Intelligent computation techniques for process planning of cold forging

被引：7
|
作者：
Alberti, N
Di Lorenzo, R
Micari, F
Teti, R
Buonadonna, P
Manzoni, A
机构：
[1] Univ Palermo, Dept Prod Engn, I-90128 Palermo, Italy
[2] Univ Naples Federico II, Dept Mat & Prod Engn, I-80125 Naples, Italy
来源：
JOURNAL OF INTELLIGENT MANUFACTURING | 1998年 / 9卷 / 04期
关键词：
cold forging; process planning; fuzzy logic; neural networks;
D O I：
10.1023/A:1008982910847
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, two artificial intelligence (AI) techniques were applied to the problem of process planning in multiple-blow cold forging. Given the reduction in area of the product to be forged and the degree of formability of the material, in the first application a fuzzy logic (FL) technique was used to discriminate whether or not a cold forged product was feasible in a single blow. In the second application, a neural network (NN) architecture was used to identify the correct number of blows necessary to complete the cold forging process.
引用
收藏
页码：353 / 359
页数：7
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