{"id":"W3025613379","doi":"10.1080/20550340.2020.1764236","title":"Determination of convective heat transfer coefficient for automated fiber placement (AFP) for thermoplastic composites using hot gas torch","year":2020,"lang":"en","type":"article","venue":"Advanced Manufacturing Polymer & Composites Science","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Nozzle; Heat transfer; Heat transfer coefficient; Convective heat transfer; Composite material; Torch; Convection; Heat flux; Volumetric flow rate; Composite number; Thermodynamics; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008588093,0.0004146697,0.000423661,0.0008710116,0.0004055228,0.0003076495,0.0004473888,0.0004330526,0.001108598],"category_scores_gemma":[0.002016173,0.0003483328,0.0005936151,0.00100848,0.0003217437,0.0005271464,0.0001813856,0.0005618067,0.0004123525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959888,"about_ca_system_score_gemma":0.0005623718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579204,"about_ca_topic_score_gemma":0.006166496,"domain_scores_codex":[0.9990466,0.0001053534,0.00003318699,0.0001947869,0.0005483521,0.00007166153],"domain_scores_gemma":[0.9982238,0.0008599861,0.0002699832,0.00008929503,0.0005263192,0.00003051232],"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":[0.0001514599,0.00009188236,0.008626925,0.0003742402,0.0000340028,0.0001342841,0.0003838086,0.01076742,0.9477391,0.0005257301,0.000526013,0.03064517],"study_design_scores_gemma":[0.000007916447,0.0001707152,0.01388195,0.00002016502,0.00003682745,0.0001051249,0.00009626104,0.04003029,0.94392,0.00008834362,0.001590945,0.00005150282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918908,0.00167595,0.1018168,0.00009423486,0.0001009415,0.0001585343,0.0004207125,0.0005698758,0.003272122],"genre_scores_gemma":[0.9656234,0.0004814033,0.03276514,0.00001746908,0.000009275965,0.00006796438,0.0001366113,0.00005764614,0.000841034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003579204,"threshold_uncertainty_score":0.007116735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808071160365647,"score_gpt":0.2568877080799653,"score_spread":0.2388069964763088,"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."}}