A meta-reinforcement learning method by incorporating simulation and real data for machining deforma...
A meta-reinforcement learning method by incorporating simulation and real data for machining deformation control of finishing process
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Publisher
London: Taylor & Francis
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Language
English
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Publisher
London: Taylor & Francis
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Scope and Contents
Contents
Finishing determines the final dimension and geometric accuracy of parts, and the finishing process directly affects the stiffness and residual stress redistribution of the workpiece, so the optimisation of the finishing process plays a very important role in deformation control. At present, existing data-driven methods for deformation control need...
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Full title
A meta-reinforcement learning method by incorporating simulation and real data for machining deformation control of finishing process
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TN_cdi_crossref_citationtrail_10_1080_00207543_2022_2027041
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1080_00207543_2022_2027041
Other Identifiers
ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2022.2027041
