By Xiaoqi Chen, Rajagopalan Devanathan, Aik Meng Fong
This quantity offers the editors' study in addition to similar findings at the purposes of recent applied sciences in electric and digital engineering to the automation of a few of the typical production methods that experience characteristically been dealt with in the mechanical and fabric engineering disciplines. specifically, the textual content comprises the most recent examine effects accomplished via utilized study and improvement initiatives during the last few years on the Gintic Institute of producing know-how, Singapore. It discusses complicated automation applied sciences resembling in-process sensors, laser imaginative and prescient platforms, and laser strobe imaginative and prescient, in addition to complex ideas equivalent to sensory sign processing, adaptive method keep an eye on, fuzzy good judgment, neural networks, professional platforms, laser processing regulate, and so on. The methodologies and methods are utilized to a few very important fabric processing purposes, together with grinding, sharpening, machining, and welding. sensible automation ideas, that are advanced by means of half distortions, software put on, method dynamics, and versions, are defined.
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Extra info for Advanced Automation Techniques in Adaptive Material Processing
Modern communication networks enable economical and fast data communication from sensors to the controller. With the recent advances in computer and sensor technology, combining sensors with an open architecture PC-based CNC machine tool controller becomes more viable. Simple sensors, such as tool breakage monitors, are already part of a machine tool control system. 3D vision systems and image processing techniques are being studied to perform in-cycle part measurement as well as tool flank wear monitoring.
In a fixed tool head polishing system, the contact force depends on the physical characteristics of the contact wheel and the belt, and the robot endeffector displacement. The force control can be realised by controlling the vertical movement of the workpiece against the contact wheel. However, 32 X Q Chen, Z M Gong, H Huang, S Z Ge, and L B Zhou further studies show that the force control stability cannot be easily achieved. One reason is that the wheel stiffness is not constant over the desired displacement range.
References 1. Chen, X. , Gong, Z. , and Huang, H. "Development of adaptive robotic system for 3D profile grinding / polishing", Gintic Technical Report AT/00/012/AMP, 2000. 2. , and Wildermuth, D. "In-process monitoring through acoustic emission sensing", Gintic Technical Report AT/01/014/AMP, 2001. 3. P. "Development of a closed-loop through-the-arc sensing controller for seam tracking in gas metal arc welding", Gintic Technical Report AT/00/013/AMP, 2000. 4. , and Wang, J. "Intelligent robotic GTAW system for 3D welding", Gintic Technical Report AT/01/013/AMP, 2001.
Advanced Automation Techniques in Adaptive Material Processing by Xiaoqi Chen, Rajagopalan Devanathan, Aik Meng Fong
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