{"id":"W3001708567","doi":"10.1007/s00170-020-04945-3","title":"On the impacts of tool geometry and cutting conditions in straight turning of aluminum alloys 6061-T6: an experimentally validated numerical study","year":2020,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Machining; Rake angle; Enhanced Data Rates for GSM Evolution; Machinability; Materials science; Drilling; RADIUS; Cutting tool; Tool wear; Mechanical engineering; Chip formation; Aerospace; Aluminium; Metallurgy; Geometry; Engineering; Computer science; Mathematics","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":[0.0002999988,0.0002792959,0.000458221,0.0004007967,0.0004149456,0.0005128183,0.0004561598,0.0006978047,0.002169311],"category_scores_gemma":[0.001523793,0.0002215984,0.0003771222,0.0002808133,0.0007481189,0.0003330193,0.0002695822,0.0002720348,0.0002379318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293227,"about_ca_system_score_gemma":0.0002871652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771439,"about_ca_topic_score_gemma":0.003261377,"domain_scores_codex":[0.9998174,0.00002912193,0.000007632043,0.00002614649,0.00006760651,0.00005210399],"domain_scores_gemma":[0.9986492,0.0009360929,0.0001408692,0.00008074858,0.0001561187,0.00003714245],"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":[0.00244731,0.0007796093,0.009684853,0.0007037141,0.00006641597,0.001171697,0.0004185343,0.5536371,0.4048469,0.001594405,0.0008983626,0.02375117],"study_design_scores_gemma":[0.000125168,0.002192367,0.03430272,0.0000431225,0.0001089928,0.0003487628,0.000515071,0.8391042,0.1215079,0.0005885899,0.001063587,0.00009953172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959368,0.0001727312,0.001807538,0.00002162772,0.00001443477,0.00001286217,0.00006981868,0.00004645722,0.001917643],"genre_scores_gemma":[0.999365,0.00004357349,0.0003845509,0.000004275311,0.000001761179,0.000002934594,0.00002133291,0.00000529026,0.0001712513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002771439,"threshold_uncertainty_score":0.007257044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009634149657183979,"score_gpt":0.2709497443738024,"score_spread":0.2613155947166185,"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."}}