• 제목/요약/키워드: Rolling Regression

검색결과 57건 처리시간 0.028초

후판 압연공정에서 폭방향 비대칭 변형거동 예측 및 설정모델에 관한 연구 (Prediction of Width-Direction Asymmetric Deformation Behavior and Its Setup Model in Plate Rolling)

  • 변상민
    • 대한기계학회논문집A
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    • 제35권11호
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    • pp.1437-1443
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    • 2011
  • 선박 건조를 위한 기본 자재인 후판은 압연공정을 통해 생산된다. 본 논문에서는 후판압연 중에 발생하는 폭방향 휨을 일으키는 비대칭 요인들을 제어할 수 있는 설정모델을 제시한다. 일련의 삼차원 유한요소해석을 통해서 휨과 비대칭 요인 사이의 관계를 예측한다. 그 관계를 무차원 변수로 이루어진 선형 방정식으로 수식화 시킴으로써 설정모델을 도출한다. 소재 폭방향으로 두께 편차와 온도차이가 있는 경우에 대해서 파이롯트 압연 시험으로 통해서 설정모델의 정도를 검증한다. 본 모델에 의해 예측된 휨 곡률이 각각의 비대칭 요인들에 의해 측정된 휨 곡률과 상당히 일치하는 결과를 보여 주었다.

조질압연에서의 연신율제어를 위한 set-up 모델 개발 (Development of Set-up Model for Elongation Control in Steel Skin Pass Mill)

  • 이원호
    • 소성∙가공
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    • 제10권2호
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    • pp.130-136
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    • 2001
  • The mathematical set-up model was developed to reduce the mechanical property deviation in annealed and slightly rolled steel strip. The mechanical peculiarities of skin pass rolling process, such as high friction value and non-circular contact arc, low reduction and non-negligible entry and exit elastic zones as well as central restricted deformation zone are all taken into account. The deformation of work rolls is calculated with the influence function method and arbitrary contact arc shape is permitted. The strip deformation is modeled by slab method and the entry and exit elastic deformation zones are included. The strip restricted deformation zone near the neutral point is also considered. It was revealed that the new model has better accuracy than present regression model by statistical analysis with actual mill rolling data.

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수직압연에 대한 압하력 예측 모델 (A FE-based Model for Predicting Roll Force in a Vertical Rolling Process)

  • 윤덕중;김용기;황상무
    • 소성∙가공
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    • 제20권8호
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    • pp.548-554
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    • 2011
  • A Finite Element (FE)-based model is proposed for predicting the roll force in an edger. The model is developed on the basis of the hypothetical mode of rolling and the least-squares regression analysis from the result of the FE approach. This model reflects the effect of process variables affected by the roll force, and has three dimensionless parameters, I.e., shape factor, reduction ratio and width-to-thickness ratio. The model prediction compared satisfactorily with experiment observations.

냉연판의 엣지드롭 해석 및 제어용 수식모델 개발 (Analysis of edge drop and development of numerical formula for edge drop control of cold rolled sheet)

  • 송길호;박해두;진철제;신성갑
    • 대한기계학회논문집A
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    • 제22권4호
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    • pp.723-730
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    • 1998
  • With the introduction of edge drop control system in Tandem Cold Rolling Mill, it is necessary to develop te numerical expression for the set-up and edge drop automatic control of cold rolled sheet. As a first step we developed a simulation program which predicts profile and the amounts of edge drop at the delivery side of each stand by using roll deformation anlysis with the slit roll model. And by using the program the effect of various rolling conditions on edge drop was investigated. As a result the relations were obtained between the amounts of edge drop and rolling conditions. Based on above relations, the numerical expression was developed for the set-up and automatic control of edge drop by multi-regression of simulation results for the variation of edge drop amount with each rolling condition.

유한요소해석과 반응표면법을 이용한 앵글바의 폭퍼짐 예측 및 공형설계에 관한 연구 (Roll Profile Design Considering Spread in Shape Rolling of Angle Bar by FE-analysis and Response Surface Method)

  • 이상진;고대철;이상곤;김병민
    • 한국정밀공학회지
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    • 제29권12호
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    • pp.1368-1375
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    • 2012
  • In this paper, a method for prediction of spread is proposed to design proper roll profile taking into account spread in shape rolling of angle bar. The effect of the process variables on spread, such as draught ratio, bending angle and aspect ratio, is analyzed by FE-analysis and response surface method (RSM). Roll profiles for equal angle bar are designed with the spread predicted by the regression equation. Effectiveness of the designed roll profiles are verified by FE-analysis in which the flange length, strain distribution, mean strain and roll torque are compared with those by Geuze. Finally, the proposed method is applied to the design of roll profile for unequal angle bar. As a result, the final product can be obtained within the allowable tolerance of ${\pm}0.5mm$ in length. Therefore, it is found that the prediction of spread can improve the efficiency of design roll profile in shape rolling of angle bar.

Development of Coil Breakage Prediction Model In Cold Rolling Mill

  • Park, Yeong-Bok;Hwang, Hwa-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1343-1346
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    • 2005
  • In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

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전파를 이용한 도체 Scale 분석에 Regression Progress 기법 이용 연구 (Regression Progress to Evaluate Metal Scale Thickness using Microwave)

  • 문성진;박위상
    • 한국인터넷방송통신학회논문지
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    • 제10권5호
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    • pp.1-5
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    • 2010
  • 본 논문은 열연 공정을 거친 철강 강판에 형성된 산화철 층, 즉 scale 층의 두께를 유전체 렌즈 안테나를 이용하여 측정하는 방법을 소개하였다. 유전체 렌즈 안테나는 X 밴드 대역에서 주파수에 독립적인 특성을 가지며, 혼 안테나에서 방사되는 구면파를 초점이 형성되는 평면에 평면파를 형성하는 역할을 한다. 이러한 동작원리를 이용하여 철강 강판에 형성된 scale 층에 완전 도체와 유전체로 형성된 two-layer 구조에 직각 입사하는 평면파의 이론적 해석이 적용될 수 있다. Scale의 두께를 도출해 내는 과정에서 유전체 렌즈의 영향을 최소화하기 위한 calibration 과정이 삽입되었으며, 이로 인한 반사 계수 위상의 오차가 발생하였다. 이러한 위상 오차에 의한 scale 두께의 오차를 줄이기 위하여, 수치적으로 regression 방법을 사용하였으며, 기존의 iteration 방법과 비교하여, 주기적으로 얻어지는 두께의 값이 아닌 단일 두께 값을 얻어낼 수 있었다.

도시가계의 10분위별 외식비 지출행태 분석 (An Analysis of Eating Out Expenditure Behavior of Urban Households by Decile Group)

  • 최문용;모수원;이광배
    • 한국산학기술학회논문지
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    • 제16권11호
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    • pp.7820-7830
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    • 2015
  • 우리나라 도시근로자의 가계소득과 외식비는 함께 증가하고 있으나, 시간이 경과와 더불어 가계소득에 비해 외식비 증가율이 크게 둔화되고 있을 뿐만 아니라 가계소득에서 외식비가 차지하는 비율도 감소하고 있다. 이러한 외식비 지출패턴의 변화는 소득계층에 따라서도 달라 외식비가 가계소득에서 차지하는 비중은 2005년 이후 감소하나 10분위의 외식비 비중이 가장 낮고 1분위의 비중이 가장 높다는 것과, 외식비 비중의 표준편차도 소득계층이 높을수록 작고 소득계층이 낮을수록 크다는 것을 보인다. 외식비모형에 회귀분석을 적용하여 소득계수가 모두 유의하며 소득분위가 높을수록 계수의 크기가 작다는 것과 외환위기는 1분위와 10분위를 제외하고 음의 부호로 유의하다는 것을 밝힌다. 1분위와 2분위에서는 계절에 따른 외식비 변화가 없으며, 소득계층이 높을수록 계절에 따른 외식이 분명해진다는 것도 제시한다. 시간이 흐름에 따른 외식비 패턴의 변화를 살펴보기 위하여 전향적 이동회귀를 실시하여 단순 추정에 따른 것보다 훨씬 빠른 속도로 외식비의 소득탄력성 감소가 이루어지고 있다는 것을 밝힌다. 외식비를 분산분해하여 소득수준이 낮은 계층에서는 소득이 중요한 변수이나 소득수준이 높은 계층에서는 소득 이외의 요인들이 외식비에 많은 영향을 미친다는 것을 보인다.

회귀적관점의 성과목표 설정에 관한 연구 -철도연구개발의 지식재산권 및 논문 성과를 중심으로- (A Study of Performance Target Setting of Regression point of view -Focusing on the Intellectual Right and a Paper for the Railway R&D)

  • 박만수;권용장;이희성
    • 대한안전경영과학회지
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    • 제12권3호
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    • pp.321-326
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    • 2010
  • Government evaluate annually a performance of government's R&D(Research & Development) and decide a budget and progress. So, a performance target setting of R&D is very important at the planning, The basic performance target setting of railroad R&D is clear. However, a scientific and technological performance target setting of railroad R&D is very difficult and a reasonable level of it can not be judged. Therefore, this study will suggest a solution for a scientific and technological performance target setting of railroad R&D through regression analysis of successfully finished railroad R&D, after judging a reasonability of a scientific and technological performance through comparing railroad R&D with the other R&D.

Factors Affecting Employee Loyalty in Railway Rolling Stock Maintenance Companies in Thailand

  • LIEOPHAIROT, Ratchaphong;ROJNIRUTTIKUL, Nuttawut
    • The Journal of Asian Finance, Economics and Business
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    • 제9권10호
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    • pp.115-127
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    • 2022
  • The study's goal was to investigate the levels of employee loyalty (EL) in two Thai railway rolling stock maintenance (RRSM) companies. Simple random sampling was used to obtain a final sample of 118 individuals from October 2021 through December 2021. The research instrument was a questionnaire with an expert IOC value between 0.67 to 1.00 and a questionnaire reliability Alpha (𝛼) average value of 0.82. Descriptive statistics included the mean and standard deviation (SD). SPSS for Windows Version 21 and Multiple Regression Analysis (MRA) was used for the analysis. Results showed that the 118 employee's overall perceptions of their RRSM employers' motivating factors, human resource management, satisfaction, and loyalty were high. HRM's performance evaluation had the most significant overall influence on EL. Moreover, from the analysis of the five EL questionnaire items, the most influential item was the employee's income as a contributing factor to their EL. This was followed by the suitability of their work. Also, it seems the employees had a high level of loyalty to their firms even if a better offer of more money was made. They also indicated a high level of pride in their respective firms.