Using ANN modeling to predict the melt flow index in real time
Controlling polymer quality during manufacturing is a significant challenge due to the cost, maintenance and reliability of online measurements of final product quality.
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The Authors
Chakrabarti, N. C. - Reliance Industries Ltd., Mumbai, India
N. C. Chakrabarti is Vice President at Reliance Industries Ltd. and leads the company’s Smart Manufacturing Technology team. He has more than 27 yr of experience in different roles in multiple domains and geographies. Mr. Chakrabarti has worked in different profiles in continuous manufacturing operations in downstream oil and gas, chemicals, process optimization, automation, advanced process control (APC), MES and information technology services. He graduated with a chemical engineering degree from the University of Calcutta, and earned a post-graduate degree from the Indian Institute of Technology, Kharagpur, India.
R. Sinha - Reliance Industries Ltd., Mumbai, India
Roushan Sinha is a Manager of Smart Manufacturing Technology with Reliance Industries Ltd. He has nearly 5 yr of professional experience in the petrochemical and refining industries and began his career as a maintenance engineer at Reliance Industries in 2016. Mr. Sinha later switched to a data science role, with a primary focus on solving manufacturing problems and improving processes by using machine learning and artificial intelligence. He graduated with a mechanical engineering degree from the Indian Institute of Technology, Guwahati, India.
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