Decision criteria for optimum machining control

被引:0
作者
Department of Information Management, Yu Da College of Business, Miaoli County 361, Taiwan [1 ]
机构
[1] Department of Information Management, Yu Da College of Business
来源
J. Appl. Sci. | 2008年 / 10卷 / 1898-1904期
关键词
Calculus of variations; Material removal rate; Operations research;
D O I
10.3923/jas.2008.1898.1904
中图分类号
学科分类号
摘要
A DMC (Dynamic Machining Control) model to achieve the optimal control of Material Removal Rate (MRR) for a cutting tool undergoing the considerations of fixed tool life and maximum machining rate is introduced in this research. This study not only applies material removal rate dynamically into the DMC model, but also implements Calculus of Variations to comprehensively optimize the control of material removal rate. In addition, the optimal solution for the dynamic control of material removal rate is also provided Moreover, the comparison of DMC model and traditional machining model is fully discussed. Furthermore, the decision criteria for selecting the optimal solution of the machining model are presented. This study definitely generates the adaptive concept to dynamically control the material removal rate and provides the efficient tool to concretely optimize the profit of a cutting tool for operations research engineers in today's manufacturing with profound insight. © 2008 Asian Network for Scientific Information.
引用
收藏
页码:1898 / 1904
页数:6
相关论文
共 42 条
[41]   Multi-criteria decision making for evaluating a suitable MOO technique to improve the performance of AISI 1040 carbon steel and Ti-6Al-4V alloy [J].
Mohanty, Uttam Kumar ;
Krishna, Pahana Vamsi .
INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING, 2024, 15 (06)
[42]   Optimization-Based Hybrid Intelligent Model for Decision Making on Electrical Discharge Machining (EDM) Process of A6061/6%B4C and A6061/9%SiC Composite Materials [J].
Shyn, C. S. ;
Rajesh, R. ;
Anand, M. Dev .
CYBERNETICS AND SYSTEMS, 2023, 54 (06) :836-858