Episode 22: Cement clinker phases predicted with ML model

About this episode

Laura Leay interviews Anoop Krishnan about a machine learning model predicting cement clinker phases.

In this podcast episode, MRS Bulletin’s Laura Leay interviews Anoop Krishnan from the Indian Institute of Technology in New Delhi, India, about a machine learning model developed after a two-year period of collecting data from the cement industry, supported by the Cement and Concrete Research Network. Krishnan’s work resulted in a model that predicts the alite, belite, and ferrite content in the clinker produced by a given cement plant. These phases control cement quality and give strength to...

People in this episode

Host: Laura Leay

Guest: Anoop Krishnan

Topics covered

• machine learning
• cement industry
• clinker phases
• cement quality
• data collection

Keywords

• cement
• machine learning
• clinker
• alite
• belite
• ferrite
• cement quality
• data collection

Mentioned in this episode

Organizations: Indian Institute of Technology, Cement and Concrete Research Network

Places: New Delhi, India

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