| Abstract
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2039 |
| Title |
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Synthesis of the Intelligent Sensing System Using Current Signals for Manufacturing Systems |
| Category |
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Equipment, Machines & Instruments: Analysis & Modeling |
| Primary
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| Organization |
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| Content |
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In order to make unmanned manufacturing environment, intelligent manufacturing systems linked with IT technology are required. Actuators assisted with intelligent sensors are indispensable to develop intelligent machines. As the manufacturing system is actuated by motors, control signals of motors are able to be used to develop the intelligent sensors.
In this paper, firstly, the realtime estimation of cutting depth in end milling processes using cutting forces is studied through kinematic modeling of cutting forces according to cutting conditions. To increase accuracy and expedite the estimation process of specific cutting forces, a two-axis circular cutting method is devised. Secondly, cutting force estimation method through current signals in end milling processes is constructed from mathematical models of actuating subsystems and current signals obtained from the machine tool. Cutting torque of the spindle system, and feed and normal cutting forces are estimated accurately without additional sensors. Finally, relationships between cutting forces and depth of cuts in end milling process are derived from the above two results. Using the realtime estimation results of cutting forces and depth of cuts, tool deflection and workpiece deflection errors, friction estimation, and condition monitoring of machine tools are available. Intelligent sensing systems are developed through current measurement without additional sensors.
Static and dynamic sensitivities, time constant, bandwidth, and accuracy of the developed intelligent sensing system is verified through experiments. Performance of the developed intelligent sensing system is confirmed through various kinds of end milling tests. |
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