• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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• pp.8-13
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• 2001

In the turning process, the feed is usually selected by a machining operator considering workpiece, cutting tool and depth of cut. Even if this selection can avoid power saturation or tool breakage, it is usually conservative compared to the capacity of the machine tools and can reduce the productivity significantly. This paper proposes a selection method of the feed and the reference cutting force based on MRR(material removal rate), maximum spindle power and specific energy. In order to estimate and control cutting force accurately in transient and steady state, this study utilizes a synthesized cutting force estimation method and a Fuzzy controller. The experimental results present that these systems can be useful for the FMS(flexible manufacturing system) and unmanned automation system.

• Journal of Welding and Joining
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• 제12권3호
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• pp.71-81
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• 1994

Laser cutting is experiencing a rising worldwide acceptance in the industry. Expert systems are necessary for the systematic arrangement and searching of experimental data existing in journal papers, job handbooks, etc.. This paper proposes an expert system for the selection of the appropriate laser cutting variables from the available database. Optimum cutting conditions according to the given cutting velocity were searched and qualitative comments which are difficult to be used as database variables were shown at each velocity using the binary and fuzzy inference. These comments could be informative to unskilled operators of the laser cutting process. Typical cutting conditions of the mild steel and stainless steel were included and the working range and quality variations were displayed graphically. The proposed algorithm was implemented in an IBM compatible personal computer as an expert system for CO$_{2}$ laser cutting to derive the optimum cutting conditions by using the turbo prolog.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.569-574
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• 2002

As consumer's desire becomes various, agility of mold manufacturing is most important factor for competence of manufacturer. In common works to use commercial CAM system to generate tool path, some decision making process is required to produce optimal result of CAM systems, The paper proposes a methodology for computer-assisted tool selection procedures for various cutting type, such as rough, semi-rough and finish cuts. The system provides assist-tool-items for machining of design model part of injection meld die by analyzing sliced CAD model of die cavity and core. Also, the generating NC-code of the tool size is used to calculate machining time. The system is developed with commercial CAM using API. This module will be used for optimization of tool selection and planning process.

• 한국산림과학회지
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• 제99권1호
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• pp.136-143
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• 2010

본 연구는 강원도 평창지역의 천연 활엽수림을 대상으로 시간 경과에 따른 택벌림화 작업지의 임분밀도와 임목본수의 변화를 파악하고, 택벌림화 작업지에 적합한 무육방법을 제시함으로써 천연 활엽수림의 경영에 필요한 정보를 제공하고자 수행하였다. 임분밀도의 조절을 위해 임분밀도지수를 사용하여 매 5년 마다 ha당 흉고단면적의 10%, 12%, 그리고 14%를 제거하는 모의시업을 시행하였다. 그 결과 택벌림화 작업지를 목표로 하는 임분으로 유도하기 위해서는 30년 정도의 정리기가 필요할 것으로 판단하였다. 최종적으로 30년이 경과하는 시점까지 각 시나리오에 따른 무육을 거치는 동안 적정 임분밀도를 유지하면서 많은 재적을 확보할 수 있는 방법을 택벌림화 작업지에 적합한 무육방법으로 판단하였다. 모의시업의 결과 매회 ha당 흉고단면적의 10%를 제거하였을 경우에는 정리기동안 임분밀도지수가 적정 수준을 초과하는 것으로 분석되었다. 반면, 매회 12%와 14%를 제거하였을 경우에는 적정 임분밀도를 유지하는 것으로 나타났다. 하지만 최종 수확시의 경제성을 고려한 결과 흉고단면적의 12%씩을 제거하는 시업강도를 적용하는 것이 가장 적합한 무육방법으로 평가되었다.

• 오토저널
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• 제14권6호
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• pp.113-126
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• 1992

Recently the multi-kind, small-amount manufacturing system has been replacing the mass manufacturing system, and domestic machining inustry also is eager to absorb the new technology because of its high productivity and cost reduction. The optimization of the cutting condition has been a vital problem in the machining industry, which would help increase the productivity and raise the international competitiveness. It is intended in this study to investigate the machining costs per unit time which is essential to the analysis of the optimal cutting condition, to computer the cutting speed that lead to the minimum machining costs and the maximum production to suggest the cutting speed range that enables efficient speed cutting, and to review the machining economy in relation to cutting depth and feed. Also considered are the optimal cutting speed and prodution rated in rrelation with feed. It is found that the minimum-cost cutting speed increases and the efficient cutting speed range is reduced as machining cost per unit time increases since the cutting speed for maximum production remains almost constant. The machining cost is also lowered and the production rate increases as the feed increases, and the feed should be selected to satisfy the required surface roughness. The machining cost and production rate are hardly affected by the cutting depth if the cutting speed stays below 100m/min, however, they are subject to change at larger cutting depth and the high-efficient speed range also is restricted. It can be established an adaptive optimal cutting conditions can be established in workshop by the auto-selection progam for optimal operation. It is expected that this method for choosing the optimal cutting conditions might contribute to the improvement of the productivity and reduced the cost. It is highly recommended to prepare the optimal cutting conditionthus obtained for future use in the programing of G-function of CNC machines. If proper programs that automatically select the optimal cutting conditions should be developed, it would be helpful to the works being done in the machine shops and would result in noticeable production raise and cost reduction.

• 한국산업정보학회논문지
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• 제6권4호
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• pp.1-5
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• 2001

기존의 대부분 중소기업에서 사용하고 있는 공작기계의 절삭조건 선정방법은 공작기계, 절삭공구, 피삭재의 종류에 따라 절삭기사의 경험 또는 공구 메뉴얼의 권장값을 수작업으로 찾아서 이용하고 있는 실정이어서 절삭가공 비용의 증가가 따르게 되며, 특히 미숙련자가 현장에 배치될 경우는 이 문제는 더욱 일관성에서 멀어지게 된다. 이것은 결과적으로 가격 경쟁력을 약화시키는 요인이 되고 있다. 특히 CNC 공작기계가 주종을 이루는 경우는 NC 프로그래머가 공정계획에 따라 절삭작업공정을 프로그램 할 때 적정한 절삭변수들을 선정해주어야 하는데, 이 부분이 위에서 설명한 것처럼 수작업에 의해 탐색되어야 함으로 변수 선정의 부정확성은 물론 프로그래머에 따라 다르게 선택할 수 있게 되어 일관성이 결여된 선정을 초래하게 된다. 그러므로, 본 연구에서는 NC 프로그래머 또는 공작기계 조작자가 공구 및 피삭재에 대한 전문지식 없이도 적절한 절삭조건을 손쉽고 일관성 있게 찾을 수 있도록 MS 액세스 소프트웨어를 이용한 전자 카탈로그식 절삭변수 선정 시스템을 개발하였다.

• 한국안전학회지
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• 제10권1호
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• pp.9-19
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• 1995

The recent development of NC lathe and machining renter have enabled automatic or unmanned manufacturing system for the improvement of production rate. And if you want to introduce automatic or unmanned manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions, rational tool grades and tool angles are necessary. As a result, the selection of cutting conditions, tool grades and tool angles are important factors to production rate.

• 한국안전학회지
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• 제10권2호
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• pp.46-55
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• 1995

The recent development of NC lathe and machining center have enabled automatic or unmanned manufacturing system for the improvement of production rate. And if you want to introduce automatic or unmanned manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions, rational tool grades and tool angles are necessary. As a result, the selection of cutting conditions, tool grades and tool angles are important factors to production rate.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.798-801
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• 1993

This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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• pp.288-294
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• 2001

Present CAM technology cannot provide important physical property such as cutting farce and machined surface. Thus, the selection of cutting conditions still depends on the experience of an expert or on the machining data handbook in spite of the developed CAM technology. This paper presents an advanced methodology to help the worker to determine optimum cutting condition for CHC machining that excludes the need for expertise of machining data handbook. The virtual machining system presented in this paper can simulate the real machining states such as cutting farce and machined surface error. And virtual machining system can schedule feed rate to adjust the cutting force to the reference force.