Abstract
In this study, the focus is on investigating prevalent issues of rupture and wrinkling that occur during the extra-deep drawing process. These defects are very common in a local sanitary equipment industrial company, mainly in the manufacture of bathtubs, which increases scrap and leads to loss of time and costs in production. To analyze these defects, a numerical simulation of the bathtub extra-deep drawing process was performed with industrial parameters. The originality lies in controlling non-uniform blank holder pressures generated from six actuators in order to control the flow of the blank between the blank holder and the die and ensure the production of defect-free bathtubs. 3D and ultrasonic thickness measurements were performed on a bathtub manufactured without defects. Numerical and experimental plots of the thickness reduction show that the two approaches are in good agreement. The numerical results demonstrate that there are no rupture or wrinkling defects in the bathtub final shape, which exactly matches the actual case manufactured by the company. The numerical analysis was also performed on different cases that can cause rupture and wrinkling defects, namely: the influence of the blank holder pressure, the blank initial shape, and the die design using draw beads.
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References
EIMS (2024) Entreprise industrielle de materiel sanitaire (EIMS-Miliana), Algeria. https://www.eimsanitaire.dz/. Accessed 1 Feb 2024
Colgan M, Monaghan J (2003) Deep drawing process: analysis and experiment. J Mater Process Technol 132:35–41. https://doi.org/10.1016/S0924-0136(02)00253-4
Padmanabhan R, Oliveira MC, Alves JL, Menezes LF (2007) Influence of process parameters on the deep drawing of stainless steel. Finite Elem Anal Des 43:1062–1067. https://doi.org/10.1016/j.finel.2007.06.011
Singh C, Agnihotri G (2015) Study of deep drawing process parameters: a review. Int J Sci Res Publ 5(2):1–5
Chen F-K, Chiang B-H (1997) Analysis of die design for the stamping of a bathtub. J Mater Process Technol 72:421–428. https://doi.org/10.1016/S0924-0136(97)00205-7
Woźniak D, Głowacki M, Hojny M et al (2015) Analysis of die design for the stamping of a bathtub. Arch Metall Mater 60:661. https://doi.org/10.1515/amm-2015-0189
Tomáš M, Evin E, Kepič J, Hudák J (2019) Physical modelling and numerical simulation of the deep drawing process of a box-shaped product focused on material limits determination. Metals (Basel) 9:1–16. https://doi.org/10.3390/met9101058
Kitayama S, Koyama H, Kawamoto K et al (2017) Numerical and experimental case study on simultaneous optimization of blank shape and variable blank holder force trajectory in deep drawing. Struct Multidiscip Optim 55:347–359. https://doi.org/10.1007/s00158-016-1484-4
Feng Y, Hong Z, Gao Y et al (2019) Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region. Int J Adv Manuf Technol 105:4265–4278. https://doi.org/10.1007/s00170-019-04477-5
Wurster KM, Liewald M, Blaich C (2011) Procedure for automated virtual optimization of variable blank holder force distributions for deep-drawing processes with LS-Dyna and optiSLang. Weimarer Optimierungs-und Stochastiktage 8:1–6
Zhong-qin L, Wu-rong W, Guan-long C (2007) A new strategy to optimize variable blank holder force towards improving the forming limits of aluminum sheet metal forming. J Mater Process Technol 183:339–346. https://doi.org/10.1016/j.jmatprotec.2006.10.027
Sun G, Li G, Gong Z et al (2010) Multiobjective robust optimization method for drawbead design in sheet metal forming. Mater Des 31:1917–1929. https://doi.org/10.1016/j.matdes.2009.10.050
Sun G, Li G, Gong Z et al (2011) Radial basis functional model for multi-objective sheet metal forming optimization. Eng Optim 43:1351–1366. https://doi.org/10.1080/0305215X.2011.557072
Gharehchahi H, Kazemzadeh-Parsi MJ, Afsari A, Mohammadi M (2021) Blank shape optimization in the deep drawing process by sun method. Prod Eng 15:735–750. https://doi.org/10.1007/s11740-021-01049-z
Ghennai W, Boussaid O, Bendjama H et al (2019) Experimental and numerical study of DC04 sheet metal behaviour—plastic anisotropy identification and application to deep drawing. Int J Adv Manuf Technol 100:361–371. https://doi.org/10.1007/s00170-018-2700-8
Ghennai W, Boussaid O, Bendjama H, Guersi N (2019) Pressure and friction effects on the mechanical behaviour of a ductile material during deep drawing. Int J Eng Res Africa 41:8–19. https://doi.org/10.4028/www.scientific.net/JERA.41.8
Neto DM, Oliveira MC, Santos AD et al (2017) Influence of boundary conditions on the prediction of springback and wrinkling in sheet metal forming. Int J Mech Sci 122:244–254. https://doi.org/10.1016/j.ijmecsci.2017.01.037
Bahanan W, Fatimah S, Go JH et al (2023) A finite element analysis of cold deep drawing of al alloy considering friction condition and corner design of plunger. Lubricants 11:388
Kim H, Sung JH, Sivakumar R, Altan T (2007) Evaluation of stamping lubricants using the deep drawing test. Int J Mach Tools Manuf 47:2120–2132. https://doi.org/10.1016/j.ijmachtools.2007.04.014
Heingärtner J, Bonfanti D, Harsch D et al (2018) Implementation of a tribology-based process control system for deep drawing processes. IOP Conf Ser Mater Sci Eng 418:12112. https://doi.org/10.1088/1757-899x/418/1/012112
Leotoing L, Guines D, Zidane I, Ragneau E (2013) Cruciform shape benefits for experimental and numerical evaluation of sheet metal formability. J Mater Process Technol 213:856–63. https://doi.org/10.1016/j.jmatprotec.2012.12.013
Zidane I, Guines D, Leotoing L, Ragneau E (2010) Development of an in-plane biaxial test for forming limit curve (FLC) characterization of metallic sheets. Meas Sci Technol 21:55701
DASSAULT SYSTEMES (2016) Abaqus/CAE User’s Guide (2016). In: Rigid body Defin. http://62.108.178.35:2080/texis/search/hilight2.html/+/usb/pt01ch02s04.html?CDB=v2016. Accessed 10 Jan 2024
Önder E, Tekkaya AE (2008) Numerical simulation of various cross sectional workpieces using conventional deep drawing and hydroforming technologies. Int J Mach Tools Manuf 48:532–542
Kim YS, Jain MK, Metzger DR (2012) Determination of pressure-dependent friction coefficient from draw-bend test and its application to cup drawing. Int J Mach Tools Manuf 56:69–78. https://doi.org/10.1016/j.ijmachtools.2011.12.011
Hill R (1993) A user-friendly theory of orthotropic plasticity in sheet metals. Int J Mech Sci 35:19–25. https://doi.org/10.1016/0020-7403(93)90061-X
Belguebli A, Zidane I, Hadj Amar A, Benhamou A (2024) Numerical investigation of an extra-deep drawing process with industrial parameters: formability analysis and process optimization. Frat ed Integrità Strutt 18:45–62. https://doi.org/10.3221/IGF-ESIS.68.03
DASSAULT SYSTEMES (2016) Abaqus/CAE User’s Guide (2016). In: Underst. Interact. http://62.108.178.35:2080/v2016/books/usi/default.htm?startat=pt03ch15s03.html. Accessed 10 Apr 2024
Şener B, Kurtaran H (2016) Modeling the deep drawing of an AISI 304 stainless-steel rectangular cup using the finite-element method and an experimental validation. Mater Tehnol 50:961–965. https://doi.org/10.17222/MIT.2015.278
Keeler SP (1977) Relationship between laboratory material characterization and press-shop formability
Paul SK (2021) Controlling factors of forming limit curve: a review. Adv Ind Manuf Eng 2:100033. https://doi.org/10.1016/j.aime.2021.100033
Holmberg S, Enquist B, Thilderkvist P (2004) Evaluation of sheet metal formability by tensile tests. J Mater Process Technol 145:72–83. https://doi.org/10.1016/j.jmatprotec.2003.07.004
Briesenick D, Liewald M (2024) Efficient net shape forming of high-strength sheet metal parts by transversal compression drawing. Int J Adv Manuf Technol 130:3053–3063. https://doi.org/10.1007/s00170-023-12880-2
Shafiee Sabet A, Domitner J, Öksüz KI et al (2021) Tribological investigations on aluminum alloys at different contact conditions for simulation of deep drawing processes. J Manuf Process 68:546–557. https://doi.org/10.1016/j.jmapro.2021.05.050
Abbadeni M, Zidane I, Zahloul H et al (2017) Finite element analysis of fluid-structure interaction in the hydromechanical deep drawing process. J Mech Sci Technol 31. https://doi.org/10.1007/s12206-017-1043-y
Venema J, Hazrati J, Atzema E et al (2021) Multiscale friction model for hot sheet metal forming. Friction. https://doi.org/10.1007/s40544-021-0504-6
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This research was supported by the Algerian Ministry of Higher Education and Scientific Research, the Directorate General for Scientific Research, and the Algerian EIMS company-Miliana.
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Hadj Amar, A., Zidane, I., Zahloul, H. et al. Controlling non-uniform blank holder pressures in an extra-deep drawing process for enhancing formability and product quality. Int J Adv Manuf Technol (2024). https://doi.org/10.1007/s00170-024-13746-x
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DOI: https://doi.org/10.1007/s00170-024-13746-x