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최기흥 한국안전학회 2018 한국안전학회지 Vol.33 No.1
Cause analysis of accidents associated with industrial machines and devices is essential to improve the effectiveness and the efficiency of industrial safety system in Korea. This study focuses on cause analysis of accidents associated with industrial machines and devices. In particular, analysis of abstracts of accidents which are written in descriptive format and, therefore, inherently unstructured and exhibits characteristics of big data is suggested and tested. Automatic analysis of such big data performed in this study reveals the consistent results with the manual analysis results in previous studies. Analysis results also suggest that incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations will guarantee more effective prevention of industrial accidents at the early stage of generation of danger.
최기흥 한국안전학회 2019 한국안전학회지 Vol.34 No.2
This study focuses on the evaluation of severity measures used for accidents associated with industrial machines and devices. In particular, duration of medical treatment, duration of work loss, number of deaths in an individual accident associated with industrial machines and devices are evaluated in various ways to assess the severity of the accident. The number of accidents with work loss of longer than 1 year as the severity measure and the number of accidents as the frequency measure appeared to be the most discriminating information and allow risk assessment based on these frequency and severity measures for grouping of industrial machines and devices. Results of such risk assessment further confirmed the re-classification of industrial machines and devices that are currently subject to safety certification (SC) and self-declaration of conformity (SDC) or selection of those machines and devices that are newly subject to SC and SDC.
소방용품의 강제인증을 위한 위험도평가 및 품목분류에 관한 연구
최기흥 한국안전학회 2009 한국안전학회지 Vol.24 No.6
This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.
최기흥,Choi, Gi Heung 한국안전학회 2012 한국안전학회지 Vol.27 No.6
This study focuses on the benefit-cost analysis of certification of more than eight hundred devices and equipments used primarily in farm work. Specifically, EPA-suggested averting behavior approach was used for the analysis. Cost-benefit analysis indicates that there will be a net cost of 30 billion won for the first year since the introduction of the certification system. It is expected, however, that net benefit of 568 billion won after 11 years and the accumulated net benefit will reach to 3,867 billion won. These results validate the introduction of safety certification systems for devices and equipments used in farm work sites.
산업용 기계 제조자와 사용자 대상 직접규제의 균형과 실효성 분석
최기흥 한국안전학회 2015 한국안전학회지 Vol.30 No.1
This study first addresses the ineffectiveness of indirect regulation on industrial machines. Analysis of causes of industrialaccidents associated with industrial machines further reveals the fact that technical causes need to be resolved at the manufacturingstage to reduce the frequency and strength of industrial accidents. Balanced safety certification on manufacturers and safety inspectionon users of industrial machines are then suggested to effectively resolve such technical causes. The effectiveness of such safetycertification and safety inspection can be justified by cost-benefit analysis. Particularly, balance in expected benefits of safetycertification and safety inspection is a key issue for validity of such analysis. The accumulated benefit-costs for press brake andportable sawing machine confirm the effectiveness of such safety system
자기추진 로타리 공구를 사용한 절삭에서 천이칩 형성에 관한 연구 - 실험에 의한 증명
최기흥,최기상,김정수 대한기계학회 1993 대한기계학회논문집 Vol.17 No.8
An experimental study to investigate the unconventional chip formation called triangulation of chip in cutting with a SPRT (self-propelled rotary tool) is performed using acoustic emission (AE) signal analysis. In doing that, a quantitative model of the AE RMS signal in triangulation with a SPRT is first developed. The predicted results from this model show good correlation between the AE RMS signal and the general characteristics of triangular chip formation. Then, effects of various process parameters such as cutting conditions (cutting speed, depth of cut, oblique angle and normal rake angle) and the work material properties on the chip formation in cutting with a SPRT are explored. Special attention is paid to the work material properties which are found to have significant effects on triangulation.
최기흥 한국안전학회 2012 한국안전학회지 Vol.26 No.6
This study focuses on the benefit-cost analysis of certification of more than eight hundred devices and equipments used primarily in farm work. Specifically, EPA-suggested averting behavior approach was used for the analysis. Cost-benefit analysis indicates that there will be a net cost of 30 billion won for the first year since the introduction of the certification system. It is expected, however, that net benefit of 568 billion won after 11 years and the accumulated net benefit will reach to 3,867 billion won. These results validate the introduction of safety certification systems for devices and equipments used in farm work sites
다구찌방법을 이용한 사출성형공정의 신경회로망 모델링에 관한 연구
최기흥,유병길,홍태민,이경돈,장낙영,Choe, Gi-Heung,Yu, Byeong-Gil,Hong, Tae-Min,Lee, Gyeong-Don,Jang, Nak-Yeong 대한기계학회 1996 大韓機械學會論文集A Vol.20 No.3
Computer Integrated Manufacturing(CIM) requires models of manufacturing processes to be implemented on the computer. These models are typically used for determining optimal process control parameters or designing adaptive control systems. In spite of the progress made in the mechanistic modeling, however, empirical models derived from experimental data play a maior role in manufacturing process modeling. This paper describes the development of a meural metwork medel for injection molding. This paper describes the development of a nueral network model for injection molding process. The model uses the CAE analysis data based on Taguchi method. The developed model is, then, compared with the traditional polynomial regression model to assess the applicabilit in practice.