A Technical Exploration of Sheet Metal Forming
DOI:
https://doi.org/10.15282/Keywords:
sheet metal, formingAbstract
Sheet metal forming is vital in automotive and aerospace manufacturing for producing strong, lightweight, and complex components. Processes like deep drawing, bending, and hydroforming rely heavily on factors such as material properties, tooling accuracy, and surface conditions. High-strength steels, heterostructure composites, and dual-phase materials offer improved strength and formability, while precise die and tool design help minimize defects.The adoption of Industry 4.0 technologies is revolutionizing forming operations. Smart sensors, strain gauges, and piezoelectrics enable real-time monitoring of force, wear, and material flow. AI models integrated with finite element simulations enhance shape prediction and defect control. Digital twin technology supports predictive maintenance and process optimization, reducing downtime and waste.Advanced techniques like hot stamping, laser-assisted forming, and hybrid processes improve energy efficiency and dimensional accuracy. Hemming and embossing are also used for joining and detailing with high precision. As industries push for lightweighting and sustainability, forming technologies support reduced emissions, better fuel efficiency, and material savings.Challenges such as springback, cracking, and tooling wear are being addressed with smart automation, better materials, and AI-based optimization. These innovations are shaping the future of forming—enabling smarter, cleaner, and more efficient manufacturing systems for high-performance applications.
References
Ahmad, W., McCormack, S. J., & Byrne, A. (2025). Biocomposites for sustainable construction: A review of material properties, applications, research gaps, and contribution to the circular economy. Journal of Building Engineering, 112525.
https://doi.org/10.1016/j.jobe.2025.112525
Ahn, K., & Kim, J. H. (2022). Localized necking of sheet metal under the biaxial stretching condition. Mechanics of Materials, 171, 104330. https://doi.org/10.1016/j.mechmat.2022.104330
Alves, R. G., Lima, F., Guedes, I. M. R., & Gimenez, S. P. (2025). Dynamic light optimization in vertical farming using an IoT-driven digital twin framework and artificial intelligence. Applied Soft Computing, 112985. https://doi.org/10.1016/j.asoc.2025.112985
Amini, A., Naeini, H. M., Azodi, H. D., Talebi-Ghadikolaee, H., Badparva, H., & Zeinolabedin-Beygi, A. (2024). Hydro-mechanical deep drawing of conical components: Wrinkling behavior and process enhancement. Journal of Engineering Research. https://doi.org/10.1016/j.jer.2024.04.005
Behrens, B., Hübner, S., Fink, D., Fünfkirchler, T., Wehmeyer, J., Dilger, K., Hartwig, S., & Gundlach, C. (2025). Enhancement of thin hot-stamped components using fiber-reinforced plastic structures with improved fatigue strength characteristics.
Procedia CIRP, 131, 125–129. https://doi.org/10.1016/j.procir.2024.09.020
Chen, Z., Cao, Y., Liu, H., Zhao, Z., & Li, D. (2025). Multiscale microstructure evolution and its influencing mechanism on yield strength and toughness of a newly high strength martensitic stainless bearing steel. Journal of Materials Research and Technology, 35, 5291–5306. https://doi.org/10.1016/j.jmrt.2025.02.144
Cizauskas, C., DeBenedictis, E., & Kelly, P. (2025). How the past is shaping the future of life science: The influence of automation and AI on biology. New Biotechnology. https://doi.org/10.1016/j.nbt.2025.03.004
Cui, X., Zhao, Y., Yin, S., & He, J. (2025). Deformation behavior of anisotropic TA18 titanium alloy tube in hydroforming process at room temperature. Advances in Industrial and Manufacturing Engineering, 100159. https://doi.org/10.1016/j.aime.2025.100159
Da Silva, B., Kasaei, M., Akhavan-Safar, A., Carbas, R., Marques, E., & Da Silva, L. (2024). Failure behavior of hole hemmed joints with a novel configuration for hybrid busbars in electric vehicle batteries. Engineering Failure Analysis, 167,
109019. https://doi.org/10.1016/j.engfailanal.2024.109019
Gao, R. X., Krüger, J., Merklein, M., Möhring, H.-C., & Váncza, J. (2024). Artificial intelligence in manufacturing: State of the art, perspectives, and future directions. CIRP Annals - Manufacturing Technology, 73, 723749. https://doi.org/10.1016/j.cirp.2024.04.101
Gao, Y., Yang, K., Li, J., Cheung, C. F., & Gong, F. (2024). An integrated hot embossing and thermal reflow method for precision manufacture of plano-convex glass microlens arrays. Precision Engineering. https://doi.org/10.1016/j.precisioneng.2024.11.001
Gong, Q., Wang, X., Zhang, D., Hou, X., Zhang, T., & Liu, H. (2022). Flow-through and forming mechanism of laser shock micro-coining. Journal of Materials Processing
Technology, 307, 117678. https://doi.org/10.1016/j.jmatprotec.2022.117678
Guo, Y., Bruno, G., Zhang, D., & Han, K. (2023). Analysis of low-carbon technology innovation efficiency and its influencing factors based on triple helix theory: Evidence from new energy enterprises in China. Heliyon, 9(10), e20308. https://doi.org/10.1016/j.heliyon.2023.e20308
Guo, Y., Wang, C., Han, S., Kosec, G., Zhou, Y., Wang, L., & Wahab, M. A. (2024). A deep neural network model for parameter identification in deep drawing metal forming process. Journal of Manufacturing Processes, 133, 380–394. https://doi.org/10.1016/j.jmapro.2024.11.067
Hamedon, Z., Mori, K., & Abe, Y. (2014). Hemming for joining high strength steel sheets. Procedia Engineering, 81, 2074–2079. https://doi.org/10.1016/j.proeng.2014.10.288
Maeno, T., Tomobe, M., Mori, K., & Ikeda, Y. (2018). Hot stamping of titanium alloy sheets using partial contact heating. Procedia Manufacturing, 15, 1149–1155. https://doi.org/10.1016/j.promfg.2018.07.375
Hamedon, Z., Mori, K., & Abe, Y. (2013). In-situ measurement of three-dimensional deformation behaviour of sheet and tools during stamping using borescope. Journal of Materials Processing Technology, 214(4), 945–950. https://doi.org/10.1016/j.jmatprotec.2013.11.016
Hafenecker, J., Bartels, D., Kuball, C., Kreß, M., Rothfelder, R., Schmidt, M., & Merklein, M. (2023). Hybrid process chains combining metal additive manufacturing and forming – A review. CIRP Journal of Manufacturing Science and Technology, 46, 98–115. https://doi.org/10.1016/j.cirpj.2023.08.002
Hosseinnejad, A., Saboohi, Y., Zarei, G., & Shayegan, J. (2023). An ergo economic based method for forming water quality pyramid and assessing the sustainability of recycling processes – A greenhouse case study. Sustainable Energy Technologies and Assessments, 59, 103408. https://doi.org/10.1016/j.seta.2023.103408
Hussain, G., Hassan, M., Wei, H., Buhl, J., Xiao, M., Iqbal, A., Qayyum, H., Riaz, A. A., Muhammad, R., & Ostrikov, K. (2023). Advances on Incremental forming of composite materials. Alexandria Engineering Journal, 79, 308–336. https://doi.org/10.1016/j.aej.2023.07.045
Jiang, G., Chen, Y., Jiang, Z., Huang, S., Meng, X., Hu, Y., & Zhou, J. (2025). Stress bending forming and tensile strengthening mechanism of the integral stiffened structures through laser peening. Materials Today Communications, 112101.
https://doi.org/10.1016/j.mtcomm.2025.112101
Liu, Y., Liu, G., & Xie, J. (2021). Optimization of draw die design in sheet metal forming based on FEA and response surface methodology. International Journal of Advanced Manufacturing Technology, 114, 2581–2594. https://doi.org/10.1007/s00170-021-07065-z
Madhusudhana, H. K., Gaitonde, V. N., & Jangali, G. S. (2021). A review on lightweight metal component forming and its application. Journal of Physics Conference Series, 2070(1), 012246. https://doi.org/10.1088/1742-6596/2070/1/012246
Mallick, P. (2020). Joining for lightweight vehicles. In Elsevier eBooks (pp. 321–371).
https://doi.org/10.1016/b978-0-12-818712-8.00008-2
Monegaglia, F., Peghini, N., Lenzi, E., Bettio, S., Calanca, P., Dallapiccola, D., Bertolli, A., & Mazzola, M. (2025). A physics-informed AI control system for enhanced safety and automation in hollow glass manufacturing. Procedia Computer Science, 253, 3123–3132. https://doi.org/10.1016/j.procs.2025.02.037
Pandy, G., Pugazhenthi, V. J., Murugan, A., & Jeyarajan, B. (2025). AI-powered robotics and automation: Innovations, challenges, and pathways to the future. European Journal of Computer Science and Information Technology, 13(1), 33–44.
https://doi.org/10.37745/ejcsit.2013/vol13n13344
Phiri, R., Rangappa, S. M., Siengchin, S., Oladijo, O. P., & Ozbakkaloglu, T. (2024). Advances in lightweight composite structures and manufacturing technologies: A comprehensive review. Heliyon, 10(21), e39661. https://doi.org/10.1016/j.heliyon.2024.e39661
Pokkalla, D. K., Garg, N., Paramanathan, M., Kumar, V., Rencheck, M. L., Nandwana, P., Kunc, V., Hassen, A. A., & Kim, S. (2024). Design optimization of lightweight automotive seatback through additive manufacturing compression overmolding of metal polymer composites. Composite. https://doi.org/10.1016/j.compstruct.2024.118504
Pourrahmani, H., Yavarinasab, A., Zahedi, R., Gharehghani, A., Mohammadi, M. H., Bastani, P., & Van Herle, J. (2022). The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines. Internet of
Things, 19, 100579. https://doi.org/10.1016/j.iot.2022.100579
Qian, F., Shi, Z., & Yang, L. (2024). A review of green, low-carbon, and energy-efficient research in sports buildings. Energies, 17, 4020. https://doi.org/10.3390/en17164020
Rame, R., Purwanto, P., & Sudarno, S. (2024). Industry 5.0 and sustainability: An overview of emerging trends and challenges for a green future. Innovation and
Green Development, 3(4), 100173. https://doi.org/10.1016/j.igd.2024.100173
Rosenthal, S., Maaß, F., Kamaliev, M., Hahn, M., Gies, S., & Tekkaya, A. E. (2020). Lightweight in automotive components by forming technology. Automotive Innovation, 3(3), 195–209. https://doi.org/10.1007/s42154-020-00103-3
Sandherr, J., Kleefoot, M., Nester, S., Weisenberger, C., DeSilva, A. K., Michel, D., Reeb, S., Fingerle, M., Riegel, H., & Knoblauch, V. (2023). Micro embossing of graphite-based anodes for lithium-ion batteries to improve cell performance. Journal of Energy Storage, 65, 107359. https://doi.org/10.1016/j.est.2023.107359
Soldado, E., Antunes, A., Costa, H., Carmo, R. D., & Júlio, E. (2021). Influence of pozzolan, slag and recycled aggregates on the mechanical and durability properties of low cement concrete. Materials, 14(15), 4173. https://doi.org/10.3390/ma14154173
Schiller, M., Frohn-Sörensen, P., Schreiber, F., Morez, D., Manns, M., & Engel, B. (2024). Smart design and additive manufacturing of bending tools to improve production flexibility. Manufacturing Letters, 41, 91–102. https://doi.org/10.1016/j.mfglet.2024.09.013
Schnack, A., & Gan, C. (2024). Facilitators and inhibitors of different forms of sustainable consumption: Consumer surveys in Australia and New Zealand. Cleaner and Responsible Consumption, 14, 100207. https://doi.org/10.1016/j.clrc.2024.100207
Shadkam, E., & Irannezhad, E. (2025). A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0. Engineering Applications of Artificial Intelligence, 143, 109930. https://doi.org/10.1016/j.engappai.2024.109930
Shahin, R. I., Ahmed, M., Liang, Q. Q., & Yehia, S. A. (2024). Predicting the web crippling capacity of cold-formed steel lipped channels using hybrid machine learning techniques. Engineering Structures. https://doi.org/10.1016/j.engstruct.2024.118061
Song, Z., Wang, K., Zhao, H., Ma, L., Gao, J., Wu, H., Huang, Y., Zhang, C., Lu, J., Wang, S., & Mao, X. (2025). Al-SI alloyed uncoated hot stamping steels for enhanced oxidation resistance. Journal of Materials Research and Technology.
https://doi.org/10.1016/j.jmrt.2025.01.173
Sun, H., Zou, B., Wang, X., Chen, W., Zhang, G., Quan, T., & Huang, C. (2024). Advancements in multi-material additive manufacturing of advanced ceramics: A
review of strategies, techniques and equipment. Materials Chemistry and Physics,
319, 129337. https://doi.org/10.1016/j.matchemphys.2024.129337
Wang, S., Zhu, W., Er, S., & Sun, H. (2024). Modeling and experiment for the roller hemming of variable curvature aluminum alloy panel with adhesive. Journal of
Manufacturing Processes, 129, 161–175. https://doi.org/10.1016/j.jmapro.2024.08.045
Wróbel, I., Skowronek, A., & Grajcar, A. (2022). A review on hot stamping of Advanced High-Strength Steels: Technological–Metallurgical aspects and numerical simulation. Symmetry, 14(5), 969. https://doi.org/10.3390/sym14050969
Wronski, T., & Sciacovelli, A. (2024). Analysis of the potential of four reactive metals as zero-carbon energy carriers for energy storage and conversion. Journal of Energy
Storage, 100, 113514. https://doi.org/10.1016/j.est.2024.113514
Xu, Y., Zhang, X., Xie, W., Zhang, S., Huang, X., Tian, Y., & Chen, L. (2024). Fuzzy control optimization of loading paths for hydroforming of variable diameter tubes. Computers, Materials & Continua, 81(2), 2753–2768. https://doi.org/10.32604/cmc.2024.055408
Yan, L., & Xu, H. (2025). Lightweight composite materials in automotive engineering: State-of-the-art and future trends. Alexandria Engineering Journal, 118, 1–10.
https://doi.org/10.1016/j.aej.2024.12.002
Zeng, C., Fang, X., Habibi, N., Münstermann, S., & Lian, J. (2024). A rate-dependent damage mechanics model for predicting plasticity and ductile fracture behavior of sheet metals at high strain rates. Engineering Fracture Mechanics, 306, 110217.
https://doi.org/10.1016/j.engfracmech.2024.110217
Zhao, Z., Liu, T., Zhang, L., Xie, S., & Jin, H. (2025). Enhancing autonomous vehicle safety: An integrated ensemble learning-LogIT model for accident severity prediction and analysis. International Journal of Transportation Science and
Technology. https://doi.org/10.1016/j.ijtst.2025.03.005
Zhou, Z., Sun, Z., Shan, Z., Guo, K., Yang, T., Yang, H., Deng, Z., & Guo, Z. (2025). Advanced composite performs forming technology for structures and its digitization: A review. Thin-Walled Structures, 211, 113053. https://doi.org/10.1016/j.tws.2025.113053
Zhu, C., Xu, J., Yu, H., Shan, D., & Guo, B. (2022). Hybrid forming process combining electromagnetic and quasi-static forming of ultra-thin titanium sheets: Formability and mechanism. International Journal of Machine Tools and
Manufacture, 180, 103929. https://doi.org/10.1016/j.ijmachtools.2022.103929
Zhu, S., Chen, W., Zhao, J., & Yuan, S. (2024). Effect of strain state on the surface roughening for hydroforming of aluminum alloy tube based on cross-scale numerical modeling. Journal of Materials Research and Technology, 32, 2502–
Published
Issue
Section
License
Copyright (c) 2025 The Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
