{"id":"W2992369099","doi":"10.1007/s00170-019-04627-9","title":"Effect of process parameters on chip formation during vibration-assisted drilling of Ti6Al4V","year":2019,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McMaster University","funders":"","keywords":"Materials science; Drilling; Scanning electron microscope; Thrust; Titanium alloy; Vibration; Chip formation; Rake angle; Machining; Chip; Amplitude; Composite material; Structural engineering; Tool wear; Mechanical engineering; Metallurgy; Optics; Acoustics; Engineering; Alloy","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":[0.0002012721,0.0001855956,0.0001985034,0.000115689,0.0001961424,0.000256846,0.0002559911,0.0002766346,0.00136748],"category_scores_gemma":[0.0007187609,0.0001825952,0.00013346,0.0001256604,0.0002621343,0.0003088841,0.0001739399,0.0002594163,0.0001288206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524146,"about_ca_system_score_gemma":0.0001876523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140334,"about_ca_topic_score_gemma":0.001246101,"domain_scores_codex":[0.9998738,0.00001440471,0.000007300494,0.00002461571,0.00003759494,0.00004238433],"domain_scores_gemma":[0.9995118,0.0002442664,0.0001035536,0.00002937329,0.00007957691,0.00003134629],"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":[0.001416305,0.00005686955,0.001012981,0.0001732292,0.00001609657,0.0001533463,0.0001723905,0.002297702,0.9888854,0.00009980879,0.0001388476,0.005577079],"study_design_scores_gemma":[0.00002889368,0.0009399439,0.008915536,0.000006941887,0.00002461033,0.00006004297,0.0001522251,0.007803683,0.9815616,0.00003532324,0.0004529004,0.00001834456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989548,0.0001940515,0.0005150752,0.00001788867,0.00001814173,0.000003472912,0.00002366605,0.000023352,0.0002495507],"genre_scores_gemma":[0.9996021,0.00003227569,0.0002147212,0.000003991599,0.000001503868,0.000001451169,0.00001141638,0.000005003079,0.0001273362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136748,"threshold_uncertainty_score":0.004574656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003576141554005121,"score_gpt":0.2348642803043899,"score_spread":0.2312881387503848,"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."}}