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SRI DEEPAK KUMAR

ASSISTANT PROFESSOR

About

12-09-2017

ME

193633

B+

HINDUISM

1-3570143579

12-09-2017

Qualifications

Educational Qualifications
  • M. Tech. in production Engineering
  • NIT Patna - 2017
  • B. Tech. in Mechanical Engineering
  • NIT Durgapur - 2014
  • Senior School Certificate Exam
  • Kendriya Vidyalaya No. 2, Gaya - 2008
  • Secondary School Exam
  • Bal Vidya Niketan Jehanabad - 2006
Teaching and R & D experience
Teaching Research Industry
98 60 0

Promotions

Publications

Journal
Date Title Journal DOI Link
23-03-2022 A critical review on Classification of materials used in 3D printing process Materials Today Proceedings DOI View
Conference
Date Title Conference DOI Link
25-05-2025 Impact of Process Variables on Roughness of Turned Surfaces using Biodegradable Cutting Fluids INTERNATIONAL CONFERENCE ON MECHANICAL AND INDUSTRIAL TECHNOLOGIES 2025 DOI View

Participations

Committee Name Start Date End Date
DAC(ME) 11-03-2026 03-06-2026
FDP-MANUFACTURING&THERO.FLUID (2025-26/02) 19-11-2025 14-03-2026
FDP 2025-26 SMART MANUFACTURING IN INDUSTRIES 08-09-2025 21-11-2025

Patents

Title Patent Number Patent Office Date Status Country Application No. Abstract Expiration Date
AI-POWERED PARAMETER OPTIMIZING HYBRID LASER AND ARC WELDING APPARATUS 453307-001 Kolkata 28-03-2025 Under Process(awaiting for Technical Examination) India 206676 The AI-powered parameter optimizing Hybrid laser and arc welding apparatus integrates laser and arc welding technologies to enhance precision, efficiency, and adaptability across industrial applications. The apparatus is a compact, intelligent control unit equipped with an advanced machine learning framework that dynamically adjusts critical welding parameters, including power, speed, and material response. By leveraging real-time data acquisition, predictive modeling, and adaptive learning algorithms, the system ensures consistent weld quality, defect minimization, and process stability. The AI-powered optimization enables automatic compensation for variations in material thickness and environmental conditions, significantly improving joint strength, operational efficiency, and overall productivity. With applications spanning automotive manufacturing, aerospace engineering, and heavy industries, this technology represents a significant advancement in welding automation, reducing reliance on manual intervention while enhancing reliability, adaptability, and manufacturing throughput. 28-03-2029
ADVANCED GAS SHIELDING SYSTEM FOR IMPROVED WELD QUALITY AND REDUCED SPATTER 202531014459 Kolkata 19-02-2025 Published India 202531014459 The present invention provides an advanced gas shielding system that incorporates intelligent control mechanisms to regulate gas flow and distribution in real time. The system includes an adaptive gas nozzle, a flow control unit, and a feedback mechanism to dynamically adjust shielding parameters based on welding conditions. The proposed system significantly improves gas efficiency, enhances arc stability, reduces spatter, and ensures high-quality welds by maintaining optimal shielding throughout the welding process. The system is applicable to various welding techniques, including Gas Metal Arc Welding (GMAW), Gas Tungsten Arc Welding (GTAW), and Plasma Arc Welding (PAW). 19-02-2029

Projects

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