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레이져 표면 경화 공정에서 신경회로망을 이용한 경화층 깊이 예측
우현구,조형석,한유희,Woo, Hyun Gu,Cho, Hyung Suck,Han, You Hie 한국정밀공학회 1995 한국정밀공학회지 Vol.12 No.11
In the laser surface hardening process the geometrical parameters, especially the depth, of the hardened layer are utilized to assess the integrity of the hardening layer quality. Monitoring of this geometrical parameter ofr on-line process control as well as for on-line quality evaluation, however, is an extremely difficult problem because the hardening layer is formed beneath a material surface. Moreover, the uncertainties in monitoring the depth can be raised by the inevitable use of a surface coating to enhance the processing efficiency and the insufficient knowledge on the effects of coating materials and its thicknesses. The paper describes the extimation results using neural network to estimate the hardening layer depth from measured surface temperanture and process variables (laser beam power and feeding velocity) under various situations. To evaluate the effec- tiveness of the measured temperature in estimating the harding layer depth, estimation was performed with or without temperature informations. Also to investigate the effects of coating thickness variations in the real industry situations, in which the coating thickness cannot be controlled uniform with good precision, estimation was done over only uniformly coated specimen or various thickness-coated specimens. A series of hardening experiments were performed to find the relationships between the hardening layer depth, temperature and process variables. The estimation results show the temperature informations greatly improve the estimation accuracy over various thickness-coated specimens.
조현덕(Hyun-Deog Cho),우현구(Hyun-Gu Woo),신용범(Yong-Bum Shin) 한국기계가공학회 2020 한국기계가공학회지 Vol.19 No.12
In this work, a study on the 5-axis machining of ball gear cam is conducted which is a continuation of reference [1]. The ball gear cam used in this study delivers motion in conjunction with the ball supported by the turret. Therefore, it requires carbonizing heat treatment and is usually completed using a 4-axis machining with a carbide ball end mill. If the nose part of the ball end mill is not allowed to participate in the machining, then CBN tools without the nose part can be used. However, machining of certain shapes can be carried out only by contacting the ball in some of the areas on either side which can improve the surface of the machining. This requires a 5-axis machining in order to maintain a constant angle for the processing path. Therefore, in this work, the 5-axis machining method is studied in order to maintain the direction of the cutter axis at a constant angle with the tangent direction of the curve-ball gear cam. Furthermore, the 5-axis machining program for the ball gear cam was developed and the machining experiment was completed and verified.
자동차 전장품 위치 변화에 따른 전자파 내성시험 교정방법에 관한 연구
배민관(Mingwan Bae),우현구(Hyun-Gu Woo),신재곤(Jaekon Shin),김성범(Sungbum Kim),안재성(Jaesung An),용기중(Geejoong Yong) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
According to revolutionary developments in automobile technologies, a variety of advanced vehicles - hybrid vehicle, hydrogen fuel-cell vehicle, electric vehicle, etc. - emerges recently. The safety is getting more important for developing automobiles. The electro-magnetic compatibility has to be assured since those advanced vehicles are equipped with various new electronic systems. Electro-magnetic compatibility tests, in general, consist of EMI (electro-magnetic interference) test and EMS (electro-magnetic susceptibility) test. We investigate the EMS or the immunity test method suggested in KMVSS (Korean Motor Vehicle Safety Standard), and propose more effective test methods.