Artificial Intelligence in-process defect detection for laser brazing: A Deep Learning Approach
Artificial Intelligence in-process defect detection for laser brazing: A Deep Learning Approach
How can process monitoring and quality assurance for laser joining be improved?
To stay competitive, manufacturing facilities must continue to get smarter and more efficient. Artificial Intelligence technology is proving to be the key factor in driving optimum performance and improved quality in product manufacturing. Combined with high-speed Intelligent Laser Optics with real time integrated process monitoring, the Smart Factory is teaching itself. Accurate Data Driven Decisions can now be made by production equipment itself, minimizing human decision making, and thus improving process control.
Jay Flowers, Laser Welding and Brazing Expert, Scansonic
Presented at: CanWeld Conference 2024
CanWeld 2024
CanWeld 2024
Presentations
Presentations
A Novel metric for Quantifying fluidity in welding wires
Methodology to improve fluidity of welding wires
Advancements in Weld-Brazing Technology for Joining Lightweight Alloys in the Automotive Industry
Innovative Weld-Brazing Techniques for Enhanced Joint Performance in Lightweight Automotive Alloys.
An Introduction to Nuclear Power Construction Codes and Standards
The audience will receive an overview of nuclear power generation technologies, nuclear construction Codes and standards, and a few case studies related to entering the industry.
Code Updates
The audience will be shown recent changes to both CSA W59:24 and ASME BPV IX:23 affecting datasheets and welding procedures.