• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.61-66
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• 1994

Tool condition monitoring is one of the most important aspects to improve productivity and quality and to achieve intelligent machining system. The tool state is classified into three groups as chipping, wear and fracture. In this study, wear of a ceramic cutting tool for hardened die material (SKD11) was investigated. Flank wear was occured more dominant than crarer wear. Therefore, to predict flank wear, the modeling of cutting force has been performed. The modeling of cutting force by an assumption that act the stress distribution on the tool face obtained through a numerical analysis. The relationships between the cutting force and the tool wear can be constructed by machining paraneters with cutting conditions. Experiments were performed under the various cutting conditions to ensure the validity of force models. The theoretical predictions of the flank wear is approximately in good agreement with experimental result.

• 대한기계학회논문집A
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• 제32권11호
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• pp.930-936
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• 2008

This paper studies the effect of pad at initial stage and wear during braking on the dynamic contact pressure distribution. Wear is influenced by variable factor (contact pressure, sliding speed, radius, temperature) during dynamic braking and variation in contact pressure distribution. Many researchers have conducted complex eigenvalue analysis considering wear characteristic with Lim and Ashby wear map. The conventional analysis method is assumed the pad has smooth and flat surfaces. The purpose of this paper is to validate that wear rate induced by braking is considered for the precise squeal prediction. After obtaining pad wear from experiment, it is incorporated with FE model of brake system. Finally, the comparisons in fugitive nature of squeal will be carried out between the complex eigenvalue analysis and noise dynamometer experiment.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.170.1-170
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• 2001

This paper developed the model for electro hydraulic force control system by identification method via ARMAX model. Implementation of Identification is performed on Pin-On-Disk type tribotester. The wear mechanism is an important mechanic property to select a material´s life and a optimum work condition. Pin-on-disk type tribotester is popular wear analysis experimental equipment and its mechanism is that adding a force on a rotating disk to simplify two surface contact´s wear experimental condition. Material´s rotating velocity and eccentricity rotation makes disturbance and it affects adding constant force. To get a high performance of force adding part, DDV(Direct Drive Valve) which has pressure control loop is used. To obtain a tribotester´ s ARMAX model, prediction error method(PEM) is used in case force adding part and rotating part is ...

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2004년도 춘계학술대회 논문집
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• pp.70-73
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• 2004

The approach in this thesis is for prediction of deformed strip profile in hot rolling mill. This approach shows how to make an expression as a mathematical form in predicting strip profile. This approach is based on the velocity field, shear stress and material flow on the strip edge along width direction and lateral displacement and stress along width are analytically calculated. Roll force is calculated in each section and then combined together to show roll force distribution along width. All the assumptions to make equation form for this approach are supported by FEM simulation result and the result of model is verified by FEM result. So, this model will supply very useful tool to the researcher and engineers which takes less time and has similar accuracy in predicting roll force profile comparing to FEM simulation. This model has to be combined with deformed roll profile model, which include thermal crown prediction and wear prediction model to predict deformed strip profile.

• 한국터널지하공간학회 논문집
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• 제16권6호
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• pp.533-542
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• 2014

본 연구에서는 Gehring, CSM, NTNU 모델을 이용한 디스크 커터 수명 예측 방법과 각 모델이 가지는 특징을 살펴보았다. 디스크 커터 수명에 크게 영향을 주는 요소인 관입깊이, 암석의 일축압축강도, 마모지수의 변화가 각각의 예측 모델들에 미치는 영향을 분석하였다. 디스크 커터 수명은 1회전당 관입깊이에 선형적으로 증가하였고, 일축압축강도의 증가에 따라 감소하는 경향을 보였다. 마모지수인 CAI 값이 증가함에 따라 Gehring과 CSM 모델에서의 디스크 커터 수명은 감소하였으나, CLI 값이 증가할수록 NTNU 모델의 디스크 커터 수명은 증가하는 경향을 보였다. 그리고 실제 현장 자료를 이용하여 디스크 커터 수명을 상호 비교하였다.

• 한국기계가공학회지
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• 제12권4호
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• pp.47-54
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• 2013

The main cause of die failure in hot forging is wear. Die wear directly generates the gradual loss of part tolerances, thereby causing deterioration in the dimensional accuracy of a forged part. It is very important to estimate forging cycles, called as die life, at which the die should be repaired or replaced. In this study, in order to estimate the hot forging die life, the finite element simulation of wear on an asymmetric part like a ball joint socket used in vehicle was carried out based on Archard's model. Finite element simulation results were compared with wear amounts of a used die that were measured using a contact stylus profilometer. The simulation results were in relatively good agreement with measurements obtained from the virtual die which was used by 7,000 forging cycles in a forging industry. Consequently, the die life in the hot forging of the ball joint socket was estimated by 10,500 forging cycles on the finisher die.

• 한국정밀공학회지
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• 제16권1호통권94호
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• pp.182-190
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• 1999

The objective of this study is to develop an analysis scheme in order to predict regrinding due to tool wear in shearing process. The analysis of material now and fracture in shearing process should precede the prediction of tool wear. Thus the developed FE-program to analyze shearing process is used. In order to predict tool wear, the wear model is reformulated as an incremental form and then the wear depth of tool is calculated at each deformation path. Because the regrinding of shearing tool is determined on the basis of allowable size of burr, the analysis of shearing process is iteratively performed using the worn profile of tool. To show the effectiveness of the scheme the simulation result is compared with experimental one.

• 한국터널지하공간학회 논문집
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• 제19권3호
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• pp.475-488
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• 2017

암반용 TBM 공사에서 디스크 커터의 마모도 예측은 설계 및 시공 단계에서 정확한 공사비와 공사기간을 추정하는데 중요한 요소이다. 디스크 커터 마모도 예측에 널리 사용되고 있는 방법으로는 CSM 모델, 노르웨이 NTNU 모델, Gehring 모델이 있으며, 이들 모델은 각각 세르샤 시험, NTNU 시험 결과로부터 도출된 디스크 커터의 마모지수와 수명 지수를 활용하고 있다. 세르샤 시험은 금속 핀을 이용하여 일방향으로 마모를 발생 시키기 때문에 광물 입자크기나 암석의 이방성에 따라 결과의 편차가 큰 것으로 조사되었다(SINTEF, 2013). 한편, NTNU 시험의 경우에 시료 성형을 위한 사전 작업이 필요하기 때문에 수행 완료까지 2~3일의 기간이 소요된다. 본 연구에서는 금속 디스크의 회전과 이와 직교되는 방향으로 이동하면서 양방향 마모를 발생시켜 마모시험 결과의 편차를 줄이고, NTNU 시험 대비 별도의 시료성형이 필요 없어 소요 시간을 1~2시간으로 단축할 수 있는 새로운 디스크 커터 마모도 예측시험과 이를 이용한 마모지수를 제안하였다. 제안된 마모 지수는 동일 암석을 이용한 세르샤 시험과 NTNU 시험결과와 비교하여 높은 상관관계를 갖는 것으로 나타났다. 또한 국내 외 TBM 현장의 암석 시편을 이용하여 시험결과와 현장의 실제 디스크 커터 마모량을 비교 검증하였으며, 95%의 높은 결정계수를 확인하였다. NAT 시험은 신속하게 시험 수행이 가능하고, 시험 결과로부터 제안된 마모지수가 높은 신뢰수준을 보이는 것으로 판단되어 향후 활용도가 높을 것으로 기대한다.

• Tribology and Lubricants
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• 제36권4호
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• pp.232-243
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• 2020

It is essential to predict the amount of wear and surface parameters for a surface where relative motion occurs. In the asperity-based model for wear prediction, only the average contact pressure can be obtained. Hence, the accuracy of wear analysis is poor. In this study, DC-FFT is used to obtain the pressure of each node, and wear analysis is performed by considering the effect of the pressure gradient. The numerical surface generation method is used to create Gaussian, negatively skewed, and positively skewed surfaces for wear analysis. The spatial and height distributions of each surface are analyzed to confirm the effectiveness of the generated surface. Furthermore, wear analysis is performed using DC-FFT and Archard's wear formula. After analysis, it is confirmed that all peaks are removed and only valleys remain on the surface. The RMS roughness and Sk continue to decrease and Ku increases as the cycle progresses. It is observed that the surface parameters are significantly affected by the radius of curvature of the asperity. This analysis method is more accurate than the existing average wear and truncation models because the change in asperity shape during the wear process is reflected in detail.

• Journal of Computational Design and Engineering
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• 제3권4호
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• pp.337-348
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• 2016

An experimental approach is presented for the measurement of wear that is common in the threading of cold-forged steel. In this work, the first objective is to measure wear on various types of roll taps manufactured to tapping holes in microalloyed HR45 steel. Different geometries and levels of wear are tested and measured. Taking their geometry as the critical factor, the types of forming tap with the least wear and the best performance are identified. Abrasive wear was observed on the forming lobes. A higher number of lobes in the chamber zone and around the nominal diameter meant a more uniform load distribution and a more gradual forming process. A second objective is to identify the most accurate data-mining technique for the prediction of form-tap wear. Different data-mining techniques are tested to select the most accurate one: from standard versions such as Multilayer Perceptrons, Support Vector Machines and Regression Trees to the most recent ones such as Rotation Forest ensembles and Iterated Bagging ensembles. The best results were obtained with ensembles of Rotation Forest with unpruned Regression Trees as base regressors that reduced the RMS error of the best-tested baseline technique for the lower length output by 33%, and Additive Regression with unpruned M5P as base regressors that reduced the RMS errors of the linear fit for the upper and total lengths by 25% and 39%, respectively. However, the lower length was statistically more difficult to model in Additive Regression than in Rotation Forest. Rotation Forest with unpruned Regression Trees as base regressors therefore appeared to be the most suitable regressor for the modeling of this industrial problem.