Abstract
Advanced high strength steel (AHSS) has been widely used in automobile components due to its good lightweight effect and high safety. 3D laser cutting is the most dominant method for removing material from AHSS. However, the springback in the whole manufacturing process severely causes 3D laser cutting path deviations. To improve the cutting accuracy, a novel 3D laser cutting path compensation method considering the springback transfer is proposed in this paper. The AHSS A-pillar is used to investigate the springback behavior in the whole process. The hot stamping finite element model and 3D laser cutting finite element model are established, respectively. Through the finite element simulation analysis, the accuracy evolution law of the part during the whole process is discussed. Based on the accuracy evolution law of the hot stamping and the accuracy evolution law of the laser cutting process, the proposed compensation method is employed to modify the laser cutting path. The modified path is then applied to a 3D laser cutting experiment. The experimental results show that the deviation value is reduced by about 15% compared with the conventional 3D laser cutting process. The proposed 3D laser cutting path compensation method shows the advantage of high accuracy, which can also effectively improve production efficiency.
Similar content being viewed by others
References
Safari H, Nahvi H, Esfahanian M (2017) Improving automotive crashworthiness using advanced high strength steels. Int J Crashworthines 23(6):645–659. https://doi.org/10.1080/13588265.2017.1389624
Wang Z, Lu Q, Cao ZH, Chen H, Huang MX, Wang JF (2022) Review on Hydrogen Embrittlement of Press-hardened Steels for Automotive Applications. Acta Metall Sinica (English Letters). https://doi.org/10.1007/s40195-022-01408-4
Miraoui I, Boujelbene M, Zaied M (2016) High-Power Laser Cutting of Steel Plates: Heat Affected Zone Analysis. Adv Mater Sci Eng. https://doi.org/10.1155/2016/1242565
Russo Spena P (2017) CO2 Laser Cutting of Hot Stamping Boron Steel Sheets. Metals-Basel. https://doi.org/10.3390/met7110456
Gautam GD, Mishra DR (2019) Dimensional accuracy improvement by parametric optimization in pulsed Nd:YAG laser cutting of Kevlar-29/basalt fiber-reinforced hybrid composites. J Braz Soc Mech Sci. https://doi.org/10.1007/s40430-019-1783-y
Shrivastava PK, Singh B, Shrivastava Y, Pandey AK (2019) Prediction of geometric quality characteristics during laser cutting of Inconel-718 sheet using statistical approach. J Braz Soc Mech Sci 41(5). https://doi.org/10.1007/s40430-019-1727-6
Nguyen V, Altarazi F, Tran T, Hu J (2022) Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology. Math Probl Eng 2022:1–14. https://doi.org/10.1155/2022/6677586
Madić M, Mladenović S, Gostimirović M, Radovanović M, Janković P (2020) Laser cutting optimization model with constraints: Maximization of material removal rate in CO2 laser cutting of mild steel. Proc IME B J Eng Manuf. https://doi.org/10.1177/0954405420911529
Shrivastava PK, Singh B, Shrivastava Y, Pandey AK, Nandan D (2019) Investigation of optimal process parameters for laser cutting of Inconel-718 sheet. Proc Inst Mech Eng C J Mech Eng Sci. https://doi.org/10.1177/0954406219895533
Girdu CC, Gheorghe C, Radulescu C, Cirtina D (2021) Influence of Process Parameters on Cutting Width in CO2 Laser Processing of Hardox 400 Steel. Applied Sciences 11(13). https://doi.org/10.3390/app11135998
Jadhav A, Kumar S (2019) Laser cutting of AISI 304 material: an experimental investigation on surface roughness. Adv Mater Process Technol 5(3):429–437. https://doi.org/10.1080/2374068x.2019.1622297
Buj-Corral I, Costa-Herrero L, Dominguez-Fernandez A (2021) Effect of Process Parameters on the Quality of Laser-Cut Stainless Steel Thin Plates. Metals-Basel 11(8). https://doi.org/10.3390/met11081224
Ninikas K, Kechagias J, Salonitis K (2021) The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets. J Manuf Mater Process. https://doi.org/10.3390/jmmp5030074
Lazov L, Nikolić V, Jovic S, Milovančević M, Deneva H, Teirumenieka E, Arsic N (2018) Evaluation of laser cutting process with auxiliary gas pressure by soft computing approach. Infrared Phys Technol. https://doi.org/10.1016/j.infrared.2018.04.007
Nabavi SF, Farshidianfar MH, Farshidianfar A, Marandi S (2022) Dross formation modeling in the laser beam cutting process using energy-based and gas-based parameters. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-022-09019-0
Chaki S, Bathe RN, Ghosal S, Padmanabham G (2018) Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN-NSGAII model. J Intell Manuf 29(1):175–190. https://doi.org/10.1007/s10845-015-1100-2
Rohman MN, Ho JR, Tung PC, Lin CT, Lin CK (2022) Prediction and optimization of dross formation in laser cutting of electrical steel sheet in different environments. J Market Res. https://doi.org/10.1016/j.jmrt.2022.03.106
Shin JS, Oh SY, Park H, Chung CM, Seon S, Kim TS, Lee L, Choi B-S, Moon J-K (2017) High-speed fiber laser cutting of thick stainless steel for dismantling tasks. Opt Laser Technol. https://doi.org/10.1016/j.optlastec.2017.03.040
Oh SY, Shin JS, Kim TS, Park H, Lee L, Chung CM, Lee J (2019) Effect of nozzle types on the laser cutting performance for 60-mm-thick stainless steel. Opt Laser Technol. https://doi.org/10.1016/j.optlastec.2019.105607
Rodrigues GC, Levichev N, Vorkov V, Duflou JR (2019) Thickness validation of modeling tools for laser cutting applications. Procedia Manufacturing. https://doi.org/10.1016/j.promfg.2019.02.152
Shin JS, Oh SY, Park SK, Park H, Lee J (2021) Improved underwater laser cutting of thick steel plates through initial oblique cutting. Opt Laser Technol. https://doi.org/10.1016/j.optlastec.2021.107120
Jiang HJ, Ren YX, Lian JW, Xu WL, Gao NH, Wang X-G, Jia C-S (2022) A new predicting model study on U-shaped stamping springback behavior subjected to steady-state temperature field. J Manuf Process 76:21–33. https://doi.org/10.1016/j.jmapro.2022.02.004
Lajarin SF, Filho RAC, Rebeyka CJ, Nikhare CP, Marcondes PVP (2020) Numerical study on variation of chord modulus on the springback of high-strength steels. Int J Adv Manuf Technol 106(11–12):4707–4713. https://doi.org/10.1007/s00170-020-04975-x
Gautam V, Kumar DR (2018) Experimental and numerical investigations on springback in V-bending of tailor-welded blanks of interstitial free steel. P I Mech Eng B-J Eng 232(12):2178–2191. https://doi.org/10.1177/0954405416687146
Wang Z, Hu Q, Yan J, Chen J (2016) Springback prediction and compensation for the third generation of UHSS stamping based on a new kinematic hardening model and inertia relief approach. Int J Adv Manuf Technol 90(1–4):875–885. https://doi.org/10.1007/s00170-016-9439-x
Dang VT, Labergère C, Lafon P (2018) Adaptive metamodel-assisted shape optimization for springback in metal forming processes. Int J Mater Form 12(4):535–552. https://doi.org/10.1007/s12289-018-1433-4
Lin J, Hou Y, Min J, Tang H, Carsley JE, Stoughton TB (2019) Effect of constitutive model on springback prediction of MP980 and AA6022-T4. Int J Mater Form 13(1):1–13. https://doi.org/10.1007/s12289-018-01468-x
Li B, Melkote SN (2001) Fixture Clamping Force Optimisation and its Impact on Workpiece Location Accuracy. Int J Adv Manuf Technol. https://doi.org/10.1007/s001700170198
Abedini V, Shakeri M, Siahmargouei MH, Baseri H (2014) Analysis of the influence of machining fixture layout on the workpiece’s dimensional accuracy using genetic algorithm. Proc IME B J Eng Manuf. https://doi.org/10.1177/0954405413519605
Kang J, Chunzheng D, Jinxing K, Yi C, Yuwen S, Shanglin W (2020) Prediction of clamping deformation in vacuum fixture–workpiece system for low-rigidity thin-walled precision parts using finite element method. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-020-05745-5
Dingqiang P, Liming W, Chris KM, Yimin S (2021) Position prediction and error compensation for a large thin-walled box-shaped workpiece in a fixture. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-021-07632-z
Huang HL, Jywe WY, Cho MC (2015) Development of a simple laser-based 2D contouring accuracy compensation system for the laser cutting machine. Optik. https://doi.org/10.1016/j.ijleo.2015.08.244
Funding
This study was funded by the National Natural Science Foundation of China (grant numbers 52075400, 52275368); Independent Innovation Projects of the Hubei Longzhong Laboratory(2022ZZ-04); the 111 Project (grant number B17034), and the Key Research and Development Program of Hubei Province (grant number 2021BAA200).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of interest
We confirm that there are no known conflicts of interest associated with this work.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, R., Hu, Z., Pang, Q. et al. Accuracy evolution and path compensation in 3D laser cutting process for advanced high strength steel parts: numerical analysis and experimental investigation. Int J Mater Form 16, 12 (2023). https://doi.org/10.1007/s12289-022-01734-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12289-022-01734-z