scholarly journals ANALYSIS OF EXISTING MODELS AND DEVELOPMENT STRATEGIES FOR ELECTROCHEMICAL GRINDING PROCESS CONTROL (ECG)

2018 ◽  
Vol 57 (01) ◽  
pp. 38-45
Author(s):  
Boris Vladimirovich Bogutskiy ◽  
◽  
Sergei Mikhaylovich Bratan ◽  
Keyword(s):  
Process Control ◽  
Development Strategies ◽  
Grinding Process ◽  
Electrochemical Grinding

Modeling of Micro-Positioning System Using Direct Mapping and Polynomial Fit for Precision Grinding Process Control

2007 ◽  
Vol 329 ◽  
pp. 791-796
Author(s):  
S. Tse ◽  
Y. Gao
Keyword(s):  
Process Control ◽  
Experimental Studies ◽  
Piezoelectric Constant ◽  
Grinding Process ◽  
Modeling Error ◽  
Precision Grinding ◽  
Positioning Systems ◽  
Direct Mapping ◽  
Polynomial Fit ◽  
Command Signals

For micro-positioning systems using piezoelectric actuators for precision grinding process control, sinusoidal command signals will be used and will give additional problems in comparison with the commonly used step signals due to the hysteresis effects, which require a good modeling approach. In order to avoid the discontinuity problem in obtaining the values of the piezoelectric constant, a new approach of direct mapping with polynomial fit is proposed. Theoretical and experimental studies are conducted and comparative studies are made. Compared with the single polynomial approach, the proposed method of direct mapping with polynomial fit is able to reduce the modeling error to 12.5%, which is 6.5% lower, and the problems in obtaining the values of the piezoelectric constant are avoided. The proposed approach is shown advantageous. Further studies are necessary to significantly reduce the modeling error.

scholarly journals Grinding in Ball Mills: Modeling and Process Control

2012 ◽  
Vol 12 (2) ◽  
pp. 51-68 ◽  
Author(s):  
Vladimir Monov ◽  
Blagoy Sokolov ◽  
Stefan Stoenchev
Keyword(s):  
Process Control ◽  
Control Strategies ◽  
Grinding Process ◽  
Ball Mills ◽  
Modeling And Control ◽  
Energy Models ◽  
And Control

Abstract The paper presents an overview of the current methodology and practice in modeling and control of the grinding process in industrial ball mills. Basic kinetic and energy models of the grinding process are described and the most commonly used control strategies are analyzed and discussed.

scholarly journals Fuzzy In-process Control Plunge Grinding Techniques. Study on Intelligent Automation of Grinding Process. (1st Report).

1992 ◽  
Vol 58 (2) ◽  
pp. 313-318 ◽  
Author(s):  
Toshikatsu NAKAJIMA ◽  
Shinya TSUKAMOTO ◽  
Daisuke MURAKAMI ◽  
Katsuhiro KURATA
Keyword(s):  
Process Control ◽  
Grinding Process ◽  
Plunge Grinding

A Self-Tuning Based Fuzzy-PID Approach for Grinding Process Control

2003 ◽  
Vol 238-239 ◽  
pp. 375-382 ◽  
Author(s):  
Z. Yang ◽  
Y. Gao ◽  
D. Zhang ◽  
T. Huang
Keyword(s):  
Process Control ◽  
Grinding Process ◽  
Fuzzy Pid ◽  
Self Tuning

Research on slag grinding process control

2015 ◽  
Author(s):  
Duan Lian ◽  
Li Xiaoli ◽  
Wang Kang ◽  
Li Yang
Keyword(s):  
Process Control ◽  
Grinding Process
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