Abstract
As one of the vital technological factors influencing the machining quality, machine tool fixture has been regarded as an important research object by scholars at home and abroad. In this paper, a new method for rapid evaluation of clamping scheme was presented based on the study of machining deformation of aerospace complex thin-walled parts. Firstly, Through the modal analysis of the thin-walled parts, the weak links of the structure and the direction of the large vibration displacement of the nodes are found. Then, the maximum displacement and natural frequency of the main vibration direction under different clamping schemes were obtained after intercepting several nodes and analyzing through FE software. The optimal clamping scheme was obtained through the result comparison. Finally, based on the existing research results, a mathematical model of evaluating the complexity of fixture characteristics was constructed. In this model, the stiffness values of multiple joints were considered, and the characteristic machining stiffness and the average value ∆K were obtained so as to evaluate the deformation resistance of the thin-walled parts. The influence of different clamping schemes on machining quality was quantitatively evaluated by the index. On the basis of the proposed method, a case study of aerospace thin-walled parts was conducted, and then the rapid evaluation and optimization of the milling clamping scheme for thin-walled parts were realized.
Similar content being viewed by others
Availability of data and materials
The data and materials that support the findings of this study are available from the corresponding author upon reasonable request. All data generated or analyzed during this study are included in this published article.
References
Prabhaharan G, Padmanaban KP, Krishnakumar R (2007) Machining fixture layout optimization using FEM and evolutionary techniques. Int J Adv Manuf Technol 32(11-12):1090–1103
Yu K (2019) Robust fixture design of compliant assembly process based on a support vector regression model. Int J Adv Manuf Technol 103:111–126
Pelinescu DM, Wang MY (2002) Multi-objective optimal fixture layout design. Robot Comput Integr Manuf 18(5):365–372
Joel MCF, Ricardo DM, Renan PC (2019) A contribution for increasing workpiece location accuracy in a 3-2-1 fixture system. Proc Inst Mech Eng 233(4):1332–1335
Cai W, Hu SJ, Yuan J et al (1997) A variational method of robust fixture configuration design for 3-D workpieces. J Manuf Sci Eng Trans ASME 119(4):593–602
Corrado A, Polini W, Moroni G et al (2016) Robust design of a fixture configuration in the presence of form deviations. Procedia CIRP 43:35–40
Wu D, Wang H, Peng J et al (2019) Machining fixture for adaptive CNC machining process of near-net-shaped jet engine blade. Chin J Aeronaut
Zhang ZH, Zhang D, Luo M et al (2019) A novel in-process machining deformation perception and control method. Int Conf Adv Intell Mechatron:685–690
Raghu A, Melkote SN (2004) Analysis of the effects of fixture clamping sequence on part location errors. Int J Mach Tool Manu 44(4):373–382
Raghu A, Melkote SN (2005) Modeling of workpiece location error due to fixture geometric error and fixture-workpiece compliance. J Manuf Sci Eng Trans ASME 127(1):75–83
Lu J, Zhou K (2011) Multi-point location theory, method, and application for flexible tooling system in aircraft manufacturing. Int J Adv Manuf Technol 54(5):729–736
Hu F (2014) Location issues of thin shell parts in the reconfigurable fixture for trimming operation. J Aerosp Technol Manag 6(3):319–331
Hu F, Li D (2011) Process planning and simulation strategies for perimeter milling of thin-walled flexible parts held by reconfigurable fixturing system. Int Conf Meas Technol Mechatron Autom:922–926
Lourens DD, Pieter JTC (2017) Suitable clamping method for milling of thin-walled Ti6A14V components. Procedia Manuf 8:338–344
Fei J, Lin B, Xiao J (2018) Investigation of moving fixture on deformation suppression duringmilling process of thin-walled structures. J Manuf Process 32:403–411
Wu D, Zhao B, Wang H, Zhang K, Yu J (2020) Investigate on computer-aided fixture design and evaluation algorithm for near-net-shaped jet engine blade. J Manuf Process 54:393–412
Pan M, Tang W, Xing Y, Ni J (2017) The clamping position optimization and deformation analysis for an antenna thin wall parts assembly with ASA, MIGA and PSO algorithm. Int J Precis Eng Manuf 18(3):345–357
Hajimiri H, Abedini V, Shakeri M, Siahmargoei MH (2018) Simultaneous fixturing layout and sequence optimization based on genetic algorithm and finite element method. Int J Adv Manuf Technol 97(9):3191–3204
Milad K, Maryam GS, Abdolreza O (2020) Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm. 234(6):1137–1145
Guo WC, Wu CJ, Ding ZS et al (2021) Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding. The J Adv Manuf Technol 112(9):2853–2871
Qin G, Zhang W, Wu Z, Wan M (2007) Systematic modeling of workpiece-fixture geometric default and compliance for the prediction of workpiece machining error. J Manuf Sci Eng Trans ASME 129(4):789–801
Qin G, Zhang W, Wan M (2006) Analysis and optimal design of fixture clamping sequence. Trans ASME J Manuf Sci Eng 128(2):482–493
Wang L, Si H (2018) Machining deformation prediction of thin-walled workpieces in five-axis flank milling. Int J Adv Manuf Technol 97(9):4179–4193
Chen W, Ni L, Xue J (2008) Deformation control through fixture layout design and clamping force optimization. Int J Adv Manuf Technol 38(9–10):860–867
Wan X, Xiong C, Wang X et al (2009) Analysis–synthesis of dimensional deviation of the machining feature for discrete-part manufacturing processes. Int J Mach Tool Manu 49(15):1214–1233
Wan X, Hua L, Wang X, Peng Q, Qin X (2010) An error control approach to tool path adjustment conforming to the deformation of thin-walled workpiece. Int J Mach Tool Manu 51(3):221–229
Wan X, Xiong C, Hua L et al (2011) Synchronous adjustment of milling tool path based on the relative deviation. J Manuf Sci Eng Trans ASME 133(5):101–119
Jiang XH, Gao S, Zhang Y et al (2021) Prediction modeling of surface roughness in milling of carbon fiber reinforced polymers (CFRP). https://doi.org/10.1007/S00170-021-06609-2
Jiang XH, Kong XJ, Zhang ZY, Wu Z, Ding Z, Guo M (2020) Modeling the effects of Undeformed Chip Volume (UCV) on residual stresses during the milling of curved thin-walled parts. Int J Mech Sci 167:105162
Jiang XH, Li BZ, Yang JG, Zuo XY (2013) Effects of tool diameters on the residual stress and distortion induced by milling of thin-walled part. Int J Adv Manuf Technol 68(1-4):175–186
Funding
This project is supported by Innovation Funding of Shanghai Aerospace Science and Technology (Grant No. SAST2019-065).
Author information
Authors and Affiliations
Contributions
Jinhuan Su: conceptualization, methodology. Yan Cai: data curation, validation, writing—original draft preparation. Xiaohui Jiang: visualization, investigation. Yunyue Qiang: supervision. Xiao Liu: writing—reviewing and editing.
Corresponding author
Ethics declarations
Ethical approval
Compliance with ethical approval.
Consent to participate and publish
The authors agreed to participate and publish.
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Su, J., Cai, Y., Jiang, X. et al. Modeling of stiffness characteristic on evaluating clamping scheme of milling of thin-walled parts. Int J Adv Manuf Technol 113, 1861–1872 (2021). https://doi.org/10.1007/s00170-021-06740-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-021-06740-0