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A Study on High-Precision CNC Tool Grinding System using Machine Vision
Hongseok youn,Minyang yang 한국생산제조학회 2005 한국생산제조시스템학회 학술발표대회 논문집 Vol.2005 No.10
In this research, CNC tool grinding system has been developed with open architectural PC-NC kernel. The developed 4 axis tool grinding system is motion-controlled by PC-based controller. To reduce the machining error, machine vision system is adopted. By using the various image processing algorithms, alignment and auto-setaup processes are achieved between grinding wheel and workpiece. Also, the resolution of machine vision system is improved 10-15 times with the process of image enhancement and noise reduction. In grinding mechanism, there exist numerous parameters especially in machining conditions and processes. It is a very hard work to decide the optimal machining parameters. In this work, to optimize the grinding conditions, the grinding force has monitored using hall sensor. Since the hall sensor signal from the spindle current represents the grinding force, the excessive grinding force occurred at comer could be stabilized by feed rate control. In grinding process, as the wheel wear is natural phenomenon with its self-sharpening action, it is exceedingly difficult to measure the wear width during grinding process. The tracking method was developed with machine vision system. This algorithm enables the system to measure the wear width during grinding process. It is very useful to compensate the wheel wear in real-time.
A Study on High-Precision CNC Tool Grinding System using Machine Vision
Hongseok youn,Minyang yang 한국생산제조학회 2005 한국공작기계학회 추계학술대회논문집 Vol.2005 No.-
In this research, CNC tool grinding system has been developed with open architectural PC-NC kernel. The developed 4 axis tool grinding system is motion-controlled by PC-based controller. To reduce the machining error, machine vision system is adopted. By using the various image processing algorithms, alignment and auto-setaup processes are achieved between grinding wheel and workpiece. Also, the resolution of machine vision system is improved 10-15 times with the process of image enhancement and noise reduction. In grinding mechanism, there exist numerous parameters especially in machining conditions and processes. It is a very hard work to decide the optimal machining parameters. In this work, to optimize the grinding conditions, the grinding force has monitored using hall sensor. Since the hall sensor signal from the spindle current represents the grinding force, the excessive grinding force occurred at comer could be stabilized by feed rate control. In grinding process, as the wheel wear is natural phenomenon with its self-sharpening action, it is exceedingly difficult to measure the wear width during grinding process. The tracking method was developed with machine vision system. This algorithm enables the system to measure the wear width during grinding process. It is very useful to compensate the wheel wear in real-time.
Self-Organizing Spectrum Breathing and User Association for Load Balancing in Wireless Networks
Hyea Youn Kim,Hongseok Kim,Yun Hee Cho,Seung-Hwan Lee IEEE 2016 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Vol.15 No.5
<P>In this paper, we develop a self-organizing mechanism for spectrum breathing and user association in cellular networks employing frequency reuse patterns. Specifically, our focus is on flow-level cell load balancing under spatially inhomogeneous traffic distributions. Our work adaptively changes the spectrum bandwidth of each base station (BS) so that spectrums of BSs breathe in and out in order to balance the loads of BSs. Spectrum breathing is further combined with delay-optimal user association for better load balancing. Our problem is challenging because the problem is not a convex optimization. To tackle the difficulty, we decouple spectrum breathing and user association and propose an iterative algorithm that always converges to a fixed point, which is possibly an optimal solution. We show that spectrum breathing dominates a family of a-optimal user association in cell load balancing. Surprisingly, the flow-level delay performance under spectrum breathing gets even better as spatial traffic distribution becomes unbalanced, which is not the case of a-optimal user association. Our extensive simulations confirm that spectrum breathing significantly improves the system performances: decreasing the delay more than 10 times or increasing the admittable traffic load by more than 125%. Furthermore, spectrum breathing outperforms full frequency reuse when spatial traffic distribution is inhomogeneous.</P>