• Journal of the Korean Society of Safety
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• v.16 no.1
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• pp.88-93
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• 2001

This study discusses frequency analysis based on autoregressive (AR) time series model, and process characterization in orthogonal cutting of a fiber-matrix composite materials. A sparsely distributed idealized composite material, namely a glass reinforced polyester (GFRP) was used as workpiece. Analysis method employs a force sensor and the signals from the sensor are processed using AR time series model. The resulting pattern vectors of AR coefficients are then passed to the feature extraction block. Inside the feature extraction block, only those features that are most sensitive to different types of cutting mechanisms are selected. The experimental correlations between the different chip formation mechanisms and AR model coefficients are established.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.252-252
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• 2004

새로운 공작기계나 절삭공구의 설계 및 개선을 위하여 절삭 공정 중 발생되는 절삭력 성분을 정확히 예측하는 것이 필요하다. 절삭 과정에서 절삭력 정보의 중요성은 그동안 공작기계 분야에서 익히 강조되어 왔다. 특히 주 절삭력 정보는 공구 파손을 예측하고 마모를 감지하여 그 밖의 다른 오동작을 검출해 내는 것에 있어서 매우 중요한 것으로 잘 알려져 있다. 최근 공작기계 강성 및 성능의 향상, 고속절삭용 공구의 발전, 금형 산업의 생산성과 정밀도 향상의 요구로 머시닝센터를 중심으로 고속가공에 관한 연구가 활발히 진행되고 있다. (중략)

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.131-136
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• 1995

최근 기계가공이 CAD/CAM화되고 가공기술이 고정밀화, 고능률화 되어감에 따라 절삭공정에 대한 정확한 모델이 필요하다. 절삭공정에서 공작물의 정밀도나 가공능률에가장 큰 영향을 미치는 것이 절삭력과 표면거칠기로서 이의 해석을 위해서 절삭력 모델과 표면거칠기 모델이 사용되고 있다. 본 연구에서는 정면밀링가공에서 인서 트 초기오차와 날의 형상을 고려하여보다 쉬운 표면조도 모델을 세우고, 절삭과정을 진동계로 모델링하여 3차 원 동적 표면형상을 예측하고자 한다. 도한 본 모델을 이용하여 정면밀링작업에서 최적의 절삭조건을 찾고자 한다. 밀링가공에서 표면조도는 날딩 이송과 함께 인서트 초기위치오차에 의하여크게 좌우 되기 때문에 최적 의 이송을 찾아서 알맞은 표면조도를 얻고 절삭효율을 높이기는 힘들다. 따라서 본 연구에서 개발한 표면조도 모델을 이용하여 최적의 이송을 찾아서 목적에 합당한 표면조도를 얻고, 또한 절삭효율도 높일 수 있는 방법을 제시하고자 한다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.5
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• pp.353-359
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• 2017

The classical computer numerical control (CNC) machine is widely used for mold making in various industries. However, while improving the process, it has a negative effect on production quality and worker safety. As a result, the complaints of workers have increased and production quality has decreased. Therefore, we found optimizing cutting conditions to mold industrials for cutting conditions commonly used. However, the problem is the insert tool geometric modeling. In this study, the modeling of an insert tool was performed using the Solidworks program. The insert tool model was imported into the analysis application AdvantEdge, which predicted cutting forces, tool stress, and temperature.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1059-1062
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• 1995

In cutting system, relative displacement between rool and workpiece is very important. Even though there have been so many works for modeling cutting process of end-milling, most of them have considered only one displacement of either tool or workpiece instead of both. In this paper, the relative displacement between tool and workpiece is considered for modeling cutting process of end-milling using simple experimental modal analysis and cutting force simulation program is developed. In cutting force model, instantaneous uncut chip thickness model is used and Runge-Kutta method is used for the simulation of time varying cutting system.

• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.110-112
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• 2003

본 논문에서는 상용 CAD시스템을 이용하여 공구 및 인서트를 모델링하고, 절삭이론 및 유한요소법을 사용하여 인서트의 온도분포를 계산하였다. 절삭이론을 이용하여 절삭실험 없이 인서트 끝단의 온도를 계산하고, 이를 하중 조건으로 사용하여 공구의 온도분포를 얻을 수 있었다. 또한 공구 홀더 끝 부분의 여러 가지 온도 경계조건에 대하여, 공구 및 인서트의 온도분포가 계산되었다. 다양한 경계조건에 따른 인서트의 온도분포에 대한 지식은 공구설계 및 가공조건 설정시 유용하게 이용될 수 있으며 특히 어떠한 절삭실험 얼이 계산이 가능하므로 가공공정설계시 효과적으로 이용될 수 있다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.12 no.2
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• pp.206-214
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• 1988

To improve the surface waviness in the peripheral milling, the feedrate is controlled so that the cutting force measured in the normal direction to the workpiece is constant. A discrete time first order model between the feedrate and the tool deflection is derived for the control. It has been shown by the analysis that the tool deflection is directly related to the feedrate and largely affects the surface waviness during cutting. The experimental results shown that the surface waviness is drastically improved by the proposed methods.

• Clean Technology
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• v.12 no.3
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• pp.182-189
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• 2006

In this study, high speed machining is evaluated with regard to economical and environmental effects. Considering environmental loads, machining costs are analyzed with the mathematical models of machining economics and cutting fluid loss. Data from the tool life experiments of high speed milling and turning are used for the analysis. The analysis of high speed milling shows that the machining cost decreases as increasing the cutting speed. In turning process, the cooling method using cutting fluid shows the minimum machining cost. Considering both machining and environmental costs, cooling method using cold air is superior to other methods.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.11
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• pp.73-81
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• 1996

This paper presents a general procedure for the selection of the machining parameters for a given machine which provides the maximum material removal rate using a Genetic Algorithms(GAs). Some constraints were given in order to achieve desired surface integrity and cutting tool life conditions as wel as to protect machine tool. Such a constrained problem can be transformaed to unconstrained problem by associating a penalty with all constraint violations and the penalties are included in the function evaluation. Genetic Algorithms can be used for finding global optimum cutting conditions with respect to the above cost function transformed by pennalty function method. From the demonstration of the numerical results, it was found that the near optimal conditions could be obtained regardless of complex solution space such as cutting environment.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.11
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• pp.82-91
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• 1996

In this study, we put our object to carry out adaptive modeling of cutting process in turning system, and to find out the optimal cutting conditions to maximize material removal rate under some constraints. We used a back-propagation neural network to model the cutting process adaptively and a genetic algorithm to find out optimal cutting conditions. The experimental results show that a back-propagation neural network could model the cutting process effciently, and optimized cutting conditions for maximizing the material removal rate were obtained through the adaptive process model and genetic algorithms. Therefore, the proposed approach can be applied to the real machining system.