{"id":"W3018957874","doi":"10.3390/aerospace7050049","title":"Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 2/3: Investigation of Transient Vibration during Frequency Sweeps and Optimal Piezoelectric Actuator Excitation","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Transient (computer programming); Vibration; Acoustics; Amplitude; Sweep frequency response analysis; Actuator; Acceleration; Icing; Transient response; Transient state; Excitation; Steady state (chemistry); Mechanics; Accelerometer; Physics; Optics; Engineering; Electrical engineering; Computer science; Classical mechanics","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":[0.0003003774,0.0002590812,0.0002390073,0.0001285583,0.0002484513,0.0002794674,0.0003215319,0.0004112136,0.001070506],"category_scores_gemma":[0.000549781,0.0001811785,0.0001674133,0.00009764209,0.0002945755,0.0002505482,0.0001820825,0.0002336911,0.0001338302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032138,"about_ca_system_score_gemma":0.0003673034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008963712,"about_ca_topic_score_gemma":0.001365026,"domain_scores_codex":[0.999851,0.00001628732,0.000009548502,0.00003469849,0.00006445686,0.00002395398],"domain_scores_gemma":[0.9997339,0.00009890876,0.00004249285,0.0000345338,0.00006797427,0.00002221477],"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":[0.000283403,0.0002261269,0.003090207,0.000370862,0.00001396896,0.0002158162,0.0001451542,0.08103924,0.8943472,0.0003681894,0.0002002666,0.01969963],"study_design_scores_gemma":[0.0001072727,0.004183292,0.02497962,0.00002950671,0.00004569588,0.00016922,0.0002423256,0.4430932,0.5245368,0.0001616914,0.00241469,0.00003666183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944674,0.00008137076,0.05270472,0.0000594663,0.00002149434,0.0002048441,0.000110595,0.0001407004,0.002002754],"genre_scores_gemma":[0.9809591,0.00004567167,0.01832357,0.000006465136,0.000001783731,0.00005903684,0.0000403871,0.000006289897,0.0005577791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001070506,"threshold_uncertainty_score":0.003581166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195130864503091,"score_gpt":0.1990197357209667,"score_spread":0.1795066492706575,"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."}}