{"id":"W2087816063","doi":"10.1115/imece2006-13949","title":"Control of the Clad Height in Laser Powder Deposition Process Using a PID Controller","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"PID controller; Control theory (sociology); Nonlinear system; Process control; Controller (irrigation); Process (computing); Laser power scaling; Laser; Power (physics); Materials science; Control engineering; Computer science; Engineering; Temperature control; Optics; Control (management); Physics; Artificial intelligence","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":[0.0003549063,0.0003165597,0.0003171379,0.0001492491,0.0003375578,0.0005347293,0.0004595976,0.0003565875,0.0004713415],"category_scores_gemma":[0.0006310139,0.0002097771,0.0001603923,0.0001283579,0.000303763,0.0002294708,0.0002061672,0.0003178007,0.0001457563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007952,"about_ca_system_score_gemma":0.0005098571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892977,"about_ca_topic_score_gemma":0.001708023,"domain_scores_codex":[0.9998367,0.00002120423,0.000008874916,0.00004579585,0.00006791471,0.00001950566],"domain_scores_gemma":[0.9997301,0.000110744,0.00005127371,0.00002443753,0.00007025477,0.00001331095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006428348,0.0002121107,0.001551831,0.0003293905,0.00003986261,0.0002325913,0.000224113,0.35772,0.5028973,0.002690997,0.0008358296,0.132623],"study_design_scores_gemma":[0.00004421788,0.0001727728,0.0007219666,0.000006616411,0.00001544266,0.00005118169,0.00001132809,0.9420294,0.0559811,0.0002645574,0.0006901165,0.00001139998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2259478,0.0003819597,0.7675892,0.0001487277,0.00006874576,0.000101802,0.00004520995,0.0008670887,0.004849481],"genre_scores_gemma":[0.9626196,0.000087264,0.03633849,0.00001530245,0.000006452236,0.00003231008,0.00001350193,0.0000096435,0.0008774903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001892977,"threshold_uncertainty_score":0.003763914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00317857408582192,"score_gpt":0.1903214369657185,"score_spread":0.1871428628798966,"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."}}