• Title/Summary/Keyword: 가공모델

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Detection of Tool Wear using Cutting Force Measurement in Turning (선사가공에 절삭력을 이용한 공구마멸의 감지)

  • 윤재웅;이권용;이수철;최종근
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.1
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    • pp.1-9
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    • 2001
  • The development of flexible automation in the manufacturing industry is concerned with production activities performed by unmanned machining system A major topic relevant to metal-cutting operations is monitoring toll wear, which affects process efficiency and product quality, and implementing automatic toll replacements. In this paper, the measurement of the cutting force components has been found to provide a method for an in-process detection of tool wear. The static com-ponents of cutting force have been used to detect flank wear. To eliminate the influence of variations in cutting conditions, tools, and workpiece materials, the force modeling is performed for various cutting conditions. The normalized force dis-parities are defined in this paper, and the relationships between normalized disparity and flank were are established. Final-ly, artificial neural network is used to learn these relationships and detect tool wear. According to proposed method, the static force components could provide the effective means to detect flank wear for varying cutting conditions in turning operation.

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A Queue Length Prediction Algorithm using Kalman Filter (Kalman Filter를 활용한 대기행렬예측 알고리즘 개발)

  • 심소정;이청원;최기주
    • Journal of Korean Society of Transportation
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    • v.20 no.5
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    • pp.145-152
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    • 2002
  • Real-time queueing information and/or predictive queue built-up information can be a good criterion in selecting travel options, such as routes, both for users, and for operators in operating transportation system. Provided properly, it will be a key information for reducing traffic congestion. Also, it helps drivers be able to select optimal roues and operators be able to manage the system effectively as a whole. To produce the predictive queue information, this paper proposes a predictive model for estimating and predicting queue lengths, mainly based on Kalman Filter. It has a structure of having state space model for predicting queue length which is set as observational variable. It has been applied for the Namsan first tunnel and the application results indicate that the model is quite reasonable in its efficacy and can be applicable for various ATIS system architecture. Some limitations and future research agenda have also been discussed.

A Study on the Load Characteristics of Herringbone-Grooved Journal Bearing (빗살무늬동압베어링의 부하특성에 관한 연구)

  • 강경필;임윤철
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1993.12a
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    • pp.39-50
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    • 1993
  • 최근 회전계의 고속화, 소형화 및 정숙운전에 대한 요구가 엄격해짐에 따라 볼베어링을 저어널베어링으로 대체하는 흐름이 증가하고 있으나, 저어널베어링의 기본 구조상 운전시 여러 종류의 진동모드가 발생되며 이에 따라 엄밀한 설계가 요구된다. 이러한 요구에 따라 본 연구에서는 불안정성을 억제할 수 있는 것으로 알려진 빗살무늬 저어널베어링을 대상으로 하여 보다 정확한 설계를 위한 수치해석 프로그램을 개발하였다. 빗살무늬저어널베어링의 해석법으로는 간극의 비선형성을 단순화 시키기 위하여 무한홈을 가정한 협곡이론을 시초로 하여 최근에는 컴류터 계산속도의 발달로 실제 형상에 대해 해석한 직접계산법 등이 알려져 있다. 직접계산법은 협곡이론에 의한 계산법에 비해 많은 시간이 걸리는 단점이 있으나, 베어링이 소형화되어 실제 많은 홈을 가공하기 힘들거나 홈이 원호형으로서 직각홈으로 가정하기가 곤란한 요소에서는 협곡이론을 적용하는데 무리가 있을 것으로 사료된다. 따라서 본 연구에서는 직접계산법을 채택하여 소형 베어링 모델에 대한 부하특성을 수치해석하고, 이를 협곡이론과의 비교를 통하여 그 차이점을 검토하였다. 이를 위해 압축성을 고려한 레이놀즈 방정식에 대한 베어링 주위의 압력분포를 계산하는 프로그램을 제작하였으며, 주어진 설계조건하에서 빗살무늬 형상을 결정하는 피라미터들의 최적값을 산출하고, 아울러 플레인저어널베어링과의 비교를 통하여 설계조건에 따른 빗살무늬저어널베어링의 기존 불베어리의 대체 가능성을 평가하였다.

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Analysis of Chip Thickness Model in Ball-end Milling (볼엔드밀 가공의 칩두께 모델 해석)

  • Sim Ki-Joung;Mun Sang-Don
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.2
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    • pp.73-80
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    • 2006
  • This paper describes a analysis on the chip thickness model required for cutting force simulation in ball-end milling. In milling, cutting forces are obtained by multiplying chip area to specific cutting forces in each cutting instance. Specific cutting forces are one of the important factors for cutting force predication and have unique value according to workpiece materials. Chip area in two dimensional cutting is simply calculated using depth of cut and feed, but not simply obtained in three dimensional cutting such as milling due to complex cutting mechanics. In ball-end milling, machining is almost performed in the ball part of the cutter and tool radius is varied along contact point of the cutter and workpiece. In result, the cutting speed and the effective helix angle are changed according to length from the tool tip. In this study, for chip thickness model analysis, tool and chip geometry are analyzed and then the definition of chip thickness and estimation method are described. The resulted of analysis are verified by compared with geometrical simulation and other research. The proposed chip thickness model is more precise.

Five-axis CL Data Generation by Considering Tool Swept Surface Model in Face Milling of Sculptured Surface (공구이동궤적 모델을 이용한 5축 페이스밀링 가공데이터 생성)

  • 이정근;박정환
    • Korean Journal of Computational Design and Engineering
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    • v.9 no.1
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    • pp.35-43
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    • 2004
  • It is well known that the five-axis machining has advantages of tool accessibility and machined surface quality when compared with conventional three-axis machining. Traditional researches on the five-axis tool-path generation have addressed interferences such as cutter gouging, collision, machine kinematics and optimization of a CL(cutter location) or a cutter position. In the paper it is presented that optimal CL data for a face-milling cutter moving on a tool-path are obtained by incorporating TSS(tool swept surface) model. The TSS model from current CL position to the next CL position is constructed based on machine kinematics as well as cutter geometry, with which the deviation from the design surface can be computed. Then the next CC(cutter-contact) point should be adjusted such that the deviation conforms to given machining tolerance value. The proposed algorithm was implemented and applied to a marine propeller machining, which proved effective from a quantitative point of view. In addition, the algorithm using the TSS can also be applied to avoid cutter convex interferences in general three-axis NC machining.

A Study on the Tolerance Modeler for Feature-based CAPP (특징형상에 기반한 자동공정설계용 공차 모델러 연구)

  • Kim, Jae-Gwan;No, Hyeong-Min;Lee, Su-Hong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.1
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    • pp.48-54
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    • 2002
  • A part definition must not only provide shape information of a nominal part but also contain non-shape information such as tolerances, surface roughness and material specifications. Although machining features are useful for suitable shape information fur process reasoning in CAPP, they need to be integrated with tolerance information for effective process planning. We develop a tolerance modeler that efficiently integrates the machining features with the tolerance information fur feature-based CAPP. It is based on the association of machining features, tolerance features, and tolerances. The tolerance features in this study, where tolerances are assigned, are classified into two types; one type is a face that is a topological entity on a solid model and the other type is a functional geometry that is not referenced to topological entities. The (unctional geometry is represented by using machining features. All the data fur representing the tolerance information are stored completely and unambiguously in an independent tolerance data structure. The developed tolerance modeler is implemented as a module of a comprehensive feature-based CAPP system.

A Study on tool life in the high speed machining of small-size end mill by factorial design of experiments and regression model (요인 실험계획법 회귀분석을 이용한 소경 엔드밀의 공구수명에 대한 연구)

  • Lim, Pyo;Park, Sang-Yoon;Yang, Gyun-Eui
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.2 s.179
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    • pp.73-80
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    • 2006
  • High speed machining(HSM) technique is widely used in the appliance, automobile part and mold industries, because it has many advantages such as good quality, low cost and rapid machining time. But it also has problems such as tool breakage, smooth tool path, and so on. In particular, small size end mill is easy to break, so it must be changed before interrupting operation. Generally, the tool life of small size end mill is affected by the milling conditions whose selected parameters are spindle speed, feedrate, and width of cut. The experiments were carried out by full factorial design of experiments using an orthogonal array. This paper shows optimal combination and mathematical model for tool life, Therefore, the analysis of variance(ANOVA) is employed to analyze the main effects and the interactions of these milling parameters and the second-order polynomial regression model with three independent variables is estimated to predict tool life by multiple regression analysis.

Optimum Design of Formed Tool for Die of Bearing Rubber Seal Using Design of Experiments (실험계획법에 의한 자동차용 러버실 금형가공을 위한 총형공구의 최적설계)

  • Lee, Li-Hai;Lim, Pyo;Lee, Hi-Koan;Yang, Gyun-Eui
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.4
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    • pp.47-53
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    • 2007
  • A bearing is one of core parts in automobile. Rubber seal of the bearing is important to improve performance of bearing, formed by hot-press die of rubber seal for the intricate shape. In this study, formed tools are used to machine die of bearing rubber seal and the machining operation is classified into the several process of high precision. Design of experiments is used to optimize selection of the formed tools for the efficient machining of the hot-press die. The cutting force, tool wear and tool life are determined to characteristics. And, the clearance angle, the rake angle and the length cutting edge are considered as the major factors. Experiments are repeated to use one-way factorial design, and tool life is predicted by regression model.

A Study on the Measures for the Development of Electronic Security in the 4th Industrial Revolution Era (4차 산업혁명 시대 Electronic Security 발전 방안에 관한 연구)

  • Kim, Min Su
    • Convergence Security Journal
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    • v.20 no.3
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    • pp.109-114
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    • 2020
  • Currently, in the 4th industrial revolution era(4IR), the convergent infrastructure has been established by actively utilizing data based on the existing digital technological innovation in the 3rd industrial revolution. Thus, the technological innovation based on the knowledge-information society needs to put innovative efforts for creating new business models in various areas. Thus, this study aims to present an Electronic Security Framework by suggesting the Cyber-Physical Security System(CPSS) that could more accurately predict and efficiently utilize it based on structured data obtained by collecting, analyzing, and processing an enormous amount of unstructured data which is a core technology distinguished from the 3rd industrial revolution.

Effects of Osmotic Dehydration on Drying Characteristics of Kiwifruits (키위의 건조특성에 미치는 삼투처리의 영향)

  • 윤광섭;홍주헌
    • Food Science and Preservation
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    • v.6 no.3
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    • pp.319-323
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    • 1999
  • This study was conducted to minimize the deterioration of dried kiwifruit quality. Osmotic dehydration was carried out as pretreatment before drying. After the kiwifruits were pretreated under optimized osmotic dehydration conditions, they were dried by three drying methods(hot air drying, vacuum drying, freeze drying). Hot air drying and vacuum drying were superior to freeze drying in the drying speed. But vacuum and freeze drying preserved more vitamin C than hot air drying. Also, osmotic dehydrated kiwifruit kept better quality than nontreated kiwifruit. Diffusion coefficient which describes moisture transfer, was high in drying process pretreated with osmosis. The changes of vitamin-C followed the second-order reaction rate equation with high RE, respectively.

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