Comparison and analysis of main effect elements of machining distortion for aluminum alloy and titanium alloy aircraft monolithic component

Yang, Yong; Li, M.; Li, K. R.

doi:10.1007/s00170-013-5431-x

Cited by 95 publications

(20 citation statements)

References 11 publications

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“…This hypothesis is based on a very low plastic strain and negligible thermal effect due to milling when the tool rotation speed and feed are high. Yang et al [18] and Cerutti et al [9] also assumed that the main factor affecting part distortion is the initial residual stresses (before machining) and that those induced during milling are of second order. To validate these hypotheses, a comparison was conducted between part distortion before and after removing layers by wire electrical discharge machining (EDM) [19].…”

Section: Principle Of Layer Removal Methodsmentioning

confidence: 99%

Instrumented clamping device and numerical simulations to study machining distortion

Cherif

Cotton

Poulachon

et al. 2019

Int J Adv Manuf Technol

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Machining part distortion is due to residual stresses induced by previous manufacturing processes. This study aims to evaluate the influence of machining conditions on AISI 316L plate distortion. Therefore, a special experimental device with force sensors integrated in the clamping system and numerical model of distortion were developed. Residual stresses due to previous machining processes were measured using a layer removal method and neutron diffraction technique. Then, distributions of these residual stresses were integrated in a developed model of machining distortion, which considers the clamping and machining sequence effects after each stage of the toolpath. A comparison of the experimental and numerical results revealed that the finite element method can adequately predict machining distortion. The results also suggest that clamping and machining sequence can affect part distortion.

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Section: Principle Of Layer Removal Methodsmentioning

confidence: 99%

Instrumented clamping device and numerical simulations to study machining distortion

Cherif

Cotton

Poulachon

et al. 2019

Int J Adv Manuf Technol

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show abstract

“…In the case of aluminium alloys, some authors [3][4][5][6] reported that the main cause for MD lies in the redistribution of the BIRS profile after the material is removed and a new equilibrium is reached. Even in cases at which machining blanks are stress relieved treated, BIRS are still a major source of distortion due to the high asymmetry of aerospace monolithic components with thin walls and webs.…”

Section: Introductionmentioning

confidence: 99%

Machining Stresses and Initial Geometry on Bulk Residual Stresses Characterization by On-Machine Layer Removal

Aurrekoetxea

Lacalle²,

Llanos

2020

Materials

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Prediction and control of machining distortion is a primary concern when manufacturing monolithic components due to the high scrap and rework costs involved. Bulk residual stresses, which vary from blank to blank, are a major factor of machining distortion. Thus, a bulk stress characterization is essential to reduce manufacturing costs linked to machining distortion. This paper proposes a method for bulk stress characterization on aluminium machining blanks, suitable for industrial application given its low requirements on equipment, labour expertise, and computation time. The method couples the effects of bulk residual stresses, machining stresses resulting from cutting loads on the surface and raw geometry of the blanks, and presents no size limitations. Experimental results confirm the capability of the proposed method to measure bulk residual stresses effectively and its practicality for industrial implementation.

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“…Yang et al. 7 investigated the effect elements of machining distortion for thin-walled parts by finite element simulation and experiment. Li et al.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al 6 presented a mathematical method to study distortion in thin-walled parts during the milling and given the actual milling situation. Yang et al 7 investigated the effect elements of machining distortion for thin-walled parts by finite element simulation and experiment. Li et al 8 presented an optimization model to improve the overall workpiece deflection and reaction force characteristics.…”

Section: Introductionmentioning

confidence: 99%

Research on a thin-walled part manufacturing method based on information-localizing technology

Wang

Hou

Wang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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A new information-localization strategy for machining large thin-walled parts is presented in this paper. This strategy uses sub-areas and fiducials calibration methods to improve processing precision of large thin-walled parts, which are of poor machinability, low rigidity, and poor deformation coupling. In our experiments, the large thin-walled part is firstly divided into several sub-areas based on the actual state of the workpiece sampled by a binocular vision sensor. And then each divided sub-area is calibrated by the machining benchmark fiducials. Finally, the machining error of each sub-area is automatically compensated based on the measurement results of fiducials in each sub-area by the touch probe. Two verification experiments show that the proposed strategy is feasible and efficient.

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Comparison and analysis of main effect elements of machining distortion for aluminum alloy and titanium alloy aircraft monolithic component

Cited by 95 publications

References 11 publications

Instrumented clamping device and numerical simulations to study machining distortion

Instrumented clamping device and numerical simulations to study machining distortion

Machining Stresses and Initial Geometry on Bulk Residual Stresses Characterization by On-Machine Layer Removal

Research on a thin-walled part manufacturing method based on information-localizing technology

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