{"id":"W3017054166","doi":"10.1002/nme.6366","title":"Simultaneous topology and build orientation optimization for minimization of additive manufacturing cost and time","year":2020,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Minification; Topology optimization; Network topology; Volume (thermodynamics); Orientation (vector space); Mathematical optimization; Computer science; Sensitivity (control systems); Component (thermodynamics); Multi-objective optimization; Manufacturing cost; Industrial engineering; Topology (electrical circuits); Engineering; Mechanical engineering; Mathematics; Finite element method; Electronic engineering; Structural engineering","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":[0.0006077115,0.0006915112,0.0005993865,0.0006861446,0.0002503294,0.0007295113,0.0005052583,0.0006186435,0.00182859],"category_scores_gemma":[0.0009837623,0.0003579434,0.0006335485,0.0004796734,0.0004811174,0.0005041893,0.000620433,0.000523572,0.0002841867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005928984,"about_ca_system_score_gemma":0.0008468921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368171,"about_ca_topic_score_gemma":0.001789472,"domain_scores_codex":[0.9997546,0.00006213551,0.000008197387,0.00003553201,0.0001050339,0.00003450037],"domain_scores_gemma":[0.9996351,0.0001864773,0.00005807898,0.00002848764,0.00007435716,0.00001746923],"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":[0.00001692486,0.00001824314,0.0002364114,0.0000441607,0.000009893264,0.00002862962,0.000012737,0.9767349,0.005637381,0.005298787,0.0001941199,0.0117678],"study_design_scores_gemma":[0.000002252846,0.00001977439,0.00009412348,0.00000326217,0.000004121748,0.00001299958,0.000005009844,0.99708,0.001269518,0.00113976,0.0003665813,0.000002573712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04815358,0.0001855891,0.9451714,0.00009195628,0.00002287607,0.00004529729,0.0000421795,0.0001276212,0.006159548],"genre_scores_gemma":[0.7538224,0.0002160743,0.2422771,0.0000386375,0.00001823071,0.0001794582,0.00006973738,0.0001193535,0.003258917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00182859,"threshold_uncertainty_score":0.006117225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252537313620016,"score_gpt":0.3216227558549456,"score_spread":0.3090973827187454,"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."}}