• 제목/요약/키워드: Tolerance optimization

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최소민감도이론에 의한 조인트 부재의 공차설계 (Joint Tolerance Design by Minimum Sensitivity Theorem)

  • 임오강;류재봉;박배준;이병우
    • 전산구조공학
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    • 제11권1호
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    • pp.161-170
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    • 1998
  • 길이가 긴 원통형 실린더를 구성하는 데에 사용될 조인트 부재에 대한 공차설계를 수행하였다. 즉, 원통형 실린더를 체결할 때 사용되는 조인트 부품 가운데 스터드 볼트를 최소 민감도해석에 의해 공차설계를 하였다. 조인트 부재의 공차설계를 위한 최소 민감도 해석에 의한 정식화는 목적함수가 폰 마이세스 응력의 공차에 대한 민감도이고, 여러 부등호 제약식 중에서 자중이 부등호 제안식에 포함된다. 조인트 부재의 경우 자중에 대한 타당한 부등호 제안식을 설정하기 위하여 우선 확정적인 경우에 대한 최적설계를 수행하여 그 범위값을 선정하였다. 원통형 부재의 구조 응답은 축대칭 유한요소로서 구조해석을 수행하여 제안식을 설정하였으며, 직접미분에 의해서 설계 민감도를 구하여 ,최적화 알고리즘과 결합하여 최적의 공차를 제시하였다.

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실험계획법을 이용한 비정규 분포에 대한 신뢰도 계산 방법과 최적 설계에의 적용 (System Reliability Analysis for Nonnormal Distributions and Optimization Using Experimental Design Technique)

  • 서현석;장진호;곽병만
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집C
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    • pp.327-332
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    • 2001
  • An experimental design technique is developed for estimating the moments of system response functions. It is easy to implement and provides accurate results compared with other traditional methods. It is based on the work of Taguchi, later improved by D'Errico and Zaino. The existing experimental techniques, however, is applicable only for normally distributed cases. In this article the three-level Taguchi method is extended to obtain optimum choice for levels and weights to handle nonnormal distributions. A systematic procedure for reliability analysis is then proposed by using the Pearson system and the narrow system reliability bounds. Illustrative examples including a tolerance optimization problem are shown very accurate comparing with those by Monte-Carlo simulations and the first-order reliability method.

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Image Quality Evaluation and Tolerance Analysis for Camera Lenses with Diffractive Element

  • Lee, Sang-Hyuck;Jeong, Ho-Seop;Jin, Young-Su;Song, Seok-Ho;Park, Woo-Je
    • Journal of the Optical Society of Korea
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    • 제10권3호
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    • pp.105-111
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    • 2006
  • A novel image quality evaluation method, which is based on combination of the rigorous grating diffraction theory and the ray-optic method, is proposed. It is applied for design optimization and, tolerance analysis of optical imaging systems implementing diffractive optical elements (DOE). The evaluation method can predict the quality and resolution of the image on the image sensor plane through the optical imaging system. Especially, we can simulate the effect of diffraction efficiencies of DOE in the camera lenses module, which is very effective for predicting different color sense and MTF performance. Using this method, we can effectively determine the fabrication tolerances of diffractive and refractive optical elements such as the variations' in profile thickness, and the shoulder of the DOE, as well as conventional parameters such as decenter and tilt in optical-surface alignments. A DOE-based 2M-resolution camera lens module designed by the optimization process based on the proposed image quality evaluation method shows ${\sim}15%$ MTF improvement compared with a design without such an optimization.

A Robust Optimization Method Utilizing the Variance Decomposition Method for Electromagnetic Devices

  • Wang, Shujuan;Li, Qiuyang;Chen, Jinbao
    • Journal of Magnetics
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    • 제19권4호
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    • pp.385-392
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    • 2014
  • Uncertainties in loads, materials and manufacturing quality must be considered during electromagnetic devices design. This paper presents an effective methodology for robust optimization design based on the variance decomposition in order to keep higher accuracy of the robustness prediction. Sobol' theory is employed to estimate the response variance under some specific tolerance in design variables. Then, an optimal design is obtained by adding a criterion of response variance upon typical optimization problems as a constraint of the optimization. The main contribution of this paper is that the proposed method applies the variance decomposition to obtain a more accurate variance of the response, as well save the computational cost. The performance and robustness of the proposed algorithms are investigated through a numerical experiment with both an analytic function and the TEAM 22 problem.

An Offloading Strategy for Multi-User Energy Consumption Optimization in Multi-MEC Scene

  • Li, Zhi;Zhu, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권10호
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    • pp.4025-4041
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    • 2020
  • Mobile edge computing (MEC) is capable of providing services to smart devices nearby through radio access networks and thus improving service experience of users. In this paper, an offloading strategy for the joint optimization of computing and communication resources in multi-user and multi-MEC overlapping scene was proposed. In addition, under the condition that wireless transmission resources and MEC computing resources were limited and task completion delay was within the maximum tolerance time, the optimization problem of minimizing energy consumption of all users was created, which was then further divided into two subproblems, i.e. offloading strategy and resource allocation. These two subproblems were then solved by the game theory and Lagrangian function to obtain the optimal task offloading strategy and resource allocation plan, and the Nash equilibrium of user offloading strategy games and convex optimization of resource allocation were proved. The simulation results showed that the proposed algorithm could effectively reduce the energy consumption of users.

Monte Carlo 방법을 이용한 공초점 주사 현미경의 오차 분석과 정렬 공차 할당에 관한 연구 (Error Analysis and Alignment Tolerancing for Confocal Scanning Microscope using Monte Carlo Method)

  • 유홍기;강동균;이승우;권대갑
    • 한국정밀공학회지
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    • 제21권2호
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    • pp.92-99
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    • 2004
  • The errors can cause the serious loss of the performance of a precision machine system. In this paper, we proposed the method of allocating the alignment tolerances of the parts and applied this method to get the optimal tolerances of a Confocal Scanning Microscope. In general, tight tolerances are required to maintain the performance of a system, but a high cost of manufacturing and assembling is required to preserve the tight tolerances. The purpose of allocating the optimal tolerances is minimizing the cost while keeping the high performance of the system. In the optimal problem, we maximized the tolerances while maintaining the performance requirements. The Monte Carlo Method, a statistical simulation method, is used in tolerance analysis. Alignment tolerances of optical components of the confocal scanning microscope are optimized to minimize the cost and to maintain the observation performance of the microscope. We can also apply this method to the other precision machine system.

Robust Optimization with Static Analysis Assisted Technique for Design of Electric Machine

  • Lee, Jae-Gil;Jung, Hyun-Kyo;Woo, Dong-Kyun
    • Journal of Electrical Engineering and Technology
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    • 제13권6호
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    • pp.2262-2267
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    • 2018
  • In electric machine design, there is a large computation cost for finite element analyses (FEA) when analyzing nonlinear characteristics in the machine Therefore, for the optimal design of an electric machine, designers commonly use an optimization algorithm capable of excellent convergence performance. However, robustness consideration, as this factor can guarantee machine performances capabilities within design uncertainties such as the manufacturing tolerance or external perturbations, is essential during the machine design process. Moreover, additional FEA is required to search robust optimum. To address this issue, this paper proposes a computationally efficient robust optimization algorithm. To reduce the computational burden of the FEA, the proposed algorithm employs a useful technique which termed static analysis assisted technique (SAAT). The proposed method is verified via the effective robust optimal design of electric machine to reduce cogging torque at a reasonable computational cost.

Enhancing the Robustness and Efficiency of Scale-free Network with Limited Link Addition

  • Li, Li;Jia, Qing-Shan;Guan, Xiaohong;Wang, Hengtao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권5호
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    • pp.1333-1353
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    • 2012
  • The robustness of a network is usually measured by error tolerance and attack vulnerability. Significant research effort has been devoted to determining the network design with optimal robustness. However, little attention has been paid to the problem of how to improve the robustness of existing networks. In this paper, we investigate how to optimize attack tolerance and communication efficiency of an existing network under the limited link addition. A survival fitness metric is defined to measure both the attack tolerance and the communication efficiency of the network. We show that network topology reconfiguration optimization with limited link addition (NTRLA) problem is NP-hard. Two approximate solution methods are developed. First, we present a degree-fitness parameter to guide degree-based link addition method. Second, a preferential configuration node-protecting cycle (PCNC) method is developed to do trade-off between network robustness and efficiency. The performance of PCNC method is demonstrated by numerical experiments.

이중 오리피스 연료 노즐 최적설계 (Optimum Design of Dual Orifice Fuel Nozzle)

  • 임오강;최은호;김성섭
    • 한국전산구조공학회논문집
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    • 제20권4호
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    • pp.407-416
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    • 2007
  • 가스터빈에서 연료 분무 노즐은 연소 특성에 영향을 미치는 중요한 부품이다. 스월 분무 장치를 설계하기 위하여 유량과 분무액적 평균 직경을 설계변수로 정하고 연료 분무 노즐의 최적화를 수행하였다. 설계변수는 이중 노즐의 실험값들을 비교하여 중요한 영향을 미치는 변수로 선정하였다. 민감도는 유량과 분무액적 평균 직경의 변화에 따른 값을 사용하였다. 이중 오리피스형 스월 분무장치의 형상 최적설계를 통하여 유량의 미립화를 높이도록 연구하였다. 최적설계를 위하여 실험 계획법을 이용하였으며, 영향을 적게 미치는 설계변수들은 설계대상에서 제외하였다. 분무 노즐의 분무액적 평균 직경을 사용한 결과는 Jasuja의 액적 평균 이론을 이용하여 도출된 결과와 유사함을 알 수 있었다. 연구 결과는 이중 오리피스형스월 분무장치와 이와 비슷한 종류의 노즐 최적화를 위한 특성을 파악하고 최적의 유량과 허용 공차를 제시하였다.

Optimization of structural elements of transport vehicles in order to reduce weight and fuel consumption

  • Kovacs, Gyorgy
    • Structural Engineering and Mechanics
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    • 제71권3호
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    • pp.283-290
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    • 2019
  • In global competition manufacturing companies have to produce modern, new constructions from advanced materials in order to increase competitiveness. The aim of my research was to develop a new composite cellular plate structure, which can be primarily used for structural elements of road, rail, water and air transport vehicles (e.g. vehicle bodies, ship floors). The new structure is novel and innovative, because all materials of the components of the newly developed structure are composites (laminated Carbon Fiber Reinforced Plastic (CFRP) deck plates with pultruded Glass Fiber Reinforced Plastic (GFRP) stiffeners), furthermore combines the characteristics of sandwich and cellular plate structures. The material of the structure is much more advantageous than traditional steel materials, due mainly to its low density, resulting in weight savings, causing lower fuel consumption and less environmental damage. In the study the optimal construction of a given geometry of a structural element of a road truck trailer body was defined by single- and multi-objective optimization (minimal cost and weight). During the single-objective optimization the Flexible Tolerance Optimization method, while during the multi-objective optimization the Particle Swarm Optimization method were used. Seven design constraints were considered: maximum deflection of the structure, buckling of the composite plates, buckling of the stiffeners, stress in the composite plates, stress in the stiffeners, eigenfrequency of the structure, size constraint for design variables. It was confirmed that the developed structure can be used principally as structural elements of transport vehicles and unit load devices (containers) and can be applied also in building construction.