Development of a methodology for processing of drilling operations

Document Type

Journal Article


Faculty of Computing, Health and Science


School of Engineering




This article was originally published as: Tolouei Rad, M. , & Shah, A. J. (2012). Development of a methodology for processing of drilling operations. World Academy of Science, Engineering and Technology, 72(December), 202-206. Original article available here


Drilling is the most common machining operation and it forms the highest machining cost in many manufacturing activities including automotive engine production. The outcome of this operation depends upon many factors including utilization of proper cutting tool geometry, cutting tool material and the type of coating used to improve hardness and resistance to wear, and also cutting parameters. With the availability of a large array of tool geometries, materials and coatings, is has become a challenging task to select the best tool and cutting parameters that would result in the lowest machining cost or highest profit rate. This paper describes an algorithm developed to help achieve good performances in drilling operations by automatically determination of proper cutting tools and cutting parameters. It also helps determine machining sequences resulting in minimum tool changes that would eventually reduce machining time and cost where multiple tools are used.

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