{"id":"W4205509938","doi":"10.1016/j.ymssp.2021.108620","title":"Chatter stability analysis in Micro-milling with aerostatic spindle considering speed effect","year":2022,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Compute Canada","keywords":"Rotational speed; Stiffness; Bearing (navigation); Engineering; End milling; Stability (learning theory); Centrifugal force; Process (computing); Mechanical engineering; Critical speed; Structural engineering; Vibration; Control theory (sociology); Machining; Materials science; Acoustics; Rotor (electric); Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005112379,0.0001772307,0.0003938381,0.0001318062,0.0002271072,0.0001111165,0.00007018779,0.00003985799,0.00002971162],"category_scores_gemma":[0.00001096971,0.0001522531,0.00003549776,0.0006412528,0.0000182616,0.0001612077,0.00004710685,0.0002719347,4.149256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009515069,"about_ca_system_score_gemma":0.00001730613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004823892,"about_ca_topic_score_gemma":0.00002219371,"domain_scores_codex":[0.9988256,0.00007692893,0.0003249998,0.0002987279,0.000208452,0.0002653297],"domain_scores_gemma":[0.9996587,0.00009082491,0.00007299166,0.00008949592,0.00002141118,0.00006654522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004881341,0.0000169476,0.003885859,0.0006766432,0.00005939901,0.00001644367,0.000410421,0.980217,0.01181289,0.00002063969,7.112422e-7,0.002834261],"study_design_scores_gemma":[0.0005053615,0.0001665415,0.0001110094,0.0001180296,0.00009718976,0.00001968231,0.0005303217,0.9951642,0.002961376,0.00005438501,0.00003426067,0.0002376472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6242915,0.00130309,0.3739793,0.00001254882,0.00004173717,0.000220719,0.000004564072,0.00009892085,0.00004755411],"genre_scores_gemma":[0.9980384,0.000007793119,0.001820562,0.00002179251,0.00002227109,0.00004162229,0.00001186326,0.00002949184,0.000006270108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3737468,"threshold_uncertainty_score":0.6208703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033069071743856,"score_gpt":0.2158294863258918,"score_spread":0.2054987956084532,"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."}}