• Title/Summary/Keyword: Machine method

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Development of an Electro-mechanical Driven Broaching Machine

  • Park, Hong-Seok;Park, In-Soo;Dang, Xuan-Phuong
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.1
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    • pp.7-14
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    • 2015
  • The machine tools builders are trying to improve the efficiency and performance of the machine tools. The electro-mechanical driven broaching machine has many advantages such as lower noisy operating, higher energy efficiency, and smaller space of installation. This paper presents the structural and mechanical development of an electro-mechanical driven broaching machine that is replaced for traditional hydraulic one. The servo motor, ball screw and roller linear guide are used instead of hydraulic cylinder and translation frictional sliding guides. The simulation method based on FEM was applied to analyze the stress, deformation of the machine for static analysis. The dynamic analysis was carried out for verifying and assessing the mechanical behavior of the developed broaching machine. This work helps broaching machine developer make a better product at the early design stage with lower cost and development time.

A Study on the Evaluative Method of Workability For High Speed Machining (고속가공기의 가공성 평가방법에 관한 연구)

  • Lee, Choon-Man;Ryu, Sung-Pyo;Hwang, Young-Su;Chung, Won-Jee;Jung, Jong-Yun;Ko, Tae-Jo
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1858-1863
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    • 2003
  • The properties of a machine tool greatly affect machining quality since a machine tool has large variance in its features. Machine tool makers want to find best machining condition with the one that they have built. Machine builders need to develop test specimen since it helps finding characteristics of machine tools when the machining properties of the specimen are analyzed. This paper develops test specimen to identify features of the main spindle, the feeding device, and the frame of a machine tool. The specimen is machined with a high speed machine and the features of the machine are analyzed with test items. They are surface roughness, overshoot in axial movement, errors in circular movement, feeding with small movement, and compensational error. This work can improve usability for a machine tool in machining practice.

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Development of Sorting Machine for Photo Diode and Improvement of Sorting Precision by using Machine Vision (광 다이오드 분류장치 및 비젼을 이용한 정밀도 향상)

  • Ryuh B.S.;Park S.M.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.153-154
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    • 2006
  • Development of sorting machine for photo diode and its control system is addressed. The sorting machine for optical communication device requires high positional precision because the alignment is one of the most important point in the sorting process. This sorting method describes how to detect the target chip's angle and position from the wafer. The machine vision system is used for the feedback control. This sorting machine is implemented by motion controller, machine vision and various solenoid valve and is interfaced with RS-232c, GPIB and PCI communication. This system gets the position accuracy within $1{\mu}m$ with our experiments.

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Dynamic Analysis and Optimization of a Machine Tool Structure (工作機械構造 의 動的 解析 및 最適化)

  • 한규환;이장무
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.6 no.4
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    • pp.384-389
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    • 1982
  • It is necessary that machine tool structures should be designed so that they will cause a minimum chance of machining chatter. In order to do this, a computer program package is developed utilizing Finite Element Method, modal flexibility and energy balance method. Validity of the program package is verified through computer simulation analysis and impulse test of a simplified machine tool structure.

Three dimensional finite element analysis of static deflections of a machine tool structures (3차원 유한요소 모델링을 통한 공작기계 구조의 정적 변형도 해석)

  • 김현석;이수정;정광섭;이대길
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.638-643
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    • 1993
  • The three dimensional finite element models for the basic deflection of linear motion guides and ball screws were developed. Form the comparison of the results calculated by the finite element method with those by the experiment, it was proved that the modeling method might be applied to real machine tool structures. Form the structural analysis of the headstock of the machine tool, it was found that the static stiffness was calculated within 6.5% error

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Volumetric Error Measurement and Calibration of Coordinate Measuring Machines Using a Ball-bar Artifact (Ball-Bar Artifact를 이용한 CMM의 공간 오차 측정 및 분석)

  • 구상서;이응석
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.143-148
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    • 2001
  • Volumetric error measurement and calibration of a coordinate measuring machine are studied by using a Ball-Bar artifact. Examples of the Ball-Bar design are shown using inbar materials and precision steel balls. Also, for the uncertainty error using the Ball-Bar is discussed. Method of Ball-Bar artifact and the analysis of the error vectors are proposed. Using the Ball-Bar data, we studied the method of volumetric errors ana]ysis of a coordinate measuring machine.

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A study on man-machine system evaluation (인간-기계시스템의 평가에 관한 연구)

  • 이상도;정중희;이동춘
    • Journal of the Ergonomics Society of Korea
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    • v.2 no.2
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    • pp.11-16
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    • 1983
  • In designing a man-machine system(machines, work surfaces, work places, etc.), human's internal and external characteristics should be considered. But the resulting system may not be perfect, and many idiosyncratic and situational errors occur while operating. The entropy model with the limited data is known as a useful method to verify the internal system status. This paper shows a quantitative method to describe the system compatability between man and machine by entropy model and error data.

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FORECASTING GOLD FUTURES PRICES CONSIDERING THE BENCHMARK INTEREST RATES

  • Lee, Donghui;Kim, Donghyun;Yoon, Ji-Hun
    • Journal of the Chungcheong Mathematical Society
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    • v.34 no.2
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    • pp.157-168
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    • 2021
  • This study uses the benchmark interest rate of the Federal Open Market Committee (FOMC) to predict gold futures prices. For the predictions, we used the support vector machine (SVM) (a machine-learning model) and the long short-term memory (LSTM) deep-learning model. We found that the LSTM method is more accurate than the SVM method. Moreover, we applied the Boruta algorithm to demonstrate that the FOMC benchmark interest rates correlate with gold futures.

Response Characteristic of HVDC System According to Frequency Sensing Methods (주파수 측정방법에 따른 HVDC시스뎀의 응답특성)

  • Kim C,K;Yang B.M;Park J.G.;Jeong G.J.
    • Proceedings of the KIPE Conference
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    • 2003.07a
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    • pp.299-303
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    • 2003
  • This paper deals with the frequency sensing methods at HVDC system. The objects of frequency information in HVDC system areto fire a valve and to control a frequency of AC network. Conventionally, there are two methods to measure a frequency of AC network. The first method is to draw out from the synchronous machine and the second method is from AC network. Two methods have advantages and disadvantage each other. For the extreme case of a receiving system of zero inertia (no generation), synchronous machine is essential. In this situation, the frequency information received from the synchronous machine shaft. However, the speed of synchronous machine is oscillated when a disturbance in AC network occurs, and HVDC may be oscillated due to an oscillation speed. To solve this drawback, in this paper, new frequency sensing method is proposed. A proposed method that is use a modified curve-fitting algorithm, has a robust characteristics against a harmonics and unbalanced faults. Consequently, A proposed method is verified by PSCAD/EMTDC Program and experimental test.

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Measurement uncertainty evaluation in FaroArm-machine using the bootstrap method

  • Horinov, Sherzod;Shaymardanov, Khurshid;Tadjiyev, Zafar
    • Journal of Multimedia Information System
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    • v.2 no.3
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    • pp.255-262
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    • 2015
  • The modern manufacturing systems and technologies produce products that are more accurate day by day. This can be reached mainly by improvement the manufacturing process with at the same time restricting more and more the quality specifications and reducing the uncertainty in part. The main objective an industry becomes to lower the part's variability, since the less variability - the better is product. One of the part of this task is measuring the object's uncertainty. The main purpose of this study is to understand the application of bootstrap method for uncertainty evaluation. Bootstrap method is a collection of sample re-use techniques designed to estimate standard errors and confidence intervals. In the case study a surface of an automobile engine block - (Top view side) is measured by Coordinate Measuring Machine (CMM) and analyzed for uncertainty using Geometric Least Squares in complex with bootstrap method. The designed experiment is composed by three similar measurements (the same features in unique reference system), but with different points (5, 10, 20) concentration at each level. Then each cloud of points was independently analyzed by means of non-linear Least Squares, after estimated results have been reported. A MatLAB software tool used to generate new samples using bootstrap function. The results of the designed experiment are summarized and show that the bootstrap method provides the possibility to evaluate the uncertainty without repeating the Coordinate Measuring Machine (CMM) measurements many times, i.e. potentially can reduce the measuring time.