{"id":"W4399916785","doi":"10.1007/978-981-97-0372-2_32","title":"Investigation of Heat Transfer Improvement of Nanofluid Flows Utilizing Alumina Nanoparticles in Large Annulus Region of Cylinders Using CFD Simulation","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Nanofluid; Annulus (botany); Computational fluid dynamics; Materials science; Heat transfer; Nanoparticle; Mechanics; Heat transfer enhancement; Composite material; Nanotechnology; Heat transfer coefficient; 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":[0.0001287455,0.0001887496,0.0003342171,0.000178623,0.000339112,0.0002832802,0.0002881045,0.0003087519,0.0007588862],"category_scores_gemma":[0.0001902168,0.0001287155,0.0003182513,0.000215005,0.0002458186,0.0003666098,0.000147813,0.0002355397,0.00012221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630273,"about_ca_system_score_gemma":0.0002029902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530424,"about_ca_topic_score_gemma":0.001140918,"domain_scores_codex":[0.999943,0.000005957277,0.000002823648,0.00001444215,0.00002266148,0.00001105731],"domain_scores_gemma":[0.9998955,0.00005135674,0.00001277471,0.000008112776,0.00002674839,0.000005612326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003747466,0.0001791645,0.002700024,0.0003173985,0.00001552695,0.0003110009,0.0002436551,0.1291584,0.8418636,0.002643517,0.001045659,0.02114741],"study_design_scores_gemma":[0.00002054914,0.0002809323,0.004544117,0.00001449128,0.00002116367,0.00007128467,0.0001047582,0.6122299,0.380663,0.0003816906,0.001640964,0.00002719021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774679,0.0006439144,0.01424498,0.0001215932,0.00004928811,0.00003030501,0.0001784052,0.0002599352,0.007003765],"genre_scores_gemma":[0.9932715,0.0001683856,0.004870926,0.000009193177,0.000005511833,0.00001556219,0.00006851157,0.0000171857,0.001573194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530424,"threshold_uncertainty_score":0.003042996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672520528504048,"score_gpt":0.1964157921241613,"score_spread":0.1796905868391208,"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."}}