Sixth aiCAMstir Meeting, 20 October 2022

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The Sixth aiCAMstir Meeting was held online on 20 October 2022 with 19 attendees.

Link to the video

Recording of the Sixth aiCAMstir Meeting (Total: 1:45 h, the first presentation starts at 0:10:16 h)

Agenda

The agenda of the 90 min long on-line meeting was as follows:

  • Welcome and introduction (2-3 sentences each)
  • Kevin Colligan (CTC, Concurrent Technologies Corporation): Analysis of Torque Data from Friction Stir Welds in Aluminum. (20 min + 5 min questions)
  • Stephan Kallee (AluStir): Using Artificial Intelligence in the Computer Aided Manufacturing of Friction Stir Welds. (20 min + 5 min questions)
  • Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes. (20 min + 5 min questions)
  • Mike Lewis (FTS Engineering Answers Ltd): Organisational Comments and Date of Next Meeting (26 January 2023)

List of Attendees

(alphabetically sorted by the MS-Teams name)

Attendee Company Status Signed-up on
Achilles Vairis University of West Attica, Greece Guest
Azman Ismail University of Kuala Lumpur, Malaysia Guest
Breno Boretti Galizoni Sonaca, Brazil Guest
Christian Vogrinec Saman Ventures, Austria Guest
Dominik Walz MPA Stuttgart, Germany Guest
Francois Nadeau NRC Canada Guest
Gilles Silvestre Stirweld, France Industrial Company 2022-10-04
John Hunt TWB, USA Guest
Kevin Colligan CTC, USA Guest
Lyne St-Georges Université du Québec à Chicoutimi, Canada Guest
Mario Leitner Stirline GmbH, Austria Industrial Company 2022-03-02
Max Hoßfeld fsw.expert GmbH, Germany Guest
Mike Lewis FTS Engineering Answers Ltd, UK Consultancy service provider 2021-01-14
Raheem Al-Sabur Basra University, Iraq Guest
Šedek Jakub VZLU, Czech Aerospace Research Centre, Czech Republic Guest
Stephan Kallee AluStir, Germany Consultancy service provider 2021-01-14
Soumyabrata Ba… University of Ulsan, South Korea Guest
Souvik Karmakar IIEST Shibpur, India Guest
Tim Haynie Bond Technologies Inc., USA Industrial Company 2022-02-09

Presentations

Kevin Colligan (CTC, Concurrent Technologies Corporation): Analysis of Torque Data from Friction Stir Welds in Aluminum (0:10:16)

Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Kevin Colligan (CTC, Concurrent Technologies Corporation): Analysis of Torque Data from Friction Stir Welds in Aluminum
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting
Analysis of Torque Data from Friction Stir Welds in Aluminum - Sixth aiCAMstir Meeting

Stephan Kallee (AluStir): Using Artificial Intelligence in the Computer Aided Manufacturing of Friction Stir Welds (0:39:59)

Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Using Artificial Intelligence in the Computer Aided Manufacturing of Friction Stir Welds by Stephan Kallee, Simon Smith and Mike Lewis
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Presentation Overview: Data Labelling, Ontology, Tool Design Data Base, Weld Data Base, CFD and Analytical Modelling, Machine Learning and Artificial Intelligence and Automated Visual Assessment and Adaptive Process Control within the aiCAMstir Network
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Forces, torque and speed etc. What is input? What is output? Data to be processed are: Parameters, Variables, Boundary values and Quality
The tip of an iceberg representing the small amount of evaluated data during the application of AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Data labelling and ontology - Data Processing: Most of the recorded data will never be used
A weld record in 28 columns - Kevin Colligan’s Data Labelling: Workpiece (Alloy, Temper and Workpiece Thickness) Welding Tool (Tool Type, Probe and Shoulder, Probe Diameter, Thread Pitch and Shoulder Concavity); Machine Parameters (Plunge Force = Forge Force = Axial Force, Rotational Speed, Travel Speed and Tool Tilt Angle), Forces (Longitudinal Force, Transverse Force and Spindle Torque)
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
A weld record in 14 columns - Kevin Colligan’s Data Labelling, simplified to 14 columns and easy to read on portrait paper. Kevin Colligan's open access paper is available online.
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
What is missing? Friction stir welding operator's name, equipment identification, Tool identification (sketch, if required), clamping arrangement (sketch, if required), postweld processing and postweld heat treatment, time, temperature as well as name, date and signature
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
A weld record in 14 rows: Alloy and Temper, Shoulder Diameter, Probe Diameter, Thread Pitch, Workpiece Thickness, Tilt Angle, Rotational Speed, Travel Speed, Forge Force, Long. Force, Trans. Force, Spindle Torque and Reference or or A weld record in 38 rows: Alloy and Temper (AS), Alloy and Temper (RS), Tool Serial No, Shoulder Diameter, Probe Diameter, Thread Pitch, Workpiece Thickness (AS), Workpiece Thickness (RS), Joint Design, Clamping Arrangement, Tilt Angle, Side Tilt Angle, Dwell Time, Rotational Speed, Travel Speed, Heel Plunge Depth, Forge Force, Long. Force, Trans. Force, Spindle Torque, Postweld Treatment, Yield, UTS, Elongation, Environment, Comment, Machine manufacturer, Machine model, Machine Serial No, Company, Investigator, Date of Welding Data Entered by, Date of Data Entry and Reference
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Representation, formal naming, and definition of the categories, properties and relations between the concepts, data and entities… - Machine Learning/AI for FSW, Ontology: In computer science, … ontology is a way of showing the properties of a subject area and how they are related, by defining a set of concepts and categories that represent the subject
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Recommendations for selecting FSW parameters - Analytical Modelling
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Recommendations for FSW tool design - Tool Design Data Base
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Visualisation of the expected material flow by CFD (Computational Fluid Dynamics)
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Support the machine operator by automated visual assessment - Machine Learning/AI for FSW
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixt haiCAMstir Meeting
Deep learning, machine learning and artificial intelligence - Machine Learning/AI for FSW
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Aim: Adaptive parameter control based on automated weld assessment - Vision
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Automated visual assessment - Image Processsing
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Inline non-destructive testing - Automated NDI (Non Destructive Inspection)
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
NDT by PAUT and TOFD using Nordinkraft equipment - FSW Quality Control Procedures
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
FSW Quality Control – Defects – Butt Welds
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
FSW Quality Control – Defects – Dissimilar Welds
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
FSW Quality Control – Defects – Lap Welds
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Welding Measurements
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Post-weld measurements
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Variation of the tool rotation speed: 3000rpm: Too hot (top), 5000rpm: Far too hot (centre) and 1300rpm: Good (bottom) - Adaptive process control
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
aiCAMstir
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
aiCAMstir Network
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
aiCAMstir Meetings
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Please register at www.aicamstir.com - aiCAMstir Contributions Welcome
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
aiCAMstir Knowledge Basse
Using AI in the Computer Aided Manufacturing of Friction Stir Welds - Sixth aiCAMstir Meeting
Summary

Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes (1:13:47)

Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Gilles Sevestre (Stirweld): Friction Stir Welding without Exit Holes
Watch Watch Video here, Visit Stirweld: www.stirweld.com, Contact Stirweld: laurent.dubourg@stirweld.com

A video recording of this online meeting is available via the following link:

Recording of the Sixth aiCAMstir Meeting (Total: 1:45 h, the first presentation starts at 0:10:16 h)

Literature

Kevin Colligan: Analysis of Data from Friction Stir Welds in Aluminum
Kevin Colligan: Analysis of Data from Friction Stir Welds in Aluminum. Presented at ISFSWP 2022, Joint International Symposium on Friction Stir Welding and Processing, 28-30 September 2022, Lüneburg, Germany
Please click onto the image twice or click here to read or print it.

Next meeting

We want to invite you to attend the Seventh online aiCAMstir Meeting on using artificial intelligence in Computer Aided Manufacture of friction stir welds. The meeting will be held on Thursday, 23 January 2023, 16:00 - 17:30 (London), as shown on upcoming events.

Please contact stephan.kallee@alustir.com, if you want to attend the meeting and/or if you want to participate in the project.