• Title/Summary/Keyword: Alternative manufacturing

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Optimization Methodology Integrated Data Mining and Statistical Method (데이터 마이닝과 통계적 기법을 통합한 최적화 기법)

  • Jung, Hey-Jin;Song, Suh-Ill
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.205-210
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    • 2006
  • Nowaday manufacture technology and manufacture environment are changing rapidly. By development of computer and enlargement of technique, most of manufacture field are computerized. It is measured automatically do much quality characteristics thereby and great many data happen in a day. corporations is important if have gotten fast information that are useful from wide data to go first in international competition according to these change. Statistical process control(SPC) techniques are used as a problem solution tool at manufacturing process until present. However, this statistical methods is not applied more extensively because have much restrictions in realistic problem. In this paper, wish to develop more realistic and scientific new statistical design techniques doing to integrate data mining(DM) and statistical methods by the alternative to cope these problem. First step selects significant factor using DM techniques from datas of manufacturing process including much factors and second step wish to find optimum of process after get the estimated response function through response surf ace methodology(RSM) that is statistical techniques.

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Modeling of Depth/Width of Cut for Abrasive Water Jet Milling of Titanium (티타늄의 워터젯 밀링을 위한 가공깊이/폭 모델링)

  • Park, Seung Sub;Kim, Hwa Young;Ahn, Jung Hwan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.1
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    • pp.83-88
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    • 2016
  • Because of the increasing tool cost for cutting hard-to-cut materials, abrasive water jet (AWJ) milling recently has been regarded as a potential alternative machining method. However, it is difficult to control the depth and width of cut in AWJ milling because they vary depending on many AWJ cutting parameters. On 27 conditions within a limited range of pressure, feed rate, and abrasive flow rate, AWJ cutting was conducted on titanium, and depth profiles were measured with a laser sensor. From the depth profile data, depth and width of cut were acquired at each condition. The relationships between depth and parameters and between width and parameters were derived through regression analysis. The former can provide proper cutting conditions and the latter the proper pick feed necessary to generate a milled surface. It is verified that pressure mostly affects depth, whereas abrasive flow rate mostly affects width.

Numerical Study on the Stress Safety of a Cylinder for an Injection Molding Machine (사출성형기용 실린더의 응력안전성에 관한 수치적 연구)

  • Kim, Chung-Kyun;Kim, Kyung-Seob
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.4
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    • pp.401-406
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    • 2011
  • This study presents the stress safety analysis of a cylinder, which is manufactured by a tempered ASTM D2, tempered SM45C and normalized SM45C materials, respectively. The inner diameter of three cylinder models are 85mm, 95mm, and 11 Omm and the total length of a cylinder is 2,365mm for a high pressure injection molding machine. The FEM computed results show that the inner diameter of 85mm with a thick thickness of 62.5mm may produce the injection pressure of 325MPa and the inner diameter of 110mm with 50mm thickness reduces up to the injection pressure of 220MPa because of a reduced thickness of a cylinder. These injection pressures are enough for a high pressure injection molding machine assembled by ASTM D2 cylinder. And also, an injection cylinder manufactured by a tempered SM45C material in which is low priee may produce 225MPa injection molding pressure and this may sufficiently endure stress safety compared to that of ASTM D2 cylinder material. Thus, this study recommends that tempered SM45C cylinder is appropriated for a mild injection molding machine as an alternative cylinder material when the safety strength and low prices are considered. But the normalized SM45C cylinder material does not meet a stress safety of yield strength in general.

Development of a Movable Pellet Manufacturing Equipment (이동식 펠릿 제조장비 개발에 대한 연구)

  • Jho, Shi Gie;Kum, Sungmin
    • Journal of Energy Engineering
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    • v.24 no.3
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    • pp.13-19
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    • 2015
  • The wood pellet is standardized of woody type fuel which of small cylindrical shape that is produced compress wood remnants in process of woody processing. The pellet is critical energy which expects to increase of the amount used in future. It consumes fuel which of home, common facilities stove and boiler, district heating, and CHP, etc. This study was to develop a movable pellet manufacturing equipment that can be mounted on a truck. The pellet production volume is approximately 309kg per hour, daily output is about 2ton. One days work based on the expected revenue of approximately \268,000 feasibility is considered sufficient.

A Convergence study on the Research and Development process for the cryogenic submerged pump (극저온 잠액식 펌프 연구개발 프로세스에 관한 융합 연구)

  • Bae, Tae-Yong;Hwang, Gyu-Wan
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.185-191
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    • 2017
  • Recently, for such reasons as its inexpensive price and eco-friendliness, LNG has been under the limelight as an alternative fuel for vessels and is expected to grow rapidly in the industry. However, the technology level of domestic shipbuilders in manufacturing the cryogenic pump designed to supply LNG for vessels is so low that design and manufacturing technology of core parts are in urgent need. Therefore, this study describes the stepwise development procedure of cryogenic submerged centrifugal pump for ship LNG supply system. And it aims to suggest practical and specific development methods of the pump by approaching the characteristics of each step and major development items from the standpoint of engineering and management.

The Evaluation of Cylindrical Gear Measurement on Teeth Roots and Bottom Profiles in Different Sections (원통기어의 다단면 치형 측정평가)

  • Moon, Sung-Min;Kang, Jae-Hwa;Kido, Hiromitsu;Kurokawa, Syuhei;Lyu, Sung-Ki
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.1
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    • pp.46-49
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    • 2012
  • Gears are reliable and efficient power transmission elements. They have been widely used in all kinds of machinery. Nowadays, resource conservation energy conservation environmental improvements from the request of the compact, light weight, high efficiency, low cost Higher efficiency is required. Tooth root and bottom profiles of cylindrical gears affect bending fatigue life, but they are hard to measure with conventional gear measuring machine(GMM), because GMM is normally customized to measure only gear working flanks. The authors try to develop a new type of GMM by installing an extra 3D scanning probe and control software to measure tooth root and bottom profiles. First, in order to measure in various directions, a 3D scanning probe has been attached to the GMM developed. Next, calibration algorithm has been developed. Deviations of the calibration results are measured and it is found that systematic error must be caused by heat from driving motors. A new alternative GMM with driving motors generating less heat was designed and two GMMs are compared. Finally, 3 Dimension measurement of tooth root and bottom profiles of cylindrical gears is described.

Heat Radiation of LED Light using eu Plating Engineering Plastic Heat Sink (동도금 EP방열판에 의한 소형LED조명등 방열)

  • Cho, Young-Tae
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.1
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    • pp.81-85
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    • 2011
  • Recently, the electronic parts are to be thinner plate, smaller size, light weight material and CPU, HDD and DRAM in all the parts have been produced on the basis of the high speed and greater capacity. Also, conventional goods have replaced a LED (Light-Emitting Diode) in lighting products so; such industry devices need to have cooling. To maximize all the performance on the heat-radiated products, the area of heat-radiated parts is required to be cooled for keeping the life time extension and performance of product up. Existing cooling systems are using radiant heat plate of aluminum, brass by extrusion molding, heat pipe or hydro-cooling system for cooling. There is a limitation for bringing the light weight of product, cost reduction, molding of the cooling system. So it is proposed that an alternative way was made for bringing to the cooling system. EP (Engineering Plastic) of low-cost ABS (Acrylonitrile butadiene styrene Resin) and PC (Polycarbonate) was coated with brass and the coating made the radiated heat go up. The performance of radiant heat plate is the similar to the existing part. We have studied experimentally on the radiated heat plate for the light-weight, molding improvement and low-cost. From now on, we are going to develop the way to replace the exiting plate with exterior surface of product as a cooling system.

Optimal Parametric Design of Coil Gun to Improve Muzzle Velocity (피투사체 속도 향상을 위한 코일건의 기구 변수 최적 설계)

  • Lee, Su-Jeong;Lee, Ju Hee;Lee, Dong Yeon;Seo, TaeWon;Kim, Jin Ho
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.4
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    • pp.408-412
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    • 2014
  • An electromagnetic launching system presents a viable projectile propulsion alternative with low cost and minimal environmental drawbacks. A coil gun system propels a projectile using an electromagnetic force and the system is mainly employed in military weapon systems and space launch systems. In this paper, we perform optimization design to improve the muzzle velocity by analyzing the sensitivity. The muzzle velocity, which is the most important design function variable, is affected by design variables including the number of axial turns in the electromagnetic coil, number of radial turns in the electromagnetic coil, initial distance between the projectile and the coil, inner radius of the electromagnetic coil, and length of the projectile. An orthogonal arrays matrix is configured, and a finite element analysis is performed utilizing the commercial electromagnetic analysis software MAXWELL. The muzzle velocity of the optimal design is 62.4% greater than that of the initial design.

Manufacturing 2.25Cr-1Mo Steel In Hot Rolling Strip Mill (2.25% Cr-1%Mo 합금계 열연강판 제조기술)

  • 노태훈
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.390-398
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    • 1999
  • The thermomechanical control process(in hot rolling strip mill) was employed to produce 2.25Cr-1Mo steel, which is to be construction material for the steam generator for power plant. Although the Conventional processes has been the primary means of producing the 2.25Cr-1Mo steel, an alternative method was used to meet the specification of ASTM heat treatment for A387-22-Classl using autotempering after coiling in hot rolling strip mill. The microstructures, tensile properties at various temperatures, and creep-rupture properties have been investigated to compare the properties with those of materials produced by the conventional process and to certify the application of the thermomechanical control process to an actual process of manufacturing 2.25-Cr-1Mo steel, this in turn, will reduce the cost of the process. About 14 to 34% glanular bainite (remainder proetectoid ferrite) formed in a coil, and this variety of volume fraction stems from the different cooling rates, which varies with position of the coil after coiling. Tensile testing from room temperature to 700$^{\circ}C$ indicated that strength increases with test temperature showing peaks at around 600$^{\circ}C$. Creep-rupture properties have been being investigated at the temperature of 500$^{\circ}C$ with 27.5, 32kg/$\textrm{mm}^2$ loads and have showed no rupture for over 1000 hours.

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A Yields Prediction in the Semiconductor Manufacturing Process Using Stepwise Support Vector Machine (SSVM(Stepwise-Support Vector Machine)을 이용한 반도체 수율 예측)

  • An, Dae-Wong;Ko, Hyo-Heon;Kim, Ji-Hyun;Baek, Jun-Geol;Kim, Sung-Shick
    • IE interfaces
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    • v.22 no.3
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    • pp.252-262
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    • 2009
  • It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM (SSVM), for detecting high and low yields. SSVM is step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and SSVM in the yield classification. The experimental results show that SVM and SSVM provides a promising alternative to yield classification for the field data.