Product-Oriented Sensitivity Analysis for Multistation Compliant Assemblies

Yue, Jianpeng; Camelio, Jaime A.; Chin, Melida; Cai, Wayne

doi:10.1115/1.2735341

Cited by 18 publications

(9 citation statements)

References 20 publications

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“…Tolerance analysis refers to the process of calculating the tolerance range. Such analyses have long dealt with the assembly of rigid bodies; but recently, the effects of compliant assemblies are also being researched [2][3][4][5]. The compliant nature of the steel plates used in When there is geometrical variation in the parts to be welded, the parts are clamped to their nominal positions.…”

Section: Introductionmentioning

confidence: 99%

Variation Simulation of Compliant Metal Plate Assemblies Considering Welding Distortion

Choi

Chung

2015

Journal of Manufacturing Science and Engineering

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The shipbuilding industry employs numerous cutting and joining processes to build the ship and offshore structure. Welding, as a primary joining process, inherently causes distortion and accounts for most of the major geometrical variation in the intermediate products, thus adversarially affecting the downstream assembly processes. Because of the welding process, the variation analysis of compliant assemblies in shipbuilding is clearly different from that of the automobile and aerospace industries, where the distortion during the joining process is negligible. This paper proposes a variation simulation model including the effects of joining process distortion for ships and offshore structures. The proposed model extends the concepts of the sources of variation and the Method of Influence Coefficient for a compliant mechanical assembly to include the welding distortions. The proposed model utilizes welding distortion patterns and a transformation matrix to efficiently model the deformation due to the joining process. Also the welding A c c e p t e d M a n u s c r i p t N o t C o p y e d i t e dDownloaded From: http://manufacturingscience.asmedigitalcollection.asme.org/ on 02/19/2015 Terms of Use: http://asme.org/terms Journal of Manufacturing Science and Engineering distortions are represented as stochastic values due to its randomness. The model is verified by case study simulation and by a comparison with welding experimental results.

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Section: Introductionmentioning

confidence: 99%

Variation Simulation of Compliant Metal Plate Assemblies Considering Welding Distortion

Choi

Chung

2015

Journal of Manufacturing Science and Engineering

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“…Liu and Hu [11] developed the method of influence coefficients (MIC) to establish the linear relationship between the variations of individual parts and assembly, under the assumption of linear elastic deformation. Camelio et al [12] and Yue et al [13] used a state space representation to extend the MIC in multi-station assembly system. Dahlstrom and Lindkvist [14], Xie et al [15], and Lindau et al [16] incorporated the contact effect of parts into assembly variation modeling.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the unknown displacements and forces in Subprocess (d) can be calculated with equations (11) and (13).…”

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confidence: 99%

Assembly Variation Analysis of Aircraft Panels under Part-to-part Locating Scheme

Liu

Wang

et al. 2019

International Journal of Aerospace Engineering

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A typical aircraft panel is the assembly consisting of a multitude of thin and lightweight compliant parts. In panel assembly process, part-to-part locating scheme has been widely adopted in order to reduce fixtures. By this locating scheme, a part is located onto the pre-fixed part/subassembly by determinant assembly (DA) holes, and temporary fasteners (e.g., spring pin) are used for joining these DA hole-hole pairs. The temporary fasteners can fasten DA hole-hole pairs in the axial and radial directions of DA holes. The fastening in the radial directions is realized by the expansion of temporary fasteners. Although the usage of temporary fasteners helps reduce the positional differences between hole-hole pairs, their clamping forces thereby may lead to elastic deformation of compliant parts/subassemblies. Limited research has been conducted on such elastic deformation produced by temporary fastener and its influence on assembly dimensional quality. This paper proposes a novel rigid-compliant variation analysis method for aircraft panel assembly, incorporating the deformation in part-to-part locating process. Based on the kinematic theory and linear elasticity deformation assumption, the variation propagation through the locating process, as well as the entire assembly process of an aircraft panel, is formulated. Then, the statistical variation analysis is performed with Monte Carlo (MC) simulation. Finally, the proposed method is validated by a case study. The result shows the deformation in the part-to-part locating process significantly impacts the assembly variations, and our method can provide a more accurate and reliable prediction.

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“…Constructing response surfaces by design of experiments also becomes expensive for highdimensional problems. GSA [9,10] considers the entire possible ranges of parameter variations and can be conducted in several ways, such as scatter plots [11,12], screening [13], regression analysis [14], variance-based methods [15][16][17][18], probabilistic SA [4,19], and local variation approximation [4,20]. Most of them are statistical methods, which use probabilistic information of design variables and design parameters.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis in Quantified Interval Constraint Satisfaction Problems

Wang

Cheng

et al. 2015

Journal of Mechanical Design

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Interval is an alternative to probability distribution in quantifying uncertainty for sensitivity analysis (SA) when there is a lack of data to fit a distribution with good confidence. It only requires the information of lower and upper bounds. Analytical relations among design parameters, design variables, and target performances under uncertainty can be modeled as interval-valued constraints. By incorporating logic quantifiers, quantified constraint satisfaction problems (QCSPs) can integrate semantics and engineering intent in mathematical relations for engineering design. In this paper, a global sensitivity analysis (GSA) method is developed for feasible design space searching problems that are formulated as QCSPs, where the effects of value variations and quantifier changes for design parameters on target performances are analyzed based on several proposed metrics, including the indeterminacy of target performances, information gain of parameter variations, and infeasibility of constraints. Three examples are used to demonstrate the proposed approach.

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Product-Oriented Sensitivity Analysis for Multistation Compliant Assemblies

Cited by 18 publications

References 20 publications

Variation Simulation of Compliant Metal Plate Assemblies Considering Welding Distortion

Variation Simulation of Compliant Metal Plate Assemblies Considering Welding Distortion

Assembly Variation Analysis of Aircraft Panels under Part-to-part Locating Scheme

Sensitivity Analysis in Quantified Interval Constraint Satisfaction Problems

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