Birendra Kumar Barik

Employment

• National Cadet Corps Associate NCC Officer
  2017 - Present
• Veer Surendra Sai University of Technology, Odisha, Burla Assistant Professor
  2016 - Present
• Rajiv Gandhi University of Knowledge Technologies, Nuzvid Lecturer
  2014 - 2015

Education

• Indian Institute of Technology Bombay Research Scholar
  2022 - Present
• National Institute of Technology Tiruchirappalli M.Tech.
  2012 - 2014
• Veer Surendra Sai University of Technology, Burla, Odisha B.Tech.
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Probing smartphone-based photogrammetry for part profiling in wire arc directed energy deposition
  Welding in the World 2026 DOI: 10.1007/s40194-025-02273-2
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• CAD-Simulate-Print: a novel paradigm for additive manufacturing
  Welding in the World 2026 DOI: 10.1007/s40194-026-02347-9
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• Rapid estimation of temperature field and bead profile for wire arc directed energy deposition using an analytical heat conduction model
  Science and Technology of Welding and Joining 2026 DOI: 10.1177/13621718251398070
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• Seamless heat transfer analysis for part scale laser powder bed fusion by harnessing the computer-aided design model with an analytical thermal model
  Science and Technology of Welding and Joining 2025 DOI: 10.1177/13621718251320202
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• Evaluating porosity formation in gas metal arc directed energy deposition of an aluminium alloy
  Science and Technology of Welding and Joining 2025 DOI: 10.1177/13621718241298851
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• Probing dimensional consistency during multi-track multi-layer gas metal arc directed energy deposition of aluminium alloys
  Welding in the World 2024 DOI: 10.1007/s40194-024-01685-w
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• Manufacturing Paradigms and Evolution
  Lecture Notes in Mechanical Engineering 2021 DOI: 10.1007/978-981-33-4795-3_64
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• Studies on metallurgical and corrosion characteristics of dissimilar GTAW welding of alloy 800 and SS316L using multicomponent activated flux
  Materials Today: Proceedings 2021 DOI: 10.1016/j.matpr.2020.12.607
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• Experimental and numerical analysis of Al-Cu sheets using hydraulic bulging process
  Sustainable Engineering Products and Manufacturing Technologies 2019 DOI: 10.1016/B978-0-12-816564-5.00003-7
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• Artificial neural network modeling studies to predict the friction welding process parameters of Incoloy 800H joints
  Engineering Science and Technology, an International Journal 2015 DOI: 10.1016/j.jestch.2015.02.001
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