{"id":"W4309251808","doi":"10.1016/j.ijfatigue.2022.107401","title":"Orientation-dependent fatigue assessment of Ti6Al4V manufactured by L-PBF: Size of surface features and shielding effect","year":2022,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Object Research Systems (Canada)","funders":"European Commission","keywords":"Electromagnetic shielding; Materials science; Surface roughness; Orientation (vector space); Shielding effect; Fatigue limit; Surface (topology); Surface finish; Titanium alloy; Fracture (geology); Stress (linguistics); Fatigue testing; Morphology (biology); Structural engineering; Composite material; Geometry; Mathematics; Engineering; Geology; 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":[0.000234845,0.0001951483,0.0001294079,0.0002620014,0.0001638614,0.0001406628,0.0001977171,0.0004466016,0.001174134],"category_scores_gemma":[0.0004243758,0.0001471562,0.0001670147,0.000189254,0.0001894894,0.0001650502,0.00008936109,0.0001286629,0.0002059271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516514,"about_ca_system_score_gemma":0.0001383994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292641,"about_ca_topic_score_gemma":0.004276381,"domain_scores_codex":[0.9998797,0.0000114936,0.000006811459,0.00002608222,0.00005505774,0.00002077446],"domain_scores_gemma":[0.9995437,0.00008784942,0.0001055885,0.000028928,0.0002105227,0.00002335254],"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":[0.0003982188,0.00002982916,0.00427063,0.0000561033,0.000008559509,0.00009167845,0.0001131629,0.001934062,0.9882374,0.00003476825,0.00009020702,0.004735378],"study_design_scores_gemma":[0.00001520367,0.002067412,0.1423038,0.00001884743,0.00007652256,0.0003881402,0.0003460783,0.01828053,0.8350799,0.00004628712,0.001344158,0.00003313833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983968,0.0001358831,0.0008801997,0.000008526884,0.000005457066,0.000003991545,0.00008702566,0.00002068397,0.0004613564],"genre_scores_gemma":[0.9988118,0.00003977426,0.0006145436,0.000005826803,0.000001777935,0.000002958515,0.00007686405,0.000007574931,0.0004388299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001292641,"threshold_uncertainty_score":0.003927827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009449959250797418,"score_gpt":0.2811968937874881,"score_spread":0.2717469345366906,"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."}}