Manufacturing Technology Today

A. Mohamed Ameen ¹, K. Sivakumar ²

Affiliations
1 J.J. College of Engineering and Technology, IN
2 Dept. of Production, J.J. College of Engineering and Technology, IN

Abstract

The recent development in the tolerance allocation in machine components have undergone significant changes in the last few years, and these changes may provide new opportunities for getting more profit and to use modern techniques with no compromise in the standard quality. Though there are so many techniques and procedures to maintain quality and to improve quality Tolerance allocation is an effective tool to allocate the tolerances for the components in the assembly without affecting the functional requirements with the minimum machining cost. It requires the information about individual parts production characteristics, including material cost, production cost and mean shift. Traditionally tolerance allocation in an assembly is obtained by trial and error method. A more scientific approach is often desirable for better performance. In this work, tolerance design optimization of machine elements is taken for analysis. This single objective, non-linear and constrained problem is solved with the new non-conventional technique called Genetic Algorithm (GA). The results are compared with conventional techniques and the performance is analyzed.

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K. Sivakumar ¹, R. Saravanan ², A. Noorul Haq ³

Affiliations
1 Department of Production Engineering, J. J. College of Engineering and Technology, Tiruchirappalli, IN
2 Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore, IN
3 Department of Production Engineering, National Institute of Technology, Tiruchirappalli, IN

Abstract

In modern manufacturing engineering tolerances plays an important role because it is directly impact quality of the product, machining cost, and quality loss. In traditional approach, tolerances have been allocated based on designer’s experience or trial and error method. Practically it is not feasible. A more scientific approach is often desirable for better performance. In this work, the optimization of tolerance allocation of over running clutch assembly and punch and die assembly are taken for analysis. This multi objective non linear, constraint, problems are solved with the Genetic Algorithm (GA). The results are compared with conventional method and the performances are analyzed.

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