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Selection of Non-traditional Machining Processes Using Analytic Network Process by Shaswata Das; Shankar Chakraborty is a Engineering article available to read on EtoBox.

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Non-traditional machining (NTM) processes are now being widely used to generate intricate and accurate shapes in materials, like titanium, stainless steel, high strength temperature resistant (HSTR) alloys, fiber-reinforced composites, ceramics, refractories and other difficult-to-machine alloys having higher strength, hardness, toughness and other diverse material properties. Generation of complex shapes in such materials by the traditional machining processes is experienced to be difficult. For effective utilization of the capabilities of different NTM processes, careful selection of the most suitable process for a given machining application is often required. Selection of the best suited NTM process for a work material and shape feature combination requires the consideration of several criteria. In this paper, an analytic network process (ANP)-based approach is proposed to select the most appropriate NTM process for a given machining application taking into account the interdependency and feedback relationships among various criteria affecting the NTM process selection decision. To avoid the difficult and time consuming mathematical calculations of the ANP, a computer program i

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Author

Shaswata Das; Shankar Chakraborty

Publisher

Society of Manufacturing Engineers; Elsevier ; Elsevier BV (ISSN 0278-6125)

Published

2011

Language

EN

Field

Engineering (Physical Sciences)