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파우더 블라스팅에 의한 유리가공시 실험계획법에 의한 재료 제거량 및 표면 거칠기 예측모델에 관한 연구
김권흡(Jin quan-qia),성은제(Eun Je Seong),한진용(Jin Yong Han),박동삼(Dong Sam Park),유우식(Woo Sik Yoo) 한국생산제조학회 2006 한국생산제조학회지 Vol.15 No.2
The old technique of sandblasting which has been used for paint or scale removing, deburring and glass decorating has recently been developed into a powder blasting technique for brittle materials, capable of producing micro structures larger than 100㎛. In this paper, we studied on the predictive modeling of material removal and surface roughness μ in powder blasting of glass by design of experiments. The surface characteristics and surface shape of powder blasted glass surface were tested under different blasting parameter. Finally, we proposed a predictive model for powder blasting process, and compared with experimental results.
Powder Blasting을 이용한 교차구멍의 내부 모서리 디버링
박동삼(Dong-Sam Park),한진용(Jin-Yong Han),성은제(Eun-Je Seong),한일용 한국기계가공학회 2006 한국기계가공학회 춘추계학술대회 논문집 Vol.2006 No.-
Burr generation in intersection hole drilling causes serious problems. These burrs must be removed to make fluid flow smoothly, to improve fatigue life or to prevent injury. Despite the full or partial automation of FMC or FMS, deburring operations to obtain workpiece with fine surface quality are difficult to be automated since the generation and conditions of burr are not constant. This study focused on developing deburring technique for intersection hole in small solenoid valve parts. The successful performance was demonstrated by deburring experiment using the powder blasting.
신경회로망 및 반응표면분석법을 이용한 파우더 블라스팅시의 표면거칠기 및 재료제거량 예측
박동삼(Dong-Sam Park),유우식(Woo-Sik Yoo),김권흡(Quan-Qia Jin),성은제(Eun-Je Seong),한진용(Jin-Yong Han) 한국기계가공학회 2007 한국기계가공학회지 Vol.6 No.1
Powder blasting technique has been considered one of the most appropriate micro machining methods for hard and brittle materials, since the productivity is high and the heat layers caused by material removal are very thin. Recent development of special purposed parts, such as the parts for semiconductor processing, the parts for LCD, sensors for micro machine fabrication and so on, has been expanded. Thus, it is essential to develop powder blasting technologies for micromachining of hard and brittle materials such as glass, ceramics and so on. In this paper, the characteristics of powder blasted glass surface were tested under various blasting parameters. Finally, we proposed a predictive model for powder blasting process using the neural network and the response surface method. Detail analysis of the simulation results is carried out and the performance of two predictive models is compared.