{"id":"https://openalex.org/W4294577375","doi":"https://doi.org/10.1016/j.rcim.2022.102445","title":"Track geometry prediction for Laser Metal Deposition based on on-line artificial vision and deep neural networks","display_name":"Track geometry prediction for Laser Metal Deposition based on on-line artificial vision and deep neural networks","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4294577375","doi":"https://doi.org/10.1016/j.rcim.2022.102445"},"language":"en","primary_location":{"id":"doi:10.1016/j.rcim.2022.102445","doi":"https://doi.org/10.1016/j.rcim.2022.102445","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.rcim.2022.102445","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0736584522001284/pdf","source":{"id":"https://openalex.org/S118216261","display_name":"Robotics and Computer-Integrated Manufacturing","issn_l":"0736-5845","issn":["0736-5845","1879-2537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotics and Computer-Integrated Manufacturing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.sciencedirect.com/science/article/pii/S0736584522001284/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Martina Perani","orcid":"https://orcid.org/0000-0002-5776-5296","observed_orcids":["https://orcid.org/0000-0002-5776-5296"]},"institutions":[{"id":"https://openalex.org/I4210116528","display_name":"Swiss Distance University of Applied Sciences","ror":"https://ror.org/01t75ff47","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210116528"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Martina Perani","raw_affiliation_strings":["Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-5776-5296","affiliations":[{"raw_affiliation_string":"Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland","institution_ids":["https://openalex.org/I4210116528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073244612","display_name":"Stefano Baraldo","orcid":"https://orcid.org/0000-0002-7941-8287","observed_orcids":["https://orcid.org/0000-0002-7941-8287"]},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Stefano Baraldo","raw_affiliation_strings":["Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-7941-8287","affiliations":[{"raw_affiliation_string":"Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland","institution_ids":["https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Decker","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210116528","display_name":"Swiss Distance University of Applied Sciences","ror":"https://ror.org/01t75ff47","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210116528"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Decker","raw_affiliation_strings":["Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland","institution_ids":["https://openalex.org/I4210116528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078671906","display_name":"Ambra Vandone","orcid":"https://orcid.org/0000-0003-4025-8228","observed_orcids":["https://orcid.org/0000-0003-4025-8228"]},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ambra Vandone","raw_affiliation_strings":["Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-4025-8228","affiliations":[{"raw_affiliation_string":"Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland","institution_ids":["https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088210442","display_name":"Anna Valente","orcid":"https://orcid.org/0000-0003-3257-4482","observed_orcids":["https://orcid.org/0000-0003-3257-4482"]},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Anna Valente","raw_affiliation_strings":["Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland","institution_ids":["https://openalex.org/I15196421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012923372","display_name":"Beatrice Paoli","orcid":"https://orcid.org/0000-0001-5576-4110","observed_orcids":["https://orcid.org/0000-0001-5576-4110"]},"institutions":[{"id":"https://openalex.org/I4210116528","display_name":"Swiss Distance University of Applied Sciences","ror":"https://ror.org/01t75ff47","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210116528"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Beatrice Paoli","raw_affiliation_strings":["Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Web Science, Fernfachhochschule Schweiz (FFHS), Brig, Switzerland","institution_ids":["https://openalex.org/I4210116528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073244612"],"corresponding_institution_ids":["https://openalex.org/I15196421"],"apc_list":{"value":3790,"currency":"USD","value_usd":3790},"apc_paid":{"value":3790,"currency":"USD","value_usd":3790},"fwci":4.926,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97068306,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"79","issue":null,"first_page":"102445","last_page":"102445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/laser-metal-deposition","display_name":"laser metal deposition","score":0.9879999756813049},{"id":"https://openalex.org/keywords/online-process-monitoring","display_name":"real-time process monitoring","score":0.7509999871253967},{"id":"https://openalex.org/keywords/melt-pool-imaging","display_name":"melt pool imaging","score":0.7860000133514404},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8610000014305115},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.5989999771118164},{"id":"https://openalex.org/keywords/inconel-718","display_name":"Inconel 718","score":0.9559999704360962},{"id":"https://openalex.org/keywords/additive-manufacturing","display_name":"additive manufacturing","score":0.9160000085830688},{"id":"https://openalex.org/keywords/process-parameter-prediction","display_name":"process parameter prediction","score":0.49300000071525574},{"id":"https://openalex.org/keywords/aerospace-materials","display_name":"aerospace materials","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6430618762969971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687912702560425},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5331639051437378},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5258344411849976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5017454624176025},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44632408022880554},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.43771812319755554},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.43093180656433105},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.4150007367134094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3845006227493286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32599836587905884},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.19281718134880066},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18032732605934143},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.rcim.2022.102445","doi":"https://doi.org/10.1016/j.rcim.2022.102445","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.rcim.2022.102445","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0736584522001284/pdf","source":{"id":"https://openalex.org/S118216261","display_name":"Robotics and Computer-Integrated Manufacturing","issn_l":"0736-5845","issn":["0736-5845","1879-2537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotics and Computer-Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.rcim.2022.102445","doi":"https://doi.org/10.1016/j.rcim.2022.102445","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.rcim.2022.102445","pdf_url":"https://www.sciencedirect.com/science/article/pii/S0736584522001284/pdf","source":{"id":"https://openalex.org/S118216261","display_name":"Robotics and Computer-Integrated Manufacturing","issn_l":"0736-5845","issn":["0736-5845","1879-2537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotics and Computer-Integrated Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4188445235","display_name":"Ground Control: closed-loop adaptive control for AM-DED process optimization","funder_award_id":"179014","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294577375.pdf","grobid_xml":"https://content.openalex.org/works/W4294577375.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1492815834","https://openalex.org/W1600545872","https://openalex.org/W1686810756","https://openalex.org/W1985314090","https://openalex.org/W2003110013","https://openalex.org/W2014579544","https://openalex.org/W2048241946","https://openalex.org/W2049981393","https://openalex.org/W2082674896","https://openalex.org/W2095576930","https://openalex.org/W2099446180","https://openalex.org/W2123045220","https://openalex.org/W2138767560","https://openalex.org/W2156740851","https://openalex.org/W2163605009","https://openalex.org/W2196365938","https://openalex.org/W2330358343","https://openalex.org/W2412321691","https://openalex.org/W2604272474","https://openalex.org/W2732304117","https://openalex.org/W2736239427","https://openalex.org/W2787894218","https://openalex.org/W2794251843","https://openalex.org/W2799328997","https://openalex.org/W2810873985","https://openalex.org/W2912392993","https://openalex.org/W2915627018","https://openalex.org/W2944011376","https://openalex.org/W2950932307","https://openalex.org/W2954815486","https://openalex.org/W2956046114","https://openalex.org/W2990155470","https://openalex.org/W3036096047","https://openalex.org/W3044219677","https://openalex.org/W3096074169","https://openalex.org/W3097098266","https://openalex.org/W3121825981","https://openalex.org/W3184203295","https://openalex.org/W3197695692","https://openalex.org/W3215382866","https://openalex.org/W4238452437","https://openalex.org/W4394042586","https://openalex.org/W6662433583","https://openalex.org/W6788746716"],"related_works":["https://openalex.org/W4389109159","https://openalex.org/W4220952917","https://openalex.org/W4391425696","https://openalex.org/W4408468019","https://openalex.org/W4399110300","https://openalex.org/W4226227621","https://openalex.org/W6964790677","https://openalex.org/W4283389553","https://openalex.org/W7135188629","https://openalex.org/W7117547177"],"abstract_inverted_index":{"Laser":[0],"Metal":[1],"Deposition":[2],"(LMD)":[3],"is":[4,79,190],"an":[5,97],"additive":[6],"manufacturing":[7],"technology":[8],"that":[9,105],"attracts":[10],"great":[11],"interest":[12],"from":[13],"the":[14,40,76,118,134,177,187,211],"industry,":[15],"thanks":[16],"to":[17,20,30,116,161,176],"its":[18,47],"potential":[19],"realize":[21],"parts":[22],"with":[23,112,148],"complex":[24],"geometries":[25],"in":[26,63],"one":[27],"piece,":[28],"and":[29,55,68,88,100,152,179,213],"repair":[31],"damaged":[32],"ones,":[33],"while":[34],"maintaining":[35],"good":[36],"mechanical":[37],"properties.":[38],"Nevertheless,":[39],"complexity":[41],"of":[42,65,85,120,136,174,181,186,204],"this":[43],"process":[44,77,113],"has":[45],"limited":[46],"widespread":[48],"adoption,":[49],"since":[50],"different":[51,61],"part":[52,73],"geometries,":[53],"strategies":[54],"boundary":[56],"conditions":[57],"can":[58],"yield":[59],"very":[60,80],"results":[62,169],"terms":[64],"external":[66],"shapes":[67],"inner":[69],"flaws.":[70],"Moreover,":[71],"monitoring":[72,99],"quality":[74],"during":[75],"execution":[78],"challenging,":[81],"as":[82,146],"direct":[83],"measurements":[84],"both":[86],"structural":[87],"geometrical":[89],"properties":[90],"are":[91,158],"mostly":[92],"impracticable.":[93],"This":[94],"work":[95],"proposes":[96],"on-line":[98],"prediction":[101],"approach":[102],"for":[103,210],"LMD":[104,201],"exploits":[106],"coaxial":[107],"melt":[108,143],"pool":[109,144],"images,":[110],"together":[111],"input":[114],"data,":[115],"estimate":[117],"size":[119,180],"a":[121,128,137,171,207],"track":[122],"deposited":[123,199],"by":[124,200],"LMD.":[125],"In":[126],"particular,":[127],"novel":[129],"deep":[130],"learning":[131],"architecture":[132],"combines":[133],"output":[135],"convolutional":[138,166],"neural":[139],"network":[140,156],"(that":[141],"takes":[142],"images":[145],"inputs)":[147],"scalar":[149],"variables":[150],"(process":[151],"trajectory":[153],"data).":[154],"Various":[155],"architectures":[157],"evaluated,":[159],"suggesting":[160],"use":[162],"at":[163],"least":[164],"three":[165],"layers.":[167,183],"Furthermore,":[168],"imply":[170],"certain":[172],"degree":[173],"invariance":[175],"number":[178],"dense":[182],"The":[184],"effectiveness":[185],"proposed":[188],"method":[189],"demonstrated":[191],"basing":[192],"on":[193,196],"experiments":[194],"performed":[195],"single":[197],"tracks":[198],"using":[202],"powders":[203],"Inconel":[205],"718,":[206],"relevant":[208],"material":[209],"aerospace":[212],"automotive":[214],"sectors.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-09-05T00:00:00"}
