AIST Past Webinars

The Association for Iron & Steel Technology’s (AIST) webinars bring together industry experts to discuss topics and events impacting the steel community. Please join us to hear insight from steel producers, suppliers and academia as they navigate the continually evolving steelmaking process

Metallurgy – Steelmaking & Casting: Impact of Inclusion on Mechanical Properties

Thursday, 29 October 2020
9–10:30 a.m. EDT

In this two-day series, attendees will learn about a variety of metallurgy steelmaking and casting-related topics that were originally scheduled for presentation at AISTech 2020. The first webinar begins with an invited speaker, Prof. Pistorius at Carnegie Mellon University, who will speak on inclusion characterization. Day one continues with “Evaluation of the Iron Content in Non-Metallic Inclusions,” followed by “Peritectic Behavior Detection in the Fe-C-Mn-Al-Si Steel System Using Fiber Optic Temperature Mapping.”

Organized by: AIST’s Metallurgy – Steelmaking and Casting Technology Committee
Sponsored By: ThermoFisher Scientific​


AIST Virtual Town Hall Forum
Steel 2020: The Unprecedented Impact of COVID-19

30 September 2020
10 a.m.–12:30 p.m. EDT

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In case you missed it:  the virtual AIST Town Hall Forum is now available on demand!
Did you hear Steel Dynamics Inc. CEO Mark Millett explain why he’s never been more optimistic about the prospects for his company, and for the overall industry? We hope you didn't miss Big River Steel CEO David Stickler’s prediction on the makeup of the flat-rolled business. Did you listen to Lourenco Goncalves talk about Cleveland-Cliffs' recent blockbuster acquisition — and his one simple idea for improving the industry?
 
Available now on demand through 31 October!

Sponsored By: The Systems Group


Integrated Solution — Combination of DUMA-BANDZINK Jetpro Air Knives and EMG eMASS Stabilization: Results

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8 October 2020
11 a.m.–Noon

In 2016, DUMA-BANDZINK and EMG Automation joined engineering forces to develop a fully integrated unit consisting of a JetPro Air Knife and an eMASS strip stabilization system. Combining the advancements and innovations of both companies’ equipment, the integrated solution has evolved with great success with the development of future generation designs currently being realized. Together nine units have been installed since 2016 with a high operating customer approval rating. Two additional projects currently slated for installation in Germany (2020/2021) are presently being constructed for two high-output automotive exposed grade lines. Optimizing the use of the innovative equipment with cutting-edge coating control analytical programing, the integrated solution continues to deliver uniform coating profile, quality improvements, reduced investment cost, as well as operational/maintenance advantages and operating savings in zinc cost.

Organized by: AIST's Galvanizing Technology Committee


Kent D. Peaslee Memorial Webinar: Understanding Effective Inclusion Control

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8 October 2020
1–2 p.m. EDT

Each year the Ladle & Secondary Refining and Metallurgy — Steelmaking & Casting Technology Committees hold a session at AISTech to honor Dr. Kent D. Peaslee for his support of AIST, including serving as AIST president in 2012–2013, and in recognition of his tireless efforts to educate students at all levels in support of the steel industry, explain concepts to new engineers and promote university relations within the industry. This year we are proud to offer this session as a webinar. This webinar will focus on inclusion evolution as well as effective inclusion modification.

Organized by: AIST’s Metallurgy – Steelmaking and Casting and Ladle & Secondary Refining Technology Committees


Day 3 – Mill Building Design Updates & Crane Automation

1 October 2020
1 p.m.–3 p.m. EDT

This webinar is not available On Demand.

In this three-day series, attendees will hear about a variety of crane-related topics. Day Three will present an overview of the new revisions to Technical Report No. 13 - Guide for the Design and Construction of Mill Buildings as well as case studies of crane automation.

Sponsored By: Morgan Engineering

Organized by: AIST’s Cranes Technology Committee


Day 2 – Crane Safety Technologies

30 September 2020
1 p.m.–3 p.m. EDT

This webinar is not available On Demand.

In this three-day series, attendees will hear about a variety of crane-related topics. Day Two will be focused on safety through technologies, practices and inspections.

Sponsored By: Morgan Engineering

Organized by: AIST’s Cranes Technology Committee


Day 1 – Crane Wheel & Below the Hook Design

29 September 2020
1 p.m.–3 p.m. EDT

This webinar is not available On Demand.

In this three-day series, attendees will hear about a variety of crane-related topics, beginning with this webinar (Day One) on below-the-hook devices and crane wheels.

Sponsored By: Morgan Engineering

Organized by: AIST’s Cranes Technology Committee


Digitalization Applications: Product Inspections With Big Data

24 September 2020
9–11:30 a.m. EST

In this three-part series, attendees will learn about a variety of digitalization applications-related topics that were originally scheduled for presentation at AISTech 2020. The third day will include an overview of condition monitoring, systematic longitudinal cracks classification in slabs, software as a service in the metals industry, and machine learning for process improvement.

Organized by: AIST’s Digitalization Applications Technology Committee


Peculiarities Of Post-Rolling Cooling Of The Hot-Rolled Coil Of Advanced High-Strength Steel

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23 September 2020
Noon.–1 p.m. EDT

Post-rolling cooling of hot-rolled strips of advanced high-strength steel (AHSS) grades is of the utmost importance for producing a material with desirable properties. Such cooling includes two stages: water cooling on the runout table of the hot strip mill and subsequent air cooling of the coil after removing it from the coiler mandrel. The industry practice shows that some AHSS grades do not undergo phase transformation on the runout table. Thus, the final phase composition and properties are formed during air cooling. The current study discusses a method of predicting the phase transformation and mechanical properties of the coiled material.

Organized by: AIST’s Hot Sheet Rolling Technology Committee.


Hot Rolling Coil Technology Development For Pipes Intended For Extraction And Transportation Of Petroleum Products

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22 September 2020
Noon–1 p.m. EDT


A technology has been developed for the production of low-carbon and microalloyed steel for the production of strips in order to manufacture medium-diameter pipes for the extraction and transportation of petroleum products, and it allows stable corrosion properties to be obtained, according to the NACE TM 0284 technique, in a hot-rolled condition from slab with thickness of more than 200 mm, which is very difficult in terms of ensuring the availability of inclusions and heterogeneity in the structure. The obtained results allowed, with minimum costs, to prepare the previously developed integrated computer model (STAN 2000) for calculating the structure and mechanical properties.

Organized by: AIST’s Hot Sheet Rolling Technology Committee.


Digitalization Applications: Process Optimization

22 September 2020
9–11 a.m. EST

In this three-part series, attendees will learn about a variety of digitalization applications-related topics that were originally scheduled for presentation at AISTech 2020. The second webinar will include “Pressure Drop and Flowrate Model of Slidegate Metal Delivery Systems”, “Novel Methodology of Modeling Iron Ore Induration Furnaces” and “Preservation of OpenVMS Control Systems.” 

Organized by: AIST’s Digitalization Applications Technology Committee


Digitalization Applications: Digitized Process Analysis

17 September 2020
9–10:30 a.m. EST


In this three-part series, attendees will learn about a variety of digitalization applications-related topics that were originally scheduled for presentation at AISTech 2020. Part one begins with “Spray Cooling Prediction in Continuous Casting” and “Steel Continuous Annealing Line Simulation.”

Organized by: AIST’s Digitalization Applications Technology Committee


2020 AIST Steelmaker of the Year Award
2020 AIST William T. Hogan, S.J. Memorial Lecture Award

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16 September 2020
10
 a.m. EDT

2020 AIST Steelmaker of the Year Award   

The AIST Steelmaker of the Year Award, established in 1991, recognizes a prominent individual for steel industry leadership. Recipients have demonstrated successful steel industry leadership through continuous improvement, technological innovation, strategic planning and the creation of a strong corporate culture, in addition to having served the greater steel industry and advocated for the various communities it supports.

2020 AIST William T. Hogan, S.J. Memorial Lecture Award

The AIST Hogan Memorial Lecture Award was established in 1990 in memory of the late Rev. William T. Hogan, S.J., director of Fordham University’s Industrial Economics Research Institute and internationally known steel industry economist. This honorary lecturer is selected in recognition of individual outstanding leadership to the iron and steel industry with selected lectures covering trade, economics, steel industry operations, developments or forecasts.

Sponsored by: The Systems Group and HabrisonWalker International


Closing the Six Common Gaps in Hydraulic Troubleshooting, With Component Application and Functionality

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15 September 2020
1–2 p.m. EDT


The practical study of Closing the Six Common Gaps in Hydraulic Troubleshooting focuses on component application and functionality. This webinar will study an axial piston pump venting application used on four primary pumps on an electric arc furnace hydraulic power unit. This will include an introduction to slip-in cartridge valves as one of the several components working together in the application.

Organized by: AIST’s Lubrication & Hydraulics Technology Committee



Digitalization and the Double-Edged Sword: Transparency

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19 August 2020 
10–11 a.m. EDT

The implementation of digitalization systems in the steel industry has a significant potential to improve the overall productivity and stability in steel production. The foundation for these improvement is first to generate a high transparency of production and quality. Data is used to generate key performance indicators and is coupled with human expertise and artificial intelligence to realize intelligent digitalization systems. But this full transparency is not always welcome at all levels of operators and experts. Another topic is potential information overload, which has to be considered. The presentation shows an example of an intelligent digitalization system and deals with the mentioned “cultural” topics.

Sponsored by: iba

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Six Common Gaps in Hydraulic Troubleshooting

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18 August 2020
1–2 p.m. EDT

In this webinar we will continue with our practical study of closing the six common gaps in hydraulic troubleshooting and skills development. Using our downcoiler hydraulics as our machine-specific application, we will continue our process by identifying the ISO symbology in the outboard bearing clamp circuit, and learning a quick-start method to schematic reading this circuit’s events.

Organized by: AIST’s Lubrication & Hydraulics Technology Committees.


Integrated Production Management and Quality in the Age of Industry 4.0

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12 August 2020
10–11 a.m. EDT


This presentation discusses system architecture with the integrated production management system (PMS) as the platform for innovation. Furthermore, the presentation will highlight how an integrated PMS can evolve to enable new use cases with the example of a novel integrated quality management system.

Sponored by: Primetals Technologies ​

Organized by:
AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Steelmaking With Zero Carbon Iron Units

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11 August 2020
10–11 a.m. EDT

Steelmaking would be different if the iron source were direct reduced iron produced with hydrogen: the absence of carbon would affect slag foaming and nitrogen control. With this webinar, the DRITC aims to provide members with information on steelmaking with carbon-free material.

Organized by: AIST’s Direct Reduced Iron and Electric Steelmaking Technology Committees


Machine Learning Applications for Process Control and Optimization in Steelmaking

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5 August 2020
10–11 a.m. EDT


As part of Tenova’s digital transformation, the digital team at Tenova has worked closely with various business units to identify opportunities for application of artificial intelligence (AI) techniques where they could bring value to customers in the steel industry. This paper discusses some of these initiatives applied to the control and optimization in steel production plants:

  • Application of machine learning (ML) to data from a basic oxygen furnace.

  • Application of ML to control cassette penetration and strip tension in a tension leveler machine.

  • Application of convolutional neural networks for automatic classification of scrap material in a steel plant.

  • Application of ML to predict metallization and carbon content in a direct reduction plant.

  • Model to predict NOx emissions in a walking beam furnace.

The paper describes the various machine-learning models developed, the benefits obtained, as well as lessons learned during the process.

Sponsored by: UNILUX

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Integrated Autonomous Crane System

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29 July 2020
10–11 a.m. EDT

This presentation will review the application of fully autonomous cranes at multiple sites of one of the largest global steel producers. Efficient crane operations in the steel industry are critical to achieving production goals, but due to safety concerns, aging infrastructure and control system constraints, they may not be achieving everything they are capable of. But there is innovative new technology now available that enables crane operations to run completely autonomously, providing greater efficiency, accuracy, productivity and quality in the handling of coils and slabs. They can also be integrated into the supply chain within a plant by the use of a warehouse management system, allowing yards to run fully unmanned and completely automated, from steelmaking plant to shipping.

Organized by:  AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Machine-Specific Steel Mill Hydraulics

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22 July 2020 
1–2 p.m. EDT

In the past two decades, hydraulic usage has grown with mill modernization and has become more complicated in its applications and componentry. This presentation is the first in a series of webinars on hydraulic power transmission applications in steel mill manufacturing.

This webinar will focus on understanding the various circuits and component applications in a recently commissioned downcoiler. It will aim to close six common gaps in understanding hydraulic applications — relating the circuits to the machine events, reading the schematic, component application, component function, control logic, and fluid usage and conditioning requirements.

Organized by: AIST’s Lubrication & Hydraulics Technology Committees.


Accelerating Product Chemistry Refinement Using Explainable Machine Learning

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22 July 2020
10–11 a.m. EDT


There is significant hype around artificial intelligence (AI)/machine learning (ML) and its implications for manufacturers. Unfortunately, this hype has not translated into replicable return on investment, impeding widespread integration of this technology into the daily workflows of plant engineers. Many companies are left with failed pilots and digital transformation initiatives that do not deliver results.

This webinar describes how Gerdau has successfully navigated beyond the conceptual phase of digital transformation and achieved significant cost-savings results, leading them to deploy Fero Labs to many additional plants. They use machine learning to not only accelerate product chemistry refinement but also to continuously track realized cost improvements. Gerdau’s plants have been leveraging ML to automatically model production data to better define the relationships between process parameters (e.g., chemistry, rolling mill temperatures, product properties) and mechanical results. The use of explainable ML software has accelerated the prediction of mechanical KPIs, enabled accurate simulations of the effects of process changes, and led to the optimization of alloy content of specific grades.

In this webinar, Gerdau and Fero Labs will walk the audience through the metallurgical design process using ML software and highlight the new workflow of plant engineers and operators. Part of the webinar will be devoted to the description of explainable ML and how it complements the existing process optimization toolkit. The discussion will also cover the steps needed to integrate the new technology into the existing IT infrastructure for near-real-time alloy optimization. The session will conclude with a summary of the year-to-date improvements Gerdau has achieved and the resulting reduction in alloy costs of the new product grades.

Sponsored by: fero labs

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Advice for the Steel Industry’s Young Professionals on Navigating the Current Marketplace

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21 July 2020
1–2 p.m. EDT

We’ve gathered four experienced steel industry professionals that were starting their careers when the recession hit in 2008–2009. Tune in to hear about their experiences, the hard lessons they learned and understand how you can leverage this seemingly unfortunate downtime in your favor. Although we’re all working through an unprecedented time, you may apply the same principles they share to help navigate through this period. With their insight, we hope to ensure the next generation of steel professionals comes out of this experience much stronger than before it started.

Sponsored by: Tokai Carbon

Organized by: AIST’s Young Professionals' Steering Committee


Digitalization Through Smart Robotics, Machine Vision and Advanced Automation

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15 July 2020
10–11 a.m. EDT


This presentation provides an outlook on the currently available technologies that combine smart robotics, machine vision, artificial neural networks and advanced industrial automation to achieve plant digitalization that improves operator safety, traceability, quality and productivity all over the mill.

Orgainized by: Electrical Applications/Sensors Subcommittee and Digitalization Applications


Application of Machine Learning for Defective Coil Prediction

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8 July 2020
10–11 a.m. EDT

Availability of data from connected processes and breakthrough innovations in computing tools create exciting perspectives for artificial intelligence applications in the metals industry. Acciai Speciali Terni, in partnership with Danieli Automation and the University of Perugia, decided to embrace this opportunity combining longstanding process expertise with a modern digital infrastructure and machine-learning algorithms to extract actionable correlations from collected data. The initial step of this digital transformation process was focused on a predictive quality use case, with the target to highlight the correlations between the process parameters of the recently upgraded CC3 caster and surface defects identified on coils after rolling.

Sponsored by: Danieli Taranis

Organized by:
AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees


Applying Machine Learning to Eliminate CGL Strip Weld Failures 

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30 June 2020
10–11 a.m. EDT

Strip weld failures are a major concern to operators of continuous galvanizing lines (CGLs) due to the potential for significant downtime and product quality impact. At Big River Steel in Osceola, Ark., USA, machine learning was applied to nearly eliminate the occurrence of weld failures for established metallurgical grades. This presentation will discuss the process used to apply a probabilistic machine learning algorithm on a small, imperfect training set to determine the optimum setpoints for frontline operator use for welding coils at the CGL. Every step of the data science process will be reviewed, from acquiring, preparing and aggregating data, to incorporating process and metallurgical knowledge into model creation. Lastly, the decision-making process around model deployment options and monitoring will be reviewed.

Sponsored by: OnPoint

Organinzed by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Weld Technologies and Quality Verification

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25 June 2020
11 a.m.–Noon EDT

This webinar will feature an overview of resistance welding process and equipment utilized in coil joining, including basic resistance welding principles, and seam and spot welding techniques and equipment, laser welding for coil joining, alternative configurations of laser welders and key control elements in a weld program. It will include a summary of current technologies that can be used to assess the quality of the welds and introduce a new technology under development that has the potential to provide an alternative for in-line inspection.

Organized by: AIST’s Galvanizing Technology Committees.


How AI Is Increasing Production Quality in Steel Manufacturing

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24 June 2020
10–11 a.m. EDT

This presentation will outline a case study of how a major North American steel producer is using AI-powered industrial analytics to improve yield reduce costs and production delays and improve reliability. The discussion will look at the journey the manufacturer took from transforming its manual quality control processes by implementing AI industrial analytics. AI-powered industrial analytics is helping the producer to identify and control the parameters that impact quality and help the operations teams to control their production processes by implementing near-real-time adjustments required to improve production and batch consistency. As a result of using industrial analytics to gain real-time visibility into production quality and control the quality control processes, the company improved production while reducing production costs and opening new markets by producing higher-grade products so much so that the manufacturer now applies AI to its day-to-day operations across their steelmaking, hot strip mill and cold mill areas.

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees


Technology-Driven Industrial Troubleshooting

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23 June 2020
1–2 p.m. EDT

In the realm of Industrial 4.0, there are many emerging simple and easy-to-apply digital tools that will change our process of troubleshooting the basics of mechanical, electrical, fluid power and controls maintenance issues in steelmaking. One such emerging tool is iMachine. Mills that have integrated this process for troubleshooting have not only documented vast improvements in efficiencies and safety but also a steep curve in skills development within the specific applied discipline.

Organized by: AIST’s Lubrication & Hydraulics Technology Committees


Production, Storage and Safe Handling of Hydrogen

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23 June 2020
10–11:30 a.m. EDT

Hydrogen has been identified by some organizations as a key part in the decarbonization of ironmaking. It shows great potential in this role, but also presents substantial challenges. With this webinar, the DRITC hopes to educate members on the current state of hydrogen production.

Organized by: AIST’s Direct Reduced Iron Technology Committees


Planning For Success — Project Baseline Scope and Budget Development and Management

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18 June 2020
1–2 p.m. EDT

This webinar will help attendees identify project development phases and purpose and review project constraints and the relationship between scope, cost, schedule and quality. Discussion will focus on both the planning and implementation phases, including developing and managing scope, schedule, and budget vs. baseline. In addition, methods for incorporating contingency and risk into the project budget will be discussed along with the use of a trend and change management system to control the above factors in the execution phase.

Orgainized by: AIST’s Project & Construction Management Technology Committees.


You Asked For It: Your Questions Answered About SBQ Bar Cold Finishing 

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17 June 2020
Noon–1 p.m. EDT

Your Questions Answered About SBQ Bar Cold Finishing With an Overview of Black Bar and Bright Bar Processing Including Key Considerations for Safety, Quality and Productivity.

Sponsored by: Fabris

Organized by: AIST’s Long Products Technology Committees.


Solving Product Quality and Asset Reliability Challenges Through the Application of AI

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17 June 2020
10–11 a.m. EDT

Modern steel mills are using artificial intelligence (AI) and machine learning (ML) in a variety of ways. This presentation will discuss the application of AI/ML in two specific areas of product quality and asset reliability, along with a deep dive into specific AI methods and results. A general AI framework for the industrial domain called deep probabilistic decision machines will also be discussed. For product quality, the scope will cover both product properties management (such as mechanical properties variability) and recipe management (such as scrap mix optimization). For asset reliability, the scope will cover both dynamic data-driven forensics and failure prediction.

Sponsored by: SMS Group in partnership with Noodle.ai 

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.


Making Sense of Maintenance 4.0

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11 June 2020
12 p.m.

Presentation 1

Intro to Industry 4.0, Eric Almquist, Star Tool & Die Works Inc.

Industry, including steel, has begun what seems as a fourth age of the industrial revolution with the marriage of digital (computerized) technologies and industrial processes. The term “Industry 4.0” neatly summarizes this fourth period of the Industrial Revolution and thus has become a convenient buzzword identifier. Industry 4.0 is an age built on various digital technologies and the enormous number of ways digital technology is already impacting traditional industry, including steel. When historically distinct, but enormous fields, combine – like heavy-manufacturing and digital technologies – the interactions can create confusion. In fewer than 10 minutes this presentation will alleviate confusion about the foundations of Industry 4.0 using plain language, free of techno-babble, and transform buzzwords into real, powerfully useful “tools” we can choose to use as they transforming our world and workplace.

Presentation 2

Application of IIoT in Steel, Greg Savernik, Quaker Houghton

IIoT application is real! System integration into a common platform is a difficult but satisfying task. Focused tasking with all aspects of the steel industry can integrate with the concept of Industrial Internet of Things (IIoT) – taking current process devices and future devices that will be used for this task and integrating it to a common, usable platform. Simply put, disparate information tied together can help to drive future decision-making for our industry.  Two real IIoT applications will be reviewed that cover retrofitting old technology and new technology design.

Presentation 3

Using Machine Learning to Improve Condition Monitoring and Vibration Analysis, Jonathan Davis, ITR

Sophisticated condition monitoring and vibration analysis is one of the cornerstones of any digitalization and Maintenance 4.0 strategy. On-line (real time) and off-line (route-based) monitoring and analysis of machine feature data are state of the art and have evolved dramatically over the past five decades. Now that the maintenance and reliability industry has transitioned from 3.0 to 4.0, previously unavailable methods and capabilities are now possible and being realized. The challenge today is finding the best levels and methods of human-machine integration. Industrial Technology Research (ITR) is one of the world’s most advanced predictive maintenance (PdM) companies. This session will review how PdM now leverages machine learning for both off-line and on-line asset condition monitoring and vibration analysis while still integrating the human expert. Discussion will also focus on two recent steel industry “PdM 4.0” case studies and where we are headed in the coming years.

Organized by: AIST’s Maintenance & Reliability Technology Committee


Ironmaking With Alternative Reductants

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9 June 2020
10–11 a.m.​

There has been an increased focus on the decarbonization of the steel industry worldwide. Several technologies show potential to be vital contributors in the effort to reduce CO2 emissions. With this webinar, the DRITC hopes to educate our members on these technologies.

Oraganized by: AIST’s Direct Reduced Iron Technology Committee with support from ABM-AIST Combi Membership


Merging Process Knowledge & Artificial Intelligence to Find Hidden Value, Part 2

20 May 2020
10–11 a.m.

Steelmaking in the age of digitalization and in the midst of uncertainty calls for new approaches. To extract the maximum financial value from digitalization, steel manufacturers must embrace the reality that success requires the convergence of deep technological process knowledge of steelmaking, artificial intelligence/machine learning, and the requisite data systems. Without all three pillars solidly in place, any digital transformation initiatives will continue to just be experiments. When implemented and maintained correctly, the “learning steel mill” holds massive promise to unlock breakthrough gains in product quality, asset health and production efficiency to move the entire steel industry forward.

Sponsored by: SMS Group in partnership with Noodle.ai 

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.  


Merging Process Knowledge & Artificial Intelligence to Find Hidden Value, Part 1

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19 May 2020
10–11 a.m.

Steelmaking in the age of digitalization and in the midst of uncertainty calls for new approaches. To extract the maximum financial value from digitalization, steel manufacturers must embrace the reality that success requires the convergence of deep technological process knowledge of steelmaking, artificial intelligence/machine learning, and the requisite data systems. Without all three pillars solidly in place, any digital transformation initiatives will continue to just be experiments. When implemented and maintained correctly, the “learning steel mill” holds massive promise to unlock breakthrough gains in product quality, asset health and production efficiency to move the entire steel industry forward.

Sponsored by: SMS Group in partnership with Noodle.ai 

Organized by: AIST’s Electrical Applications/Sensors Subcommittee and Digitalization Applications Technology Committees.  


Steel Internships During COVID-19

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5 May 2020
3-4 p.m. EDT

In the past, the steel industry has made the mistake of cutting internships and recruiting budgets during economic downturns. Skipping just one year of recruiting usually requires three more years to rebuild the confidence in our industry as a viable career path for young people. Perhaps the COVID-19 crisis can actually help break this cycle, as companies become more creative to maintain engagement and overcome safety/distancing challenges. Panelists from several steel companies will present their ideas for alternative and virtual programming.

Sponsored by the AIST Foundation


Steel Mill Safety During COVID-19

30 April 2020
2–3:15 p.m. EDT

Join us to find out how steel mills have been adapting daily operations during the COVID-19 outbreak to maintain safe practices recommended by the Centers for Disease Control. Learn about new policies and procedures you can adopt at your company to keep your employees, contractors and their families safe during this time.

Organized by the AIST Safety & Health Technology Committee


Basic Oxygen Steelmaking (BOF) Operations and Management During COVID-19

29 April 2020
9–10:15 a.m. EDT

Panelists representing the international BOF/LD community will present perspectives on how their companies and regions are managing operations and personnel during the COVID-19 environment.  Each panelist will note the impact on day-to-day operations at the facility as well as steps being taken to manage plant personnel during this time.

Organized by the AIST Oxygen Steelmaking Technology Committee