Distributed Channel Routing Using Genetic Algorithm

Hong, Chuleui; Kim, Won-Il; Kim, Yeongjoon

doi:10.1007/978-3-540-30501-9_51

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The island model for SOGA, also called the distributed manager-worker model, had much attention recently. Hong et al [110] proposed an island model where subpopulations are developed separately from the start. When equilibrium is reached, migration between populations starts.…”

Section: Parallel Genetic Algorithmsmentioning

confidence: 99%

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

Shalaby

2009

Journal of Mechanical Design

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Driven by the moral sense of obligation, legislative and social pressures, manufacturers now consider effective part reuse and material recycling at the end of product life at the design stage. It is a key consideration to use joints that can disengage with minimum labor, part damage, and material contamination. This paper extends our previous work on the design of high-stiffness reversible locator-snap system that can disengage nondestructively with localized heat (Shalaby and Saitou, 2006, “Optimal Heat-Reversible Snap Joints for Frame-Panel Assembly in Aluminum Space Frame Automotive Bodies,” Proceedings of the LCE2006: The 13th CIRP International Conference on Life Cycle Engineering, Leuven, Belgium, May 31–Jun. 2, pp. 411–416; Shalaby and Saitou, 2008, “Design for Disassembly With High-Stiffness, Heat-Reversible Locator-Snap Systems,” ASME J. Mech. Des., 130(12), p. 121701) to include (1) modeling for tolerance stack-up and (2) lock-and-key concept to ensure that snaps only disengage when the right procedure is followed. The design problem is posed as an optimization problem to find the locations, numbers, and orientations of locators and snaps, and the locations and sizes of heating areas, to release the snaps with minimum heat, compliance, and tolerance stack-up. The motion and structural requirements are considered constraints. Screw theory is employed to precalculate the set of feasible types and orientations of locators and snaps that are examined during optimization. Multi-objective genetic algorithm coupled with structural and thermal finite element analysis is used to solve the optimization problem. The method is applied on two case studies. The Pareto-optimal solutions present alternative designs with different trade-offs between the design objectives.

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Section: Parallel Genetic Algorithmsmentioning

confidence: 99%

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

Shalaby

2009

Journal of Mechanical Design

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show abstract

“…Different models of parallel GA are shown in The island model for SOGA, also called the distributed manager-worker model, had much attention recently. Hong et al [110] proposed an island model where subpopulations are developed separately from the start. When equilibrium is reached, migration between populations starts.…”

Section: Parallel Genetic Algorithmsmentioning

confidence: 99%

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

Shalaby

2008

Volume 5: 13th Design for Manufacturability and the Lifecycle Conference; 5th Symposium on International Design and Design Educ

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Recent legislative and social pressures have driven manufacturers to consider effective part reuse and material recycling at the end of product life at the design stage. One of the key considerations is to use joints that can disengage with minimum labor, part damage, and material contamination. This paper extends our previous work on the design of high-stiffness reversible locator-snap system that can disengage non-destructively with localized heat [1, 2], to include 1) modeling for tolerance stack-up and 2) lock-and-key concept to ensure that snaps only disengage when the right procedure is followed. The design problem is posed as an optimization problem to find the locations, numbers, and orientations of locators and snaps, and the number, locations and sizes of heating areas, which realize the release of snaps with minimum heat, compliance, and tolerance stack-up. The motion and structural requirements are considered constraints. Screw Theory is utilized to pre-calculate a set of feasible types and orientations of locators and snaps that are examined during optimization. The optimization problem is solved using Multi Objective Genetic Algorithm (MOGA) coupled with structural and thermal FEA. The method is applied on two case studies. The Pareto-optimal solutions present alternative designs with different trade-offs between the design objectives while meeting all the constraints.

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Distributed Channel Routing Using Genetic Algorithm

Cited by 2 publications

References 3 publications

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

High-Stiffness, Lock-and-Key Heat-Reversible Locator-Snap Systems for the Design for Disassembly

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