Cold Rolling: Surface Quality in Cold Rolling Applications – Prevention
Wednesday, 15 December 2021 • 10 a.m.–11:30 a.m. EST
The Four A’s: Acquire, Archive, Analyze, & Act
David Kober, iba America
This presentation outlines a method of leveraging an open ecosystem for data acquisition archival, analysis and action by means of tools operating on an edge platform. By leveraging a holistic approach to data collection, consistency is provided to all stakeholders interested in transforming immense amount of data into actionable information. This proposed architecture provides unique advantages as it relates to data preprocessing and storage, to include:
Real-time edge computing to continuously monitor relevant process signals.
Online streaming of aggregated data into IT cloud infrastructures or databases.
Process-synchronous (per slab or per coil) KPI computation.
Condition-based and/or auto-adaptive post-processing.
In case of any abnormal behavior, a drill-down to the high-resolution data stored on the edge device or in data lakes can be made available. This provides full transparency into any anomalies whether by means of manual analysis or advanced interrogation leveraging artificial intelligence techniques.
Grading and Auto Dispositioning, Greg Gutmann, ISRA Vision and Breck Lewis, Ametek
In this segment, we will investigate available software that leverages the knowledge base of the produced product from chemistry to cold rolling. These software tools provide a user interface “view” into the complete process, analyzing the relationship from casting defects to final product, allowing for either process improvements, material re-work or coil grading. By simply evaluating the available/collected data from the current production step (surface quality, thickness, flatness, width, reduction, temperature, etc.) you can make the decision to release the coil against the order, re-assign it another order, downgrade it or re-work it (edge or head/tail crop) to maximize the yield and value of this produced coil. With the proper rule set and some monitored experience, you can reach a point of trusting these software solutions to auto disposition the coils produced.
Presentation Title: TBD, Ben Zimmerman, SMS group
Ben Zimmerman Bio: Ben Zimmerman graduated in 2016 from the University of Pittsburgh with a degree in industrial engineering. Before joining SMS group, he worked as a technical liaison between business representatives and software engineers, gaining experience as a functional business analyst implementing several manufacturing software applications in the areas of engineering, sales and marketing, and product configuration. He now serves as a sales engineer at SMS group in the digital group, working closely with data-driven and technology-focused customers. He has experience aligning customer needs to digital solutions that focus on improving the customer experience in the areas of quality, asset health, production planning, and energy. Ultimately, his role is to help customers identify their digital needs while creating digital road maps with the goal of helping customers achieve a learning steel plant.
Moderator: Brad Morgan, Nucor Steel–Arkansas
David Kober Bio: David Kober is a sales engineering manager for iba America with a demonstrated history of providing industrial data acquisition and analytics solutions to facilities across various industry sectors. As a graduate of Auburn University, his educational background in mechanical engineering is accompanied by his experience in industrial control systems and robotics programming. From spending time working directly with a diverse range of mechatronic systems, he understands the operational importance in leveraging the latest proven strategies in the field of digitalization technologies in order to create a seamless integration between information and insights. He currently serves on the Young Professionals Steering Committee for AIST
Greg Gutmann Bio: Greg Gutmann has a B.S. degree in computer science from the University of Pittsburgh. He has been engaged in the metals industry in multiple capacities since 1984. Primarily in automation and sales, he has worked for a number of companies, including Custom Industrial Controls, General Electric, MindMatters Technologies, Wonderware and Danieli, and is currently employed by ISRA Vision Parsytec.
Organized by: AIST's Cold Sheet Rolling Technology Committee