{"id":"W4389888006","doi":"10.1007/s00170-023-12865-1","title":"Investigation into the effect of process parameters on density, surface roughness, and mechanical properties of 316L stainless steel fabricated by selective laser melting","year":2023,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Materials science; Selective laser melting; Ultimate tensile strength; Surface roughness; Response surface methodology; Microstructure; Laser power scaling; Taguchi methods; Composite material; Design of experiments; Porosity; Relative density; Elongation; Process variable; Laser; Process (computing); Optics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003939232,0.0001611908,0.0002865507,0.000165158,0.00006559816,0.00002409963,0.0005084727,0.00008225955,0.000001743107],"category_scores_gemma":[0.0002740941,0.00009218959,0.00003971758,0.0001554996,0.0002059625,0.0001471639,0.0001227522,0.0002914008,8.655061e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006095961,"about_ca_system_score_gemma":0.00001764316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679478,"about_ca_topic_score_gemma":0.000006178483,"domain_scores_codex":[0.9989956,0.00005968516,0.000374408,0.0001218918,0.0003029303,0.0001454901],"domain_scores_gemma":[0.9989829,0.0003410393,0.0003527696,0.0001161142,0.0001857121,0.00002148456],"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":[0.0005336213,0.00001211318,0.0002217949,0.0003102329,0.0003796307,0.000009445159,0.001064057,0.1500363,0.8390442,0.00009968023,0.00009022053,0.008198749],"study_design_scores_gemma":[0.0003763006,0.0002413475,0.0003419491,0.0002447825,0.00002751209,0.00002354589,0.0004995396,0.0007989937,0.9917413,0.005590213,0.00002633869,0.0000881713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982542,0.0001430981,0.0002803722,0.0008319776,0.0002100474,0.0001737754,0.000007939057,0.00009239779,0.000006195995],"genre_scores_gemma":[0.9995474,0.0001766446,0.0001953508,0.00001660058,0.0000223704,0.000009888947,0.00000306616,0.00002159175,0.000007046565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1526971,"threshold_uncertainty_score":0.3759383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008858693430479788,"score_gpt":0.2273999935200703,"score_spread":0.2185413000895905,"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."}}