{"id":"W2749178540","doi":"10.1007/s00170-017-0975-9","title":"A numerical and experimental study to investigate convective heat transfer and associated cutting temperature distribution in single point turning","year":2017,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Heat transfer coefficient; Convective heat transfer; Heat transfer; Computational fluid dynamics; Convection; Machining; Materials science; Coolant; Mechanics; Mechanical engineering; NTU method; Engineering; Micro heat exchanger; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001470046,0.000118639,0.0001739131,0.0001263221,0.0001308741,0.00008888809,0.0002713685,0.00005124021,0.0000014021],"category_scores_gemma":[0.0002335074,0.00009503896,0.00001727954,0.00004186959,0.00006314681,0.0003130459,0.00008916551,0.0003578117,1.634134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545702,"about_ca_system_score_gemma":0.000007381624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009697493,"about_ca_topic_score_gemma":0.00001616717,"domain_scores_codex":[0.999368,0.00001434782,0.0002365967,0.0001200036,0.000132263,0.0001288457],"domain_scores_gemma":[0.9996979,0.00004666371,0.00005837146,0.0000916149,0.00006683821,0.00003860485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003490279,0.0003262641,0.006221985,0.00001714813,0.0002305271,0.0001293178,0.005120767,0.7545795,0.2233997,0.0002190624,0.00001037753,0.009396278],"study_design_scores_gemma":[0.001980188,0.0005874934,0.01550423,0.0002476458,0.00001712138,0.0001843154,0.002798793,0.004559957,0.9722211,0.001645764,0.00005040952,0.0002030247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931548,0.0002019017,0.005121578,0.001100672,0.000219185,0.0001326972,0.000003337225,0.00004973191,0.00001605835],"genre_scores_gemma":[0.998915,0.00003893857,0.0009523875,0.0000377453,0.00003058248,0.000006637932,0.000001897071,0.00001439509,0.000002482021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7500196,"threshold_uncertainty_score":0.3875576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006845416746663272,"score_gpt":0.2530293175572921,"score_spread":0.2461839008106288,"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."}}