Paper Information

Journal:   JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)   December 2003 , Volume 37 , Number 3 (81); Page(s) 413 To 425.
 
Paper: 

THE USE OF FUZZY LOGIC THEORY FOR SELECTING AN APPROPRIATE TOOL STEEL

 
 
Author(s):  TOUUHIDI N., TAVAKOLI MOGHADAM R., VAHDAT S.E.
 
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Abstract: 

Material selection of tool steels for satisfying the customers needs is not limited to one type of steel. In fact, each customer expresses his or her needs in a specific range. On the other hand, technical specifications of tool steels are not absolute and it consistently deviates from the mean. Therefore in this paper, fuzzy logic theory has been used for selecting appropriate tool steels. The main steps follow as:
1)Four technical features have been used for selecting tool steels: untreated hardness, hardness after heat treatment, maximum work temperature and toughness, and price variable.
2)Technical features and prices of tool steels manufactured in Iran were obtained from manufacturers.
3)The mean and standard deviation of some technical features were calculated.
4)Membership functions for the a.m. technical features and prices have been defined and established.
5)The tool steels were rated according to the amount of their favourability to customers.
6)Customers desirable tool steels were determined by using fuzzy logic theory. Finally, the appropriate tool steels were selected for customers.
In this paper, in addition to formulate the tool steel selection, the possibility of reducing a variety of tool steels for manufacturers was also provided which the associated result leads to the decrease in the total cost of tool steels for the manufacturer.

 
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References: 
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