{"id":"W2028308268","doi":"10.4028/www.scientific.net/kem.504-506.95","title":"Study of True Stress-Strain Curve after Necking for Application in Ductile Fracture Criteria in Tube Hydroforming of Aerospace Material","year":2012,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Hydroforming; Necking; Formability; Materials science; Stress (linguistics); Finite element method; Ultimate tensile strength; Stress–strain curve; Sheet metal; Aerospace; Structural engineering; Deformation (meteorology); Fracture (geology); Composite material; Tube (container); Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006027811,0.0002388831,0.0005130196,0.0003137744,0.0000100911,0.00002382052,0.0001440113,0.0001503435,0.00005847718],"category_scores_gemma":[0.00007403535,0.0002584698,0.00003793131,0.0001894131,0.00001070688,0.0003985853,0.00003721781,0.00007883582,0.000001031586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007749595,"about_ca_system_score_gemma":0.000005600353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115358,"about_ca_topic_score_gemma":0.00001493573,"domain_scores_codex":[0.9985363,0.00003043453,0.0007733846,0.0001662351,0.0001460179,0.0003476583],"domain_scores_gemma":[0.9994609,0.00006465476,0.0001174413,0.0002826549,0.00003190643,0.00004248171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006398038,0.0001324516,0.005998001,0.0009436182,0.00002177189,9.830056e-7,0.00307721,0.03078374,0.9586595,0.000144142,0.000007001388,0.0001676408],"study_design_scores_gemma":[0.000581088,0.00006926398,0.04528911,0.00022988,0.00001667375,0.000001829252,0.0001708147,0.003115938,0.9500774,0.00007129689,0.0001098469,0.0002668765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934199,0.00005072159,0.004408543,0.000003317121,0.0005690599,0.001076414,0.0002960358,0.0001635244,0.00001248247],"genre_scores_gemma":[0.9951334,0.000004357961,0.004063918,0.000002421845,0.0001602897,0.0004810763,0.00007729762,0.00007424915,0.000002985145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03929111,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102533400187807,"score_gpt":0.2612907661296763,"score_spread":0.2510374261108956,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}