• Title/Summary/Keyword: rsm method

Search Result 498, Processing Time 0.031 seconds

A magnet pole shape Optimization of the Large scale BLDC Motor by using RSM (RSM을 이용한 대용량 BLDC 전동기의 영구자석의 최적화 연구)

  • Kim, Han-Deul;Shin, Pan-Seok;Park, Gwan-Soo;Kim, Dong-Sok
    • Proceedings of the KIEE Conference
    • /
    • 2006.04b
    • /
    • pp.167-169
    • /
    • 2006
  • 대용량 BLDC 모터의 진동 및 소음의 원인은 영구자석과 슬롯 개구부 형상에 의한 코깅토크와 전류 파형에 의하여 발생하게 된다. 특히 대용량 BLDC의 경우 코깅토크에 의한 진동 및 소음의 영향이 상대적으로 큰 값을 가지게 된다. 따라서 코깅토크 발생원인 중 하나인 영구자석의 형상에 RSM(Response Surface Method) 최적화 이론을 적용하여 코깅토크 저감을 연구하였다. FEM과 RSM을 결합하여 영구자석의 형상을 최적화한 결과 코깅토크의 ripple이 25%이상 감소되었다.

  • PDF

A Magnet Pole Shape Optimization of a Large Scale BLDC Motor Using a RSM With Design Sensitivity Analysis (민감도기법과 RSM을 이용한 대용량 BLDC 전동기 영구자석의 형상 최적화)

  • Shin, Pan-Seok;Chung, Hyun-Koo;Woo, Sung-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.58 no.4
    • /
    • pp.735-741
    • /
    • 2009
  • This paper presents an algorithm for the permanent magnet shape optimization of a large scale BLDC(Brushless DC) motor to minimize the cogging torque. A response surface method (RSM) using multiquadric radial basis function is employed to interpolate the objective function in design parameter space. In order to get a reasonable response surface with relatively small number of sampling data points, additional sampling points are added on the basis of design sensitivity analysis computed by using FEM. The algorithm has 2 stages: the first stage is to determine the PM arc angle, and the 2nd stage is to optimize the magnet pole shape. The developed algorithm is applied to a 5MW BLDC motor to get a minimum cogging torque. After 3 iterations with 4 design parameters, the cogging torque is reduced to 13.2% of the initial one.

A Study on the Optimal Design of Laminate for CNG composite vessel using ANSYS RSM (ANSYS RSM을 이용한 CNG차량 용기 필라멘트 와인딩 적층판 최적설계에 관한 연구)

  • Kim, Eui-Soo
    • Journal of the Korean Institute of Gas
    • /
    • v.13 no.4
    • /
    • pp.15-21
    • /
    • 2009
  • The fiber reinforced composite material is widely used in the multi-industrial field where the weight reduction of the infrastructure is demanded because of their high specific modulus and specific strength. Pressure vessels using this composite material have two main merits which are to cut down energy by reducing weight and to have long-term life due to corrosion resistance. In this paper, we developed optimal design module of laminate for CNG composite pressure vessel winding E-glass/epoxy based on Von-Mises yield criterion, Tsai-Hill theory and stress ratio using finite element method and ANSYS RSM(Response Surface Method).

  • PDF

A Structural Design Method Using Ensemble Model of RSM and Kriging (반응표면법과 크리깅의 혼합모델을 이용한 구조설계방법)

  • Kim, Nam-Hee;Lee, Kwon-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.3
    • /
    • pp.1630-1638
    • /
    • 2015
  • The finite element analysis has become an essential process to investigate the structural performance in many industry fields. In addition, the computer's performance is improving rapidly, but in large design problems, there is a limit to apply the optimal design techniques. For this, it is general to introduce a metamodel based optimization technique. The method to generate an approximate model can be classified into curve fitting and interpolation, and each representative one is response surface model and kriging interpolation method. This study proposes an ensemble model made of RSM and kriging to solve a structural design problem. The suggested method is applied to the designs of two bar and automobile outer tie rod.

A Posterior Preference Articulation Method to Dual-Response Surface Optimization: Selection of the Most Preferred Solution Using TOPSIS (쌍대반응표면최적화를 위한 사후선호도반영법: TOPSIS를 활용한 최고선호해 선택)

  • Jeong, In-Jun
    • Knowledge Management Research
    • /
    • v.19 no.2
    • /
    • pp.151-162
    • /
    • 2018
  • Response surface methodology (RSM) is one of popular tools to support a systematic improvement of quality of design in the product and process development stages. It consists of statistical modeling and optimization tools. RSM can be viewed as a knowledge management tool in that it systemizes knowledge about a manufacturing process through a big data analysis on products and processes. The conventional RSM aims to optimize the mean of a response, whereas dual-response surface optimization (DRSO), a special case of RSM, considers not only the mean of a response but also its variability or standard deviation for optimization. Recently, a posterior preference articulation approach receives attention in the DRSO literature. The posterior approach first seeks all (or most) of the nondominated solutions with no articulation of a decision maker (DM)'s preference. The DM then selects the best one from the set of nondominated solutions a posteriori. This method has a strength that the DM can understand the trade-off between the mean and standard deviation well by looking around the nondominated solutions. A posterior method has been proposed for DRSO. It employs an interval selection strategy for the selection step. This strategy has a limitation increasing inefficiency and complexity due to too many iterations when handling a great number (e.g., thousands ~ tens of thousands) of nondominated solutions. In this paper, a TOPSIS-based method is proposed to support a simple and efficient selection of the most preferred solution. The proposed method is illustrated through a typical DRSO problem and compared with the existing posterior method.

Optimum Design Criteria for Maximum Torque Density & Minimum Torque Ripple of SynRM according to the Rated Wattage using Response Surface Methodology (반응표면법을 이용한 동기형 릴럭턴스 전동기의 고토크밀도 및 저토크리플을 위한 용량별 최적설계)

  • Choi, Yun-Chul;Lee, Jung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.57 no.10
    • /
    • pp.1777-1781
    • /
    • 2008
  • This paper deals with optimum design criteria for maximum torque density & minimum torque ripple of Synchronous Reluctance Motor (SynRM) according to the rated wattage using response surface methodology (RSM). The RSM has been achieved to use the experimental design method in combination with Finite Element Method and well adapted to make analytical model for a complex problem considering of a number of interaction of design variables. The proposed procedure allows the definition of the rotor shape according to flux barrier number, starting from an existing motor or a preliminary design.

Rotor Design on Torque Ripple Reduction for a Synchronous Reluctance Motor with Concentrated Winding using Response Surface Methodology (반응표면법을 이용한 집중권선 동기 릴럭턴스 전동기의 토크 리플 저감에 관한 회전자 설계)

  • Park, Jung-Min;Lee, Jung-Ho
    • The Transactions of the Korean Institute of Electrical Engineers B
    • /
    • v.55 no.12
    • /
    • pp.623-627
    • /
    • 2006
  • This paper deals with the optimum rotor design solution on torque ripple reduction for a SynRM with concentrated winding using response surface methodology (RSM). The RSM has been achieved to use the experimental design method in combination with finite element method (FEM)and well adapted to make analytical model for a complex problem considering a lot of interaction of design variables. Comparisons are given with characteristics of a SynRM according to flux barrier number, flux barrier width variation, respectively.

An Optimal Efficiency Control of Reluctance Synchronous Motor using Direct Torque Control (직접 토크 제어를 이용한 릴럭턴스 동기 전동기의 최대 효율제어)

  • 김남훈;김동희;노채균;김민회;백원식
    • The Transactions of the Korean Institute of Power Electronics
    • /
    • v.8 no.3
    • /
    • pp.211-220
    • /
    • 2003
  • This paper presents an implementation of direct torque control (DTC) of Reluctance Synchronous Motor (RSM) with an efficiency optimization. The equipment circuit in Reluctance Synchronous Motor which consider with iron losses is theoretically analyzed and the optimal current ration between torque current and exiting current analytically derived to drive RSM at maximum efficiency. For RSM, torque dynamics can be maintained even with controlling the flux level because a torque is directly proportional to the stator current unlike induction motor. The experimental results are presented to validate the applicability of the proposed method. The developed control system show high efficiency features with 1.0 Kw RSM having 2.57 ratio of d/q reluctance.

Structural Optimization for Small Scale Vertical-Axis Wind Turbine Blade using Response Surface Method (반응표면법을 이용한 소형 수직축 풍력터빈 블레이드의 구조 최적화)

  • Choi, Chan-Woong;Jin, Ji-Won;Kang, Ki-Weon
    • The KSFM Journal of Fluid Machinery
    • /
    • v.16 no.4
    • /
    • pp.22-27
    • /
    • 2013
  • The purpose of this paper is to perform the structural design of the small scale vertical-axis wind turbine (VAWT) blade using a response surface method(RSM). First, the four design factors that have a strong influence on the structural response of blade were selected. Analysis conditions were calculated by using the central composite design(CCD), which is a typical design of experiment for the response surface method(RSM). Also, the significance of the central composite design(CCD) was verified using analysis of variance(ANOVA). The finite element analysis was performed for the selected analytical conditions for the application of response surface method(RSM). Finally, a optimization problem was solved with a objective function of blade weight and a constraint of allowable stress to achieve a optimal structural design of blade.

Simulation based improved seismic fragility analysis of structures

  • Ghosh, Shyamal;Chakraborty, Subrata
    • Earthquakes and Structures
    • /
    • v.12 no.5
    • /
    • pp.569-581
    • /
    • 2017
  • The Monte Carlo Simulation (MCS) based seismic fragility analysis (SFA) approach allows defining more realistic relationship between failure probability and seismic intensity. However, the approach requires simulating large number of nonlinear dynamic analyses of structure for reliable estimate of fragility. It makes the approach computationally challenging. The response surface method (RSM) based metamodeling approach which replaces computationally involve complex mechanical model of a structure is found to be a viable alternative in this regard. An adaptive moving least squares method (MLSM) based RSM in the MCS framework is explored in the present study for efficient SFA of existing structures. In doing so, the repetition of seismic intensity for complete generation of fragility curve is avoided by including this as one of the predictors in the response estimate model. The proposed procedure is elucidated by considering a non-linear SDOF system and an existing reinforced concrete frame considered to be located in the Guwahati City of the Northeast region of India. The fragility results are obtained by the usual least squares based and the proposed MLSM based RSM and compared with that of obtained by the direct MCS technique to study the effectiveness of the proposed approach.