{"id":"W3165366904","doi":"10.1016/j.cirp.2021.04.060","title":"Active control of high frequency chatter with machine tool feed drives in turning","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia; National Science Foundation","keywords":"Control theory (sociology); Vibration; Engineering; Modal; Controller (irrigation); Machine tool; Feed forward; Process (computing); Stability (learning theory); Control engineering; Filter (signal processing); Servo; Control (management); Mechanical engineering; Computer science; Acoustics; Materials science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559483,0.000282182,0.0003566323,0.0002301194,0.0002337756,0.0005615497,0.0004771363,0.0003250994,0.001020588],"category_scores_gemma":[0.000849329,0.0001482591,0.0001669742,0.0001521176,0.000427011,0.00026292,0.0002928413,0.000324314,0.0000950503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609147,"about_ca_system_score_gemma":0.0001222147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008684107,"about_ca_topic_score_gemma":0.001384845,"domain_scores_codex":[0.999804,0.00006020185,0.000009405925,0.00002533837,0.00007018583,0.00003095777],"domain_scores_gemma":[0.9994504,0.0003416378,0.00005638547,0.00002583234,0.0001064825,0.00001924547],"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":[0.00263015,0.0003409317,0.002368889,0.0008623852,0.0001316528,0.0007399945,0.001081844,0.4065557,0.2651847,0.0299562,0.001561761,0.2885857],"study_design_scores_gemma":[0.00004479181,0.0006456966,0.001796755,0.00002914464,0.00003096915,0.0001278129,0.00007720775,0.972622,0.020237,0.002744982,0.001626118,0.00001761052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4389723,0.0008940639,0.549352,0.0001232462,0.0002184295,0.00003128003,0.00001531302,0.0002068575,0.01018649],"genre_scores_gemma":[0.9952692,0.00006354432,0.003530648,0.000008767112,0.00001212088,0.000006637408,0.00000299762,0.000006150248,0.001100011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001020588,"threshold_uncertainty_score":0.003414154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007001771364977215,"score_gpt":0.2243626882347919,"score_spread":0.2173609168698147,"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."}}