LabCompass

Debapriya Pinaki Mohanty

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2016
Advanced Surface Polishing TechniquesMetal and Thin Film MechanicsAdvanced machining processes and optimizationMetal Forming Simulation TechniquesAdditive Manufacturing and 3D Printing Technologies

Publications

20

Citations

162

Est. group size

~3

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Debapriya Pinaki Mohanty works in manufacturing engineering, studying how metals and other materials behave when they are cut, formed, or shaped, and how heat and friction affect these processes. Recent work extends into additive manufacturing (3D printing) of metal-fiber reinforced plastic composites, as well as exploring sustainable materials like palm leaves for foodware manufacturing. The overall focus is on understanding and improving industrial processes for shaping and joining materials.

Metal cutting and machiningDeformation processing and heat generationAdditive manufacturing of compositesSheet metal and thin material formingSustainable/alternative materials for manufacturing

Publication output has been modest but fairly steady over the last decade, with a small increase in activity around 2021-2022 followed by a continued low but consistent output through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
2017: 2 publications1718192020: 1 publication202021: 4 publications4212022: 4 publications4222023: 2 publications232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • International Journal of Machine Tools and Manufacture×2
  • CIRP Annals×2
  • JOM×2
  • MRS Communications×2
  • International Journal of Plasticity×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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