Fixture layout optimization in multi-station assembly processes using augmented ant colony algorithm

Xie, Weisong; Deng, Zhifeng; Ding, Bohui; Kuang, Heng

doi:10.1016/j.jmsy.2014.08.005

Cited by 18 publications

(9 citation statements)

References 25 publications

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“…Jin et al [24] have developed a state-space model that is based on this technique in order to determine the relationship between the variation of KPCs and variation in the locating points. This model and its other variants are utilized in the fixture layout optimization of rigid assemblies by most of the studies [25][26][27][28][29][30]. Most of these studies have utilized state-space modeling to optimize the fixture layouts of all assembly stations simultaneously in multi-station assemblies.…”

Section: Assembly Fixture Layout Optimizationmentioning

confidence: 99%

Integrated Tolerance and Fixture Layout Design for Compliant Sheet Metal Assemblies

et al. 2021

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Part tolerances and fixture layouts are two pivotal factors in the geometrical quality of a compliant assembly. The independent design and optimization of these factors for compliant assemblies have been thoroughly studied. However, this paper presents the dependency of these factors and, consequently, the demand for an integrated design of them. A method is developed in order to address this issue by utilizing compliant variation simulation tools and evolutionary optimization algorithms. Thereby, integrated and non-integrated optimization of the tolerances and fixture layouts are conducted for an industrial sample case. The objective of this optimization is defined as minimizing the production cost while fulfilling the geometrical requirements. The results evidence the superiority of the integrated approach to the non-integrated in terms of the production cost and geometrical quality of the assemblies.

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Section: Assembly Fixture Layout Optimizationmentioning

confidence: 99%

Integrated Tolerance and Fixture Layout Design for Compliant Sheet Metal Assemblies

et al. 2021

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“…Zhaoqing et al [9] developed the previous modeling to consider the effects of slot orientation and optimize it. Xie et al [10] and Tyagi et al [11] have improved the optimization procedure by utilizing evolutionary optimization algorithms. Masoumi et al [12] also utilized the non-linear SSM to optimize the fixture layout and the assembly sequence to minimize the variation of KPCs.…”

Section: Assembly Fixture Layout Optimizationmentioning

confidence: 99%

“…Accordingly, the fixture layout of each station cannot be designed independently. This issue is addressed in the methods that utilize state-space modeling by optimizing the layouts of all stations simultaneously [4,[8][9][10]12].…”

Section: Multi-station Assembliesmentioning

confidence: 99%

Optimal design of fixture layouts for compliant sheet metal assemblies

Aderiani

Wärmefjord

Söderberg

et al. 2020

Int J Adv Manuf Technol

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A preeminent factor in the geometrical quality of a compliant sheet metal assembly is the fixture layout that is utilized to perform the assembly procedure. Despite the presence of a great number of studies about the optimization of assembly fixture layouts, there is not a comprehensive algorithm to optimize all design parameters of fixture layouts for compliant sheet metal assemblies. These parameters are the location and type of hole and slot in each part, the slot orientation, and the number and location of additional clamps. This paper presents a novel optimization method that optimizes all these parameters simultaneously to maximize the geometrical quality of the assemblies. To attain this goal, compliant variation simulations of the assemblies are utilized along with evolutionary optimization algorithms. The assembly springback and contacts between parts are considered in the simulations. After determining the optimal design parameters, the optimal positions of locators are fine-tuned in another stage of optimization. Besides, a top-down design procedure is proposed for applying this method to multi-station compliant assemblies. The presented method is applied to two industrial sample cases from the automotive industry. The results evidence a significant improvement of geometrical quality by utilizing the determined fixture layout from the presented method compared with the original fixture layouts of the sample cases.

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“…Xie et al. 12 developed an approach based on an augmented ant colony algorithm (AACA) in order to minimize the sensitivity index. The proposed method optimizes the fixture layout for 2D rigid parts in multi-station assembly processes.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm

Khodabandeh

Saryazdi

Ohadi

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Fixtures are extensively used in many industries such as the car industry, to locate and constrain the sheet part during the assembly stage. Fixture layout affects on deformation of sheet parts. Therefore, fixture layout optimization is crucial to the accuracy and quality of products. In addition, the number of clamps that uses in the fixture is another important factor that must be considered in fixture design. This article presents a novel fixture layout optimization method by combining multi-objective ant colony algorithm (M-ACO) and the finite element method. The proposed method optimizes the fixture layout and the number of clamps simultaneously as a multi-objective problem. An approximation of Pareto frontier is acquired by the proposed method. The fixture layout for the side reinforcement of a car is optimized using the proposed method. The results show that the proposed approach performs effectively to optimize the auto-body fixture layout.

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Fixture layout optimization in multi-station assembly processes using augmented ant colony algorithm

Cited by 18 publications

References 25 publications

Integrated Tolerance and Fixture Layout Design for Compliant Sheet Metal Assemblies

Integrated Tolerance and Fixture Layout Design for Compliant Sheet Metal Assemblies

Optimal design of fixture layouts for compliant sheet metal assemblies

Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm

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