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"Multi-channel kernel control"

Article
Open Controller Technology for the Process Monitoring of CFRP Machining
In Hugh Choi, Keyong Hoon Lee
J. Korean Soc. Precis. Eng. 2019;36(1):19-28.
Published online January 1, 2019
DOI: https://doi.org/10.7736/KSPE.2019.36.1.19
Since becoming highly functional, complex and flexible, the machining system of CFRP(Carbon Fiber Reinforced Plastic) has recently become highly functional, complex and flexible, its has its controllers are changing into open and distributed structures. These, and need controlling to be controlled to maintain good quality of for a quality of machined parts. In particularSpecifically, an open controller is required urgently needed to apply the optimal processing program for each material and development of embedded SW, which enables after-production of CFRP, CFRP-metal stack material, waterjet processing, inspection, and modification. As theThe characteristics of CFRP materials may create processing defects such as stratified material stripping and un-cut., a A process monitoring module that can minimize or prevent the defects this technology needs to should be applied to hence reducinge tool wear causedthrough by high hardness carbon fiber. Since CFRP is mostly made from additive forming, there are many drilling processes, that require precision measurement techniques and process signal monitoring technology, exist. Tsince the cutting force load and various signals generated during processing are weaker than those during metal processing. An open controller for process control and monitoring of a CFRP processing system was therefore developed. The system will then It is going to develop open controller SW structural design and open platform, multi-channel signal processing algorithm and sensor system, process specific functions (CFRP process control, boundary detection, etc.) and mount drilling tool parent monitoring algorithm on open platform.

Citations

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  • Comparative Analysis and Monitoring of Tool Wear in Carbon Fiber Reinforced Plastics Drilling
    Kyeong Bin Kim, Jang Hoon Seo, Tae-Gon Kim, Byung-Guk Jun, Young Hun Jeong
    Journal of the Korean Society for Precision Engineering.2020; 37(11): 813.     CrossRef
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