CONTROL STRATEGY OF CONSTANT MILLING FORCE SYSTEM AND METAL REMOVAL RATE MAXIMIZION

被引:0
|
作者
Cus, Franc [1 ]
Balic, Joze [1 ]
Zuperl, Uros [1 ]
机构
[1] Univ Maribor, Fac Mech Engn, Smetanova 17, SLO-2000 Maribor, Slovenia
来源
ICINCO 2010: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1 | 2010年
关键词
Adaptive Force Control; Neural Control Scheme; Machining; End-milling; CUTTING CONDITIONS; OPTIMIZATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An adaptive control system in conjunction with off-line optimization is built which controlling the cutting force and maintaining constant roughness of the surface being milled by digital adaptation of cutting parameters. In this way it compensates all disturbances during the cutting process: tool wear, non homogeneity of the workpiece material, vibrations, chatter etc. The basic adaptive control design is based on the control scheme (UNKS) consisting of two neural identificators of the process dynamics and primary neural regulator.
引用
收藏
页码:265 / 268
页数:4
相关论文
共 16 条
  • [11] A Feedback Control Sensing System of an Electrorheological Brake to Exert a Constant Pressing Force on an Object
    Spotowski, Tomasz
    Osowski, Karol
    Musialek, Ireneusz
    Olszak, Artur
    Kesy, Andrzej
    Kesy, Zbigniew
    Choi, SeungBok
    SENSORS, 2023, 23 (15)
  • [12] Influence of End Milling Process Variables on Material Removal Rate and Surface Roughness of Direct Metal Laser Sintered Inconel 718 Plate
    Parthasarathi, N. L.
    Veeman, Dhinakaran
    Dhamodharan, Duraisami
    Borah, Utpal
    Ravichandran, M.
    Natrayan, L.
    Mammo, Wubishet Degife
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2022, 2022
  • [13] Improvement of cutting force and material removal rate for disc milling TC17 blisk tunnels using GRA-RBF-PSO method
    Zhang, Nan
    Shi, Yaoyao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2019, 233 (16) : 5556 - 5567
  • [14] Multi-objective optimization of machining factors on surface roughness, material removal rate and cutting force on end-milling using MWCNTs nano-lubricant
    Okokpujie, I. P.
    Ohunakin, O. S.
    Bolu, C. A.
    PROGRESS IN ADDITIVE MANUFACTURING, 2021, 6 (01) : 155 - 178
  • [15] Multi-objective optimization of machining factors on surface roughness, material removal rate and cutting force on end-milling using MWCNTs nano-lubricant
    I. P. Okokpujie
    O. S. Ohunakin
    C. A. Bolu
    Progress in Additive Manufacturing, 2021, 6 : 155 - 178
  • [16] Development of a feed rate adaption control system for high-speed rough and finish end-milling of hardened EN24 steel
    Saikumar, S.
    Shunmugam, M. S.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 59 (9-12) : 869 - 884