SAG mill optimisation with MillSlicer VIP

This in-depth Insights webinar recording shows how operators can use MillSlicer VIP to understand mill performance, reduce energy consumption, improve production rate and extend the operational life of mill liners.

Recording

Available

Where

Global

Language

Spanish


Topics covered

  • How to improve throughput and efficiency in SAG/AG mills.
  • Measurement of key parameters such as mill volume, steel charge percentage, toe angle and liner impacts.
  • How to control mill speed and protect liners using real-time ball striking position data.
  • Achieving better mill feed control.
  • Use of historical vibration data to extend the operational life of mill liners.
  • Application of robust, low-maintenance sensors built for challenging mining conditions.

Presenter

Cesar Poma, Molycop Senior Process Engineer


Synopsis

Grinding in concentrator plants is one of the least efficient, yet most critical processes in mining – only 3–5% of energy input is effectively used for mineral size reduction. This inefficiency leads to lost value, higher costs and missed opportunities for optimisation.

Cesar Poma explains how Molycop’s next-generation MillSlicer VIP transforms mill monitoring by showing operators how to understand mill performance, reduce energy consumption and improve production rate. MillSlicer VIP provides robust, real-time data that gives operators visibility into mill performance like never before.

What you’ll learn

  • How MillSlicer VIP works and what makes it unique.
  • Strategies to optimise mill efficiency using live monitoring data.
  • A real-world case study that includes measurable improvements.

Presenter

Cesar Poma, Senior Process Engineer, Molycop
Presenter
Cesar Poma, Senior Process Engineer, Molycop
Cesar has more than 14 years’ experience in the mineral processing and grinding media sector. Throughout his career he has provided specialised technical support in process optimisation projects, focusing on the integration of advanced data science tools applied to grinding and flotation. He has experience in the development and implementation of Machine Learning models and predictive analysis for continuous process improvement. In addition, he has led studies in Discrete Element Modelling (DEM), contributing to the understanding of the behaviour of grinding media and their interaction in the grinding process.
Linkedin

Register

I consent to receiving information about Molycop products, services, events and exclusive content. I can unsubscribe at any time.

Cookie Settings

We use cookies, including third party cookies, for operational purposes, statistical analyses, to personalize your experience, provide you with targeted content tailored to your interests and to analyze the performance of our advertising campaigns.

To find out more about the types of cookies, as well as who sends them on our website, please visit our dedicated guide to managing cookies.

Essential Only Accept All