Prediction of Assembly Variation During Early Design

Zhao, Zuozhi; Bezdecny, Michelle; Lee, Byungwoo; Wu, Yanyan; Robinson, Dean M.; Bauer, Lowell; Slagle, Mark; Coleman, Duke; Barnes, John; Walls, Steve

doi:10.1115/1.3130795

Cited by 12 publications

(6 citation statements)

References 6 publications

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“…Zhao et al [31] A generic framework for prediction of assembly variation that moves assembly variation analysis into early stages of aircraft development 787 vertical fin…”

Section: Asf Vehicle Bodymentioning

confidence: 99%

“…In order to identify and develop variation prediction methods that can precede detailed geometric design and make estimates accurate enough to uncover major assembly risks, Zhao et al [31] presented methods to move assembly variation analysis into the early stages of aircraft development where critical partitioning, sourcing, and production decisions are often made for component parts that have not yet been designed. A generic framework for prediction of assembly variation was developed.…”

Section: Automotive Hood Assemblymentioning

confidence: 99%

“…Finally, the major contributors are further characterized through a sensitivity study of metamodels or three-dimensional variation analysis models. A case study of a vertical fin was used to demonstrate the validity of the proposed framework [31].…”

Section: Automotive Hood Assemblymentioning

confidence: 99%

See 2 more Smart Citations

Key characteristics management in product lifecycle management: A survey of methodologies and practices

Zheng

McMahon²,

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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Key characteristics (KCs) play a significant role in product lifecycle management (PLM) and in collaborative and global product development. Over the last decade, KCs methodologies and tools have been studied and practiced in several domains of the product lifecycle, and many world-class companies have introduced KCs considerations into their product development practices. However, there has been no systematic survey of KCs techniques, methodologies, and practices in this respect. This paper aims to give a comprehensive survey of KCs methodologies, and practices from the perspective of enterprise integration and PLM. The paper firstly presents a holistic framework of KCs methodologies and practices through the product lifecycle, and summarizes the fundamentals of KCs including their definition and classification, KC flowdown, and the identification and selection of KCs. A review of the KCs methods and practices in the product lifecycle is then presented, particularly in engineering design, manufacturing planning, production and testing as well as information and knowledge management respectively. Finally, the problems and challenges for future research on KCs techniques are discussed.

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“…Zhao et al [31] A generic framework for prediction of assembly variation that moves assembly variation analysis into early stages of aircraft development 787 vertical fin…”

Section: Asf Vehicle Bodymentioning

confidence: 99%

Section: Automotive Hood Assemblymentioning

confidence: 99%

See 1 more Smart Citation

Key characteristics management in product lifecycle management: A survey of methodologies and practices

Zheng

McMahon²,

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…In the first category, the research works are related to assembly variation analysis of the product consists of rigid parts, which mainly includes the assembly variation modeling approach based on the small displacement torsor model and transformation matrix; 1,2 assembly variation modeling based on the directed graph representation; 3 neural network based assembly variation prediction; 4 and assembly variation analysis with State Space Modeling. 5–9 In the above approaches, the assembly variation sources are mainly the part manufacturing error, fixture locating error, or the reorientation error in different work stations.…”

Section: Introductionmentioning

confidence: 99%

Assembly variation analysis of the aircraft panel in multi-stage assembly process with N-2-1 locating scheme

Huo

Wang

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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The flexible aircraft panel parts are easy to deform during the assembly process, the deformation can directly affect the assembly accuracy of the aircraft panel, and further affect the assembly quality of the aircraft fuselage. In order to evaluate the assembly accuracy of the aircraft panel in multi-stage assembly process with N-2-1 locating scheme, this paper proposes an assembly variation analyzing approach, considering the effect of the contact force between the panel skin and the fixture components on the deformation of the panel in the assembly process. The mathematical models are established to conclude the contact force between the panel skin and the fixture components in multi-stage assembly process of the panel with N-2-1 locating scheme, and the effect of the contact force between the skin and the fixture components on the deformation of the panel in assembly is investigated. An assembly variation model is built for the aircraft panel considering the variation sources including the manufacturing error of the flexible panel parts, fixture error, and the deformation of the panel in multi-stage assembly process considering the effect of the contact force. Finally, the proposed assembly variation analyzing approach for the aircraft panel is tested with a case study.

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“…[23][24][25] Recently, the research on variation modeling and analysis concerning compliant assembly has been extended to aircraft industry. Zhao et al 26 presented the metamodel and simplified design simulation methods to move variation analysis into the early design state of aircraft. Lee et al 27 provided a procedure for variation analysis of complex assemblies in aircraft industry, in which the datum flow chain, commercial 3D variation analysis and FEA are used.…”

Section: Introductionmentioning

confidence: 99%

Variation modeling and analysis with interval approach for the assembly of compliant aeronautical structures

Mei

Zhu

Zheng

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Due to small production volume in aircraft industry, the available information of variation sources is often not enough to make assumptions on their probabilistic characteristics, especially in the stage of prototype manufacturing. To deal with the problem, an assembly variation modeling and analysis method based on the elasticity mechanics and interval approach is proposed for aircraft assembly. First, variation sources are modeled as bounded convex sets, which are defined as interval structural parameters in interval arithmetic. Then, variation modeling and analysis are successively implemented using the method of influence coefficient and interval arithmetic. After that, a uniform-splitting method is applied to achieve the refinement of the interval extension in variation analysis. To reduce the complexity of the finite element analysis and assembly variation computation, part deformation forms including warpage and torsion are concisely characterized with angle instead of the deviations of isolated key points on the part. The comparison of the assembly variations estimated with the proposed variation analysis method and actual experiment results verifies the effectiveness of the constructed assembly variation model and the proposed method. The interval approach–based assembly variation analysis method is a good complement to traditional probabilistic approach–based methods for compliant assembly systems, which is suited for linear and linearized nonlinear assembly systems. The proposed method provides an improved understanding of the application of compliant assembly variation analysis methods in aircraft manufacturing.

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Prediction of Assembly Variation During Early Design

Cited by 12 publications

References 6 publications

Key characteristics management in product lifecycle management: A survey of methodologies and practices

Key characteristics management in product lifecycle management: A survey of methodologies and practices

Assembly variation analysis of the aircraft panel in multi-stage assembly process with N-2-1 locating scheme

Variation modeling and analysis with interval approach for the assembly of compliant aeronautical structures

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