A New Approach for Robust Design of Mechanical Systems

Gu, Peihua; Lu, B.; Śpiewak, S.

doi:10.1016/s0007-8506(07)60661-1

Cited by 26 publications

(16 citation statements)

References 1 publication

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“…According to the principles of robust design [2], the controllable factors must be arranged properly to ensure the performance function is insensitive to uncontrollable factors, i.e., minimizing the sensitivity of system [1].…”

Section: System Sensitivitymentioning

confidence: 99%

“…To maintain the product or system quality, these deviations must be controlled. Robust design aims to satisfy design requirements and ensure that environmental variability has the least effect on system performance [1]. Since Dr. Taguchi introduced the concept of robust design and associated methods, robust design has been widely used in the industry to enhance and improve the quality of products and systems [2].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the robust design of linear systems reported in the Annals of CIRP in 2004 [1], this paper describes a robust design model of nonlinear mechanical systems, including an analytical solution of system sensitivity coefficients, optimization models, and a robust sensitivity matrix. Furthermore, an intrinsic relationship of the structure, design parameters and uncontrollable factors to the system robustness is revealed.…”

Section: Introductionmentioning

confidence: 99%

“…Design matrices are determined by controllable factors including structural characteristics and the means of design parameters [1]. The matrices are constructed to establish the mapping model from uncontrollable factors to deviation in system performance functions.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analytical approach to robust design of nonlinear mechanical systems

Zhang

Bao

Zhang

et al. 2009

Front. Mech. Eng. China

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The robustness of mechanical systems is influenced by various factors. Their effects must be understood for designing robust systems. This paper proposes a model for describing the relationships among functional requirements, structural characteristics, design parameters and uncontrollable variables of nonlinear systems. With this model, the sensitivity of systems was analyzed to formulate a system sensitivity index and robust sensitivity matrix to determine the importance of the factors in relation to the robustness of systems. Based on the robust design principle, an optimization model was developed. Combining this optimization model and the Taguchi method for robust design, an analysis was carried out to reveal the characteristics of the systems. For a nonlinear mechanical system, relationships among structural characteristics of the system, design parameters, and uncontrollable variables can be formulated as a mathematical function. The characteristics of the system determine how design parameters affect the functional requirements of the system. Consequently, they affect the distribution of system performance functions. Nonlinearity of the system can facilitate the selection of design parameters to achieve the required functional requirements.

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Section: System Sensitivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analytical approach to robust design of nonlinear mechanical systems

Zhang

Bao

Zhang

et al. 2009

Front. Mech. Eng. China

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show abstract

“…To improve product quality, the robust design method has been employed to minimize the sensitivity of functional performance to uncertainties [2]. Based upon our previous work in robust design [3], this paper introduces a new mathematical model to represent relationships among product performance, manufacturing costs, design parameters and tolerances for determining tolerances using the robust design method with optimization.…”

Section: Introductionmentioning

confidence: 99%

A robust design approach to determination of tolerances of mechanical products

Zhang

Bao

et al. 2010

CIRP Annals

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An integration design optimization framework of robust design, axiomatic design, and reliability‐based design

Shen

Yang

Zhao

2011

Quality & Reliability Eng

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Robust design, axiomatic design, and reliability-based design provide effective approaches to deal with quality problems, and their integration will achieve better quality improvement. An integration design optimization framework of robust design, axiomatic design, and reliability-based design is proposed in this paper. First, the fitted response model of each quality characteristic is obtained by response surface methodology and the mean square error (MSE) estimation is given by a second-order Taylor series approximation expansion. Then the multiple quality characteristics robust design model is developed by the MSE criteria. Finally, the independence axiom constraints for decoupling and reliability constraints are integrated into the multiple quality characteristics robust design model, and the integration design optimization framework is formulated, where the weighted Tchebycheff approach is adopted to solve the multiple objective programming. An illustrative example is presented at the end, and the results show that the proposed approach can obtain better trade-offs among conflicting quality characteristics, variability, coupling degree and reliability requirements.

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A New Approach for Robust Design of Mechanical Systems

Cited by 26 publications

References 1 publication

Analytical approach to robust design of nonlinear mechanical systems

Analytical approach to robust design of nonlinear mechanical systems

A robust design approach to determination of tolerances of mechanical products

An integration design optimization framework of robust design, axiomatic design, and reliability‐based design

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