Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy

• Akshansh Mishra,

  Roles Conceptualization, Data curation, Investigation, Methodology, Resources, Validation, Visualization

  Affiliation School of Industrial and Information Engineering, Politecnico Di Milano, Milan, Italy

  https://orcid.org/0000-0003-4939-359X

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• Vijaykumar Jatt,

  Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Mechanical Engineering, School of Engineering and Applied Sciences, Bennett University, Noida, Uttar Pradesh, India

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• Eyob Messele Sefene,

  Roles Formal analysis, Project administration, Resources, Validation, Visualization, Writing – original draft

  Affiliation Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

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• Sachin Salunkhe ,

  Roles Data curation, Investigation, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: sachinsalunkhe@gazi.edu.tr

  Affiliations Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India, Department of Mechanical Engineering, Gazi University Faculty of Engineering, Maltepe, Ankara, Turkey

  https://orcid.org/0000-0001-6542-2050

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• Robert Cep,

  Roles Formal analysis, Funding acquisition, Project administration, Resources, Visualization, Writing – review & editing

  Affiliation Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic

  https://orcid.org/0000-0001-9610-4215

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• Emad Abouel Nasr

  Roles Funding acquisition, Methodology, Project administration, Resources, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

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