http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20200065768-A

Outgoing Links

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filingDate 2018-11-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2eed3b3297d0ef67a00c8f57a2989526
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publicationDate 2020-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20200065768-A
titleOfInvention Method For Predicting Flow Stress Of Ti-6Al-4V Alloy And Apparatus The Same
abstract The present invention applies a random forest algorithm to modeling strain and temperature-dependent flow stress in hot forming a Ti-6Al-4V alloy, and improves the accuracy of flow stress predicted by this modeling. It relates to a method for predicting the flow stress of an alloy. The present invention is a step of performing a compression experiment on the specimen of the Ti-6Al-4V alloy; Storing experimental data on the flow stress of the Ti-6Al-4V alloy; Learning a designated flow stress model among a plurality of flow stress models using the experimental data; Predicting the flow stress of the Ti-6Al-4V alloy using the learned flow stress model, and generating a predicted flow stress prediction value; And verifying the generated flow stress prediction value based on a result predicted by another flow stress model other than the specified flow stress model.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20230052148-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115436186-A
priorityDate 2018-11-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 29.