By Xiaoqi Chen, Rajagopalan Devanathan, Aik Meng Fong
This quantity offers the editors' study in addition to comparable findings at the functions of contemporary applied sciences in electric and digital engineering to the automation of a few of the typical production approaches that experience generally been dealt with in the mechanical and fabric engineering disciplines. specifically, the textual content contains the most recent learn effects completed via utilized learn and improvement initiatives during the last few years on the Gintic Institute of producing expertise, Singapore. It discusses complicated automation applied sciences similar to in-process sensors, laser imaginative and prescient platforms, and laser strobe imaginative and prescient, in addition to complicated strategies akin to sensory sign processing, adaptive approach regulate, fuzzy common sense, neural networks, specialist platforms, laser processing regulate, and so forth. The methodologies and methods are utilized to a few very important fabric processing purposes, together with grinding, sharpening, machining, and welding. functional automation options, that are complex through half distortions, instrument put on, technique dynamics, and versions, are defined.
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Additional resources for Advanced Automation Techniques in Adaptive Material Processing
To achieve intelligent adaptive material processing, the architecture of CNC must be organised in such a way that it allows real-time manipulation of the machine tool's operating conditions. It demands open-architecture CNC systems that facilitate modular design and integration of userdeveloped sensor-fused real-time application programs into the machine tool controller. Open architecture control systems allow the most suitable components from different vendors to be integrated harmoniously and seamlessly.
V Figure 5 Experimental set-up for grinding test. Figure 5 shows the experimental set-up of the grinding test. The grinding wheel is mounted on a pneumatic rig, which has an upward pressure and a downward pressure. The contact force between the grinding wheel and workpiece is determined by the differential air pressure of the two cylinders as follows: F = (Pup-Pdom)A-W (1) where F is the contact force, Pup the upward air pressure, Pdown the downward air pressure, A the surface of the piston, and Wthe weight of the grinding motor and the grinding wheel.
The contact force between the grinding wheel and workpiece is determined by the differential air pressure of the two cylinders as follows: F = (Pup-Pdom)A-W (1) where F is the contact force, Pup the upward air pressure, Pdown the downward air pressure, A the surface of the piston, and Wthe weight of the grinding motor and the grinding wheel. 0 Kgf/cm2. 4 Kgf/cm 2 . • Wheel rotation speed: 7546 rpm. 4 mm. 4 mm. 4 mm. The test results are shown in Table 4. 15 grams per minute. 15 g/min). For one workpiece, the total amount of material to be removed is about 45 grams.
Advanced Automation Techniques in Adaptive Material Processing by Xiaoqi Chen, Rajagopalan Devanathan, Aik Meng Fong