New Approaches for the Determination of Specific Values for Process Models in Machining Using Artificial Neural Networks

被引：16

作者：

Arnold, F. ^{[1
]}

Haenel, A. ^{[1
]}

Nestler, A. ^{[1
]}

Brosius, A. ^{[1
]}

机构：

[1] Tech Univ Dresden, Inst Mfg Technol, Chair Forming & Machining Proc, Mommsenstr 13, D-01062 Dresden, Germany

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

process data; Process forces; cutting force model; milling; data collection; artificial neural networks;

D O I：

10.1016/j.promfg.2017.07.277

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The acceptance of the use of mathematical models for the determination of process forces in machining is directly dependent on the quality of the used characteristic values. The approach of an automated data acquisition without the need of an additional force measuring system in the cutting machine is one possibility of a broader application. For the 2.5D milling process, a concept to determine the specific cutting forces k(c) by recording dynamic process data were developed. The specific values are further processed into an artificial neuronal network (ANN) with the aim to learn it. (c) 2017 The Authors. Published by Elsevier B.V.

引用

页码：1463 / 1470

页数：8