Fixture layout design based on two-stage method for sheet metal components

Xing, Yanfeng; Wang, Yansong

doi:10.1177/0954405412463132

Cited by 23 publications

(10 citation statements)

References 19 publications

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“…35–37 Furthermore, the above dimensional analysis is supporting the researches on fixture layout optimization over decades. 38…”

Section: Literature Reviewmentioning

confidence: 99%

“…[35][36][37] Furthermore, the above dimensional analysis is supporting the researches on fixture layout optimization over decades. 38 Meanwhile, the FEA promotes the fruits that open out the dimensional error caused by joint deformations. Part deformations which are caused by various joining and releasing in multi-stations are added into the variation propagation for the preliminary design.…”

Section: Assembly Dimensional Analysismentioning

confidence: 99%

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Assembly sequence optimization for minimizing the riveting path and overall dimensional error

Tang

Mao

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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Due to the complexities of calculations based on different representations of constituent parts in an assembly, the combined improvement of efficiency and precision for the riveting has seldom been studied by the sequence planning or dimensional engineering. This article develops an assembly sequence optimization method that simultaneously minimizes the path length and overall dimensional error for the solid riveting. The sequence is denoted by the order of classifications for the nodes around the rivet holes in the finite element model for the assembly. Ant colony algorithm is applied on the optimization by integrating two calculations, that is, the length calculation of riveting path and the calculation of the dimensional error related to rivet upsetting directions and assembly sequence. Results for three assemblies are presented which show a good degree of optimization in performance for different scales of assemblies with different numbers of rivets that share the same solid riveting process.

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“…35–37 Furthermore, the above dimensional analysis is supporting the researches on fixture layout optimization over decades. 38…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Assembly Dimensional Analysismentioning

confidence: 99%

Assembly sequence optimization for minimizing the riveting path and overall dimensional error

Tang

Mao

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Xing and Wang 3 proposed an optimization method with two steps. First, they optimized the location of three clamps based on the rigid model of a sheet metal by particle swarm optimization (PSO) algorithm.…”

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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“…For the other aspects, besides the traditional elastic mechanic which was adopted to establish the deformation model, 29 finite element analysis (FEA) was popularly adopted too. 32…”

Section: Introductionmentioning

confidence: 99%

Prediction of machining accuracy based on a geometric error model in five-axis peripheral milling process

Ding

Zhu

Yahya

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machining accuracy is the most critical indicator to evaluate the machining quality of parts in metal cutting industry. However, it is difficult to be identified before real cutting, because of a variety of error sources presented in a machining process system, such as assembly inaccuracy of machine tool, deformation caused by temperature variation and dynamic cutting force, tool wear, servo lag and so on. Consequently, it is difficult to determine whether a new machining process can satisfy accuracy requirements beforehand. Traditionally, a machining process is validated through the “trial and error” approach, which is time consuming and costly. If machining accuracy can be predicted to a large extent, a rational process can be planned to ensure the precision of parts and even to maximize resource utilization without trial cuts. For this purpose, this work focuses on machining accuracy prediction for five-axis peripheral milling based on the geometric errors. An error synthesis modeling method is proposed to integrate the geometric errors of the process system, including machine tool geometric error, workpiece locating error, cutting tool dimension error and setup error. From a multi-body system point of view, all these errors are synthesized to generate position error of the cutting contact point in the workpiece coordinate system. Then the machining error is obtained by projecting the position error to the workpiece normal vector, which can be measured by a coordinate measuring machine. The prediction model has been evaluated by a cutting test with our in-house-developed prototype software. The result shows that the proposed method is feasible and effective.

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Fixture layout design based on two-stage method for sheet metal components

Cited by 23 publications

References 19 publications

Assembly sequence optimization for minimizing the riveting path and overall dimensional error

Assembly sequence optimization for minimizing the riveting path and overall dimensional error

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

Prediction of machining accuracy based on a geometric error model in five-axis peripheral milling process

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