{"id":"W2900041768","doi":"10.3390/met8110901","title":"Finite Element Simulation of High-Speed Blow Forming of an Automotive Component","year":2018,"lang":"en","type":"article","venue":"Metals","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscoplasticity; Forming processes; Materials science; Finite element method; Superplasticity; Constitutive equation; Deformation (meteorology); Component (thermodynamics); Mechanics; Structural engineering; Composite material; Alloy; Engineering; Thermodynamics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003311725,0.0003975135,0.0004515692,0.0003686654,0.0004008423,0.0004337338,0.0006137544,0.001243712,0.002301105],"category_scores_gemma":[0.0008051701,0.0003021749,0.0004435851,0.000320826,0.0005341402,0.0002965124,0.0003576969,0.0003615701,0.0002269408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180661,"about_ca_system_score_gemma":0.0007291561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007382586,"about_ca_topic_score_gemma":0.006492879,"domain_scores_codex":[0.9998636,0.00003636839,0.000007236386,0.00001511495,0.00005034356,0.00002732578],"domain_scores_gemma":[0.999651,0.0001997572,0.00003815404,0.00002912311,0.00005755916,0.00002452887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003194474,0.00003003716,0.000823597,0.00002405121,0.00000799905,0.000047843,0.00003798154,0.993634,0.003119309,0.0006903921,0.00008877492,0.001464056],"study_design_scores_gemma":[0.000004010468,0.00001652205,0.0002281242,0.000002146542,0.000001671737,0.000006921344,0.00001103962,0.9988208,0.0006943644,0.00007251552,0.000139921,0.000001867582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820091,0.0001817235,0.1001876,0.0001736003,0.00005290845,0.00009898665,0.0004497283,0.0004246036,0.01642175],"genre_scores_gemma":[0.9784352,0.00007363707,0.01871265,0.00001873709,0.000003558176,0.00006679897,0.0002151708,0.00003567814,0.002438436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007382586,"threshold_uncertainty_score":0.01467919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409786558183252,"score_gpt":0.2857136645811195,"score_spread":0.2616157989992869,"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."}}