., von Mises stress. In the third method, namely integrated position and geometry optimization approach, severalsquare holes are cut-extruded along the length of the sample with a uniform volume gradient. Then, by using a GA, the position of each square along the width of the sample is manipulated together with their dimensions to minimize the same objective function of former methods versus the same applied load. Finally, the structural resultsof each sample in addition to the generated support structures, as one of the basic elements of some additive manufacturing (AM) processes,are compared with the software-based topologically-optimized sample with equivalent volume fraction

Publication Type:	Article
Publisher Keywords:	Structural Optimization; Topology Optimization; Additive Manufacturing (AM); Support Structures
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Departments:	School of Science & Technology School of Science & Technology > Engineering
SWORD Depositor:	Symplectic Administrator

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