• Title/Summary/Keyword: manufacturing methods

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A Study on the Characteristics of Manufacturing and the Electromagnetic Correlations of Traditional Acupuncture Needle (전통침의 제법(製法) 특성과 전자기적 상관성 연구)

  • Hong, Do Hyun
    • Journal of Acupuncture Research
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    • v.30 no.5
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    • pp.95-105
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    • 2013
  • Objectives : The purpose of this study is to examine the preparing methods of the traditional acupuncture needle and to interpret the electromagnetic meaning intervened in them. Methods : The overall manufacturing processes of the acupuncture needles in ancient books were surveyed. And the facts that special functional activities were carried out in common in the preparing processes were detected. The reproduction tests for the detected former functional activities were followed. Results : According to the ancient medical books, the traditional acupuncture needles were treated with the magnet through the preparing processes. The reproduction tests provided the fact that the ferromagnetic iron needles treated with the magnet were enhanced their magnetisms. And major techniques of the ancient supplementation and draining can be interpreted as magnetic or induced electromagnetic actions. Conclusions : Considering the electromagnetic characteristics of human body, the magnet treated ferromagnetic iron needles of ancient era and magnetic or induced electromagnetic interpretable manipulation techniques are the historical evidences of magnetic activities of acupuncture. So modern acupuncture therapy should be understood, studied, and reinterpreted as an electromagnetic viewpoint.

A Study on the Comparison of Internal Plunge Grinding and Internal Thrust Grinding (내면 플런지 연삭과 스러스트 연삭의 비교)

  • Choi, Hwan;Seo, Chang-Yeon;Seo, Young-Il;Lee, Choong-Seok
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.1
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    • pp.68-73
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    • 2016
  • In this paper, the grinding characteristics in internal grinding methods(plunge, thrust) were studied with vitreous CBN wheels using machining center. Grinding experiments were performed according to the same material removal rate conditions such as a wheel speed, depth of cut and workpiece speed. And the grinding force, machining error and grinding ratio were investigated though these experiments. Based on the experimental results, the grinding characteristics on internal grinding methods were compared.

Identification and Reduction Method for Refrigerator Contraction and Expansion Noise (냉장고 수축팽창 소음원의 규명과 저감 방법)

  • Kim, Wonjin;Park, Seong Kyu
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.4
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    • pp.723-729
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    • 2013
  • The contraction and expansion noise of a refrigerator are investigated, and some effective methods are proposed to reduce the level and occurrence frequency of noise. First, the noise of a refrigerator is measured to estimate the frequency spectrum and occurrence frequency of noise. Second, a sound visualization was conducted using an acoustic camera to determine the location of the noise source. From the results, it was observed that the internal part mainly producing noise was the third shelf in the freezer room. A method to estimate the acceleration on the location of the noise source is introduced to analyze the contraction and expansion noise precisely and accommodate experimental convenience. Noise reduction methods such as the replacement of the existing shelf with glass shelves, adoption of rail slides, and increase of roughness on the contact surface of the shelf are proposed and tested.

Multivariate Gamma-Poisson Model and Parameter Estimation for Polytomous Data : Application to Defective Pixels of LCD (다가자료에 적합한 다변수 감마-포아송 모델과 파라미터 추정방법 : LCD 화소불량 응용)

  • Ha, Jung-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.1
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    • pp.42-51
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    • 2011
  • Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying manufactured products due to flexibility of marketing. In this paper, I introduce two multivariate Gamma-Poisson(MGP) models and estimation methods of the parameters in the models, which are able to handle polytomous data. The models and estimators are verified on defective pixels of LCD manufacturing. Experimental results show that both the independent MGP model and the multinomial MGP model have excellent performance in terms of mean absolute deviation and the choice of method depends on the purpose of use.

Optimal Process Parameters for Achieving the Desired Top-Bead Width in GMA welding Process (GMA 용접의 윗면 비드폭 선정을 위한 최적 공정변수들)

  • ;Prasad
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.11 no.4
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    • pp.89-96
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    • 2002
  • This paper aims to develop an intelligent model for predicting top-bead width for the robotic GMA(Gas Metal Arc) welding process using BP(Back-propagation) neural network and multiple regression analysis. Firstly, based on experimental data, the basic factors affecting top-bead width are identified. Then BP neural network model and multiple regression models of top-bead width are established. The modeling methods and procedure are explained. The developed models are then verified by data obtained from the additional experiment and the predictive behaviors of the two kind of models are compared and analysed. Finally the modeling methods, predictive behaviors md the advantages of each models are discussed.

A Study on the Control and Operation of Autonomous Distributed Machining System (자율, 분산된 기계가공시스템의 제어 모델 및 운영 기술에 관한 연구)

  • Lee, Young-Hae;Kim, Jeong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.24 no.2
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    • pp.17-29
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    • 1999
  • The manufacturing systems have to cope with the circumstance that the requirements of customers are changed abruptly and the life cycle of product becomes short. In this paper, to develop the efficient control and operation of autonomous, distributed machining systems the concept of Holonic Manufacturing System is adopted and methods for the control and operation of the system are proposed including an evaluation function for the negotiation between holons. And it is applied to scheduling and selection of operations to be worked with consideration of quality. It is expected that the proposed methods may be applied to operate autonomous, distributed machining systems.

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A Field Study on the Manufacturing of High Fluidity Concrete by Flowing Method (유동화공법으로 제조한 고유동 콘크리트의 현장 부어 넣기 실험)

  • 한민철;김경민;홍상희;손성운;김성수;한천구
    • Proceedings of the Korea Concrete Institute Conference
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    • 2001.11a
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    • pp.293-296
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    • 2001
  • This paper presents the results of field application test on the manufacturing of high fluidity concrete by applying flowing methods with segregation reducing type superplasticizer. Base concrete is made with 20% of fly ash, which is flowed during the transportation. According to test results, fluidity, placeability and segregation reducing performance meet the range of high fluidity concrete after flowing, while air loss occurs due to fly ash. There are no noticeable differences in compressive strengths between non-compacting and compacting methods. According to non-destructive tests with rebound and core strength test, we cannot detect any differences in strength according to the height in the structures.

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Automatic TFT-LCD Mura Inspection Based on Studentized Residuals in Regression Analysis

  • Chuang, Yu-Chiang;Fan, Shu-Kai S.
    • Industrial Engineering and Management Systems
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    • v.8 no.3
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    • pp.148-154
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    • 2009
  • In recent days, large-sized flat-panel display (FPD) has been increasingly applied to computer monitors and TVs. Mura defects, appearing as low contrast or non-uniform brightness region, sometimes occur in manufacturing of the Thin-Film Transistor Liquid-Crystal Displays (TFT-LCD). Implementation of automatic Mura inspection methods is necessary for TFT-LCD production. Various existing Mura detection methods based on regression diagnostics, surface fitting and data transformation have been presented with good performance. This paper proposes an efficient Mura detection method that is based on a regression diagnostics using studentized residuals for automatic Mura inspection of FPD. The input image is estimated by a linear model and then the studentized residuals are calculated for filtering Mura regions. After image dilation, the proposed threshold is determined for detecting the non-uniform brightness region in TFT-LCD by means of monitoring the every pixel in the image. The experimental results obtained from several test images are used to illustrate the effectiveness and efficiency of the proposed method for Mura detection.

Influence of Nickel Alloy Weld on the Mold Surface Cracks (니켈 합금 용접이 금형 표면의 균열 발생에 미치는 영향)

  • Jeong, Hyae-Dong;Lee, Ji-Hoon;Hong, Min-Sung
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.4
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    • pp.478-483
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    • 2011
  • Cast mold has low wear-resistance comparing with other alloyed molds which result in lower production rate and high cost of products. Recently, various weld methods are being applied to increase the wear-resistance of molds and to extend mold life. Among them, nickel alloy weld process increases the hardness irrelevant to its machinability and creates very uniform structures. In addition, it causes better wear-resistance and reduces shrinkage defects. In this paper, we analyze the mold surface cracks welded by nickel alloy and propose the methods to improve the mold surface and its wear-resistance. It has been found that nickel alloy weld does not affect the inside crack of mold but has an influence on the surface crack seriously. Results show that the start and growth of fatigue cracks have been delayed about 3 times and reduced approximately 75%, respectively, and the mold surface cracks are decreased about 5.7 times.

Steel processing effects on crash performance of vehicle safety related applications

  • Doruk, Emre
    • Steel and Composite Structures
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    • v.24 no.3
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    • pp.351-358
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    • 2017
  • Due to the increasing competition, automotive manufacturers have to manufacture highly safe and light vehicles. The parts which make up the body of the vehicle and absorb the energy in case of a crash, are usually manufactured with sheet metal forming methods such as deep drawing, bending, trimming and spinning. The part may get thinner, thicker, folded, teared, wrinkled and spring back based on the manufacturing conditions during manufacturing and the type of application methods. Transferring these effects which originate from the forming process to the crash simulations that are performed for vehicle safety simulations, makes accurate and reliable results possible. As a part of this study, firstly, the one-step and incremental sheet metal forming analysis (deep drawing + trimming + spring back) of vehicle front bumper beam and crash boxes were conducted. Then, crash performances for cases with and without the effects of sheet metal forming were assessed in the crash analysis of vehicle front bumper beam and crash box. It was detected that the parts absorbed 12.89% more energy in total in cases where the effect of the forming process was included. It was revealed that forming history has a significant effect on the crash performance of the vehicle parts.