Intelligent computation techniques for process planning of cold forging

被引：0
作者：
N. Alberti
R. Di Lorenzo
F. Micari
R. Teti
P. Buonadonna
A. Manzoni
机构：
[1] University of Palermo,Department of Production Engineering
[2] Viale delle Scienze,Department of Materials and Production Engineering
[3] University of Naples “Federico II”,undefined
来源：
Journal of Intelligent Manufacturing | 1998年 / 9卷
关键词：
Cold forging; process planning; fuzzy logic; neural networks;
D O I：
暂无
中图分类号：
学科分类号：
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：6
相关论文
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