• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1997년도 춘계학술대회 논문집
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• pp.6-11
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• 1997

In most machining operations, undesirable burr are formed on the edge of the workpiece adjacent to the machined surface. Such burrs are often the cause of various problems during automatic maching process. Therefore, it is very important to know characteristics of burr formation in maching process. This paper describes characteristic of exit burrs generated during miniature drilling process. In particular, the effect of spindle speed, feedrate and drill diameter on burr formaton is investigated. The result showed that exit burr height increased significantly with increasing feedrate.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.985-990
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• 1995

Recently, the development of high speed and high precision NC-lathe for piston head machining is needed for the complexity and diversity of the piston head shape used in automobile reciprocating engine. THe piston head has many complex shapes in the aspect of fuel economy, such as ovality, profile, double ovality and recess. Among them, for the maching of the over shape of 0.1~1mm the cutting tool should move periodically symchronized with the rotation of piston workpiece. The cutting tool feeed system must have high positioning accuracy for the precise machining, high speed for the fast maching and high dynamic stiffness for the cutting force. The linear brushless DC motor is used for satisfying these coditions. The ballbush guide and supporting guide using turcite is used for the guidance of the feed drive system. Linear encoder, digital servo ampllifer and controller are used for driving the motor. THis paper presents the design and simulation of the new tool feed system for noncircular machining.

• 대한가정학회지
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• 제35권5호
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• pp.177-194
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• 1997

This study attempts to explore urban married women's needs for consumer information contents. In addition, the causality of the needs for consummer information contents and related variables is investigated. Major findings are the following: (1) Respondents' need for information on“the product selection”and “the use and management”of the washing maching or hair dryer is high, while the in need for the information on“the existing brands”is very low. (2) Among several relevent characteristics, respondents' product involvement is strongly related to the needs for consumer information contents. (3) The results of the analysis of casual model from washing maching showed that respondents' age, purchasing experience, perception of the price dispersion and quality difference, self confidence in the product evaluation affect on the need for consumer information contents directly. While respondents' income and education level show a indirect effect. (4) The results of the analysis of causal model from hair dryer showed that respondents' perception of the price dispersion, quality difference and product complexity affect on the need for consumer information contents directly. While respondents' age, purchasing experience, self-confidence in the product evaluation show a indirect effects.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2004년도 춘계학술대회 논문집
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• pp.490-493
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• 2004

There is great difficulty in machine below 10 micrometers by conventional machining methods, such as micro-EDM. However, ultra micro machining using focused ion beam(FIB) is able to machine to 50 nanometers. Bie ＆ moulds techniques are better than one-to-one machining techniques in regards to production costs in the mass production of ultra size structures. Also, it is advantageous to machine die ＆ moulds to the 10 micrometers level by FIB technique rather than other techniques. It is difficult to machine the three dimensional machining, such as micro lens, using FIB system because of their machining characteristics. In this paper, three dimensional machining techniques were properly introduced, and also experiments showed effectiveness of their techniques.

• 대한기계학회논문집A
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• 제24권2호
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• pp.338-346
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• 2000

Although the net-shape molding of composites is generally recommended, molded composites are frequently required cutting or grinding due to the dimensional inaccuracy for precision machine elements . During the composite machining operations such as cutting and grinding, the temperature at the cutting point may increase beyond the allowed limit due to the low thermal conductivity of composites, which might degrade the matrix of composite. Therefore, in this work, the temperature at the cutting point during cut-off grinding of carbon fiber epoxy composites was measured. The cutting force and surface roughness were also measured to investigate the cut-off grinding characteristics of the composites. The experiments were performed both under dry and wet grinding conditions with respect to cutting speed and feed rate. From the experimental investigation, the optimal conditions for the composite cut-off grinding were suggested.

• 한국표면공학회지
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• 제29권5호
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• pp.371-378
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• 1996

An RF inductively coupled plasma (ICP) torch has been developed as a typical thermal plasma generator and reactor. It has been applied to various materials processings such as plasma flash evaporation, thermal plasma CVD, plasma spraying, and plasma waste disposal. The RF ICP reactor has been generally operated under one atmospheric pressure. Lately the characteristics of low pressure RF ICP is attracting a great deal of attention in the field of plasma application. In our researches of RF plasma applications, low pressure RF ICP is mainly used. In many cases, the plasma generated by the ICP torch under low pressure seems to be rather capacitive, but high density ICP can be easily generated by our RF plasma torch with 3 turns coil and a suitable maching circuiit, using 13.56 MHz RF generator. Plasma surface modification (surface hardening by plasma nitriding and plasma carbo-nitriding), plasma synthesis of AIN, and plasma CVD of BN, B-C-N compound and diamond were practiced by using low pressure RF plasma, and the effects of negative and positive bias voltage impression to the substrate on surface modification and CVD were investigated in details. Only a part of the interesting results obtained is reported in this paper.

• 한국기계가공학회지
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• 제20권5호
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• pp.27-34
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• 2021

This study analyzes machining characteristics and presents optimal cutting conditions by measuring the surface roughness, dimensional accuracy, and dimension straightness based on the feed rate after processing the inner diameter hall of SCM415 steel using an automatic CNC(Computerized Numerical Control) lathe. The testing material was cut using an 11.8 mm-diameter Chamdrill after mounting the 32 mm-diameter round bar on an automatic CNC lathe. The cut depth was set at 3 mm, and the cutting speed was fixed at 1500 rpm. The surface roughness, dimensional accuracy, and dimension straightness of 15 testings were measured by changing the feed rate to 0.05, 0.1, and 0.15 mm/rev, respectively. It was difficult to process more than 15 tests during the maching due to noise or break. Additionally, the optimum cutting of SCM415 steel showed excellent surface roughness in the 10^th and 11^th of testing at cutting speed and feed speed of 1500 rpm and 0.05 mm/rev, respectively. The dimensional accuracy was measured in three dimensions after drilling, which showed good results with an average range of 0.0138-0.0208 mm. Moreover, the lower the feed speed, the higher the accuracy. Additionally, the measurement results of the dimensional straightness showed that the straightness is the straightness was the best at the 1^th and 2^th cutting regardless of the feed speed.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.367-370
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• 2015

본 논문은 자동차 자율주행에 필요한 신호등 신호의 검출 성능을 개선시키는 방법을 제안한다. 일반적인 교통신호등 검출연구는 색상 임계치, 템플릿 매칭, 학습기 기반 등의 방법을 사용한다. 그러나 조도 차이로 인한 인식률 저하와 느린 처리속도 문제가 있다. 제안한 방법은 형태학적 전처리 후 검출마스크를 통해 교통신호등 영역검출 및 인식을 제안한다. 먼저 영상을 조도에 강건하게 하기 위해 입력 영상을 YCbCr로 변환하고, Y채널에서 수평에지 성분을 추출한다. 그 후 신호등의 형태학적 특징을 이용하여 영역을 검출한다. 마지막으로 색상을 이용하여 신호등을 검출한다. 제안 방법을 다양한 환경에서 적용하여 기존 알고리즘보다 검출율과 처리 속도가 향상되었음을 확인하였다.

• 스마트미디어저널
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• 제11권3호
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• pp.62-73
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• 2022

국내 아파트 매매가 예측에 관한 연구는 현재까지 지속적으로 수행되어 왔지만, 아파트 가격은 다양한 특성이 복합적으로 작용하기 때문에 예측하는데 어려움을 겪고 있다. 아파트 매매가를 예측하는데 앞서 정확도를 높이기 위해서는 주요 변수 선정 및 영향요인 분석이 무엇보다 중요하다. 이에 본 연구는 현재 꾸준한 상승률을 보이는 광주광역시를 대상으로 아파트 매매가에 영향을 주는 요인을 분석해보고자 한다. 이를 위해 6년간의 광주광역시 아파트 실거래가와 각종 사회적 요인 데이터를 토대로, 다중회귀분석, 랜덤 포레스트, 심층인공신경망 알고리즘을 적용하여 각 모델에서 주요 영향요인을 파악하였으며, 모델의 성능은 평균 제곱근 오차, 평균 절대 오차 그리고 결정계수를 통해 비교 분석하였다. 본 연구에서는 딥러닝의 일종인 심층인공신경망의 성능이 가장 우수함을 보였고, 매매가에 영향을 미치는 주요 요인으로 건축경과연수, 계약연도, 적용면적, 양도성예금증서, 주택담보대출금리, 선행지수, 생산자물가지수, 동행지수 등이 도출되었다.