OPTIMIZATION OF HOLE MAKING OPERATIONS USING ADVANCED OPTIMIZATION TECHNIQUES

Abstract

Optimization of hole-making operations in manufacturing industry plays a vital role. Tool travel newlineand tool switch planning are the two major issues in hole-making operations. Many industrial newlineproducts such as moulds, dies, engine blocks, automotive parts etc. require machining of a large newlinenumber of holes. Machining operations like drilling, enlargement or tapping/reaming are required newlineto achieve the final size of individual holes. This gives rise to a number of possible sequences to newlinecomplete hole-making operations on the part depending upon the location of holes and tool newlinesequence to be followed. It is necessary to find the optimal sequence of operations that minimizes newlinethe total processing cost of hole-making operations. In this work, an attempt is made to reduce the newlinetotal processing cost of hole-making operations by applying relatively new optimization newlinealgorithms known as Particle Swarm Optimization algorithm (PSO), Shuffled Frog Leaping newlineAlgorithm (SFLA) and proposed modified Shuffled Frog Leaping Algorithm (modSFLA) for the newlinedetermination of optimal sequence of machining operations on injection mould. Initially PSO and newlineSFLA were used for minimizing the total processing cost of hole-making operations of application newlineexamples. To widen the search capability and to overcome premature convergence, the local newlinesearch mechanism is modified in existing Shuffled Frog Leaping Algorithm. newline