• 제목/요약/키워드: Tolerance optimization

검색결과 143건 처리시간 0.023초

유전자총 실험조건 최적화를 통한 형질전환 백합 식물체 생산 (Optimization of a protocol for the production of transgenic lily plants via particle bombardment)

  • 김종보
    • Journal of Plant Biotechnology
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    • 제44권1호
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    • pp.82-88
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    • 2017
  • 유전자총을 이용한 형질전환 체계와 PPT (D-L-phosphinothricin) 선발을 통하여 나리 인편조직으로부터 형질전환 식물체가 획득되었다. 본 연구에서 나리 '레드플레임' 품종의 인편조직에 선발유전자로 제초제저항성 유전자인 bar 유전자 그리고 내염성과 내건성의 복합환경저항성을 나타내는 AtSIZ 유전자를 목적유전자로 가지고 있는 플라스미드를 금입자에 코팅해서 유전자총을 이용해서 형질전환 하였다. 이러한 형질전환 체계 확립을 위해 헬륨가스 압력은 1,100 psi, 금 입자크기는 $1.0{\mu}m$ 그리고 목적 절편체까지의 거리는 6 cm 그리고 유전자총 처리 24시간 전과 후에 0.2 M sorbitol과 0.2 M mannitol을 혼합해서 MS배지에 첨가한 프로토콜로부터 우수한 형질전환 결과를 나타내었다. 유전자총 발사 처리 후, 1주간 선발제로 사용되는 PPT가 없는 MS 배지로 이식하여 배양 후, PPT 10 mg/l이 첨가된 선발배지에서 4주 간격의 계대배양을 통해 8-12주간 선발과정을 거친다. PPT 선발 배지에서 생존한 신초가 형성된 형질전환 나리 인편 조직들을 호르몬이 없는 MS 배지로 다시 옮겨주면 발근 및 추가 생육이 이루어진다. 생존한 형질전환 나리 기내 소식물체들로부터 PCR 검정을 통해 선발유전자인 bar 유전자 그리고 목적유전자인 AtSIZ 유전자의 도입이 확인되었다. 결론적으로 100여개의 나리 인편조직을 본 연구에서 확립된 유전자총 실험프로토콜을 이용하면 대략적으로 형질전환 나리 17-18 개체를 획득할 수 있으며 본 연구에 기술된 유전자 총 매개 형질전환 체계는 추가적인 보완이 이루어지면, 향후 나리 육종 프로그램에 기여할 것이다.

DEVELOPMENT OF AN OPTIMIZATION TECHNIQUE OF A WARM SHRINK FITTING PROCESS FOR AN AUTOMOTIVE TRANSMISSION PARTS

  • Kim, H.Y.;Kim, C.;Bae, W.B.
    • International Journal of Automotive Technology
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    • 제7권7호
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    • pp.847-852
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    • 2006
  • A fitting process carried out in the automobile transmission assembly line is classified into three classes; heat fitting, press fitting, and their combined fitting. Heat fitting is a method that applies heat in the outer diameter of a gear to a suitable range under the tempering temperature and assembles the gear and the shaft made larger than the inner radius of the gear. Its stress depends on the yield strength of a gear. Press fitting is a method that generally squeezes gear toward that of a shaft at room temperature by a press. Another method heats warmly gear and safely squeezes it toward that of a shaft. A warm shrink fitting process for an automobile transmission part is now gradually increased, but the parts (shaft/gear) assembled by the process produced dimensional change in both outer diameter and profile of the gear so that it may cause noise and vibration between gears. In order to solve these problems, we need an analysis of a warm shrink fitting process in which design parameters such as contact pressure according to fitting interference between outer diameter of a shaft and inner diameter of a gear, fitting temperature, and profile tolerance of gear are involved. In this study, an closed form equation to predict the contact pressure and fitting load was proposed in order to develop an optimization technique of a warm shrink fitting process and verified its reliability through the experimental results measured in the field and FEM, thermal-structural coupled field analysis. Actual loads measured in the field have a good agreement with the results obtained from theoretical and finite element analysis and also the expanded amounts of the outer diameters of the gears have a good agreement with the results.

음식물찌꺼기 소멸효율 재고를 위한 발효균 및 발효 공정 최적화 연구 (Studies on the Selection of Microorganism for Food Wastes and Optimization of Fermentation Process)

  • 김영권;홍명표;김명진;홍석일;박명석;김종석;장호근
    • 유기물자원화
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    • 제6권2호
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    • pp.95-112
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    • 1998
  • 186종의 후보미생물을 대상으로 우수발효(소멸)균 선발시험을 실시한 결과, Rhizopus sp., Galactomyecs sp., Pichia sp., Hyphopichia sp.로 구성되는 4종의 발효균을 선발하였다. 이들 발효균을 이용한 발효(소멸)공정 시험결과, 내용적 50L의 발효조에 대해서, BIO-CHIP Volume 25-30L, BIO CHIP입도 2.0-6.0mm, 송풍량 200-280L/min, 교반강도 24 rpm, 온도 $30-45^{\circ}C$가 최저 발효조건인 것으로 나타났으며, 이러한 조건에서 1일 1kg의 음식물을 30일간 투입하면서 소멸기를 가동한 결과, 93%의 소멸율을 나타내었다. 소멸기 배출물의 재활용 가치를 평가하기 위하여, 발아율 시험을 실시한 결과, 배출물을 적절하게 희석하여 사용하면, 퇴비로서의 가치가 매우 양호한 것으로 나타났다.

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자동차 변속기 단품(축/기어)용 온간압입공정 최적화 기법 개발 (Development of Optimization Technique of Warm Shrink Fitting Process for Automobile Transmission Part(Shaft/Gear))

  • 김호윤;배원병;김철
    • 한국정밀공학회지
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    • 제23권5호
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    • pp.37-43
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    • 2006
  • Fitting process carried out in automobile transmission assembly line is classified into three classes; heat fitting, press fitting, and their combined fitting. Heat fitting is a method that heats gear to a suitable range under the tempering temperature and squeezes it toward the outer diameter of shaft. Its stress depends on the yield strength of gear. Press fitting is a method that generally squeezes gear toward that of shaft at room temperature by press. Another method heats warmly gear and safely squeezes it toward that of shaft. Warm shrink fitting process for automobile transmission part is now gradually increased, but the parts (shaft/gear) assembled by this process produced dimensional change in both outer diameter and profile of the gear. So that it may cause noise and vibration between gears. In order to solve these problems, we need an analysis of warm shrink fitting process, in which design parameters are involved; contact pressure according to fitting interference between outer diameter of shaft and inner diameter of gear, fitting temperature, and profile tolerance of gear. In this study, an closed form equation to predict contact pressure and fitting load was proposed in order to develop optimization technique of warm shrink fitting process and verified its reliability through the experimental results measured in the field and FEM, that is, thermal-structural coupled field analysis. Actual loads measured in the field have a good agreement with the results obtained by theoretical and finite element analysis and also the expanded amounts of the outer diameters of the gears have a good agreement with results.

유전알고리즘을 이용한 신경망 구조 및 파라미터 최적화 (Neural Network Structure and Parameter Optimization via Genetic Algorithms)

  • 한승수
    • 한국지능시스템학회논문지
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    • 제11권3호
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    • pp.215-222
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    • 2001
  • 신경망은 선형 시스템뿐만 아니라 비선형 시스템에 있어서도 탁월한 모델링 및 예측 성능을 갖고 있다. 하지만 좋은 성능을 갖는 신경망을 구현하기 위해서는 최적화 해야할 파라미터들이 있다. 은닉층의 뉴런의 수, 학습율, 모멘텀, 학습오차 등이 그것인데 이러한 파라미터들은 경험에 의해서, 또는 문헌들에서 제시하는 값들을 선택하여 사용하는 것이 일반적인 경향이다. 하지만 신경망의 전체적인 성능은 이러한 파라미터들의 값에 의해서 결정되기 때문에 이 값들의 선택은 보다 체계적인 방법을 사용하여 구하여야 한다. 본 논문은 유전 알고리즘을 이용하여 이러한 신경망 파라미터들의 최적 값을 찾는데 목적이 있다. 유전 알고리즘을 이용하여 찾은 파라미터들을 사용하여 학습된 신경망의 학습오차와 예측오차들을 심플렉스 알고리즘을 이용하여 찾는 파라미터들을 사용하여 학습된 신경망의 오차들과 비교하여 본 결과 유전 알고리즘을 이용하여 찾을 파라미터들을 이용했을 때의 신경망의 성능이 더욱 우수함을 알 수 있다.

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레이저 열-압착 본딩 시스템의 Lateral Force 감소를 위한 유연 힌지의 설계 (Design of flexure hinge to reduce lateral force of laser assisted thermo-compression bonding system)

  • 이동원;하석재;박정연;윤길상
    • Design & Manufacturing
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    • 제14권3호
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    • pp.23-30
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    • 2020
  • Laser Assisted Thermo-Compression Bonding (LATCB) has been proposed to improve the "chip tilt due to the difference in solder bump height" that occurs during the conventional semiconductor chip bonding process. The bonding module of the LATCB system has used a piezoelectric actuator to control the inclination of the compression jig on a micro scale, and the piezoelectric actuator has been directly coupled to the compression jig to minimize the assembly tolerance of the compression jig. However, this structure generates a lateral force in the piezoelectric actuator when the compression jig is tilted, and the stacked piezoelectric element vulnerable to the lateral force has a risk of failure. In this paper, the optimal design of the flexure hinge was performed to minimize the lateral force generated in the piezoelectric actuator when the compression jig is tilted by using the displacement difference of the piezoelectric actuator in the bonding module for LATCB. The design variables of the flexure hinge were defined as the hinge height, the minimum diameter, and the notch radius. And the effect of the change of each variable on the stress generated in the flexible hinge and the lateral force acting on the piezoelectric actuator was analyzed. Also, optimization was carried out using commercial structural analysis software. As a result, when the displacement difference between the piezoelectric actuators is the maximum (90um), the maximum stress generated in the flexible hinge is 11.5% of the elastic limit of the hinge material, and the lateral force acting on the piezoelectric actuator is less than 1N.

핫블로우 포밍을 이용한 고강도 알루미늄 루프 사이드 레일 설계 (Design of Roof Side Rail by Hot Blow Forming using High Strength Aluminum)

  • 김민기;이정흠;고대철
    • 소성∙가공
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    • 제32권6호
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    • pp.311-320
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    • 2023
  • Recently, lightweight of automotive parts has been required to solve environmental problems caused by global warming. Accordingly, research and development are proceeded on manufacturing of parts using aluminum that can replace steel for lightweight of the automotive parts. In addition, high strength aluminum can be applied to body parts in order to meet both requirements of lightening and improving crash safety of vehicle. In this study, hot blow forming of roof side rail is employed to manufacturing of the automotive parts with high strength aluminum tube. In hot blow forming, longer forming times and excessive thinning can be occurred as compared with conventional manufacturing processes. So optimization of process conditions is required to prevent excessive thinning and to uniformize thickness distribution with fast forming time. Mechanical properties of high strength aluminum are obtained from tensile test at high temperature. These properties are used for finite element(FE) analysis to investigate the effect of strain rate on thinning and thickness distribution. Variation of thickness was firstly investigated from the result of FE analysis according to tube diameter, where the shapes at cross section of roof side rail are compared with allowable dimensional tolerance. Effective tube diameter is determined when fracture and wrinkle are not occurred during hot blow forming. Also FE analysis with various pressure-time profiles is performed to investigate the their effects on thinning and thickness distribution which is quantitatively verified with thinning factor. As a results, optimal process conditions can be determined for the manufacturing of roof side rail using high strength aluminum.

신뢰성 해석을 이용한 심해용 내압용기의 최적화 (Optimization of the Deep-sea Pressure Vessel by Reliability analysis)

  • 정태환;노인식;이재환;한승호
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2004년도 학술대회지
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    • pp.190-197
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    • 2004
  • In order to consider statistical properties of probability variables used in the structural analysis, the conventional approach using the safety factor based on past experience usually estimated the safety of a structure. Also, the real structures could only be analyzed with the error in estimation of loads, material characters and the dimensions of the members. But the errors should be considered systematically in the structural analysis. In this paper, we estimated the probability of failure of the pressure vessel. And also, this paper presents sensitivity values of the random variable. Finally, we show that reliability index and probability of failure can present the tolerance limit of dimension of randam variables.

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클라우드 컴퓨팅에서 적응적 VM 마이그레이션 기법 개발 (A Development of Adaptive VM Migration Techniques in Cloud Computing)

  • 이화민
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제4권9호
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    • pp.315-320
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    • 2015
  • 클라우드 컴퓨팅에서 서버 가상화는 한 대의 물리적인 서버를 다수의 가상머신으로 분할하여 다양한 운영체제 및 애플리케이션을 구동하는 기술이다. 가상머신의 마이그레이션은 현재 실행 중인 가상머신을 소스 호스트에서 다른 물리적인 장치인 타깃 호스트로 이동하는 것이다. 가상머신의 라이브 마이그레이션은 작업 수행 성능의 최적화와 저전력 지원 및 에너지 절감, 결함포용, 노드들 간의 부하 균형을 제공하기 위한 필수적인 요소이다. 본 논문에서는 오픈소스 기반의 적응적 VM 라이브 마이그레이션 기법을 제안한다. 이를 위해 적응적 VM 마이그레이션 시점을 결정하는 VM 모니터링 모듈을 제안하고 오픈소스 기반 전가상화를 지원하는 하이퍼바이저를 설계하였다.

Robust Parameter Design via Taguchi's Approach and Neural Network

  • Tsai, Jeh-Hsin;Lu, Iuan-Yuan
    • International Journal of Quality Innovation
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    • 제6권1호
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    • pp.109-118
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    • 2005
  • The parameter design is the most emphasized measure by researchers for a new products development. It is critical for makers to achieve simultaneously in both the time-to-market production and the quality enhancement. However, there are difficulties in practical application, such as (1) complexity and nonlinear relationships co-existed among the system's inputs, outputs and control parameters, (2) interactions occurred among parameters, (3) where the adjustment factors of Taguchi's two-phase optimization procedure cannot be sure to exist in practice, and (4) for some reasons, the data became lost or were never available. For these incomplete data, the Taguchi methods cannot treat them well. Neural networks have a learning capability of fault tolerance and model free characteristics. These characteristics support the neural networks as a competitive tool in processing multivariable input-output implementation. The successful fields include diagnostics, robotics, scheduling, decision-making, prediction, etc. This research is a case study of spherical annealing model. In the beginning, an original model is used to pre-fix a model of parameter design. Then neural networks are introduced to achieve another model. Study results showed both of them could perform the highest spherical level of quality.