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Password and SMS Digital Launch AI-Fueled Application for Steel Industry

Steel News - Published on Fri, 17 Jan 2020

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Leading Enterprise Artificial Intelligence provider and SMS digital, the digitalization experts of SMS group, the world’s leading plant engineering group for the metal industry, launched MPV (Mechanical Properties Variability), the first joint AI-driven application for the steel industry following the announcement of their partnership in June 2019. The MPV application utilizes artificial intelligence and machine learning to create a unique 'sense, predict, and recommend' framework that addresses challenges associated with the variability of mechanical properties in steel production. Mechanical properties include things such as yield strength, tensile strength, and elongation. The application senses patterns within mill data to fully understand the drivers of mechanical property variability. It then predicts when increased variability will occur and recommends the optimal input parameters, or PDI (Process Data Inputs) settings, required to optimize target mechanical properties such as yield strength, tensile strength, and elongation.

As a result, the MPV application can help steel manufacturers achieve cost savings three ways: by reducing mechanical properties variability, reducing alloy costs due to better variability control, and minimizing out-of-spec production, which are sold as secondary grades or scrapped. One steel manufacturer using MPV is anticipating savings two million US dollars per year.

In addition to addressing these challenges in mechanical properties variability, the AI and machine learning solutions that and SMS digital have co-developed will also help steel manufacturers optimize product quality, asset availability and production efficiency. Together, and SMS digital combine manufacturing equipment expertise, process modeling experience, and cutting-edge data science to accelerate time to value, enabling customers to quickly realize bottom-line impact.

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Posted By : Rabi Wangkhem on Fri, 17 Jan 2020
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