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12-02-2014 |
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HINDUISM |
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12-02-2014 |
| Teaching | Research | Industry |
|---|---|---|
| 246 | 60 | 0 |
| Date | Title | Journal | DOI | Link |
|---|---|---|---|---|
| 23-06-2025 | Controlled bending of metal sheets using tungsten inert gas arc | Sadhana - Indian Academy of Sciences | DOI | View |
| 20-03-2024 | Analysis of Chips Geometry and Parametric Optimization using Grey Relational Analysis (GRA) in Hot Turning of AISI 202 | EVERGREEN Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy | DOI | View |
| 01-06-2023 | Effect of cutting parameters on surface roughness and MRR during dry hard turning of AISI 202 steel | BCREC Engineering & Science Transaction | DOI | View |
| 10-05-2023 | EFFECT OF CUTTING PARAMETERS IN CNC TURNING OF ALUMINIUM ALLOYS | International Research Journal of Modernization in Engineering Technology and Science | DOI | View |
| 01-04-2023 | ANALYSIS OF SURFACE ROUGHNESS IN CONVENTIONAL LATHE MACHINE BY TURNING USING TAGUCHI METHOD | International Research Journal of Modernization in Engineering Technology and Science | DOI | View |
| 10-04-2022 | Multi-Response Optimization of Surface Roughness and MRR in Turning using Taguchi Grey Relational Analysis (TGRA) | International Research Journal of Multidisciplinary Scope (IRJMS) | DOI | View |
| 23-03-2022 | A critical review on Classification of materials used in 3D printing process | Materials Today: Proceedings | DOI | View |
| 20-12-2019 | ANALYSIS OF IMPACT BEHAVIOUR OF TIG WELDMENT BY USING HYBRID RSM AND CSO | Strojnícky časopis – Journal of MECHANICAL ENGINEERING | DOI | View |
| 31-08-2019 | Effect of Heat Input on the Mechanical and Metallurgical Characteristics of TIG Welded Joints | Journal of Mechanical Engineering | DOI | View |
| 30-08-2019 | Parametric studies on TIG welding of 316L stainless steel by RSM and TLBO | Materials Science Forum - Trans Tech Publications | DOI | View |
| 20-07-2019 | Design Optimization of TIG Welding Process for AISI 316L Stainless Steel | International Journal of Recent Technology and Engineering (IJRTE) | DOI | View |
| 06-12-2018 | DETERMINATION OF TUNGSTEN INERT GAS WELDING INPUT PARAMETERS TO ATTAIN MAXIMUM TENSILE STRENGTH OF 316L AUSTENITIC STAINLESS STEEL | Journal of MECHANICAL ENGINEERING – Strojnícky časopis | DOI | View |
| Date | Title | Conference | DOI | Link |
|---|---|---|---|---|
| 06-06-2025 | Effect of molding sand constituents on casting quality: an RSM-based study | 1st International Conference on Mechanical & Industrial Technologies (IC-MIT 2025) | DOI | View |
| 06-06-2025 | Impact of Process Variables on Roughness of Turned Surfaces using Biodegradable Cutting Fluids | 1st International Conference on Mechanical & Industrial Technologies (IC-MIT 2025) | DOI | View |
| 06-06-2025 | Investigation of mechanical properties of 304L stainless steel welds using TIG, MIG and dual-sided TIG-MIG welding methods. | 1st International Conference on Mechanical & Industrial Technologies (IC-MIT 2025) | DOI | View |
| 10-12-2024 | High cycle fatigue behaviour of TIG welded joint at optimum parametric condition | 2nd International Conference on Nanlinear Dynamics and Applications (ICNDA 2024) | DOI | View |
| 10-12-2024 | Analysis of Surface Texture and Material Removal Rate During AISI 202 Thermal-Assisted Turning Using a Carbide Cutting Tool | 2nd International Conference on Nanlinear Dynamics and Applications (ICNDA 2024) | DOI | View |
| 01-09-2023 | A critical review on Classification of materials used in 3D printing process | International Conference on Thermo-Fluids and System Design | DOI | View |
| 31-08-2020 | Optimization of TIG welding process parameters on tensile properties of 316Lbstainless steel using RSM | 1st International Conference on Mechanical Engineering | DOI | View |
| Date | Title | Book Title | Editor | ISBN | DOI | Link |
|---|---|---|---|---|---|---|
| 02-02-2023 | Metal inert gas cladding simulations and residual stress analysis of mild steel | Recent Advances in Material, Manufacturing, and Machine Learning | Bjorn Schuller, Rajeev Gupta, Rakesh Mote, Abhishek Sharma, J.P. Giri, R.B. Chadge | 9781003450252 | DOI | View |
| 18-10-2019 | Design Optimization of Welding Parameters for Multi-response Optimization in TIG Welding Using RSM-Based Grey Relational Analysis | Advances in Computational Methods in Manufacturing | R. Ganesh Narayanan, Shrikrishna N. Joshi, Uday Shanker Dixit | Online ISBN 978-981-32-9072-3 | DOI | View |
| 10-09-2019 | Hard Turning of AISI202 Stainless Steel-An experimental approach using hybrid RSM and GRA | ISBN: 978-620-0-31073-6 | DOI | View | ||
| 01-08-2019 | Parametric optimization of turning operation using Taguchi method | LAP LAMBERT Academic Publishing | 978-620-0-26417-6 | DOI | View | |
| 24-07-2019 | Determination of Optimal Cutting Parameters in CNC Turning by RSM | LAP LAMBERT Academic Publishing | ISBN: 978-620-0-25457-3 | DOI | View | |
| 10-01-2019 | Parametric Optimization of TIG Welding Process on Mechanical Properties of 316L Stainless Steel Using RSM | Advances in Materials, Mechanical and Industrial Engineering | Prasanta Sahoo, J. Paulo Davim | Online ISBN 978-3-319-96968-8 | DOI | View |
| Committee Name | Start Date | End Date |
|---|---|---|
| BOS(ME) | 11-03-2026 | 03-06-2026 |
| DAC(ME) | 11-03-2026 | 03-06-2026 |
| FDP 2025-26 SMART MANUFACTURING IN INDUSTRIES | 08-09-2025 | 21-11-2025 |
| 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 | 23-06-2025 | Published | India | 453307-001 | 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. | 22-06-2035 |
| ADVANCED GAS SHIELDING SYSTEM FOR IMPROVED WELD QUALITY AND REDUCED SPATTER | 202531014459 | Kolkata | 14-03-2025 | Published | India | 202531014459 | The present invention introduces an advanced gas shielding system that addresses existing limitations in welding technology. By dynamically optimizing gas flow, improving shielding efficiency, and reducing spatter, this system enhances overall weld quality and process efficiency. The invention is expected to significantly impact industrial welding applications, providing superior performance and cost-effectiveness | 18-02-2045 |