{"id":"https://openalex.org/W3120095120","doi":"https://doi.org/10.1080/0951192x.2020.1858507","title":"A hybrid 3D feature recognition method based on rule and graph","display_name":"A hybrid 3D feature recognition method based on rule and graph","publication_year":2021,"publication_date":"2021-01-14","ids":{"openalex":"https://openalex.org/W3120095120","doi":"https://doi.org/10.1080/0951192x.2020.1858507","mag":"3120095120"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2020.1858507","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2020.1858507","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025402599","display_name":"Liang Guo","orcid":"https://orcid.org/0000-0002-1826-7999"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Guo","raw_affiliation_strings":["School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080294823","display_name":"Zhou Ming","orcid":"https://orcid.org/0000-0002-6539-3517"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhou","raw_affiliation_strings":["School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043548798","display_name":"Yuqian Lu","orcid":"https://orcid.org/0000-0001-5954-0421"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yuqian Lu","raw_affiliation_strings":["Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002718892","display_name":"Yang Tao","orcid":"https://orcid.org/0000-0002-5058-8899"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101775532","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-1970-4713"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering,Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025402599"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":3.776,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93501436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"3","first_page":"257","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.6055507659912109},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.605157732963562},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5976695418357849},{"id":"https://openalex.org/keywords/feature-recognition","display_name":"Feature recognition","score":0.56004798412323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49651509523391724},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.49628621339797974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48877570033073425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4817390739917755},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4803922772407532},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.475000262260437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47260528802871704},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.43523871898651123},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4271705746650696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3257637023925781},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.29581284523010254},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25617146492004395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22597041726112366},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11220851540565491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055507659912109},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.605157732963562},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5976695418357849},{"id":"https://openalex.org/C180863505","wikidata":"https://www.wikidata.org/wiki/Q5439687","display_name":"Feature recognition","level":3,"score":0.56004798412323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49651509523391724},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.49628621339797974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48877570033073425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4817390739917755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4803922772407532},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.475000262260437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47260528802871704},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43523871898651123},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4271705746650696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257637023925781},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.29581284523010254},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25617146492004395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22597041726112366},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11220851540565491},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0951192x.2020.1858507","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2020.1858507","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1068361361","display_name":null,"funder_award_id":"No. OGE201702-20","funder_id":"https://openalex.org/F4320322859","funder_display_name":"Southwest Petroleum University"},{"id":"https://openalex.org/G3538686104","display_name":null,"funder_award_id":"No. 51705438","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G473180081","display_name":null,"funder_award_id":"No. 2019CXTD02","funder_id":"https://openalex.org/F4320322859","funder_display_name":"Southwest Petroleum University"},{"id":"https://openalex.org/G5614992126","display_name":null,"funder_award_id":"No.2018JY0366","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322859","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W374380708","https://openalex.org/W1910918478","https://openalex.org/W1964668573","https://openalex.org/W1973828587","https://openalex.org/W1977095394","https://openalex.org/W1983579102","https://openalex.org/W1988658389","https://openalex.org/W1990172481","https://openalex.org/W1993456296","https://openalex.org/W1995640397","https://openalex.org/W1995870875","https://openalex.org/W2008466534","https://openalex.org/W2027164416","https://openalex.org/W2032484730","https://openalex.org/W2034472080","https://openalex.org/W2039877717","https://openalex.org/W2042830635","https://openalex.org/W2052445404","https://openalex.org/W2058558726","https://openalex.org/W2069080224","https://openalex.org/W2073698290","https://openalex.org/W2076964314","https://openalex.org/W2105687228","https://openalex.org/W2157991123","https://openalex.org/W2165764797","https://openalex.org/W2195442086","https://openalex.org/W2323595338","https://openalex.org/W2555424289","https://openalex.org/W2753917303","https://openalex.org/W2767346351","https://openalex.org/W2784068562","https://openalex.org/W2797161036","https://openalex.org/W2797813920","https://openalex.org/W2922180196","https://openalex.org/W2947104796"],"related_works":["https://openalex.org/W1495517617","https://openalex.org/W2348336869","https://openalex.org/W2365490113","https://openalex.org/W2375007741","https://openalex.org/W2188806419","https://openalex.org/W2383149323","https://openalex.org/W2162786374","https://openalex.org/W2386873048","https://openalex.org/W2368691009","https://openalex.org/W2016835026"],"abstract_inverted_index":{"The":[0,44,168,180],"implementation":[1],"of":[2,40,58,66,143,189],"automatic":[3],"feature":[4,80,173],"recognition":[5,81,149,174],"(AFR)":[6],"techniques":[7,28],"is":[8,48,52,87,109,125,136],"considered":[9],"an":[10,99],"indispensable":[11],"concept":[12],"in":[13,101,116,166],"transferring":[14],"product":[15],"data":[16,141],"between":[17],"computer-aided":[18,22],"design":[19,119],"(CAD)":[20],"and":[21,29,84,93,129,150,187],"process":[23],"planning":[24],"(CAPP).":[25],"Different":[26],"AFR":[27],"systems":[30],"have":[31,42],"been":[32],"developed":[33],"to":[34,54,70,111,138],"serve":[35],"this":[36,74,102],"aim;":[37],"however,":[38],"each":[39,50],"them":[41],"limitations.":[43],"main":[45],"research":[46],"gap":[47],"that":[49,184],"system":[51],"restricted":[53],"a":[55,76],"specific":[56],"set":[57],"predefined":[59],"manufacturing":[60],"features,":[61,92],"which":[62],"makes":[63],"the":[64,105,113,117,122,130,140,144,148,163,185,190],"universality":[65],"these":[67],"methods":[68],"difficult":[69],"extended.":[71],"To":[72],"solve":[73],"problem,":[75],"new":[77],"hybrid":[78,172],"3D":[79,123],"method":[82,108,175,191],"(graph":[83],"rule":[85],"based)":[86],"proposed":[88,137],"for":[89],"recognizing":[90],"machining":[91,114],"shaft":[94,158],"parts":[95,159],"are":[96,153,160,192],"taken":[97],"as":[98,162],"example":[100],"paper.":[103],"First,":[104],"reverse":[106],"modeling":[107],"used":[110,161],"classify":[112],"features":[115],"part":[118],"process.":[120],"Second,":[121],"model":[124],"represented":[126],"by":[127],"B-Rep,":[128],"weighted":[131],"attribute":[132],"adjacency":[133],"matrix":[134],"(WAAM)":[135],"represent":[139],"structure":[142],"B-Rep":[145],"model.":[146],"Third,":[147],"suppression":[151],"rules":[152],"defined.":[154],"Finally,":[155],"three":[156],"typical":[157],"test":[164,169,182],"cases":[165],"MATLAB.":[167],"results":[170],"show":[171],"can":[176],"recognize":[177],"all":[178],"features.":[179],"comparative":[181],"shows":[183],"practicability":[186],"efficiency":[188],"satisfactory.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
