Featured Image

AMT Technology Forum Speaker Spotlight: Matteo Dariol, Lead Innovation Strategist, Bosch Rexroth

In his presentation “AI-powered Process and Quality Monitoring for Automotive Welding,” Matteo Dariol will discuss the value of data process monitoring and visualization in predicting weld quality and the important role of the cloud and edge computing in..
by AMT
Feb 09, 2021

In his presentation “AI-powered Process and Quality Monitoring for Automotive Welding,” Matteo Dariol will discuss the value of data process monitoring and visualization in predicting weld quality and the important role of the cloud and edge computing in enabling the solution. His team has been working on this challenge for several years for a major OEM and is currently piloting its weld spot analytics (WSA) solution for the OEM as well as several tier-one suppliers.

“There is a wealth of data available from industrial operations today that can be harnessed to improve operations, increase product quality, and reduce waste,” said Dariol. “That said, certain domains are more complex than others in terms of boiling down the relevant data, and we tend to focus on these types of challenges.”

A typical car has 4,000-8,000 welded spots performed by hundreds of robots in its assembly by OEMs and subassembly by tier-one manufacturers. A key challenge affecting welding operations is nugget size prediction – assessing the quality of thousands of weld nuggets to confirm they meet minimum size standards. The size of the nugget drives the quality of the weld, and if they do not meet standards, the weld must be rejected. Destructive tests have been the only reliable method to determine whether a spot was welded according to quality specifications – a costly solution – and there have been no tools to help welding engineers determine which welds or automotive parts should be tested.

“Welding operations has traditionally faced a number of challenges. Controllers have provided data only at a cell level, making it difficult to cross-correlate data from other cells to determine the quality trend of a part as it moves along the line,” said Dariol. “WSA software is accessible to all welding controllers on the shop floor and relevant information can be quickly and easily obtained.”

WSA is helping welding engineers make faster, more accurate decisions about weld quality. By leveraging the data available in the welding controller – voltage, current, and other data – nugget size can be predicted and compared to AI-based models to enable engineers to make rapid, accurate quality assessments of nugget size.

Matteo will also discuss the role of both the cloud and edge computing in enabling the solution, the importance of the edge to the cloud, the importance of the cloud to AI, and why a scalable and flexible system like the cloud is necessary to collect and analyze the large quantities of data necessary for creating complex machine learning models. Edge computing is secure, happens on the shop floor, and allows data computations to happen in real time. It limits the amount of data that needs to be sent to the cloud, saving time and money.

Lastly, Matteo will discuss the evolution of software from cumbersome legacy solutions to those with an intuitive look and feel that do not require a user manual to use.

To add this presentation to your MySpark planner or read more about Matteo, visit https://directory.imts.com/8_0/sessions/session-details.cfm?scheduleid=665.

To see the full agenda for the AMT Technology Forum, visit https://www.imts.com/spark/ExclusiveConferences/AMTTechForum.html.

Recent technology News
FusionGPT. More warehouse humanoids. Aerospace coalition ensures integrity. Digital twins for... marketing? 3D printed speaker enclosure.
ChemGPT. Terminator T-1000 IRL. 3D printed logic modules. A new occupational category. Manual versus automatic CNC.
From the busy show floor full of next-gen technology to the packed speaker sessions, a congenial and confident vibe flowed through the Northeast’s largest manufacturing event.
Willy Wonka’s factory of the future. NAM’s fun facts about the manufacturing industry. The fastest running robot. Boeing’s new AM facility. Dassault Systèmes identifies key skills for sustainable innovation in manufacturing.
Artificial intelligence (AI) can be found all around us, even in places you weren’t expecting. AMT Board Chairman looks at four places AI is in plain sight and encourages us to think about how AI could work in any shop or manufacturing facility.
Similar News
By AMT | Jan 25, 2021

For any company thinking of dipping their toes into additive manufacturing (AM) to see if it makes sense for their business, this IMTS spark presentation is not to be missed. In “The Journey Toward AM for Serial Production of Polymer Parts: Opportunities..

2 min
By AMT | Jan 11, 2021

In addition to being an engine of economic power and a source of innovation that benefits the entire nation, manufacturing is critical to national security. Innovative new technologies and processes in manufacturing increase productivity, enable new...

3 min
By Pat McGibbon | Dec 15, 2020

In the last days of October, AMT’s annual MTForecast event was delivered virtually for the first time in its 48-year history. The format may have been different, but the value was as great as ever, even if the news was bittersweet...

3 min