• Title/Summary/Keyword: Optimal Conditions

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A Study on Optimal Process Conditions for Chip Encapsulation (반도체 칩 캡슐화 공정의 최적조건에 관한 연구)

  • 허용정
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.04b
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    • pp.477-480
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    • 1995
  • Dccisions of optimal filling conditions for the chip encapsulation have been done primarily by an ad hoc use of expertise accumulated over the years because the chip encapsulation process is quite complicated. The current CAE systems do not provide mold designers with necessary knowledge of the chip encapsulation for the successful design of optimal filling except flow simulation capability. There have been no attempts to solve the optimal filling problem in the process of the chip encapsulation. In this paper, we have constructed an design system for optimal filling to avoid short shot in the chip encapsulation process which combines an optimization methodology with CAE software.

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Prediction of Optimal Microwave Extraction Conditions for Functional Compounds from Agrimonia pilosa Ledeb Using Response Surface Methodology (반응표면분석법을 이용한 용아초 기능성 성분의 마이크로웨이브 최적 추출조건 예측)

  • Park, Jong Jin;Lee, Won Young
    • Korean Journal of Medicinal Crop Science
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    • v.24 no.4
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    • pp.263-270
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    • 2016
  • Background: In this study, microwave extraction was used, which is an effective method to extract useful bioactive substances as it requires low quantities of solvent and short time periods. The aim of this study was to determine the optimal extraction conditions for Agrimonia pilosa Ledeb. Methods and Results: The independent variables were ethanol concentration, microwave power, and extraction time, each of which had five levels. The dependent variables were total polyphenol and total flavonoid content, and DPPH radical scavenging activity. To determine the optimal extraction conditions for bioactive compounds, a response surface methodology was employed. Contour maps were generated from polynomial equations. The optimal conditions were then assumed by superimposing these contour maps. Based on the resulting graph, the optimal microwave extraction conditions for Agrimonia pilosa Ledeb were determined as 42 - 48% ethanol concentration, 240 - 280W microwave power, and 13 - 20 min of extraction time. Conclusions: Ethanol concentration had a significant effect on microwave extraction, in terms of total polyphenol and total flavonoid content, as well as DPPH radical scavenging activity. Microwave power and extraction time influenced the total polyphenol content, but not the total flavonoid content or the DPPH radical scavenging activity.

Evaluation on Enhanced Biodegradability in Landfill Leachate by Fenton Oxidation (Fenton 산화법에 의한 매립장 침출수의 생물 분해성 증진에 관한 평가)

  • Lee, Byung-Dae
    • Journal of the Korean Applied Science and Technology
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    • v.22 no.3
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    • pp.250-256
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    • 2005
  • This study was aimed to investigate treatment feasibility of leachate from D landfill that is located in gyr대ungbuk. From the analytical results of leachate, organic and nonbiodegradable matters were contained in high concentration. Thus chemical treatment was introduced to degrade nonbiodegradable matters in pre or post biological process. Two types of Fenton oxidation were adapted in this study. The first one is pre treatment process before biological treatment. The second one is post treatment process after biological treatment. The optimal conditions of both treatment methods were investigated as follows. In case of pre treatment process, the optimal conditions appeared in $Fe^{+2}/H_2O_2$(mmol/mmol): 0.1, $H_2O_2/CODcr$(mg/mg): 27.0, pH: 3 and reaction time: 2hrs. On the other hand, in case of post treatment process, the optimal conditions appeared in $Fe^{2+}$(mmol/mmol): 0.14, $H_2O_2/COD_{cr}$(mg/mg): 57.4, pH: 3 and reaction time: 1.25hrs. In the above optimal conditions, high COD removal was obtained in pre and post treatment process. Also it can expect that Fenton oxidation converted nonbiodegradable matters into biodegradable matters.

Optimal Trajectory Generation for Biped Robots Walking Up-and-Down Stairs

  • Kwon O-Hung;Jeon Kweon-Soo;Park Jong-Hyeon
    • Journal of Mechanical Science and Technology
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    • v.20 no.5
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    • pp.612-620
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    • 2006
  • This paper proposes an optimal trajectory generation method for biped robots for walking up-and-down stairs using a Real-Coded Genetic Algorithm (RCGA). The RCGA is most effective in minimizing the total consumption energy of a multi-dof biped robot. Each joint angle trajectory is defined as a 4-th order polynomial of which the coefficients are chromosomes or design variables to approximate the walking gait. Constraints are divided into equalities and inequalities. First, equality constraints consist of initial conditions and repeatability conditions with respect to each joint angle and angular velocity at the start and end of a stride period. Next, inequality constraints include collision prevention conditions of a swing leg, singular prevention conditions, and stability conditions. The effectiveness of the proposed optimal trajectory is shown in computer simulations with a 6-dof biped robot model that consists of seven links in the sagittal plane. The optimal trajectory is more efficient than that generated by the Modified Gravity-Compensated Inverted Pendulum Mode (MGCIPM). And various trajectories generated by the proposed GA method are analyzed from the viewpoint of the consumption energy: walking on even ground, ascending stairs, and descending stairs.

Process Optimization for Improving Resistance Welding Quality of Cylindrical Secondary Battery (원통형 이차전지의 저항용접 품질 향상을 위한 공정 최적화)

  • Chung, Ji Sun;Park, Soon Seo;Kim, Jee Ho;Kwon, Hyuck Moo;Hong, Sung Hoon;Lee, Min Koo
    • Journal of Korean Society for Quality Management
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    • v.48 no.1
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    • pp.69-86
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    • 2020
  • Purpose: This study aims to determine the optimal conditions for the spot welding process that mechanically connects the case of a cylindrical secondary battery and the negative tab. Methods: We use 33 factorial design to derive the optimal conditions for the spot welding process. The pulling strength, the cross-sectional area of nugget, and the shock test life are selected as response variables, which can represent the resistance welding quality. The input variables are selected as the welding time, welding voltage, and pressure, which are the controllable factors in the spot welding process. Results: The main effects of welding time and welding voltage and the interaction effect of welding time and welding voltage are significant. Conclusion: The optimal conditions for the spot welding process to mechanically join the negative electrode tab of the cylindrical secondary battery and the battery case are developed. The result shows that the pulling strength is increased by 44% compared to before improvement under optimal conditions.

Optimal Design for Indoor Thermal Environment based on CFD Simulation and Genetic Algorithms (CFD 연성해석과 유전자 알고리즘을 이용한 실내 열환경 최적설계에 관한 연구)

  • 김태연;이윤규
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.2
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    • pp.111-120
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    • 2004
  • The optimal design method of indoor thermal environment using CFD coupled simulation and genetic algorithms (GA) is developed in this study. CFD could analyze the thermal environment considering the distribution of temperature, velocity, etc. in a room. Therefore, It would be appropriate to use CFD for the optimal design method considering their distribution. In this paper, the optimal design means the most appropriate boundary conditions of the room among the conditions where the design target of indoor therm environment is achieved. Two step optimal indoor thermal environment design method is proposed. It includes the GA for searching the optimal indoor thermal environment design. To examine the performance of this method, the optimal design of hybrid ventilation system, which uses the natural cross ventilation and the radiation-cooling panel is conducted. The optimal design which satisfies the design target (thermal comfort, minimum cooling load, minimum vertical temperature difference) is found using two step optimal design method.

FRACTIONAL NONLOCAL INTEGRODIFFERENTIAL EQUATIONS AND ITS OPTIMAL CONTROL IN BANACH SPACES

  • Wang, Jinrong;Wei, W.;Yang, Y.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.14 no.2
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    • pp.79-91
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    • 2010
  • In this paper, a class of fractional integrodifferential equations of mixed type with nonlocal conditions is considered. First, using contraction mapping principle and Krasnoselskii's fixed point theorem via Gronwall's inequailty, the existence and uniqueness of mild solution are given. Second, the existence of optimal pairs of systems governed by fractional integrodifferential equations of mixed type with nonlocal conditions is also presented.

Analysis of Frequency Property for Optimal Operating Conditions of Mono-crystalline Si Solar Cell (단결정 실리콘 태양전지 최적 운전조건을 위한 주파수 특성 분석)

  • Kim, Ji-Woong;Choi, Yong-Sung;Lee, Gyung-Sub;Cho, Soo-Young
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.2060-2060
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    • 2011
  • This paper was investigated the frequency property for optimal operating conditions of mono-crystalline Si solar cell. An internal impedance of mono-crystalline Si solar cell was influenced frequency. An optimal operating conditions of solar cell was under about 10[kHz].

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The Recognition of Grinding Troubles Utilizing the Neural Network(III) - Establishment of Optimal Grinding Conditions- (신경회로망을 이용한 연삭가공의 트러블 인식 (III) -최적 연삭가공 조건의 설정 -)

  • 곽재섭;송지복
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.2
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    • pp.162-169
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    • 1998
  • Lacking for the skilled grinding operator possessed of the experiential knowledges in machine shop, there is the just requirement which includes the establishment of the optimal grinding conditions. Accordingly, we attemt to develope the selection system of optimal grinding conditions such as workpiece velocity, depth of cut and wheel velocity and to add the trouble shooting system by means of the neural network. Those systems are robust to the each machine error and environmental unstable state. In addition. we produce the loaming process that is progressed with additional data modified by skilled operators, and excluding is advanced to similarity of input data.

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Optimal Conditions for Maximizing Altitude of Sounding Rocket (사운딩로켓의 고도 극대화를 위한 최적조건)

  • Lee, Sang-Hyeon
    • Journal of the Korean Society of Propulsion Engineers
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    • v.16 no.3
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    • pp.41-48
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    • 2012
  • A study to determine the optimal jet conditions for maximizing altitude of the sounding rocket is conducted. The behavior of a simplified one-dimensional momentum equation including aerodynamic drag is investigated. The case where an analytic solution exists and the case where the mass flow rate is constant are calculated. The solutions are compared with numerical solutions. It is shown that there are the optimal jet conditions for maximizing altitude of a sounding rocket and the optimal condition is a function of the rocket mass ratio.