Robust Design and Analysis for Machine Elements


Başdemir A., Karasu H. F.

ICHEAS 3rd International Conference on Applied Sciences, Cape-Town, South Africa, 25 - 29 January 2023, pp.164-165

  • Publication Type: Conference Paper / Summary Text
  • City: Cape-Town
  • Country: South Africa
  • Page Numbers: pp.164-165
  • Dokuz Eylül University Affiliated: Yes

Abstract

There are certain errors caused by variable parameters caused by environmental factors that occur in production processes that prevent ergonomic and error-free design. Keeping these errors to a minimum is critical importance in engineering science. Considering these situations, certain approaches based on numerical analysis are made in the design phase of engineering. These approaches are consists of two parts, deterministic and probabilistic. Probabilistic approach is a highly effective method of excellence within the scope of taking into account variable parameters. This method is one of the most effective methods in determining the dimensional parameters in the design, the structural condition of the part and the error variations that may occur due to production sensitivities. In the design process based on engineering fundamentals, probabilistic approach and numerical analyzes should be applied synchronously to obtain a robust design. In this context, the Six Sigma Method, which is used to provide operational excellence in design, is a very effective method in minimizing errors in the process from the design to production of a product.

In this study, CAD design of steel disc spring was modeled in SolidWorks program. Appropriate mesh quality was created of the modeled disc spring in ANSYS Workbench program, and then boundary conditions were determined. The disc spring was subjected to finite element (SE-FEA) analysis, taking into account the operating conditions and suitability for production. As a result of the assigned inputs, the six sigma analysis module was used together with the parametric optimization, and six sigma operational excellence was achieved in the design. Prototype and production costs are reduced, and engineering problems are solved significantly, based on probability, by obtaining a higher quality product with a robust design and producing close to zero defects.