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이흥국(H.G. Lee),유송민(S.M. Yoo),이위로(W.R. Lee),이동규(D.K. Lee),노대호(D.H. Ro),박환서(H.S. Park) 한국생산제조학회 2005 한국공작기계학회 추계학술대회논문집 Vol.2005 No.-
The purpose of this study is to introduce the standard of the Performance and evaluation method for Multi Ball Bearing Slide Rail. The major evaluation criteria include deformation (for durability test). Due to the difficulties in assessing the deformation of each slides directly, performance of the whole rail was analized. From finite element analsys and beam theroy, deformation of the multi ball bearing slide rail was evaluated. The evaluation method is shown for the performance of the static deformation and pulling force of the Multi Ball Bearing Slide Rail.
신경망을 이용한 수치제어공작기계 진원도 예측에 대한 연구
이홍국(H. G. Lee),유송민(S. M. Yoo),박환서(H. S. Park),노대호(D. H. Roh) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
This study is to predict the roundness of Numerical Control Machining Tool and set up a displacement error database so that helps the operator to choose the right machining conditions to produce a product within the given error limits. Principles of learning of neural network is mostly based in Backpropagation Theory. From this study. the base was set to setup the database to produce precisely machined product by predicting the rate of error in the fabrication facility which does not have the environment to analyze it.
박환서,유송민,이동규,이위로,노대호 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-
A machining processes for flange panel has been introduced. Contrary to the conventional methods like Y forming and welding, roll-seaming method has been utilized for better quality and less cost. Several measurement methods including digital image processing have been used to confirm the product quality assurance.
박환서,이홍국,노대호,박용배,유송민 한국공작기계학회 2008 한국공작기계학회 춘계학술대회논문집 Vol.2008 No.-
The purpose of this study is to enhance the gear tooth machining process outcome by identifying the correlation between the product qualityand machining condition. A surface profilometer exclusively used for tracing and extracting key characteristic parameters from the gear tooth surface profile is facilitated. In order to replicate the professional gear tooth machining process, a cylindrical grinding machine was used. Separate approaches using two types of surface roughness measurement machines are introduced to characterize the product surface. Tentative results revealed that chatter could be observed in higher cutting speed or in poor gripper condition. A neural network tool was used to define optimal process condition area for best process output quality.