In this podcast, NACE members Joe Mazzella and Tom Hayden of Engineering Director, Inc. (Evanston, Illinois, USA) join the MP Interview Series to discuss the work they are doing to combat corrosion through the use of machine learning. They provide a brief overview of their project that involves estimating corrosion growth rates in underground pipelines; details about the computer vision app they are creating; and an update on NACE task group TG 589.
More information on their work is available in the August 2020 issue of Materials Performance (MP).
Using Differential Reflectometry Mapping for Buried Pipelines
Benefits of a Super Austenitic Stainless Steel Alloy
How AMPP Global Operations Is Handling the Merger
Using Smart, Sustainable Inhibitors to Stop Corrosion
CORROSION 2021 Recap and Future Industry Events
New Advancements in Remote Cathodic Protection Monitoring
Corrosion Innovation Awards Profile: NiobiCon Underwater Electrical Connector
CORROSION journal: Meet Narasi Sridhar
Nano Non-Skid Coating Solution for Offshore Environments
Improving Manufacturing and Fuel Efficiencies with Next-Generation Pretreatment
U.S. Executive Order to Review Supply Chains
Previewing the CORROSION 2021 Virtual Conference & Expo
How Drones Are Lifting Corrosion, Coating Inspections
CORROSION journal: Meet Winston Revie
Pipeline Integrity Pitfalls and How to Avoid Them
AMPP Technical Exchange on Ship Biofouling—A Success Story
Case Study: Thermal Spray Aluminum at a Major LNG Complex
Protecting Pipelines from the Effects of Lightning Strikes
Current Trends in Magnesium Research
2021 Outlook for Cathodic Protection and Beyond (with Farwest Corrosion)
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