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In recent years, topology optimization has been used as an innovative approach to design lightweight and high-performance components. Despite the high variety of developed topology optimization approaches, only a limited number of them can be used in commercially available software programs, and in particular, for complex geometries. Three different types of these methods have been utilized and investigated in this research. In the first step, an industrial part is redesigned for topology optimization. Then, the volume of this part is reduced by 60% by three different methods of Continuous Compliance Optimization (CCO) , Discrete Compliance Optimization (DCO) , and Stress-Constrained Optimization (SCO) . Then, a number of parameters, such as the maximum stress and displacement, safety factor, error of convergence, the final weight, and the computational cost of each approach are assessed. Finally, in a nutshell, it can be concluded that despite the differences in the performance and result of each method, all of them are applicable, but the SCO method could achieve the best result due to the minimum stress concentration and final weight. It is noteworthy that topology optimization configurations have many complexities and can only be produced by additive manufacturing technologies due to their potential and flexibility.
 

Keywords: Topology Optimization, Stress-Constrained Optimization (SCO), Continuous Compliance Optimization (CCO), Discrete Compliance Optimization (DCO), Additive Manufacturing

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