Tata Metaliks

Feb

2023

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IIT Kharagpur handed over Industry 4.0 solution to GRSE

Collaborations, Institute, Research & InnovationAI, Augmented and Virtual Reality, Centre of Excellence in Advanced Manufacturing Technology, CNC training, Cobots, CoEAMT, Garden Reach Shipbuilders and Engineers Limited, GRSE, Industry 4.0, iWeld, LM Windpower, MHI, Ministry of Defence, Ministry of Heavy Industries, MSME, RDCIS, Research & Development Centre for Iron & Steel, SAIL, Steel Authority of India Limited, Tata Metaliks, Tata Steel, Wind Turbine Blade Manufacturing

The Centre of Excellence in Advanced Manufacturing Technology (CoEAMT) of IIT Kharagpur has handed over its Industry 4.0 solution to Garden Reach Shipbuilders and Engineers Limited (GRSE), under Ministry of Defence. The Centre has developed a software for GRSE, named iWeld wherein AI will detect the defective portion from weld radiography images and classify the type of defect. Tested over large number of samples at GRSE, it gives a very high accuracy of 93.18%. The software has been developed by Mr. Avishek Mukherjee, Doctoral Scholar of IIT Kharagpur under the supervision of Prof. Surjya K Pal, Chairperson of the CoEAMT and…

Dec

2020

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By Shreyoshi Ghosh

New Algorithm to Augment Industrial Profitability

In-DepthAdvanced Manufacturing Technologies, Algorithm, Centre of Excellence for Advanced Manufacturing Technologies, Cost, Downtime, Industrial and Systems Engineering, industrial operations, Industry 4.0, Manpower, production, Productivity, Tata, Tata Metaliks

IIT Kharagpur - Tata Metaliks Jointly Develop Industry 4.0 Algorithm to Change Profitability Scenario of India’s Manufacturing Sector Researchers at the Centre of Excellence for Advanced Manufacturing Technologies, IIT Kharagpur have developed a predictive maintenance algorithm to improve the profitability of production jobs through substantial savings in Productivity, Downtime, Cost and Manpower. The data-driven predictive maintenance module has been successfully tested by Tata Metaliks for user-level acceptance. The algorithm has been developed at the Centre of Excellence for Advanced Manufacturing Technologies, by a team led by Prof Akhilesh Kumar, Associate Professor, Dept. of Industrial Systems Engineering. Deployed on a gearbox…