{"id":"https://openalex.org/W4397000229","doi":"https://doi.org/10.3233/idt-230247","title":"3D printing slicing algorithm and partition scanning strategy for big data","display_name":"3D printing slicing algorithm and partition scanning strategy for big data","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4397000229","doi":"https://doi.org/10.3233/idt-230247"},"language":"en","primary_location":{"id":"doi:10.3233/idt-230247","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-230247","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","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/A5112976447","display_name":"Qingyu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I207528943","display_name":"Chengdu Medical College","ror":"https://ror.org/01c4jmp52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I207528943"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyu Huang","raw_affiliation_strings":["College of Intelligent Manufacturing and Automobile, Chengdu Vocational and Technical College of Industry, Chengdu, Sichuan, China","College of Intelligent Manufacturing and automobile, Chengdu Vocational and Technical College of Industry, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligent Manufacturing and Automobile, Chengdu Vocational and Technical College of Industry, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I207528943"]},{"raw_affiliation_string":"College of Intelligent Manufacturing and automobile, Chengdu Vocational and Technical College of Industry, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I207528943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111816608","display_name":"Yi Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156034","display_name":"Sichuan Research Center of New Materials","ror":"https://ror.org/0587q0807","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhong","raw_affiliation_strings":["Electrical Automation, Chengdu Tiancheng Hengxin Technology Co., Ltd., Chengdu, Sichuan, China","Electrical automation, Chengdu Tiancheng Hengxin Technology Co., Ltd., Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Electrical Automation, Chengdu Tiancheng Hengxin Technology Co., Ltd., Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4210156034"]},{"raw_affiliation_string":"Electrical automation, Chengdu Tiancheng Hengxin Technology Co., Ltd., Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078565848","display_name":"Wenya Wang","orcid":"https://orcid.org/0000-0001-5612-7818"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenya Wang","raw_affiliation_strings":["Engineering College, Chengdu College of University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Engineering College, Chengdu College of University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112976447"],"corresponding_institution_ids":["https://openalex.org/I207528943"],"apc_list":null,"apc_paid":null,"fwci":0.2167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46266062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"2","first_page":"731","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9833999872207642,"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"}},"topics":[{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9833999872207642,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.9425148963928223},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6231350302696228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902414321899414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5049415230751038},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3404490053653717},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21656763553619385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17192569375038147},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11151233315467834}],"concepts":[{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.9425148963928223},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6231350302696228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902414321899414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5049415230751038},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3404490053653717},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21656763553619385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17192569375038147},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11151233315467834}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-230247","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-230247","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1932472321","https://openalex.org/W2127414816","https://openalex.org/W2162818071","https://openalex.org/W2299251378","https://openalex.org/W2343044157","https://openalex.org/W2417915283","https://openalex.org/W2487200295","https://openalex.org/W2522626811","https://openalex.org/W2553221934","https://openalex.org/W2554483409","https://openalex.org/W2576683119","https://openalex.org/W2586184221","https://openalex.org/W2603775437","https://openalex.org/W2624015975","https://openalex.org/W2741181432","https://openalex.org/W2751240695","https://openalex.org/W2767547957","https://openalex.org/W2794637858","https://openalex.org/W4236486765","https://openalex.org/W6678960601","https://openalex.org/W6684006811","https://openalex.org/W6742500474","https://openalex.org/W6749791233"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2393746923","https://openalex.org/W2972496411","https://openalex.org/W4239223006","https://openalex.org/W3033662781","https://openalex.org/W2137530048","https://openalex.org/W2360869927","https://openalex.org/W2050876785","https://openalex.org/W2319961983"],"abstract_inverted_index":{"3D":[0,36,47,86,98,110,149],"printing":[1,37,87,99,111,150,153],"technology":[2,7,11,34],"is":[3,19,38],"a":[4],"popular":[5],"new":[6],"that":[8,145],"combines":[9],"information":[10],"with":[12,147],"mechanical":[13],"engineering":[14],"and":[15,18,41,59,64,79,89,115,120,124,131,164,169],"material":[16],"science,":[17],"being":[20],"widely":[21],"used":[22,52],"in":[23,96,108,155],"various":[24],"fields.":[25],"From":[26],"the":[27,32,46,55,60,65,76,91,97,105,109,117,128,136,139,152,159,165,170,174,178],"computer":[28],"point":[29],"of":[30,35,45,57,62,67,85,94,138,173,177],"view,":[31],"basic":[33],"to":[39,70,134],"slice":[40],"scan":[42],"each":[43],"part":[44],"model.":[48],"The":[49,141],"slicing":[50,58,68,77,106,160],"algorithm":[51,78,107],"directly":[53],"affects":[54],"speed":[56],"effect":[61],"post-printing,":[63],"result":[66],"needs":[69],"be":[71],"optimized.":[72],"This":[73,101],"paper":[74,102,157],"analyzes":[75],"partition":[80,125],"scanning":[81,126],"strategy":[82],"related":[83],"technologies":[84],"models":[88,95],"solves":[90],"practical":[92],"problems":[93],"process.":[100],"first":[103],"studies":[104],"process,":[112],"then":[113],"obtains":[114],"intercepts":[116],"cross-sectional":[118],"contour,":[119],"finally":[121],"performs":[122],"mosaic":[123],"on":[127],"sliced":[129],"polygon,":[130],"uses":[132],"experiments":[133],"verify":[135],"effectiveness":[137],"research.":[140],"experimental":[142],"results":[143],"show":[144],"compared":[146],"other":[148],"methods,":[151],"method":[154],"this":[156],"reduces":[158],"time":[161],"by":[162],"23.61%,":[163],"fitting":[166],"error":[167],"range":[168,172],"fluctuation":[171],"residual":[175],"height":[176],"fusion":[179],"volume":[180],"are":[181],"smaller.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}