{"id":"W2045890980","doi":"10.1177/0892705711428657","title":"Optimization of thermoplastic composites resistance welding parameters based on transient heat transfer finite element modeling","year":2011,"lang":"en","type":"article","venue":"Journal of Thermoplastic Composite Materials","topic":"Thermal properties of materials","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; École de Technologie Supérieure; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Welding; Finite element method; Clamping; Heat transfer; Overheating (electricity); Thermal resistance; Thermal conduction; Electric resistance welding; Thermoplastic; Structural engineering; Mechanical engineering; Mechanics","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":[0.0004570615,0.0006598265,0.0006450536,0.0006061603,0.0002534962,0.0006943416,0.0006691582,0.0008184719,0.001712553],"category_scores_gemma":[0.0009874287,0.0005463501,0.000730385,0.0003127023,0.0003277296,0.0005096124,0.0002605812,0.0004140693,0.0003573023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005726448,"about_ca_system_score_gemma":0.0006532936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594975,"about_ca_topic_score_gemma":0.00320063,"domain_scores_codex":[0.9998261,0.00005096054,0.00001076768,0.00002302621,0.00006416246,0.00002508336],"domain_scores_gemma":[0.9996964,0.0001643709,0.00004844858,0.00003028471,0.00005037192,0.0000100811],"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":[0.00002729306,0.00002977458,0.0002361876,0.00003298302,0.000006062483,0.00001802002,0.00002836857,0.986592,0.008214569,0.0005697942,0.00004417768,0.004200805],"study_design_scores_gemma":[0.000005609539,0.00002422862,0.00009161094,0.000002873341,0.000004908944,0.000006539959,0.00000812206,0.9959946,0.003500129,0.0001229964,0.0002342254,0.000004189963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3448321,0.0002544762,0.6437376,0.0001060472,0.00002382013,0.0001634722,0.0002190118,0.0009084563,0.009755003],"genre_scores_gemma":[0.8987353,0.0001694575,0.09871979,0.00001346972,0.000003929334,0.0002620356,0.0001426363,0.0001324977,0.00182085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002594975,"threshold_uncertainty_score":0.005729079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159066905244168,"score_gpt":0.2167811035999914,"score_spread":0.1851904345475497,"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."}}