• Title/Summary/Keyword: DOE

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Effect of Shape Parameters of Tool on Improvement of Joining Strength in Clinching (클린칭 접합력 향상을 위한 금형 형상변수의 영향도 평가)

  • Kim, J.Y.;Lee, C.J.;Lee, S.K.;Ko, D.C.;Kim, B.M.
    • Transactions of Materials Processing
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    • v.18 no.5
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    • pp.392-400
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    • 2009
  • Clinching is a method of joining sheet metals together. This process can be substituted for the resistance spot welding on the joining of aluminum alloys. However, the joining strength of the clinching is lower than that of welding and riveting. The objective of this paper is to evaluate the effect of shape parameters of tools on the joining strength of the clinching and to optimize clinching tools. Twelve parameters have been selected as shape parameters on the clinching tools such as punch and die. The design of experiments (DOE) method is employed to investigate the effect of the shape parameters of tools on the joining strength of the clinching. The neck thickness and undercut of the clinched sheet metal after the clinching, and the separation load at detaching are estimated from the result of FEA using DEFORM. Optimal combination of shape parameters to maximize the joining strength of clinching is determined on the basis of the result of DOE and FEA. In order to validate the result of DOE and FEA, the experiment of clinching is performed for the optimal combination of shape parameters. It is shown from the result of the experiment that optimization of shape parameters improves the joining strength of clinching.

Determination of Protein Requirements for Maintenance of Elk Doe

  • Kim, Kwan-Woo;Lee, Jinwook;Kim, Dong-Gyo;Lee, Eun-Do;Lee, Sung-Soo;Kim, Do Hyung;Lee, Sang-Hoon
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.40 no.3
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    • pp.177-181
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    • 2020
  • Data on the crude protein requirements of elk doe are nonexistent and the data are essential for their management in Korea. Therefore, this study was conducted to evaluate the crude protein requirement for maintenance of elk doe. Three female elk deer were used in 3 × 3 Latin square design with three diets containing three levels of crude protein (CP) that contained low crude protein (approximately 12%), medium crude protein (15%), and high crude protein (18%). Each three elk doe trials included a 14-day preliminary period and a 5-day collection period. Crude protein intake was 4.83, 6.26, and 9.00 g/d for 12%, 15%, and 18% of CP level, respectively. Crude protein balances were 1.04, 1.41, and 4.14 for 12%, 15%, and 18% of CP level, respectively. The maintenance requirement for CP from the regression equation between CP intake and CP balance were 3.70 g/BW0.75.

Optimization Study of Trace Analysis of Potential Diesel Oxygenate Using the Design Of Experiment (DOE) in Solid-Phase Microextraction with GC/FID (고체상미량분석법(SPME-GC/FID)에서 실험계획법을 이용한 디젤첨가제 미량분석의 최적화 연구)

  • Park, Jae-Sang;Chang, Soon-Woong
    • Journal of Soil and Groundwater Environment
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    • v.12 no.5
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    • pp.73-85
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    • 2007
  • In this study, the experiment of solid-phase microextraction (SPME) technique using GC/FID was conducted as a possible alternative to liquid-liquid extraction for the analysis of EGBE, DGBE, DBM and TGME in water, and also, an optimization condition of trace analysis for disel oxygenates including EGBE by the design of experiment (DOE) was described. Experiments used a fractional factorial design method followed by central composite design allowing optimization of a number of factors as well as statistical analysis of the results. The response surface analysis showed that the extraction efficiency could be represented by a second-order polynomial equation in which the salts concentration, extraction temperature, extraction time and sonication time are the major influences. Using DOE method, a new datadependent method was developed to improve the quantity of confidently analyzed disel oxygenates in water samples.

Optimization of a Centrifugal Compressor Impeller(II): Artificial Neural Network and Genetic Algorithm (원심압축기 최적화를 위한 연구(II): 인공지능망과 유전자 알고리즘)

  • Choi, Hyoung-Jun;Park, Young-Ha;Kim, Chae-Sil;Cho, Soo-Yong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.5
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    • pp.433-441
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    • 2011
  • The optimization of a centrifugal compressor was conducted. The ANN (Artificial Neural Network) was adopted as an optimization algorithm, and it was learned and trained with the DOE (Design of Experiment). In the DOE, it was predicted the main effect and the interaction effect of design variables to the objective function. The ANN was improved in the optimization process using the GA (Genetic Algorithm). When any output at each generation was reached a standard level, it was re-calculated by the CFD (Computational Fluid Dynamics) and it was applied to develop a new ANN. After 6th generation, the prediction difference between ANN and CFD was less than 1%. A pareto of the efficiency versus the pressure ratio was obtained through the 21th generation. Using this method, the computational time for the optimization was equivalent to the time consumed by the gradient method, and the optimized results of multi-objective function were obtained.

Optimal Design of Slim TV Wall Mount Arm with Cantilever Structure (외팔보 구조의 슬림형 TV 월마운트암의 최적설계)

  • Jang, Woon-Geun
    • Journal of the Korean Society of Industry Convergence
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    • v.14 no.4
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    • pp.167-172
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    • 2011
  • This paper investigated optimal design for slim wall mount arm for flat TV. Recently the number of flat TV sets in use went on increasing in TV market. As the flat TV sets are getting common, consumers came to need another requirements like aesthetic factor besides display performances. As the new TV sets tend to be slimmer due to aesthetic design, Wall mount also requires to be slimmer for aesthetic balance. Slim structures, however, are vulnerable to structural rigidity. In this study, slim wall mount arm has been designed by 3D CAD and DOE (Design of Experiments) and finite element analysis for optimal structural design were carried out to determine the design variables for minimize working stress of wall mount arm. Finally two optimal design conditions were selected through DOE and FEM and one of those was chosen under constraint of minimizing blanking developed length.

Study on the Bonding Property and Strength Evaluation in Bonding Interface Joints of Dissimilar Material using Response Surface Analysis (반응표면법을 이용한 이종재질의 접합 계면부 강도평가 및 접합특성에 관한 연구)

  • Lee, Seung-Hyun;Choi, Seong-Dae;Kim, Gi-Man;Lee, Jong-Hyung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.2
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    • pp.76-82
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    • 2009
  • In this papers, Study on the Bonding property and Strength Evaluation in Bonding interface Joints of Dissimilar material using DOE. We found optimal condition that uses experimental design method (Response Surface Analysis, DOE) used temperature, pressure, time on experiment factor. And we could get bonding condition and strength that break and crack do not happen in mechanical processing about united dissimilar material. And progress 3 point bending tests and verified result.

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A Study on Key Parameters and Characteristics in the Manufacturing Process of the Dual Pickup Objective Lens (Dual Pickup 대물렌즈의 생산을 위한 주요 Parameter 및 특성에 관한 연구)

  • Woo, Sun-Hee;Lee, Dong-Ju
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.3
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    • pp.117-124
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    • 2007
  • In order to operate CD and DVD compatibly in a pickup system, the objective lens comprise diffractive optical element(DOE) zone and aspheric curvature on its lens surface. The DOE objective lens is effective to simplify this dual-purpose pickup system of the 655nm and 785nm wavelength by using only one lens, but requires more precision manufacturing process and system due to the complicated shape. This paper presents the overall manufacturing process of this objective lens and describes main parameters in each process, for the correction of the aspheric surface in its core, the shrinkage compensation after injection molding, and the uniformity compensation by adjusting molding conditions.

Application of Design of Experiments and Numerical Analysis to Optimal Design for Injection Molding Processes of Electrical Parts (실험계획법과 수치해석을 연계한 정밀 전자부품 사출성형 공정의 최적설계)

  • Ahn, Jong-Ho;Choi, Sang-Ryun;Park, Keun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.7
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    • pp.1348-1356
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    • 2002
  • The present work concerns the optimal design for injection molding processes by using the design of experiments (DOE) and numerical analysis. The DOE approaches is planned to be able to consider two-way interaction, and have been applied progressively for both mold design and process design. Numerical analyses have been carried out as a design of experiments for mold parameters such as runner specifications and cooling channel configurations. In order to determine optimal process parameters, experiments have been performed for various process conditions with the DOE scheduling. As a result, the quality and productivity of the product have been improved, and the proposed approach can be successfully reflected on the industrial injection molding process of precision electronics parts.

Study on decreasing displacement of the MC(machining center) moved column with high-speed for optimization of acceleration and DOE(Design Of Experiment) (가속도 최적화 및 형상 최적화를 통한 수직 컬럼 이동형 머시닝 센터의 진동 저감에 대한 연구)

  • Cho, Young-Duk;Lee, Choon-Man;Yoon, Sang-Hwan;Chung, Won-Jee
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.1
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    • pp.35-42
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    • 2008
  • By the reason of increased demand of high productivity and quality, the manufacturer have an effort in many directions of a machine tool industries. Among there, we proposed method of decreasing displacement in MC(machining center). In other words, Quality related with vibration of a tool cutting products. For decreasing it, improved by optimizing a shape of the column-part and acceleration curves of motors. In this paper we could find design factors has much influence on decreasing the displacement using the DOE(Design of Experiments) and optimized the level of the factors using $ADAMS^{(R)}$ and $MINITAB.^{(R)}$ And we suggest optimized a acceleration curve using $Matlab^{(R)}$.

A Case Study of a Six Sigma Project for Improving Gate Painting Quality (게이트 도장 품질 개선을 위한 6시그마 프로젝트 사례 연구)

  • Hong, Sung-Hoon;Choi, Ik-Jun
    • Journal of Korean Society for Quality Management
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    • v.34 no.1
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    • pp.1-12
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    • 2006
  • This paper presents a six sigma project for improving gate painting quality in a medium-sized automotive part company. The project follows a disciplined process of five macro phases: Define, Measure, Analyze, Improve, and Control. A CTQ(critical to quality) is determined based on COPQ(cost of poor quality) analysis, and a process map is utilized for identifying process input variables. Three KPIV s(key process input variable) are selected; Painting Temperature, Painting Quantity, and Painting Viscosity, and DOE(design of experiments) is utilized for finding the optimal process conditions for three KPIVs. MINITAB software is used for data analyses and DOE. The sigma level of defects rate has improved from 2.93 to 3.66.