General Strategies in Developing Alloy Steel Fuzzy Model for Machinability Data Selection of Turning Process
In this paper, several fuzzy models have been proposed for machinability data selection of turning process of alloy steel. The selection of the machinability data is a crucial task, and normally done by the skilled machinists. Thus, fuzzy models-have been suggested for predicting the optimum mach...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universiti Putra Malaysia Press
2004
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| Online Access: | http://psasir.upm.edu.my/id/eprint/3666/1/General_Strategies_in_Developing_Alloy_Steel_Fuzzy_Model.pdf |
| Summary: | In this paper, several fuzzy models have been proposed for machinability data selection
of turning process of alloy steel. The selection of the machinability data is a crucial task,
and normally done by the skilled machinists. Thus, fuzzy models-have been suggested for
predicting the optimum machinability data, which are cutting speed and feed rate. These
fuzzy models are developed based on the relationship of two-input (material hardness
and depth of cut) and two-<>utput (cutting speed and feed rate). A few general strategies
in developing fuzzy models are presented and discussed in this paper. Generally, there
are three different strategies that are suggested in this paper. The objective of implementing
these strategies is to simplify the process of fuzzy model development. The predicted
cutting speed and feed rate are compared with the data obtained from the Machining
Data Handbook (Metcut Research Associate 1980) and a good correlation has been
shown throughout the comparison. |
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