• 대한기계학회논문집A
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• 제37권3호
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• pp.313-318
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• 2013

전자기력을 이용한 자기연마 공정은 전통적 가공방식으로 버를 제거하기 힘든 비자성체의 소재 및 마이크로 형상의 가진 제품에 활용될 수 있는 새로운 정밀 디버링 방식이다. 그러나 이러한 자기연마법은 자기연마입자를 이용한 기계적 절삭력을 이용하고 있기 때문에 마이크로 단위의 구조물의 형상을 변형시킬 가능성이 높다. 따라서 본 연구에서는 탄소나노튜브-코발트 금속복합체를 이용한 전해-자기복합가공을 STS316 소재의 미세 그루브의 마이크로 디버링공정에 적용하고 그 특성을 분석하였다. 그 결과 자기연마공정을 적용한 공정에서는 공정 후 그루브에 생성된 버는 효율적으로 제거되었으나 그루브 끝단의 형상변화가 두드러지게 관찰되었다. 반면 전해-자기복합가공을 이용한 경우에는 재료제거율이 낮아 그루브 끝단의 형상변화 없이 디버링 공정이 진행됨을 확인하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1294-1298
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• 2005

In this study, combined micro press and surface finishing process are proposed to fabricate the micro nozzle array on a stainless steel sheet metal. In micro hole punching process the burr occurs inevitably, but the burr must be minimized in order to improve the quality and accuracy of the product. For this reason, subsequent magnetic field-assisted finishing technique is applied to remove the burr which exists around the nozzles for ink-jet printer head and proved to be a feasible for deburring by experiment. The deburring characteristics of sheet metals were investigated changing with polishing time and magnetic abrasive size. After the deburring, the burr size has remarkably reduced and roundness of the hole also has improved.

• 대한기계학회논문집A
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• 제33권5호
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• pp.514-520
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• 2009

In configuring an automated polishing system, a monitoring scheme to estimate the surface roughness is necessary. In this study, a precision polishing process, magnetic abrasive finishing (MAF), along with an in-process monitoring setup was investigated. A magnetic tooling is connected to a CNC machining to polish the surface of stavax(S136) die steel workpieces. During finishing experiments, both AE signals and force signals were sampled and analysed. The finishing results show that MAF has nano scale finishing capability (upto 8nm in surface roughness) and the sensor signals have strong correlations with the parameters such as gap between the tool and workpiece, feed rate and abrasive size. In addition, the signals were utilized as the input parameters of artificial neural networks to predict generated surface roughness. Among the three networks constructed -AE rms input, force input, AE+force input- the ANN with sensor fusion (AE+force) produced most stable results. From above, it has been shown that the proposed sensor fusion scheme is appropriate for the monitoring and prediction of the nano scale precision finishing process.

• 한국안전학회지
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• 제16권3호
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• pp.35-40
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• 2001

An internal finishing process applying Magnetic Abrasive Finishing (MAF) was proposed to produce smooth inner surfaces of tubes at a high rate. Since this process uses the tube rotation system, it has been considered applicable only to tubes which are rotatable at high speeds. Here development of the stainless tube(STS 304) rotation system to extend the scope of the application of the internal finishing process applying MAF was made. By the stainless tube(STS 304) rotation system, the abrasive magnetically attracted by the poles is rotated along the inner surface of the tube by magnetic force together with fixed poles, finishing the inner surface of the tube. The main results obtained are as follows : 1) The magnet abrasive finishing minimized influence due to external force because non-contact finishing, 2) The profile of surface roughness decreased very good in 11.4m/min range because abrasive size and speed, 3) The profile of surface roughness by flux density decreased in finishing speed 28m/min, 4) The profile of surface roughness by fled rate decreased in 0.16mm/rev and 0.18mm/rev.