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IJAT Vol.11 No.2 pp. 242-250
doi: 10.20965/ijat.2017.p0242
(2017)

Paper:

Machining Process Evaluation Indices for Developing a Computer Aided Process Planning System

Kenta Koremura, Yuki Inoue, and Keiichi Nakamoto

Tokyo University of Agriculture and Technology
2-24-16 Naka-cho, Koganei, Tokyo, Japan

Corresponding author

Received:
July 27, 2016
Accepted:
January 30, 2017
Published:
March 1, 2017
Keywords:
process planning, CAPP system, multi-tasking machine tool, machining feature, process evaluation index
Abstract

In the manufacturing industry, there is an urgent need to shorten the manufacturing lead time of products. Therefore, optimizing process planning is essential to realize high efficiency machining. In this study, in order to develop a computer aided process planning (CAPP) system using previously proposed machining features, a prediction method for some process evaluation indices is proposed. Many candidates for the machining process exist, depending on the recognized machining features in a previous study. Therefore, by using these indices, operators can select a suitable process from among these candidates according to their ideas. Case studies of process planning are conducted to confirm that the operator’s strategy affects the selection of the machining process candidates. From the case study results, it is found that the proposed process evaluation indices have potential use in determining the machining process utilized, and are suitable for a flexible CAPP system of multi-tasking machine tools.

Cite this article as:
K. Koremura, Y. Inoue, and K. Nakamoto, “Machining Process Evaluation Indices for Developing a Computer Aided Process Planning System,” Int. J. Automation Technol., Vol.11, No.2, pp. 242-250, 2017.
Data files:
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Last updated on Dec. 11, 2018