Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 46, Issue 5-8, Pages 445-464Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00170-009-2104-x
Keywords
Machining; Optimization; Process models; Soft computing
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Machining is one of the most important and widely used manufacturing processes. Due to complexity and uncertainty of the machining processes, of late, soft computing techniques are being preferred to physics-based models for predicting the performance of the machining processes and optimizing them. Major soft computing tools applied for this purpose are neural networks, fuzzy sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. The present paper reviews the application of these tools to four machining processes-turning, milling, drilling, and grinding. The paper highlights the progress made in this area and discusses the issues that need to be addressed.
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