Skip to main content
SpringerLink
Log in

Stamping process analysis in an industrial plant and its limitations to obtain an industrializable Continuous Twin

  • Manufacturing empowered by digital technologies and twins
  • Published:
International Journal of Material Forming Aims and scope Submit manuscript

Abstract

This article aims to define the problem of the development of a “Continuous Twin” in any stamping process installed in an industry. A “Continuous Twin” is a modeling concept using the information available in both worlds, the virtual twin (simulation) and the digital twin (real-time data) of the process. There is currently a trend in the industry related to IIoT (Industrial Internet of Things) and linked to Industry 4.0. IIoT is the collection of sensors, instruments and autonomous devices connected through the internet to industrial applications. However, filling with sensors the entire industry and channelling all that information through industrial networks is a utopia. In our previous works, a new concept for generating industrializable IIoT applications has been presented, Industrializable Industrial Internet of Things (I3oT). The purpose of the I3oT is using the installations available in factories to develop IIoT applications from them. This article aims to analyse all available and accessible information from the parameters accessible from the stamping process PLC, material properties, FLD, to the measurement of the operators corrections after detecting part failures. This is information that could be included in the model in order to develop an industrializable “Continuous Twin”.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Soori M, Arezoo B, Dastres R (2023) Internet of things for smart factories in industry 4.0, a review. Internet Things Cyber-Phys Syst 3:192–204

    Article  Google Scholar 

  2. Wójcicki K, Biegańska M, Paliwoda B, Górna J (2022) Internet of things in industry: Research profiling, application, challenges and opportunities-a review. Energies 15(5):1806

    Article  Google Scholar 

  3. Gosh SK, Banerjee A, Aich P, Basu D, Gosh U (2023) Intelligent iot for automotive industry 4.0: Challenges, opportunities and future trends. In: Ghosh U, Chakraborty C, Garg L, Srivastava G (eds) Intelligent Internet of Things for Healthcare and Industry. Internet of Things, 327–352

  4. Babayigit B, Abubaker M (2023) Industrial internet of things: A review of improvements over traditional scada systems for industrial automation. IEEE Syst J 166:1–14

    Article  Google Scholar 

  5. Haight JM, Kecojevic V (2005) Automation vs. human intervention: What is the best fit for the best performance? Process Saf Prog 24(1):45–51

    Article  Google Scholar 

  6. Haight JM, Caringi RG (2007) Automation vs. human intervention: What is the best mix for optimum system performance? a case study. Int J Risk Assess Manag 7(5):708–721

    Article  Google Scholar 

  7. Hansong X, Shanghai JT, Jun W, Qianqian P, Xinping G, Mohsen G (2023) A survey on digital twin for industrial internet of things: Applications, technologies and tools. IEEE Commun Surv Tutor

  8. Muñiz L, Trinidad J, Garcia E, Peinado I, Montes N, Galdos L (2023) On the use of advanced friction models for the simulation of an industrial stamping process including the analysis of material and lubricant fluctuations. Lubricants 11(5):193

    Article  Google Scholar 

  9. Zhou Ch, Zhang F, Wei B, Lin Y, He K, Du R (2021) Digital twin-based stamping system for incremental bending. Int J Adv Manuf Technol 116:389–401

    Article  Google Scholar 

  10. Gan L, Li L, Huang H (2022) Digital twin-driven sheet metal forming: Modeling and application for stamping considering mold wear. J Manuf Sci Eng 144:121003–112100312

    Article  Google Scholar 

  11. Peinado-Asensi I, Montés N, Garcia E Industrializable industrial internet of things (i3ot). a press shop case example. Int J Prod Res

  12. Ng Y-MH, Yu M, Huang Y, Du R (2007) Diagnosis of sheet metal stamping processes based on 3-d thermal energy distribution. IEEE Trans Autom Sci Eng 4(1):22–30. https://doi.org/10.1109/TASE.2006.873227

    Article  Google Scholar 

  13. Souridi P, Chrysafi AP, Athanasopoulos N, Siakavellas NJ (2019) Simple digital image processing applied to thermographic data for the detection of cracks via eddy current thermography. Infrared Phys Technol 98:174–186. https://doi.org/10.1016/j.infrared.2019.03.004

    Article  Google Scholar 

  14. Song J, Kim S, Liu Z, Quang NN, Bien F (2016) A real time nondestructive crack detection system for the automotive stamping process. IEEE Trans Instrum Meas 65(11):2434–2441. https://doi.org/10.1109/TIM.2016.2583218

    Article  Google Scholar 

  15. Chinesta F, Cueto E, Abisset-Chavanne E, Duval JL, Khaldi FE (2020) Virtual, digital and hybrid twins: A new paradigm in data-based engineering and engineered data. Arch Comput Methods Eng 27(1):105–134. https://doi.org/10.1007/s11831-018-9301-4

    Article  MathSciNet  Google Scholar 

  16. Peinado-Asensi I, Montés N, Garcia E (Under review) Industrializable industrial internet of things (i3ot). a press shop case example. Int J Prod Res

  17. Berahmani S, Bilgili C, Erol G, Hol J, Carleer B (2020) The effect of friction and lubrication modelling in stamping simulations of the ford transit hood inner panel: a numerical and experimental study. IOP Conf Ser Mater Sci Eng 967(1):012010. https://doi.org/10.1088/1757-899X/967/1/012010

    Article  Google Scholar 

  18. Xia J, Zhao J, Dou S, Shen X (2022) A novel method for friction coefficient calculation in metal sheet forming of axis-symmetric deep drawing parts. Symmetry 14(2). https://doi.org/10.3390/sym14020414

  19. Muñiz L, Trinidad J, Garcia E, Peinado I, Montes N, Galdos L (2023) On the use of advanced friction models for the simulation of an industrial stamping process including the analysis of material and lubricant fluctuations. Lubricants 11(5). https://doi.org/10.3390/lubricants11050193

  20. ViALUX AutoGrid comsmart. Precise measurement in press shop and determination of forming limits. https://www.vialux.de/en/autogrid-comsmart.html

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics, Physics and Technological Sciences, CEU Cardenal Herrera University, Bartolomé, 55, Alfara del Patriarca, 46115, Valencia, Spain

    Ivan Peinado-Asensi & Nicolás Montés

  2. Department of Engineering and Maintenance, Ford Motor Company, Polígono Industrial Ford S/N, Almussafes, 46440, Valencia, Spain

    Ivan Peinado-Asensi & Eduardo García

Authors
  1. Ivan Peinado-Asensi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nicolás Montés
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eduardo García
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ivan Peinado-Asensi.

Ethics declarations

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

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peinado-Asensi, I., Montés, N. & García, E. Stamping process analysis in an industrial plant and its limitations to obtain an industrializable Continuous Twin. Int J Mater Form 17, 12 (2024). https://doi.org/10.1007/s12289-023-01808-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12289-023-01808-6

Search

Navigation