{"id":"https://openalex.org/W2990039880","doi":"https://doi.org/10.1155/2019/8649496","title":"A Recognition Methodology for the Key Geometric Errors of a Multi\u2010Axis Machine Tool Based on Accuracy Retentivity Analysis","display_name":"A Recognition Methodology for the Key Geometric Errors of a Multi\u2010Axis Machine Tool Based on Accuracy Retentivity Analysis","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2990039880","doi":"https://doi.org/10.1155/2019/8649496","mag":"2990039880"},"language":"en","primary_location":{"id":"doi:10.1155/2019/8649496","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/8649496","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8649496.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2019/8649496.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102733386","display_name":"Shijie Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I144917393","display_name":"Mongolian University of Science and Technology","ror":"https://ror.org/02shmve39","country_code":"MN","type":"education","lineage":["https://openalex.org/I144917393"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","MN"],"is_corresponding":false,"raw_author_name":"Shijie Guo","raw_affiliation_strings":["School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China","School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049","The College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"The College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051","institution_ids":["https://openalex.org/I144917393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735665","display_name":"Shufeng Tang","orcid":"https://orcid.org/0000-0002-3987-1810"},"institutions":[{"id":"https://openalex.org/I144917393","display_name":"Mongolian University of Science and Technology","ror":"https://ror.org/02shmve39","country_code":"MN","type":"education","lineage":["https://openalex.org/I144917393"]}],"countries":["MN"],"is_corresponding":false,"raw_author_name":"Shufeng Tang","raw_affiliation_strings":["The College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051"],"affiliations":[{"raw_affiliation_string":"The College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051","institution_ids":["https://openalex.org/I144917393"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342588","display_name":"Dongsheng Zhang","orcid":"https://orcid.org/0000-0002-8290-7786"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongsheng Zhang","raw_affiliation_strings":["School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China","School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100342588"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.3335,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79245247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9997000098228455,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9997000098228455,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9990000128746033,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7067931890487671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697145402431488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506923496723175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43005526065826416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4111829102039337},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331747353076935}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7067931890487671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697145402431488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506923496723175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43005526065826416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4111829102039337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331747353076935},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2019/8649496","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/8649496","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8649496.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8649496","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2019/8649496.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:857d557d2698433a986dd07a2fac61cc","is_oa":true,"landing_page_url":"https://doaj.org/article/857d557d2698433a986dd07a2fac61cc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/8649496","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/8649496","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8649496.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1659140642","display_name":null,"funder_award_id":"RZ1900002164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2301044636","display_name":null,"funder_award_id":"2019BS05008","funder_id":"https://openalex.org/F4320322868","funder_display_name":"Natural Science Foundation of Inner Mongolia"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5200669878","display_name":null,"funder_award_id":"61763036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322216","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496"},{"id":"https://openalex.org/F4320322868","display_name":"Natural Science Foundation of Inner Mongolia","ror":null},{"id":"https://openalex.org/F4320325744","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990039880.pdf","grobid_xml":"https://content.openalex.org/works/W2990039880.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W229700540","https://openalex.org/W612156365","https://openalex.org/W911553556","https://openalex.org/W1459090933","https://openalex.org/W1564897360","https://openalex.org/W1575882694","https://openalex.org/W1763227277","https://openalex.org/W1968186563","https://openalex.org/W1977286519","https://openalex.org/W1983600132","https://openalex.org/W1991312425","https://openalex.org/W1995267334","https://openalex.org/W2005403012","https://openalex.org/W2008748574","https://openalex.org/W2016159573","https://openalex.org/W2064701306","https://openalex.org/W2074989801","https://openalex.org/W2076184585","https://openalex.org/W2082166291","https://openalex.org/W2095367669","https://openalex.org/W2106469749","https://openalex.org/W2156550368","https://openalex.org/W2158585626","https://openalex.org/W2167101736","https://openalex.org/W2189036176","https://openalex.org/W2286513919","https://openalex.org/W2328212276","https://openalex.org/W2335879710","https://openalex.org/W2566500639","https://openalex.org/W2588155803","https://openalex.org/W2736007805","https://openalex.org/W2761038818","https://openalex.org/W2765309098","https://openalex.org/W2771341670","https://openalex.org/W2789999390","https://openalex.org/W2790795209","https://openalex.org/W2804351268","https://openalex.org/W2808609413","https://openalex.org/W2809267331","https://openalex.org/W2809385501","https://openalex.org/W2887719843","https://openalex.org/W2889846443","https://openalex.org/W2898001300","https://openalex.org/W2898864091","https://openalex.org/W2911076283","https://openalex.org/W2922751835","https://openalex.org/W2965175627","https://openalex.org/W4251686773"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"This":[0,256],"paper":[1],"proposes":[2],"a":[3,31,197],"recognition":[4],"methodology":[5,289],"for":[6,253,268],"key":[7,112,262],"geometric":[8,28,56,62,73,126,139,158,191,263,270],"errors":[9,74,140,159,264],"using":[10],"the":[11,21,27,40,53,61,68,71,76,83,86,94,98,102,105,119,125,130,134,137,143,147,156,162,168,178,190,207,210,218,221,232,236,240,248,261,269,273,278,287,293],"feature":[12],"extraction":[13],"method":[14,257],"and":[15,19,75,101,122,129,149,164,187,231],"accuracy":[16,57,185,279],"retentivity":[17,54,186,280],"analysis":[18,281],"presents":[20],"approach":[22],"of":[23,26,30,39,55,97,104,124,136,146,155,161,209,223,272],"optimization":[24,171],"compensation":[25,179],"error":[29,63,88,127,144,254,271],"multiaxis":[32,41],"machine":[33,42,99,201,274],"tool.":[34],"The":[35,79,213,283],"universal":[36],"kinematics":[37],"relations":[38],"tool":[43,100,202,275],"are":[44,114,227,251],"first":[45],"modelled":[46],"mathematically":[47],"based":[48,66,276],"on":[49,67,109,142,196,277],"screw":[50],"theory.":[51],"Then,":[52,167],"with":[58],"respect":[59],"to":[60,176,205],"is":[64,90,151,174,203,244],"defined":[65],"mapping":[69],"between":[70,184,239],"constitutive":[72],"time":[77,96],"domain.":[78],"results":[80,131,215,284],"show":[81,216,285],"that":[82,116,133,154,217,286],"variation":[84],"in":[85,189,220,235],"spatial":[87],"vector":[89],"nonlinear":[91],"while":[92],"considering":[93],"operation":[95],"position":[103,148],"motion":[106],"axes.":[107,166],"Based":[108],"this":[110],"aspect,":[111],"factors":[113],"extracted":[115],"simultaneously":[117],"consider":[118],"correlation,":[120],"similarity,":[121],"sensitivity":[123],"terms,":[128],"reveal":[132],"effect":[135],"position\u2010independent":[138],"(PIGEs)":[141],"vectors":[145],"orientation":[150],"greater":[152],"than":[153,229],"position\u2010dependent":[157],"(PDGEs)":[160],"linear":[163],"rotary":[165],"fruit":[169],"fly":[170],"algorithm":[172],"(FOA)":[173],"adopted":[175],"determine":[177],"values":[180],"through":[181],"multiobjective":[182],"tradeoffs":[183],"fluctuation":[188],"errors.":[192],"Finally,":[193],"an":[194],"experiment":[195],"four\u2010axis":[198],"horizontal":[199],"boring":[200],"used":[204,252],"validate":[206],"effectiveness":[208],"proposed":[211,288],"approach.":[212],"experimental":[214],"variations":[219],"precision":[222],"each":[224],"test":[225,242],"piece":[226],"lower":[228],"25.0%,":[230],"maximum":[233],"variance":[234],"detection":[237],"indexes":[238],"finished":[241],"pieces":[243],"0.002":[245],"mm":[246],"when":[247],"optimized":[249],"parameters":[250],"compensation.":[255],"not":[258],"only":[259],"recognizes":[260],"but":[265],"also":[266],"compensates":[267],"results.":[282],"can":[290],"effectively":[291],"enhance":[292],"machining":[294],"accuracy.":[295]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
