Manufacturing Technology Today

T. V. Gopal ¹, B. Rajmohan ²

Affiliations
1 School of Mechanical Engg., S. R. M. Institute of Science and Technology, Kattankulathur-603203, IN
2 Dept. of Production Technology., M.I.T. Campus, Anna University, Chennai-600044, IN

Abstract

This paper attempts to use the Ordering Genetic Algorithm to generate the optimized sequence for robotic assembly with the following five-optimization criteria:(i) Geometrical Constraints (ii) Number of reorientations (iii) Gripper changes (iv) Subassembly formation (v) Manipulability. The assembly sequence along with the direction of insertion, grippers and subassembly is represented as an individual chromosome in this work. The fitness function is obtained as a weighted sum of the penalties assigned for every poor or undesirable assembly sequence. The idea of penalties allows many criteria to be considered simultaneously. Moreover this notion of penalty will allow one to transform a multi objective optimization problem to a single objective optimization problem. Starting from a randomly initialized population the next generation is evolved using the genetic operators like the modified version of partially matched crossover and mutation. The evolution of subsequent generations converges towards a near-optimal solution. The effectiveness of the proposed method is demonstrated using an example.

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V. S. K Venkatachalapathy ¹, B. Rajmohan ²

Affiliations
1 Sri Manakulavinayagar Engineering College, Madagadipet, Pondicherry-605107, IN
2 Department of Production Technology, Madras Institute of Technology (MIT), Anna University, Chromepet, Chennai-600044, IN

Abstract

The invention of high strength and high temperature alloys for usage in advanced applications like space vehicles, automobiles and many other fields which involve very high temperatures and loads necessitate the need for higher dimensional and geometric accuracy. Such high performance materials are inherently "More difficult to machine" and grinding is one of the most familiar and common abrasive machining processes used for finishing operation of such materials. This paper deals with the experimental studies, to achieve better surface finish with increased hardness at the surface by utilizing the in-process energy source developed during machining. Experimental studies have been carried out in cylindrical grinding for various steel materials by varying the number of passes, depths of cut and feed-speeds to optimize the in-process energy to achieve maximum hardness at the surface. Surface texture study has also been carried out to analyse and improve the quality of the components and the results are reported.

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