On Clamping Planning in Workpiece-Fixture Systems

Chen, Xiong; Wang, M.Y.; Xiong, Yan

doi:10.1109/tase.2008.921483

Cited by 21 publications

(4 citation statements)

References 38 publications

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“…  (14) In which, fsub . According to properties of matrix function, every vector satisfied to one linear equation will be the same, which means if the constraints are same, then the solution of equations (9,(12)(13)(14) will be the same. So after given one constraint, then relative 3…”

Section: S Usub Umentioning

confidence: 99%

Section: S Usub Umentioning

confidence: 99%

“…After the matrix equation 16is solved, the required  can be got. Then, by equation (6,(12)(13)(14), solution of , uf can be easily found. Here, the computing problem of equation 6is transformed to another computing problem of equation (16).…”

Section: S Usub Umentioning

confidence: 99%

“…Clamping force influences workpiece-fixture system deformation greatly as well. Many works have been taken to analyze this issue [12,13]. One fast FEM based clamping force optimization method which needs seldom calling of FEM solving process is presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

One Fast Fixture Layout and Clamping Force Optimization Method Based on Finite Element Method

Liu

Wang

et al. 2012

ASME/ISCIE 2012 International Symposium on Flexible Automation

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Aimed to reduce the deformation of workpiece-fixture system, one fixture layout and clamping force optimal method is constructed in this paper. Firstly, system stiffness matrix is built by Finite Element Method (FEM), and one matrix size reducing method is proposed to avoid the high computing time cost of solving FEM balance equation. Secondly, one clamping force optimization method which should be called after fixture layout is generated during every step of optimization algorithm is presented to lessen calling times of FEM solving process and save running time. And then based on these, one fixture layout and clamping force optimization algorithm is constructed using genetic algorithm (GA). At the end of this paper, numeral examples are taken to verify the validity and usability of the methods.

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Section: S Usub Umentioning

confidence: 99%

Section: S Usub Umentioning

confidence: 99%