{"id":"W3119212144","doi":"10.1007/s00170-020-06441-0","title":"On-line melt pool temperature control in L-PBF additive manufacturing","year":2021,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pyrometer; Materials science; Microstructure; Fabrication; Temperature control; Inconel; Mechanical engineering; Process (computing); Temperature gradient; Indentation hardness; Layer (electronics); Computer science; Process engineering; Temperature measurement; Composite material; 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":[0.0002238481,0.0003299586,0.00034106,0.0002702776,0.0003574559,0.0005969477,0.0007109153,0.000231684,0.00190753],"category_scores_gemma":[0.0003964854,0.0001894649,0.0001397017,0.0001950497,0.0002033161,0.0004952418,0.0004456167,0.0002718797,0.0004147425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311637,"about_ca_system_score_gemma":0.0003458111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006213765,"about_ca_topic_score_gemma":0.001316076,"domain_scores_codex":[0.9997177,0.00003765215,0.00001202655,0.00007002527,0.0001199377,0.00004274884],"domain_scores_gemma":[0.9997539,0.00006696607,0.00006981329,0.00003494477,0.00005742039,0.00001690134],"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":[0.001125864,0.0001575118,0.001165053,0.0001389672,0.00001291933,0.0000894975,0.0001648452,0.006018727,0.900725,0.0005413531,0.0005037616,0.08935661],"study_design_scores_gemma":[0.00002504639,0.0004899855,0.002121014,0.000008987793,0.00001520275,0.00009382159,0.00004062818,0.06384148,0.9301286,0.0001912358,0.0030256,0.00001848733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911685,0.0007290757,0.09730634,0.0001191769,0.00007097848,0.00008179505,0.0001411392,0.00167178,0.008711307],"genre_scores_gemma":[0.989801,0.00006077938,0.008779919,0.00002251006,0.000009724497,0.00001480697,0.00002937594,0.00006754813,0.001214335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00190753,"threshold_uncertainty_score":0.006381333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005932147162389942,"score_gpt":0.232704371154182,"score_spread":0.226772223991792,"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."}}