• Title/Summary/Keyword: 공정분산 함수

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A Process Mean Shift Model Considering The Increasing Maintenance Cost and The Decreasing Production Volume (보전비용 증가와 생산량 감소를 고려한 공정평균이동 모형)

  • Lee, Do-Kyung
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.125-131
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    • 2021
  • The problem of determining the maintenance point which minimizes the process-related total cost is called the 'process mean shift problem'. By expanding and integrating the existing maintenance models that have been partially progressed, we present a expanded and integrated maintenance model which reflects the production site where various situations occur. To implement this, we set both the upper and lower limits of the product specification, and adopted the quality loss function for conforming items. Also, we set the process variance of the wear level as a function rather than a constant. In this study, we developed two general functions to the wear level. One is about the production volume and the other is maintenance cost. As a result, this study is expected to be a maintenance model that can be applied to various processes. In the future, this study can be developed as a profit maximization model by adding profit items from product sales, and expansion to a maintenance model that introduces failure to the model of this study can be considered.

Reheating Process of Metal Matrix Composite for Thixoforming (Thixoforming을 위한 금속복합재료의 재가열 공정)

  • 안성수;강충길;조형호
    • Composites Research
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    • v.13 no.4
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    • pp.19-32
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    • 2000
  • The fabrication process of particulate metal matrix composites(PMMCs) with homogeneous distribution of reinforcement and reheating for thixoforming has been studied. Both of eletro-magnetic stirring and mechanical stirring were used to fabricate particulate metal matrix composites(PMMCs) for variation of particle size. The electrical and mechanical processing conditions for fabricating PMMCs are also suggested. For thixoforming of PMMCs, fabricated bi1lets are reheated by using the designed optimal coil with as function of length between PMMC billet and coil surface, and coil diameter and billet. The effect of reinforcement distribution according to variation of billet temperature were investigated with solid fraction theory with a function of matrix alloy and volume fraction of reinforcement.

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Nonlinear Process Modeling Using Hard Partition-based Inference System (Hard 분산 분할 기반 추론 시스템을 이용한 비선형 공정 모델링)

  • Park, Keon-Jun;Kim, Yong-Kab
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.4
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    • pp.151-158
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    • 2014
  • In this paper, we introduce an inference system using hard scatter partition method and model the nonlinear process. To do this, we use the hard scatter partition method that partition the input space in the scatter form with the value of the membership degree of 0 or 1. The proposed method is implemented by C-Means clustering algorithm. and is used for the initial center values by means of binary split. by applying the LBG algorithm to compensate for shortcomings in the sensitive initial center value. Hard-scatter-partitioned input space forms the rules in the rule-based system modeling. The premise parameters of the rules are determined by membership matrix by means of C-Means clustering algorithm. The consequence part of the rules is expressed in the form of polynomial functions and the coefficient parameters of each rule are determined by the standard least-squares method. The data widely used in nonlinear process is used to model the nonlinear process and evaluate the characteristics of nonlinear process.

Neural Network Modeling of Actinometric Optical Emission Spectroscopy Information for Mo nitoring Plasma Process (플라즈마 공정 감시를 위한 Actinometric 광방사분광기 정보의 신경망 모델링)

  • Kwon, Sang-Hee;Bo, Kwang;Lee, Kyu-Sang;Uh, Hyung-Soo;Kim, Byung-Whan
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.177-178
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    • 2007
  • 플라즈마 공정은 집적회로 제작을 위한 미세 박막의 증착과 패턴닝에 핵심적으로 이용되고 있다. 본 연구에서는 플라즈마공정감시와 제어에 응용될 수 있는 모델을 제안한다. 본 모델은 광방사분광기 (Optical emission spectroscopy-OES)정보와 역전파 신경망을 이용해서 개발하였다. 제안된 기법은 Oxide 식각공정에서 수집한 데이터에 적용하였으며, 체계적인 모델링을 위해 공정데이터는 통계적 실험계획법을 적용하여 수집되었다. Raw OES 정보대신, Actinometric OES 정보를 이용하였으며, 신경망의 예측성능은 유전자 알고리즘을 이용해서 증진시켰다. OES의 차수를 줄이기 위해 주인자 분석 (Principal Component Analysis-PCA)을 세 종류의 분산(100, 99, 98%)에 대해서 적용하였다. 최적화한 모델의 예측에러는 323 $\AA/min$이었다. 이전에 PCA를 적용하고 은닉층 뉴런의 함수로 최적화한 모델의 예측에러는 570 $\AA/min$이었으며, 개발된 모델은 이에 비해 43% 증진된 예측 성능을 보이고 있다.

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Evaluation of Dispersion Characteristics for Liquefied Red Mud by Viscosity and Sediment Index (점도 및 침전지수에 의한 액상화 레드머드의 분산 특성평가)

  • Kang, Suk-Pyo;Kang, Hye-Ju
    • Journal of the Korea Institute of Building Construction
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    • v.17 no.6
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    • pp.517-525
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    • 2017
  • Red mud is an industrial by-product produced during the manufacturing aluminum hydroxide ($Al(OH)_3$) and aluminum oxide($Al_2O_3$) from Bauxite ores. In Korea, approximately 2 tons of red mud in a sludge form with 50% moisture content is produced when 1ton of $Al_2O_3$ is produced through the Bayer process. In the paper, dispersion characteristics of liquefied red mud that does not require heating and grinding process for recycling were investigated through viscosity and sediment index. The results showed that the sediment index of liquefied red mud increased but viscosity of that decreased with a higher W/R ratio. Also we proposed the range of initial viscosity from 2000cP to 8000cP and target sedimentation index below 20% at elapsed time 180days for stable dispersion of liquefied red mud.

Analysis of microstructural evolutions during advanced ceramics processing : I. Phase behavior of colloidal dispersion (세라믹 제조시 미세구조 변화의 해석 : I. 콜로이드 분산의 상거동)

  • Kim, Hern
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.7 no.4
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    • pp.599-609
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    • 1997
  • The phase behavior and dynamics of colloid suspensions and the resulting structures and properties of powder compacts were examined by a computer experimental method for cooperative packing processes. A wide range of properties and process conditions such as arbitrary particle size, medium densities, field strength, and temperature could be examined using the Peclet number (Pe). We demonstrated that an optimum range of Peclet number for the ordering of sediments was present and that the phenomena related to the ordering such as the onset of crystallization, the phase behavior, etc. strongly depend on process conditions. The present work appears to be useful to design the processing method of ceramic spherical submicron powders for the preparation of high-density green compacts.

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Characteristics of the Bundle Drawing Process by Random Phase Spectrum Method (임의 위상스펙트럼(RPS)법에 의한 집속인발 공정의 특성연구)

  • Huh You;Kim Jong-S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.201-202
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    • 2006
  • To analyze the dynamic characteristics of the bundle drawing process, we employed a Random Phase Spectrum method to generate stochastic test signals that had a given autocorrelation function. And the spectra of the dynamics of the process outputs were obtained, based on the dynamic model of the bundle drawing process. Results showed that the RPS method was very effective to generate stochastic signals that had an exponential function form. The drawing process had the traits that there existed a special frequency range, incurring the process resonance.

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방전플라즈마 소결법으로 제조한 Mo-Cu 합금 소결체의 물성 및 전기적 특성에 관한 연구

  • Lee, Han-Chan;Mun, Gyeong-Il;Lee, Bung-Ju;Sin, Baek-Gyun
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.02a
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    • pp.277-277
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    • 2011
  • Mo-Cu 합금은 고강도이고 우수한 열전도성 및 전기전도성를 가지는 특성이 있어 현재 방열소재, 반도체 부품, 자동차 부품 등 여러 응용분야에서 연구가 활발히 진행되고 있다. 본 연구에서는 서로 고용성이 없는 Mo-Cu 합금을 제조하기 위해서 Mo, Cu 분말을 PBM (Planetary Ball Milling) 방법을 이용하여 제조 하였으며, 제조된 분말은 SPS (Spark Plasma Sintering) 공정을 이용하여 소결체를 제조하였다. Mo-Cu의 조성 변화는 Cu의 함유량을 각각 5at%Cu, 10at%Cu, 20at%Cu로 조절하여 수행하였으며, PBM 의 공정 변수로 회전수(RPM), 볼과 분말의 비율, 분산제의 양, 볼밀 시간, 분위기 변화를 주어 최적조건을 얻기 위한 실험을 진행하였다. PBM 방법을 이용하여 제조한 분말은 PSA (Particle Size Analysis)에 의해 분말의 크기를 측정하고 EDS(Energy Disperse X-ray Spectrometer) 분석에 의해 조성을 확인하였으며, XRD (X-Ray Diffraction) 분석에 의해 Cu peak이 사라지는 조건을 PBM의 최적조건으로 잡고 실험을 진행하였다. 소결체를 고밀도화하기 위해 소결공정을 SPS 방식으로 하였으며 소결체의 경도, 내마모성, 마찰계수 일함수 등을 분석하기 위해 소결체의 크기를 직경 30 mm 및 두께 5 mm로 설계하였고, 소결 공정 변수로 소결온도를 각각 $900^{\circ}C$, $1000^{\circ}C$, $1100^{\circ}C$, 소결압력을 50MPa, 60MPa, 70MPa, 유지시간을 0분, 10분, 20분으로 차이를 주어, 소결체의 밀도차이와 물성차이를 분석하였다. 그 결과 PBM의 최적조건으로는 5at%Cu 에서는 10h, 10at%Cu, 20at%Cu 에서는 20h의 최적의 밀링 시간을 확인하였고, 다른 공정 변수의 최적조건으로는 회전수 300RPM, 10:1의 볼과 분말 비, 분산제 4wt%, Ar 분위기라는 조건을 얻을 수 있었다. 각각의 공정변수 변화에 따른 소결체 최적밀도 달성조건, 소결체 물성 및 전기적 특성 등의 상관관계에 관하여 보고한다.

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The Analysis of a Process Monitoring system based on Functional Link Associative Network (화학공정 감시를 위한 함수연결연상 신경망 시스템 구현)

  • Yoon En Sup;Cho Jae Kyu;Lee Dong Eon;Kim Yong Ha;Ahn Sung Jun
    • Journal of the Korean Institute of Gas
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    • v.7 no.3 s.20
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    • pp.24-31
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    • 2003
  • To operate process plant safely and economically, process monitoring is very important. There are a great number of data acquired through distributed control system and process information system. Fault monitoring is the task with difficulties owing to not only the huge amount of data, but also nonlinearity of chemical processes. In this research, the program, REFA, based on PCA and functional link associative neural network has developed. REFA has better learning capabilities, generalization abilities, and shorter learning time than existing neural network programs. In this work its usefulness has proven by application to Tennessee Eastman process.

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Stochastic Robust Kalman Filter using Recursive Oblique Projections (통계적 파라미터 불확실성을 고려한 사교사영 기반 선형 강인 칼만필터 설계)

  • Ra, Won-Sang;Whang, Ick-Ho
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.288-289
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    • 2007
  • 본 논문에서는 통계적 파라미터 불확실성을 포함한 시변 선형 불확정 시스템에 대한 강인 칼만필터링 문제를 고려한다. 최소자승 관점에서 정의된 공칭 칼만필터링 문제의 목적함수를 파라미터 불확실성의 통계적 특성을 이용하여 가용한 측정행렬의 함수로 표현하고, 이로부터 근사화된 선형공간 위로의 사교사영으로 해를 도출할 수 있음을 보인다. 최종적으로 벡터 최소자승 추정기법을 동일하게 적용하여, 순환강인 칼만필터식을 유도하고, 유도된 강인 칼만필터 식이 최근 제안된 강인 최소자승 추정식에 공정잡음 및 측정잡음 분산을 반영한 보완된 형태임을 확인한다.

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