{"id":"W4402191562","doi":"10.1007/s11665-024-10011-w","title":"In Situ Pre-heating in Wire Arc Additive Manufacturing: Design, Development, and Experimental Investigation on Residual Stresses and Metallurgical and Mechanical Properties","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Materials science; Residual stress; Metallurgy; In situ; Arc (geometry); Mechanical engineering; 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":[0.0002333669,0.0002740211,0.0002954378,0.0001651949,0.0002868631,0.0003192374,0.000529319,0.0002553432,0.001245465],"category_scores_gemma":[0.0003079629,0.0002582695,0.0001783718,0.0001686536,0.0003409913,0.0004188873,0.0002458106,0.0004172657,0.00018564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872227,"about_ca_system_score_gemma":0.0002737553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003236962,"about_ca_topic_score_gemma":0.00102289,"domain_scores_codex":[0.9997992,0.00001858188,0.000007136016,0.00004885287,0.00009861392,0.00002772188],"domain_scores_gemma":[0.9996933,0.00007600667,0.00008647201,0.00005426577,0.00006857284,0.00002148824],"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":[0.0001258848,0.00005511544,0.0003456422,0.00006067447,0.000004158017,0.00002002915,0.00006640675,0.0007388461,0.9940679,0.0001819688,0.0000404314,0.004293071],"study_design_scores_gemma":[0.000005079407,0.0003394117,0.001356825,0.000001798754,0.000008506308,0.00002612622,0.00002064713,0.002404936,0.9953695,0.00001758722,0.0004462884,0.000003261925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842305,0.0003525239,0.01334413,0.00003600225,0.00002355388,0.00003400286,0.00004468411,0.0001762156,0.0017584],"genre_scores_gemma":[0.9947844,0.0001065917,0.003847498,0.000005949564,0.000004517251,0.00001380891,0.00002072319,0.00003069156,0.001185866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245465,"threshold_uncertainty_score":0.004166484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381052180730161,"score_gpt":0.2157529491738198,"score_spread":0.1919424273665182,"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."}}