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Thus, the objective is to add a new '''aiCAM<sup>''stir''</sup> computer aided manufacturing''' control system to FSW machines, which recommends (or even automatically optimises) parameters based on '''computational fluid dynamics (CFD), finite element analysis (FEA), design of experiments (DOE), Wikipedia-like open source cloud data''' and '''artificial intelligence (AI)''' including '''machine learning'''. | Thus, the objective is to add a new '''aiCAM<sup>''stir''</sup> computer aided manufacturing''' control system to FSW machines, which recommends (or even automatically optimises) parameters based on '''computational fluid dynamics (CFD), finite element analysis (FEA), design of experiments (DOE), Wikipedia-like open source cloud data''' and '''artificial intelligence (AI)''' including '''machine learning'''. | ||
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Revision as of 21:15, 8 April 2021
aiCAMstir: Artificial Intelligence based Computer Aided Manufacturing of Friction Stir Welds
It is difficult to choose and optimise the friction stir welding tool design and welding parameters for lap welding, as shown by many publications.[2]
Thus, the objective is to add a new aiCAMstir computer aided manufacturing control system to FSW machines, which recommends (or even automatically optimises) parameters based on computational fluid dynamics (CFD), finite element analysis (FEA), design of experiments (DOE), Wikipedia-like open source cloud data and artificial intelligence (AI) including machine learning.
Example | Example |
Example | Example |
Example | Example | Example |
Example | Example | Example |
Test[3]
See also
References
- ↑ Mike Lewis and Simon D. Smith: The Development of FSW Process Modelling for Use by Process Engineers. In: The Minerals, Metals & Materials Society 2021: Friction Stir Welding and Processing XI. 17 Feb 2021.
- ↑ Matthew Champagne (University of New Orleans): Investigation of 2195 and 2219 Post Weld Heat Treatments for Additive Friction Stir Lap Welds. Pages 9, 20-21.
- ↑ Reference