• 제목/요약/키워드: Optimized process

검색결과 2,718건 처리시간 0.037초

전력 절감을 위한 PSA방식의 산소 발생기 공정 최적화 (Process optimization of PSA way Oxygen Concentrator for Electric Power Saving)

  • 지석환;이문규;이태수
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.1350-1354
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    • 2007
  • As the importance of low power design is emphasized, power consumption became one of the standards that represent the performance of the system. The purpose of this study is to decide design variable that minimize power consumption for the oxygen concentrator in two bed-one compressor 8 step PSA process that has above 90% purity at 3lpm by using given constants and selected parameters. Setting selected parameters as cycle time and equalization time, optimization for PSA process in the oxygen concentrator is progressed. For this, we need to know the features and basic principals of PSA process and to deduce objective function of performance analysis. Validations for objective function and lots of experiments are needed too. By using the characteristic curve of the compressor and the pressure curve of the process for 1 cycle, objective function was set. After theoretical 2 dimensional optimized paths was obtained. And then, by experiment, theoretical optimized path was verified.

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유전 알고리즘을 이용한 다중 양자 우물 구조의 갈륨비소 광수신소자 공정변수의 최적화 (Optimization of Device Process Parameters for GaAs-AlGaAs Multiple Quantum Well Avalanche Photodiodes Using Genetic Algorithms)

  • 김의승;오창훈;이서구;이봉용;이상렬;명재민;윤일구
    • 한국전기전자재료학회논문지
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    • 제14권3호
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    • pp.241-245
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    • 2001
  • In this paper, we present parameter optimization technique for GaAs/AlGaAs multiple quantum well avalanche photodiodes used for image capture mechanism in high-definition system. Even under flawless environment in semiconductor manufacturing process, random variation in process parameters can bring the fluctuation to device performance. The precise modeling for this variation is thus required for accurate prediction of device performance. The precise modeling for this variation is thus required for accurate prediction of device performance. This paper will first use experimental design and neural networks to model the nonlinear relationship between device process parameters and device performance parameters. The derived model was then put into genetic algorithms to acquire optimized device process parameters. From the optimized technique, we can predict device performance before high-volume manufacturign, and also increase production efficiency.

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Production of Alkaline Protease by Entrapped Bacillus licheniformis Cells in Repeated Batch Process

  • Mashhadi-Karim, Mohammad;Azin, Mehrdad;Gargari, Seyyed Latif Mousavi
    • Journal of Microbiology and Biotechnology
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    • 제21권12호
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    • pp.1250-1256
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    • 2011
  • In this study, Bacillus licheniformis cells were immobilized by entrapment in calcium alginate beads and were used for production of alkaline protease by repeated batch process. In order to increase the stability of the beads, the immobilization procedure was optimized by statistical full factorial method, by which three factors including alginate type, calcium chloride concentration, and agitation speed were studied. Optimization of the enzyme production medium, by the Taguchi method, was also studied. The obtained results showed that optimization of the cell immobilization procedure and medium constituents significantly enhanced the production of alkaline protease. In comparison with the free-cell culture in pre-optimized medium, about 7.3-fold higher productivity was resulted after optimization of the overall procedure. Repeated batch mode of operation, using optimized conditions, resulted in continuous production of the alkaline protease for 13 batches in 19 days.

압입축 끝단의 손상저감을 위한 보스부 형상 최적설계 (Optimization of Boss Shape for Damage Reduction of the Press-fitted Shaft End)

  • 변성광
    • 한국기계가공학회지
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    • 제14권3호
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    • pp.85-91
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    • 2015
  • The press-fit shaft is an important part used in automobiles, vessels, and trains. This study proposes an optimized design method to reduce damage that may occur in the press-fitted shaft by modifying the shape of the boss step of the press-fitted shaft. To reduce the time and cost of running the optimized design method, an approximate design optimization is applied and an optimized algorithm is generated using a genetic algorithm that is widely used in engineering fields and an approximate model using a response surface method. The planned experiments for the data that are needed to generate the approximate model use a central composite design (CCD) and Latin hypercube sampling (LHS), and the results of the approximate optimization using the above two design of experiments are to be compared.

아우터타이로드 최적화 모델의 구조성능시험 (Structural Performance Test of Optimized Outer Tie Rod)

  • 김종규;서선민;김영준;이동진;이슬;박영철;이권희
    • 한국기계가공학회지
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    • 제11권5호
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    • pp.82-87
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    • 2012
  • The outer tie rod that is a part of steering system connects the steering gear to the steering knuckle via the inner tie rod. The formal study suggested the optimized structural design of an outer tie rod installed in a passenger car. Its weight is 284.7g, which is 57.2% lighter weight than initial steel model. This study validates the optimized design of the outer tie rod considering buckling and durability. The assembled unit of an inner tie rod and outer tie rod is utilized to perform the test of the bending strength of the outer tie rod. On the contrary, 1/2 car is utilized to perform the test of its durability performance.

인공지능프로세서 기술 동향 (Trends in AI Processor Technology)

  • 이미영;정재훈;이주현;한진호;권영수
    • 전자통신동향분석
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    • 제35권3호
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    • pp.66-75
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    • 2020
  • As the increasing expectations of a practical AI (Artificial Intelligence) service makes AI algorithms more complicated, an efficient processor to process AI algorithms is required. To meet this requirement, processors optimized for parallel processing, such as GPUs (Graphics Processing Units), have been widely employed. However, the GPU has a generalized structure for various applications, so it is not optimized for the AI algorithm. Therefore, research on the development of AI processors optimized for AI algorithm processing has been actively conducted. This paper briefly introduces an AI processor especially for inference acceleration, developed by the Electronics and Telecommunications Research Institute, South Korea., and other global vendors for mobile and server platforms. However, the GPU has a generalized structure for various applications, so it is not optimized for the AI algorithm. Therefore, research on the development of AI processors optimized for AI algorithm processing has been actively conducted.

최적화 설계를 통한 혼합가스 성능시험용 고온 고압 용기의 제작 (Manufacture of High-temperature High-pressure Vessel for Mixed Gas Performance Test via Optimized Design)

  • 구현곤;류형민;안재웅;배영관;김진희
    • 한국기계가공학회지
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    • 제18권11호
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    • pp.83-88
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    • 2019
  • In this study, the high-temperature high-pressure vessel was successfully manufactured, which can be used to store pressurized air and to increase the temperature for the mix performance test of high-temperature high-pressure air with coolant (e.g., water). In this research, static structure analysis and transient thermal analysis were performed using the commercial software Midas NFX 2015 R1. Based on the results, the optimized pressure vessel design was carried out. As a result of the optimized design, the minimum stress and minimum weight were found at 120 mm of the vessel thickness, and the optimized pressure vessel was verified. Finally, through manufacture and performance test (e.g., the non-destructive inspection and hydraulic pressure test), the reliability and safety were validated for the designed pressure vessel.

사각형상 플랜지 액압성형 공정 시 결함특성 분석 (Analysis of Defect Characterization in a Rectangular Shape Flange Hydroforming Process)

  • 신세계로;주병돈;한상욱;이철환;문영훈
    • 소성∙가공
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    • 제22권5호
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    • pp.275-279
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    • 2013
  • The tube hydroforming process has received much attention in the automotive industry because of its advantages compared to conventional manufacturing technologies. A wide range of products such as sub-frames, camshafts, radiator frames, axles and crankshafts are made by hydroforming process. The hydroformed parts often need to be structurally joined to other components during assembly. Therefore, these automotive parts need to be manufactured with a localized attachment flange. In this study, FE forming analyses of a part with a rectangular flanged shape was performed with Dynaform 5.5. Using the optimized conditions determined numerically, hydroforming experiments were performed. Then, the characterization of defects was analyzed. Finally, the accuracy of the optimized internal pressure condition as well as that of the initial ram position were evaluated. The results demonstrated that flanged parts can be successfully produced using the tube hydroforming process.

MEMS-based 마이크로 터보기계의 개발 (Development of MEMS-based Micro Turbomachinery)

  • 박건중;민홍석;전병선;송성진;주영창;민경덕;유승문
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집E
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    • pp.169-174
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    • 2001
  • This paper reports on the development of high aspect ratio structure and 3-D integrated process for MEMS-based micro gas turbines. To manufacture high aspect ratio structures, Deep Reactive Ion Etching (DRIE) process have been developed and optimized. Specially, in this study, structures with aspect ratios greater than 10 were fabricated. Also, wafer direct bonding and Infra-Red (IR) camera bonding inspection systems have been developed. Moreover, using glass/silicon wafer direct bonding, we optimized the 3-D integrated process.

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상계해법과 유한요소법을 이용한 스피닝공정 해석에 관한 연구 (A Study on the Process of Tube End Spining by the Upper bound Method and Finite Element Method)

  • 김진형;홍성인;이영선
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1996년도 춘계학술대회논문집
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    • pp.23-30
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    • 1996
  • The purpose of this study was to investigate changes in thewall thickness of tube sinking and working forces by the upper bound method and ABAQUS code. The independent variables were : Workpiece material, original wall thickness of tube, die angle, friction, and diameter reduction. The results indicated that of these five variables were a factor in wall-thickness increase and working forces. Three variables, a inner tube wall angle and two angles of the velocity discontinuous surfaces, are optimized in this proposed velocity field by the upper bound method. In this method, we can estimate the working forces and final tube thicknesses whcih are similar to acturla forming process. Optimized process variables which are obtained by upper bound method are used in ABAQUS pre-model . In ABAQUS analysis, the stress and the strain contours which are considered to be heat generation occured by the friction during forming process are observed.

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