AIST Webinars Past Events

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

Weld Technologies and Quality Verification

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

24 June 2020
10–11 a.m. EDT

►View Webinar

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

23 June 2020
1–2 p.m. EDT

►View Webinar

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

23 June 2020
10–11:30 a.m. EDT

►View Webinar

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

►View Webinar

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 

►View Webinar

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

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

►View Webinar

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

►View Webinar

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

►View Webinar

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

►View Webinar

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