Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0163def25dcc6e399474860f4e9572c4 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-2045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N99-007 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-23 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-20 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N99-00 |
filingDate |
2018-11-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2eed3b3297d0ef67a00c8f57a2989526 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e2b154ed220b7cf33454a9c24db4fcc0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_911e4d316ac843193c83abe71263595f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a760e50e7ddf86098d4decdebd9a110e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_73475d20ddcc444215a8fd410679d17a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cccf9b81e28c212c773a440999de36e5 |
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 |