{"id":"W2954828142","doi":"10.1108/hff-10-2018-0553","title":"Numerical assessment of miniaturized cold spray nozzle for additive manufacturing","year":2019,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CenterLine (Canada); University of Windsor","funders":"","keywords":"Nozzle; Mechanics; Discharge coefficient; Mach number; Turbulence; Heat transfer; Compressible flow; Reynolds-averaged Navier–Stokes equations; Turbulence kinetic energy; Compressibility; Materials science; Finite volume method; Mechanical engineering; Thermodynamics; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004211206,0.0002689817,0.0003899163,0.0003001604,0.0002975225,0.000633865,0.000499773,0.0005606239,0.001522368],"category_scores_gemma":[0.001039968,0.0001247112,0.0003024037,0.0002327798,0.0003776793,0.0002084913,0.0003509597,0.0002693507,0.0001037797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919704,"about_ca_system_score_gemma":0.0003678548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930928,"about_ca_topic_score_gemma":0.001386968,"domain_scores_codex":[0.9998239,0.00003678798,0.00001051257,0.00002036044,0.00008893226,0.0000195974],"domain_scores_gemma":[0.9995953,0.0001923443,0.00006686325,0.00002950208,0.00009467948,0.00002122415],"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":[0.0001823549,0.00009602007,0.005030111,0.0002646334,0.00002406556,0.0004475115,0.0000990745,0.9151089,0.06167075,0.002099642,0.0003543554,0.01462271],"study_design_scores_gemma":[0.00001800816,0.0001998234,0.001368717,0.00001236827,0.000009880857,0.0000625675,0.00003621109,0.9913257,0.006057393,0.0001554221,0.0007439832,0.00000990533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934795,0.0008074231,0.05276799,0.0001971132,0.0001112196,0.0001512643,0.0001844705,0.0002730223,0.01071252],"genre_scores_gemma":[0.9788648,0.0001936197,0.0200253,0.00001499565,0.000007171166,0.00004167163,0.00006205472,0.0000130786,0.0007774238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001930928,"threshold_uncertainty_score":0.0050928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149221470061344,"score_gpt":0.3752494953654355,"score_spread":0.353757280664822,"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."}}