{"id":"W3177302046","doi":"10.1115/1.4051605","title":"Analytical Modeling of Shear Localization in Orthogonal Cutting Processes","year":2021,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Defence Research and Development Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Shear band; Adiabatic shear band; Shear (geology); Materials science; Shear stress; Simple shear; Shear rate; Rake; Finite element method; Critical resolved shear stress; Mechanics; Shear zone; Composite material; Structural engineering; Geology; Mechanical engineering; Rheology; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841173,0.0003300571,0.0003596893,0.000389029,0.0002450646,0.0004711385,0.000570054,0.0006137418,0.0009090001],"category_scores_gemma":[0.0006725659,0.0003184929,0.0004191204,0.00023773,0.0006350124,0.0005063634,0.0003470186,0.0003019353,0.0002355781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330092,"about_ca_system_score_gemma":0.0006039969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003443853,"about_ca_topic_score_gemma":0.001529173,"domain_scores_codex":[0.999869,0.00002147651,0.000004555267,0.00002038378,0.00005909778,0.00002546918],"domain_scores_gemma":[0.9998449,0.00005571128,0.00003805144,0.00001674395,0.00003622351,0.000008381639],"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":[0.00002364679,0.00002066282,0.0003996574,0.00001768953,0.000005058752,0.00006681092,0.00005128755,0.9728001,0.0140884,0.009696493,0.00006818878,0.002761894],"study_design_scores_gemma":[0.000001614177,0.000004834153,0.00006705387,9.655104e-7,9.22193e-7,0.000005556234,0.000002902666,0.9988465,0.0005764586,0.0004064937,0.00008518454,0.000001482225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3475937,0.0004338562,0.6380361,0.0001399309,0.00003986369,0.00005004412,0.00007461631,0.0002290642,0.01340283],"genre_scores_gemma":[0.9846067,0.0001527212,0.0124167,0.00001609444,0.000007258382,0.00003384695,0.00002189681,0.00002542314,0.002719277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003443853,"threshold_uncertainty_score":0.00684762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00934558008906939,"score_gpt":0.2280528980525483,"score_spread":0.2187073179634789,"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."}}