... based on the proposed locally inferred sensitivity analysis method. Then, based on the improved approximate polynomial chaos expansion, a surrogate model of the product performance and main tolerance variables is established. Finally, the geometric tolerances of the electromechanical products...

... of design parameters and determine them in the ORS design process. Therefore, an approach of the combination of the proposed approximate sensitivity analysis (SA) method and the interval multi-objective optimization design is presented to reduce craniocerebral injury and improve ORS protection performance...

... for Aircraft Engine Titanium Disk Alloys ,” 38th AIAA/ASME/ASCE/AHS/ASC SDM Conference , AIAA , Orlando, FL , pp. 2543 – 2553 . 4 Frey , H. C. , and Patil , S. R. , 2002 , “ Identification and Review of Sensitivity Analysis Methods ,” Risk Anal. , 22 ( 3 ), pp. 553 – 578 . 10.1111/0272...

..., the proposed method calculates the component reliability, system reliability, or statistical moments and their sensitivities by applying Monte Carlo simulation to the accurate surrogate model. Since the surrogate model is used, the computational cost for the stochastic sensitivity analysis is affordable...

... to a local approach but produces measures or percentage contributions. The HyVar approach is directly comparable to global variation-based approaches. In this paper, the HyVar sensitivity analysis method is developed in the context of a functional based behavioral modeling framework. An example application...

... algorithm is used to search the optimum and to avoid the need to choose the initial guess solution and conduct sensitivity analysis. The obtained topology solutions have no point connection, unsmooth boundary, and zigzag member. No post-processing is needed for topology uncertainty caused by point...

...J. Hamel; M. Li; S. Azarm Uncertainty in the input parameters to an engineering system may not only degrade the system’s performance but may also cause failure or infeasibility. This paper presents a new sensitivity analysis based approach called design improvement by sensitivity analysis (DISA...

...Xianzhen Huang; Yimin Zhang In this paper, a reliability sensitivity analysis methodology for the kinematic accuracy of rack-and-pinion steering linkages (RPSLs) is developed. The direct linearization method is applied to obtain the kinematic accuracy errors of planar linkages due to link-length...

...Yu Liu; Xiaolei Yin; Paul Arendt; Wei Chen; Hong-Zhong Huang Statistical sensitivity analysis (SSA) is an effective methodology to examine the impact of variations in model inputs on the variations in model outputs at either a prior or posterior design stage. A hierarchical statistical sensitivity...

...Stéphane Caro; Nicolas Binaud; Philippe Wenger This paper deals with the sensitivity analysis of 3-R P R planar parallel manipulators (PPMs). First, the sensitivity coefficients of the pose of the manipulator moving platform to variations in the geometric parameters and in the actuated variables...

... optimum point in the design. A sensitivity analysis of various geometric design parameters has been performed using the Monte Carlo simulation technique, in order to see changes in the fatigue life of the bearing. Illustrations show that the multiplier of the logarithmic profile deviation parameter has...

...M. Li; N. Williams; S. Azarm Sensitivity analysis has received significant attention in engineering design. While sensitivity analysis methods can be global, taking into account all variations, or local, taking into account small variations, they generally identify which uncertain parameters...

...Xiaolei Yin; Wei Chen Statistical sensitivity analysis (SSA) is playing an increasingly important role in engineering design, especially with the consideration of uncertainty. However, it is not straightforward to apply SSA to the design of complex engineering systems due to both computational...

... sensitivity to identify variation root causes. The traditional point-based sensitivity is defined as the sensitivity of product dimensional variation to the variation of each source point on a part. The pattern sensitivity analysis takes the covariance information of source points into account, whereas...

... coordinates are statically condensed in order to validate the model. Using eigenvalue sensitivity analysis in terms of the condensed coordinates, the stiffness parameters of the joint virtual springs are adjusted in the experimental configurations until the acceleration frequency response functions (FRFs...

.../1.1543977 , 125 , pp. 43 – 51 . Han , C. , Kim , J. , Kim , J. , and Park , F. C. , 2002 , “ Kinematic Sensitivity Analysis of the 3-UPU Parallel Mechanism ,” Mech. Mach. Theory 0094-114X 10.1016/S0094-114X(02)00021-6 , 37 , pp. 787 – 798 . Fan , K.-C. , Wang , H...

...Huibin Liu; Wei Chen; Agus Sudjianto In this paper, a new Probabilistic Sensitivity Analysis (PSA) approach based on the concept of relative entropy is proposed for design under uncertainty. The relative entropy based method evaluates the impact of a random variable on a design performance...

... in the JOURNAL OF MECHANICAL DESIGN . Manuscript received December 22, 2003; revision received April 23, 2004. Associate Editor: D. Kazmer. 22 December 2003 23 April 2004 02 03 2005 manipulators tolerance analysis Jacobian matrices optimisation sensitivity analysis stability...

... DESIGN . Manuscript received April 2003; revised October 2003. Associate Editor: J. E. Renaud. 01 April 2003 01 October 2003 design engineering optimisation sensitivity analysis parameter estimation Many real-world engineering design optimization problems have...

...Noah D. Manring In this paper, the conical-shaped equivalent model for a bolted joint is considered. In particular, the governing equations for this model are made non-dimensional for the purposes of conducting sensitivity analysis. From this work, a plot of the dimensionless spring-rate...