Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece

Liu, Shaogang; Liu, Zheng; Zhang, Zhi‐Hai; Li, Zhizhong; Liu, Dacheng

doi:10.1007/s00170-006-0507-5

Cited by 40 publications

(19 citation statements)

References 17 publications

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“…These integrate a streamlined approach that includes process modeling and optimization algorithms and several strategies to optimize fixtures. Some of these approaches are aimed at finding the fixturing configuration that allows the minimization of geometrical errors [20,21] and the evaluation of the effects of additional supports [22][23][24]. Clamping systems also affect workpiece dynamics [25] and additional supports may have a mitigating effect on chatter onset [26,27].…”

Section: Introductionmentioning

confidence: 99%

Fixture Optimization in Turning Thin-Wall Components

et al. 2019

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The turning of thin-walled components is a challenging process due to the flexibility of the parts. On one hand, static deflection due to the cutting forces causes geometrical and dimensional errors, while unstable vibration (i.e., chatter) could compromise surface quality. In this work, a method for fixturing optimization for thin-walled components in turning is proposed. Starting from workpiece geometry and toolpath, workpiece deflections and system dynamics are predicted by means of an efficient finite element modeling approach. By analyzing the different clamping configurations, a method to find the most effective solution to guarantee the required tolerances and stable cutting conditions is developed. The proposed method was tested as a case study, showing its application and achievable results.

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Section: Introductionmentioning

confidence: 99%

Fixture Optimization in Turning Thin-Wall Components

et al. 2019

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“…Krishnakumar et al [2] combined genetic algorithm (GA) with finite element analysis (FEA) to search the optimum fixture layout to minimize the part deformation. Liu et al [3] determined the initial number and positions of the locators by adding locators on the datum plane at the position with the maximum deformation repeatedly until the deformation was reduced within the range of milling accuracy. Prabhaharan et al [4,5] presented the fixture layout optimization methods that used GA and ant colony algorithm (ACA) separately combined with FEA to reduce the dimensional and form errors of the deformable workpiece.…”

Section: Introductionmentioning

confidence: 99%

Determination of the Number of Fixture Locating Points for Sheet Metal By Grey Model

et al. 2017

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Abstract. In the process of the traditional fixture design for sheet metal part based on the "N-2-1" locating principle, the number of fixture locating points is determined by trial and error or the experience of the designer. To that end, a new design method based on grey theory is proposed to determine the number of sheet metal fixture locating points in this paper. Firstly, the training sample set is generated by Latin hypercube sampling (LHS) and finite element analysis (FEA). Secondly, the GM(1, 1) grey model is constructed based on the established training sample set to approximate the mapping relationship between the number of fixture locating points and the concerned sheet metal maximum deformation. Thirdly, the final number of fixture locating points for sheet metal can be inversely calculated under the allowable maximum deformation. Finally, a sheet metal case is conducted and the results indicate that the proposed approach is effective and efficient in determining the number of fixture locating points for sheet metal.

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“…The workpiece deformation was modelled using FEM for the problems of fixture layout optimization with the objective of minimizing the dimensional and form errors. Liu et al [7] proposed a method to optimize the fixture layout in the peripheral milling of a low-rigidity workpiece. This paper dealt with the optimization of the number and positions of the locators only on the secondary locating surface.…”

Section: Introductionmentioning

confidence: 99%

Fixture Layout Design Based on a Single-Surface Clamping with Local Deformation

Tadić¹,

Todorovič²,

Novkinic³

2015

Int. j. simul. model.

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Proposed in this paper is a novel approach to fixture layout design. The contact interface between workpiece and fixture is reduced to a single workpiece surface. This allows reliable machining of the remaining five workpiece surfaces in a single setup. Workpiece clamping is performed by inserting special elements into prepared auxiliary openings on the workpiece. Clamping is thus reduced to indenting of sharp clamping element tips into the workpiece surface. Shallow indenting is performed on surfaces which have no practical function. Special device was designed to allow experimental investigation. Experimental results point towards the efficiency of the proposed approach. Workpiece displacements were small during machining and allowed the required machining accuracy. Furthermore, the results obtained during machining indicate high surface quality.

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Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece

Cited by 40 publications

References 17 publications

Fixture Optimization in Turning Thin-Wall Components

Fixture Optimization in Turning Thin-Wall Components

Determination of the Number of Fixture Locating Points for Sheet Metal By Grey Model

Fixture Layout Design Based on a Single-Surface Clamping with Local Deformation

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