Abstract

Abstract: This project's thesis centers on identifying diverse loading scenarios and leveraging their outcomes to optimize two components of a washing machine. The initial phase of this report involves generating a numerical model of a washing machine. This encompasses assembling it in a mechanical software program (ANSYS) and defining specific boundary conditions and material properties for the problem. Decisions on simulation parameters, such as mesh size, types of elements, and the number of iterations in the calculations, will also be made. An examination of various loading scenarios is conducted to gain an overall understanding of the problem and select four specific cases for application in reconstructing the target parts (Spider and front cover). This examination involves calculating the worst relative angle between the Spider and the resultant force for two opposing loads inside the drum. The resulting angle is found to be 35º between the arm and the direction of the resultant force. By applying these diverse loading conditions to the model, the mechanical behavior of the parts will be determined, and this information will be utilized in the reconstruction. Mechanical behavior, in this context, refers to understanding the maximum levels of stress (tension, compression, and shear) and deformation (displacement and strain). Once the critical points of stress in the Spider and front cover are identified, various new shapes are created. The reconstruction parameters considered include volume reduction, stress level reduction, and deformation. Two of these shapes are selected and tested in the numerical model as a validation process.

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