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
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
相关论文
共 19 条
[1]  
ALBERTI N, 1995, 2 AITEM C PAD 18 20, P21
[2]  
Alberti N., 1991, ANN CIRP, V40, P295
[3]  
BARCELLONA A, 1993, 30 INT MATADOR MACH, V2, P361
[4]  
BARCELLONA A, 1993, 3 INT C ADV MAN SYST, V2, P137
[5]  
BARIANI P, 1988, ANN CIRP, V37, P243
[6]   RULE BASED MODELING FOR PLANNING AXISYMMETRICAL DEEP-DRAWING [J].
ESHEL, G ;
BARASH, M ;
JOHNSON, W .
JOURNAL OF MECHANICAL WORKING TECHNOLOGY, 1986, 14 (01) :1-115
[7]  
Fahlman S.E., 1988, An Empirical Study of Learning Speed in Back-Propagation Networks
[8]  
GOKLER MI, 1982, 22 INT MATADOR MACH, P457
[9]  
GULEY N, 1995, FUZZY LOGIC TOOLBOX
[10]  
Hertz J., 1991, Introduction to the Theory of Neural Computation