• 제목/요약/키워드: Process Operation Analysis

검색결과 2,098건 처리시간 0.032초

AE 신호에 의한 연삭가공 표면거칠기 검출 (Extraction of the Surface Roughness in Grinding Operation by Acoustic Emission Signal)

  • 정성원
    • 한국산업융합학회 논문집
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    • 제2권2호
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    • pp.147-153
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    • 1999
  • An in-process extraction method of the ground surface roughness is a bottle-neck and essential field in conventional machining process. We define the D.A.R.F(Dimensionless Average Roughness Factor) that has a roughness characteristic of ground surface. D.A.R.F include the absolute average and the standard deviation values which are the analytic parameters of the AE(Acoustic Emission) signal generated during the grinding operation. The theoretical equation between the surface roughness and the D.A.R.F has been derived from the linear regressive analysis and verified its availability through the experimentation on the surface grinding machine.

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가솔린 기관의 공회전 시 밸브 타이밍 변경에 따른 잔류가스 유동 변화에 관한 해석적 연구 (Numerical Analysis of Flow Characteristic of Residual Gas due to Changes in Valve Timings during an Idle Operation in an SI Engine)

  • 이준호;김득상;백두성;조용석
    • 한국자동차공학회논문집
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    • 제14권6호
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    • pp.50-56
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    • 2006
  • Residual gas fraction in a combustion process is very crucial to improve combustion and cyclic variations. Especially, the residual gas fraction is strongly affected by backflow of the residual gas during the valve overlap period in an idle operation. Therefore, it is one of the most interesting that valve timings can affect flow characteristics of gas exchange process, especially during idle operation. This analysis investigates residual gas fraction with respect to valve timing changes which is critical for combustion efficiency and engine performance. Flow characteristics of residual gas by changing intake and exhaust valve timing are calculated by CFD methodology during an idle operation in an SI engine. It is analyzed that retarded EVO and advanced IVO results in the increase of valve overlap period and consequently, residual gas fraction. Futhermore, changes in IVO have stronger effects on variation of residual gas fraction.

하둡 및 스파크 기반 빅데이터 플랫폼을 이용한 선박 운항 효율 이상 상태 분석 (Detection of Abnormal Ship Operation using a Big Data Platform based on Hadoop and Spark)

  • 이태현;유은섭;박개명;유성상;박진표;문두환
    • 한국기계가공학회지
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    • 제18권6호
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    • pp.82-90
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    • 2019
  • To reduce emissions of marine pollutants, regulations are being tightened around the world. In the shipbuilding and shipping industries, various countermeasures are being put forward. As there are limits to applying countermeasures to ships already in operation, however, it is necessary for these vessels to use energy efficiently. The sensors installed on ships typically gather a very large amount of data, and thus a big data platform is needed to manage and analyze the data. In this paper, we build a big data analysis platform based on Hadoop and Spark, and we present a method to detect abnormal ship operation using the platform. We also utilize real ship operation data to discuss the data analysis experiment.

활성슬러지 공정에서의 조업지원용 전문가 시스템에 관한 연구 (A Study on the Operation Aid Expert System for Activated Sludge Process)

  • 조욱상;이진우;박상진;원종식;김상욱
    • 공업화학
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    • 제7권2호
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    • pp.371-378
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    • 1996
  • 경기도 광주군 소재 경안천 하 폐수 종말처리장을 실제 적용 대상으로하여 공정 조업상에 발생될 수 있는 문제점의 원인을 진단 및 분석하고 이에 적절한 대응 방안을 제시할 수 있는 조업지원 목적의 prototype의 전문가 시스템을 연구, 개발하여 실제 적용 test를 수행하였다. 특히 생물학적 폐수처리 공정인 폭기조와 최종 침전지상에서 발생될 수 있는 공정상의 문제점을 집중분석 (bulking 현상 등) 하여 100 여개의 production-rules로 구성된 지식베이스를 완성하므로써 공정의 안정적인 조업관리 및 유지가 가능하도록 하였고 조업에 있어서 전문 및 표준기술을 제공하므로써 특히 경험이 부족한 신입 현장 조업자들의 조업능률을 향상시킬 수 있었다. 향후의 과제는 조업 data를 통계처리하여 공정조업에 영향을 미치는 인자와 조업 제어변수간에 상관관계를 분석하고 최적의 조업조건을 제시할 수 있는 통계제어모델을 개발하여 전문가 시스템에 접목시킴으로써 Prototype이 아닌 완벽한 공정시스템 도구로 발전시키고자 한다.

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Markov Process 기반 RAM 모델에 대한 파라미터 민감도 분석 (Parametric Sensitivity Analysis of Markov Process Based RAM Model)

  • 김영석;허장욱
    • 시스템엔지니어링학술지
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    • 제14권1호
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    • pp.44-51
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    • 2018
  • The purpose of RAM analysis in weapon systems is to reduce life cycle costs, along with improving combat readiness by meeting RAM target value. We analyzed the sensitivity of the RAM analysis parameters to the use of the operating system by using the Markov Process based model (MPS, Markov Process Simulation) developed for RAM analysis. A Markov process-based RAM analysis model was developed to analyze the sensitivity of parameters (MTBF, MTTR and ALDT) to the utility of the 81mm mortar. The time required for the application to reach the steady state is about 15,000H, which is about 2 years, and the sensitivity of the parameter is highest for ALDT. In order to improve combat readiness, there is a need for continuous improvement in ALDT.

Canal Operation Simulation of Middle Route Project

  • Fan, Jie
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2008년도 학술발표회 논문집
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    • pp.26-32
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    • 2008
  • Middle Route Project, the largest water conveyance system in China delivers the water of Changjiang River to North China. In order to create canal operation simulation system, mathematical models are established based on the analysis of hydraulics about steady flow, unsteady flow, and check gate. By simulating the canal operation behavior, we improved the check gate control algorithm and predicted the change process of water surface and flow profile which is very valuable to actual canal operation.

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용액 개념의 순환학습이 초등학생의 인지수준발달에 미치는 영향 (The Effect of Learning Cycle Model in Solution Concept on the Cognitive Development for Primary Student)

  • 최영주;김세경;고영신
    • 한국초등과학교육학회지:초등과학교육
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    • 제23권4호
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    • pp.273-278
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    • 2004
  • According to Piaget, children aged 11 are in the middle of concrete operation period and formal operation period. So, it is necessary to adopt the Learning Cycle Model (LCM) which helps students improve their cognitive development. After determining the test for the Science Concept of Matter (SCOM), the experimental group showed higher average than the comparative group in the post-test. In the sound understanding, the experimental group showed higher ratio than the comparative group. And in the ratio of imperfect, wrong understanding and no response, the experimental group was lower than the comparative group. On the questions that were needed the complicated inquiry, many students of both groups still couldn't find the fundamental cause. In forming the scientific conceptualization, there was a meaningful difference (p < .001) after post-test Analysis of Covariance (ANCOVA) with pre-test result. After determining the test for the Test Inquiry Science Process (TISP), the experimental group showed higher average than the comparative group in the post-test. In the category of basic inquiry process which is needed in concrete operation, there was a meaningful difference (p < .05). In the category of unified inquiry process which is needed in formal operation, they showed no meaningful difference (p > .05). Therefore, applying the LCM to the chapter of 'Solution and Dissolving' is more effective on improving the scientific conceptualization and on helping the concrete operation abilities than the teacher centered learning.

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내포체 단백질의 개선된 대규모 재접힘 기술 (Improved Large-Scale Refolding Techniques for Inclusion Body Proteins)

  • 김인호;정봉현
    • KSBB Journal
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    • 제16권1호
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    • pp.11-14
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    • 2001
  • Techniques for protein refolding from inclusion body are discussed in view of its engineering application to large scale protein purification. Among the techniques, dilution and dialysis are mainly utilized due to simple operation. Membrane reactor, gel filtration chromatography, and continuous tank operation are emerging tools for their process-scale possibility in refolding. Reaction engineering approaches could be used to analyze the kinetic behaviour in the process scale refolding reactor. The kinetic analysis is helpful in the optimization of refolding yield in the refolding reactor.

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AN ADAPTIVE DISPATCHING ALGORITHM FOR AUTOMATED GUIDED VEHICLES BASED ON AN EVOLUTIONARY PROCESS

  • Hark Hwnag;Kim, Sang-Hwi;Park, Tae-Eun
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1997년도 춘계 학술대회 발표집
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    • pp.124-127
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    • 1997
  • A key element in the control of Automated Guided Vehicle Systems (AGVS) is dispatching policy. This paper proposes a new dispatching algorithm for an efficient operation of AGVS. Based on an evolutionary operation, it has an adaptive control capability responding to changes of the system environment. The performance of the algorithm is compared with some well-known dispatching rules in terms of the system throughput through simulation. Sensitivity analysis is carried out varying the buffer capacity and the number of AGVS.

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양산공정의 지속적 품질개선을 위한 Evolutionary Optimizer의 시스템 설계 (A System Design of Evolutionary Optimizer for Continuous Improvement of Full-Scale Manufacturing Processes)

  • 이창권;변재현;도남철
    • 산업공학
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    • 제18권4호
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    • pp.465-476
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    • 2005
  • Evolutionary operation is a useful tool for improving full-scale manufacturing process by systematically changing the levels of the process variables without jeopardizing the product. This paper presents a system design for the evolutionary operation software called 'evolutionary optimizer'. Evolutionary optimizer consists of four modules: factorial design, many variables, mixture, and mean/dispersion. Context diagram, data flow diagram and entity-relationship modelling are used to systematically design the evolutionary optimizer system.