AiCAMstir Kick-off Meeting, 29 July 2021: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 4: | Line 4: | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 01.jpeg |thumb|left|upright=3.2|alt=Title slide of the aiCAMstir Kick-off Meeting, which was held online on 29th July 2021 with 16 attendees.|Title slide of the aiCAMstir Kick-off Meeting, which was held online on 29th July 2021 with 17 attendees]] | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 01.jpeg |thumb|left|upright=3.2|alt=Title slide of the aiCAMstir Kick-off Meeting, which was held online on 29th July 2021 with 16 attendees.|Title slide of the aiCAMstir Kick-off Meeting, which was held online on 29th July 2021 with 17 attendees]] | ||
<div style="clear:both;"> | |||
== Screenshot == | == Screenshot == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 02.JPG|thumb|left|upright=3|alt=Photos of six attendees and a list of the 17 attendees.|Screenshot of the aiCAMstir Kick-off Meeting]] | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 02.JPG|thumb|left|upright=3|alt=Photos of six attendees and a list of the 17 attendees.|Screenshot of the aiCAMstir Kick-off Meeting]] | ||
Line 49: | Line 50: | ||
|} | |} | ||
<div style="clear:both;"> | |||
== Agenda == | == Agenda == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 03.JPG|thumb|left|upright=3.2|alt=Agenda of the aiCAMstir Kick-off Meeting.|Agenda of the aiCAMstir Kick-off Meeting: | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 03.JPG|thumb|left|upright=3.2|alt=Agenda of the aiCAMstir Kick-off Meeting.|Agenda of the aiCAMstir Kick-off Meeting: | ||
Line 62: | Line 64: | ||
• Organisational comments and date of next meeting]] | • Organisational comments and date of next meeting]] | ||
<div style="clear:both;"> | |||
== Computer Aided Manufacturing of friction stir welds - The vision == | == Computer Aided Manufacturing of friction stir welds - The vision == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 04.JPG|thumb|left|upright=3.2|alt=Stephan Kallee being interviewed: "Parameter optimisation is often difficult during prototyping, production ramp-up and production. We want to create an open access cloud, where FSW users can upload and use data and information for machine learning."|Stephan Kallee commented: "Parameter optimisation is often difficult during prototyping, production ramp-up and production," and shared the vison: "We want to create an open access cloud, where FSW users can upload and use data and information for machine learning."]] | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 04.JPG|thumb|left|upright=3.2|alt=Stephan Kallee being interviewed: "Parameter optimisation is often difficult during prototyping, production ramp-up and production. We want to create an open access cloud, where FSW users can upload and use data and information for machine learning."|Stephan Kallee commented: "Parameter optimisation is often difficult during prototyping, production ramp-up and production," and shared the vison: "We want to create an open access cloud, where FSW users can upload and use data and information for machine learning."]] | ||
Line 67: | Line 70: | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 05.jpg|thumb|left|upright=3.2|alt=aiCAMstir: artificial intelligence (machine learning) in Computer Aided Manufacturing of friction stir welds - The friction stir weld made at 1300 rev/min and 1000 mm/m welding speed shows the visually best results so far.|Three friction stir welds made at 5000 rev/min, 3000 rev/min and 1300 rev/min at 1000 mm/m welding speed. The weld with the lowest rotation speed has the best visusal apprearance.]] | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 05.jpg|thumb|left|upright=3.2|alt=aiCAMstir: artificial intelligence (machine learning) in Computer Aided Manufacturing of friction stir welds - The friction stir weld made at 1300 rev/min and 1000 mm/m welding speed shows the visually best results so far.|Three friction stir welds made at 5000 rev/min, 3000 rev/min and 1300 rev/min at 1000 mm/m welding speed. The weld with the lowest rotation speed has the best visusal apprearance.]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 06.JPG|thumb|left|upright=3.2|alt=|Avoid: <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 06.JPG|thumb|left|upright=3.2|alt=|Avoid: <br /> | ||
Line 90: | Line 92: | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 09.JPG|thumb|left|upright=3.2|alt=Three concepts for improved FSW tools|Improved tool designs to be investigated in the aiCAMstir project]] | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 09.JPG|thumb|left|upright=3.2|alt=Three concepts for improved FSW tools|Improved tool designs to be investigated in the aiCAMstir project]] | ||
<div style="clear:both;"> | |||
== Computional Fluid Dynamics == | == Computional Fluid Dynamics == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 10.JPG|thumb|left|upright=3.2|alt=|FSW Simulation using Computerised Fluid Dynamics (CFD) – Butt Weld <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 10.JPG|thumb|left|upright=3.2|alt=|FSW Simulation using Computerised Fluid Dynamics (CFD) – Butt Weld <br /> | ||
Line 112: | Line 115: | ||
[https://www.mdpi.com/2075-4701/10/7/872 www.mdpi.com/2075-4701/10/7/872]]] | [https://www.mdpi.com/2075-4701/10/7/872 www.mdpi.com/2075-4701/10/7/872]]] | ||
<div style="clear:both;"> | |||
== Artificial Intelligence and machine learning algorithms == | == Artificial Intelligence and machine learning algorithms == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 12.JPG|thumb|left|upright=3.2|alt=|•The first step is the construction of a '''high-quality dataset''' of good and bad welding. This dataset may consist of experimental and/or numerical samples.<br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 12.JPG|thumb|left|upright=3.2|alt=|•The first step is the construction of a '''high-quality dataset''' of good and bad welding. This dataset may consist of experimental and/or numerical samples.<br /> | ||
Line 123: | Line 127: | ||
<br /> | <br /> | ||
• '''Output (target)''' may be a continuous variable like the torque ('''regression''') or whether the welding is expected to be good or bad ('''classification''')]] | • '''Output (target)''' may be a continuous variable like the torque ('''regression''') or whether the welding is expected to be good or bad ('''classification''')]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 13.JPG|thumb|left|upright=3.2|alt=|• “Non-deep” learning models like '''Linear Regression, Support Vector Machine or Decision Trees''' may be directly used with well-designed input features. The model may be inspired by equations of the expected physics. <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 13.JPG|thumb|left|upright=3.2|alt=|• “Non-deep” learning models like '''Linear Regression, Support Vector Machine or Decision Trees''' may be directly used with well-designed input features. The model may be inspired by equations of the expected physics. <br /> | ||
Line 131: | Line 134: | ||
• '''Deep Neural Networks''' may be used to extract more subtle patterns from images/videos or time series (e.g. Convolutional Neural Network - CNN).]] | • '''Deep Neural Networks''' may be used to extract more subtle patterns from images/videos or time series (e.g. Convolutional Neural Network - CNN).]] | ||
<div style="clear:both;"> | |||
== Analytical models == | == Analytical models == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 14.JPG|thumb|left|upright=3.2|alt=|Predictions of [[FSW power]]: <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 14.JPG|thumb|left|upright=3.2|alt=|Predictions of [[FSW power]]: <br /> | ||
• Torque, 𝑡, needed to make a weld is unknown <br /> | • Torque, 𝑡, needed to make a weld is unknown <br /> | ||
• Power consumed by tool rotation is 𝑡𝜔 <br /> | • Power consumed by tool rotation is 𝑡𝜔 <br /> | ||
• Can these be calculated?]] | • Can these be calculated?]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 15.JPG|thumb|left|upright=3.2|alt=|The FSW circle: <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 15.JPG|thumb|left|upright=3.2|alt=|The FSW circle: <br /> | ||
Line 144: | Line 146: | ||
• Temperature, 𝑻, Function of power <br /> | • Temperature, 𝑻, Function of power <br /> | ||
• Strength, 𝝈, Function of temperature]] | • Strength, 𝝈, Function of temperature]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 16.JPG|thumb|left|upright=3.2|alt=|Baseline variables for analysis <br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 16.JPG|thumb|left|upright=3.2|alt=|Baseline variables for analysis <br /> | ||
Line 158: | Line 159: | ||
::• The radius of the tool, 𝑅 <br /> | ::• The radius of the tool, 𝑅 <br /> | ||
• FSW power is equal to the unknown torque, 𝑡 times the rotation speed, ω]] | • FSW power is equal to the unknown torque, 𝑡 times the rotation speed, ω]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 17.JPG|thumb|left|upright=3.2|alt=|Assumed relationships:<br /> | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 17.JPG|thumb|left|upright=3.2|alt=|Assumed relationships:<br /> | ||
Line 172: | Line 172: | ||
• Answer: FSW power based upon (𝑣, 𝜎𝑅𝑇, 𝑇<sub>𝑀</sub>, 𝑅, ω, 𝑘, 𝑎) | • Answer: FSW power based upon (𝑣, 𝜎𝑅𝑇, 𝑇<sub>𝑀</sub>, 𝑅, ω, 𝑘, 𝑎) | ||
]] | ]] | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 18.JPG|thumb|left|upright=3.2|alt=|Example: | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 18.JPG|thumb|left|upright=3.2|alt=|Example: | ||
Line 178: | Line 177: | ||
]] | ]] | ||
<div style="clear:both;"> | |||
== Friction Stir Welding == | == Friction Stir Welding == | ||
[[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 19.JPG|thumb|left|upright=3.2|alt=|PHYSICAL METALLURGY LABORATORY (LAMEF) | [[File:AiCAMstir Kick-off Meeting, 29th July 2021 - Slide 19.JPG|thumb|left|upright=3.2|alt=|PHYSICAL METALLURGY LABORATORY (LAMEF) | ||
Line 200: | Line 200: | ||
• Recent publication on FSW: http://dx.doi.org/10.4322/2176-1523.20202450 ]] | • Recent publication on FSW: http://dx.doi.org/10.4322/2176-1523.20202450 ]] | ||
<div style="clear:both;"> | |||
== Two companies – one team == | == Two companies – one team == | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 01.jpg|thumb|left|upright=4|alt=Smart Industry Group: Ukrainian company specializing in developing software for PLC, SCADA-systems, and software solutions in various industries - Latrock GmbH: German company specializing in Data Science, Machine Learning, Web Development, DevOps, Embedded System, IoT and Mobile Applications. | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 01.jpg|thumb|left|upright=4|alt=Smart Industry Group: Ukrainian company specializing in developing software for PLC, SCADA-systems, and software solutions in various industries - Latrock GmbH: German company specializing in Data Science, Machine Learning, Web Development, DevOps, Embedded System, IoT and Mobile Applications.|Two companies - one team: Smart Industry Group and Latrock GmbH]] | ||
|Two companies - one team: Smart Industry Group and Latrock GmbH]] | |||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 02.jpg|thumb|left|upright=4|alt=Computer vision, Machine learning, Data science - Cloud-based platforms - IoT - Embedded systems - Desktop, mobile and Web-applications - Industrial automation|Our Competencies]] | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 02.jpg|thumb|left|upright=4|alt=Computer vision, Machine learning, Data science - Cloud-based platforms - IoT - Embedded systems - Desktop, mobile and Web-applications - Industrial automation|Our Competencies]] | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 03.jpg|thumb|left|upright=4|alt=Web, Data Science, Embedded Systems, DevOps, Mobile, Industrial Automation|Relaed Technologies]] | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 03.jpg|thumb|left|upright=4|alt=Web, Data Science, Embedded Systems, DevOps, Mobile, Industrial Automation|Relaed Technologies]] | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 04.jpg|thumb|left|upright=4|alt=Removing defects and flaws from marble surfaces is a great deal of time and manual effort. Zella-Mehlis machine fully automates marble refinishing and makes this significantly faster. | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 04.jpg|thumb|left|upright=4|alt=Removing defects and flaws from marble surfaces is a great deal of time and manual effort. Zella-Mehlis machine fully automates marble refinishing and makes this significantly faster. | ||
|Key projects: Marble Processing Machine]] | |Key projects: Marble Processing Machine]] | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 05.jpg|thumb|left|upright=4|alt=AI coach in a mobile app which analyses fitness exercises and provides statistic. | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 05.jpg|thumb|left|upright=4|alt=AI coach in a mobile app which analyses fitness exercises and provides statistic. | ||
|Key projects: Kerebra]] | |Key projects: Kerebra]] | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 06.jpg|thumb|left|upright=4|alt=Technologies: С++, Rust, Golang, Python, TensorFlow, Flutter, Firebase, PostgreSQL - Platform: Google Cloud Platform, Kubernetes, Android, iOS, Web|Key projects: Insolar]] | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 06.jpg|thumb|left|upright=4|alt=Technologies: С++, Rust, Golang, Python, TensorFlow, Flutter, Firebase, PostgreSQL - Platform: Google Cloud Platform, Kubernetes, Android, iOS, Web|Key projects: Insolar]] | ||
[[File:Two companies - one team; Smart Industry Group and Latrock GmbH 07.jpg|thumb|left|upright=4|alt=Smart Industry Group, Kharkiv, Poltavsky Shlyakh str., 123 - Latrock GmbH, Darmstädter Landstr. 116, 60598 Frankfurt am Main|'''Contacts:'''<br/>• '''Smart Industry Group''', Kharkiv, Poltavsky Shlyakh str., 123, Phone: +38 (067) 765 27 40 and +38 (067) 573 79 99, E-mail: [mailto:ceo@sig-automation.com ceo@sig-automation.com], [https://sig-automation.com/en www.sig-automation.com]<br/>• '''Latrock GmbH''', Darmstädter Landstr. 116, 60598 Frankfurt am Main, Phone: +49 6128 8600121, E-mail: [mailto:contact@latrock.com contact@latrock.com] [https://latrock.com/ www.latrock.com]]] | [[File:Two companies - one team; Smart Industry Group and Latrock GmbH 07.jpg|thumb|left|upright=4|alt=Smart Industry Group, Kharkiv, Poltavsky Shlyakh str., 123 - Latrock GmbH, Darmstädter Landstr. 116, 60598 Frankfurt am Main|'''Contacts:'''<br/>• '''Smart Industry Group''', Kharkiv, Poltavsky Shlyakh str., 123, Phone: +38 (067) 765 27 40 and +38 (067) 573 79 99, E-mail: [mailto:ceo@sig-automation.com ceo@sig-automation.com], [https://sig-automation.com/en www.sig-automation.com]<br/>• '''Latrock GmbH''', Darmstädter Landstr. 116, 60598 Frankfurt am Main, Phone: +49 6128 8600121, E-mail: [mailto:contact@latrock.com contact@latrock.com] [https://latrock.com/ www.latrock.com]]] |
Revision as of 16:16, 30 July 2021
The aiCAMstir Kick-off Meeting was held online on 29th July 2021 with 16 attendees.
Title slide
Screenshot
List of Attendees (alphabetically sorted by first name)
Company | People | Status | Signed-up on |
---|---|---|---|
Please enter your company name | Azman Ismail - Ts. Dr. | Guest | |
Please enter your company name | Breno Boretti Galizoni | Guest | |
Please enter your company name | Erhard Buchmann | Guest | |
Please enter your company name | Gokhan Tekin_Alcomet_R&D_Director (Konuk) | Guest | |
LAMEF | Guilherme V. B. Lemos | R&D Institute | 2021-06-01 |
Latrock GmbH | Heorhii Vdovychenko | Data science, machine learning etc | 2021-07-12 |
Sabe Technology Ltd | Josselin Guillozet | Consultancy service provider | 2021-02-18 |
Please enter your institute's name | Koen Faes | R&D Institute | 2021-04-14 |
Please enter your company name | Laurie Da Silva | Guest | |
FTS Engineering Answers Ltd | Mike Lewis | Consultancy service provider | 2021-01-14 |
Please enter your company name | Mansoor, Bilal | Guest | |
Please enter your company name | MJ Sefat | Guest | |
TPO Maharashtra Institute of Technology Aurangabad | Please enter your name | Guest | |
Please enter your institute's name | Renan Landell | R&D Institute | 2021-06-07 |
Please enter your institute's name | Sandeep | R&D Institute | 2021-07-25 |
Please enter your company name | Shivraman | Guest | |
AluStir | Stephan Kallee | Consultancy service provider | 2021-01-14 |
Agenda
Computer Aided Manufacturing of friction stir welds - The vision