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Smart tribo-peening process for surface functionalization through digital twin concept

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Abstract

Tribo-peening is a unique derivative process of shot peening to produce functional surface with fully localized or distributed deformation induced by the impact and friction of activated formed and dispersed shot particles. This research paper discusses a methodology to develop a smart tribo-peening of surface functionalization with the aim of controlling tribo-peening operations through integration of sensors and taking advantage of information including data-driven simulation for shot peening process. A digital twin of high-fidelity computational model that simulates the tribo-penning process is hence designed to combine multi-sensory data insights, multiscale surface quality control, and physical processing capabilities. To drive the tribo-peening process, elementary areal surface representative (EASR) concept that involves multi-scale surface characterization is used to describe functionally the areal blasted surface and to create its representative digital twin. Results emphasize the ease with which tuning tribo-peening for surface functionalization may occur using digital twin concept. It shows also clearly that the design of shots operating under controlled impulsive loading is of considerable importance in tribo-peening process.

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Acknowledgements

The authors wish to express their thanks and gratitude to T. BALLARD, R&D intern-engineer, for his collaboration.

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Authors and Affiliations

  1. Saint-Gobain Research Provence, 550 Avenue Alphonse Jauffret BP 224, 84306, Cavaillon Cedex, France

    Benjamin Levy & Anne-Laure Beaudonnet

  2. Arts et Metiers Institute of Technology, MSMP, HESAM Université, F-51006, Châlons-en-Champagne, France

    Benjamin Levy, Mourad El Hadrouz & Sabeur Mezghani

  3. Arts et Metiers Institute of Technology, MSMP, HESAM Université, F-13617, Aix-en-Provence, France

    Mohamed El Mansori

  4. Texas A&M Engineering Experiment Station, College Station, TX, 77843, USA

    Mohamed El Mansori

  5. Safran Aircraft Engines, 1 Rue Maryse Bastié, F-86100, Châtellerault, France

    Julien Cabrero

Authors
  1. Benjamin Levy
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  2. Mohamed El Mansori
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  3. Mourad El Hadrouz
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  4. Sabeur Mezghani
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  5. Anne-Laure Beaudonnet
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  6. Julien Cabrero
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Contributions

Benjamin Levy: methodology, resources, investigation, data curation.

Mohamed El Mansori: supervision, conceptualization, methodology, writing—original draft, writing—review and editing.

Mourad El Hadrouz: conceptualization, methodology, investigation, data curation, writing—original draft, writing—review.

Sabeur Mezghani: conceptualization, methodology, data curation.

Anne-Laure Beaudonnet: conceptualization, methodology.

Julien Cabrero: conceptualization, methodology.

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Correspondence to Mohamed El Mansori.

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The paper properly credits the meaningful contributions of co-authors.

The results are appropriately placed in the context of prior and existing research.

All sources used are properly disclosed (correct citation).

All the authors have been personally and actively involved in substantial work leading to the paper and will take public responsibility for its content.

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The authors declare competing interests.

Additional information

Dedicated to Dr. S. Mezghani who supervised part of this Ph.D. work of B. Levy under the guidance of Prof. M. El Mansori. Dr. S. Mezghani passed away during the redaction of this research paper.

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Levy, B., El Mansori, M., El Hadrouz, M. et al. Smart tribo-peening process for surface functionalization through digital twin concept. Int J Adv Manuf Technol 114, 3695–3717 (2021). https://doi.org/10.1007/s00170-021-07143-x

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