Optimal festener pattern design considering bearing loads

Chickermane, Hemant; Gea, Hae Chang; Yang, Ren‐Jye; Chuang, Ching-Hung

doi:10.1007/s001580050045

Cited by 19 publications

(5 citation statements)

References 11 publications

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“…Yang et al (2016) used the genetic algorithm to optimize the number and positions of temporary fasteners on a fuselage part. Chickermane et al (1999) solved the problem of fastener position optimization by introducing a fastener density function to avoid the discrete nature of the problem. The optimal fastener pattern is obtained by Oinonen et al (2009) using the force reduction in the most severely loaded fastener of the group.…”

Section: Introductionmentioning

confidence: 99%

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Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process

Lupuleac,

Pogarskaia

2024

RIA

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Purpose The purpose of the current study is development of effective and fast algorithm for optimization the arrangement of temporary fasteners during aircraft assembly. Design/methodology/approach Combinatorial nature, uncertain input data, sensitivity to mechanical properties and geometric tolerances are the specific features of the fastening optimization problem. These characteristics make the problem-solving by standard methods very resource-intensive because the calculation of the objective function requires multiple solution of contact problems. The work provides an extended description of the geodesic algorithm (GA) which is a novel non-iterative optimization approach avoiding multiple objective function calculations. Findings The GA makes it possible to optimize the arrangement of temporary fasteners during the different stages of the assembly process. The objective functions for the optimization are number of installed fasteners and quality of contact between joined parts. The mentioned properties of the GA also make it possible to introduce an automatic procedure for optimizing fastener arrangement into everyday practice of aircraft manufacturing. Practical implications The algorithm has been applied to optimization of the assembly process in Airbus company. Originality/value Performance of the GA is orders of magnitude greater than standard optimization algorithms while maintaining the quality of results. The use of the assembly process specifics is the main limitation of the GA, because it cannot be automatically applied to optimization problems in other areas. High speed of work and quality of the results make it possible to use it for real optimization problems on assembly line in the production of commercial airliners.

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Section: Introductionmentioning

confidence: 99%

“…(2016) used the genetic algorithm to optimize the number and positions of temporary fasteners on a fuselage part. Chickermane et al. (1999) solved the problem of fastener position optimization by introducing a fastener density function to avoid the discrete nature of the problem.…”

Section: Introductionmentioning

confidence: 99%

Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process

Lupuleac,

Pogarskaia

2024

RIA

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“…Furthermore, it did not consider the material of the joints themselves. Optimal placement of joints around an existing interface has been explored by Jiang and Chirehdast 52 as well as by Chickermane et al 53 Contrary to the method of Liu et al, these works consider discrete joining between components but do not consider optimal interface design. Qian and Ananthasuresh 54 (then later Zhu et al 55 ) proposed embedding small joints of a known stiffness within the topology design domain and then optimizing simultaneously for joint existence and material existence.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous single‐loop multimaterial and multijoint topology optimization

Florea

Pamwar

Sangha

et al. 2019

Numerical Meth Engineering

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Summary As the aerospace and automotive industries continue to strive for efficient lightweight structures, topology optimization (TO) has become an important tool in this design process. However, one ever‐present criticism of TO, and especially of multimaterial (MM) optimization, is that neither method can produce structures that are practical to manufacture. Optimal joint design is one of the main requirements for manufacturability. This article proposes a new density‐based methodology for performing simultaneous MMTO and multijoint TO. This algorithm can simultaneously determine the optimum selection and placement of structural materials, as well as the optimum selection and placement of joints at material interfaces. In order to achieve this, a new solid isotropic material with penalization‐based interpolation scheme is proposed. A process for identifying dissimilar material interfaces based on spatial gradients is also discussed. The capabilities of the algorithm are demonstrated using four case studies. Through these case studies, the coupling between the optimal structural material design and the optimal joint design is investigated. Total joint cost is considered as both an objective and a constraint in the optimization problem statement. Using the biobjective problem statement, the tradeoff between total joint cost and structural compliance is explored. Finally, a method for enforcing tooling accessibility constraints in joint design is presented.

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“…In the present study, there is no special attention paid to the design of the fasteners themselves. It is clear (see for instance Chickermane et al, 1999) that for practical applications stress-based criteria and possibly fracture mechanics considerations should be taken into account for the design of these important connections.…”

Section: Introductionmentioning

confidence: 99%

Application of a bi-level scheme including topology optimization to the design of an aircraft pylon

Remouchamps¹,

Bruyneel²,

Fleury

et al. 2011

Struct Multidisc Optim

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In this paper, topology optimization is used to design aircraft pylons. Original results for two Airbus pylons are first presented. An innovative bi-level optimization scheme is then proposed, which combines topology and geometric optimizations. At the first level, the dimension of the design domain, that is the envelope of the structure, and the location of the fixations are variables. At the second level, topology optimization is used to determine the optimal lay-out for given geometric parameters. This bi-level scheme is used to solve the aero-structural optimization of a pylon.

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Optimal festener pattern design considering bearing loads

Cited by 19 publications

References 11 publications

Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process

Geodesic algorithm: new approach to optimization of temporary fastener arrangement in airframe assembly process

Simultaneous single‐loop multimaterial and multijoint topology optimization

Application of a bi-level scheme including topology optimization to the design of an aircraft pylon

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