Author:
Maki K. Rashid
Affiliation:
Sultan Qaboos University, Oman
Keyword(s):
Cognitive Chips, Piezoelectric Switching, Vibration Attenuation, Smart Structure, Machining Errors.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Design and Manufacturing
;
Machine Learning in Control Applications
;
Mechatronics Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Machining is a complex process that requires a high degree of precision with tight geometrical tolerance and surface finish. Those are confronted by the existence of vibration in the turning machine tool. Overcoming a micro level vibration of a cutting tool using smart materials can save old machines and enhance development in designing new generations of machine tools. Using smart materials to resolve such problems represent one of the challenges in this area. As a continuation from previous work for the transient solution for a tool tip displacement using pulse width modulation (PWM) technique that was implemented for smart material activation to compensate for radial disturbing cutting forces. A Fuzzy algorithm is developed to control the actuator voltage level to improve dynamic performance. Such technique together with the finite element method as dynamic model proved a great successfulness. To implement such results in real life industrial system we may use chips that mimic h
uman brain as developed recently by IBM which is intelligent to learn through incidents, find patterns, generate ideas and understand the outcomes to reduce tool vibration error.
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