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Growing Science » Decision Science Letters » A decision-making model for non-traditional machining processes selection

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 3 Issue 4 pp. 467-478 , 2014

A decision-making model for non-traditional machining processes selection Pages 467-478 Right click to download the paper Download PDF

Authors: Kanika Prasad, Shankar Chakraborty

Keywords: Decision making, Expert system, Non-traditional machining process, Quality function deployment

Abstract: Non-traditional machining (NTM) refers to a variety of thermal, chemical, electrical and mechanical material removal processes, developed to generate complex and intricate shapes in advanced engineering materials with high strength-to-weight ratio. Selection of the optimal NTM process for generating a desired feature on a given material requires the consideration of several factors among which the type of the work material and shape to be machined are the most significant ones. Presence of a large number of NTM processes along with their complex characteristics and capabilities, and lack of experts in NTM process selection domain compel for development of a structured approach for NTM process selection for a given machining application. Thus, the objective of this paper is set to develop a decision-making model in Visual BASIC 6.0 to automate the NTM process selection procedure with the help of graphical user interface and visual decision aids. It is also integrated with quality function deployment technique to correlate the customers’ requirements (product characteristics) with technical requirements (process characteristics). Four illustrative examples are also provided to demonstrate the potentiality of the developed model in solving NTM process selection problems.

How to cite this paper
Prasad, K & Chakraborty, S. (2014). A decision-making model for non-traditional machining processes selection.Decision Science Letters , 3(4), 467-478.

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Journal: Decision Science Letters | Year: 2014 | Volume: 3 | Issue: 4 | Views: 2428 | Reviews: 0

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