{"id":"https://openalex.org/W7207747148","doi":"https://doi.org/10.1201/9781003635673-10","title":"Data-Driven Topology Optimization of Additively Manufactured Parts Using Deep Learning","display_name":"Data-Driven Topology Optimization of Additively Manufactured Parts Using Deep Learning","publication_year":2026,"publication_date":"2026-09-03","ids":{"openalex":"https://openalex.org/W7207747148","doi":"https://doi.org/10.1201/9781003635673-10"},"language":"en","primary_location":{"id":"doi:10.1201/9781003635673-10","doi":"https://doi.org/10.1201/9781003635673-10","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003635673-10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Additive Manufacturing","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7207719409","display_name":"Additive Manufacturing"},"type":"book-chapter","is_traditional":true,"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/A5149928486","display_name":"Sathiesh Veera","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sathiesh Veera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016456268","display_name":"Sagar Vishnurao Wankhede","orcid":"https://orcid.org/0000-0002-2341-3110","observed_orcids":["https://orcid.org/0000-0002-2341-3110"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sagar Wankhede","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113419977","display_name":"Akash Abaji Kadam","orcid":"https://orcid.org/0009-0003-3870-9525","observed_orcids":["https://orcid.org/0009-0003-3870-9525"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akash Abaji Kadam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89016131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11115","display_name":"Topology Optimization in Engineering","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.014000000432133675,"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/T10707","display_name":"Cellular and Composite Structures","score":0.0005000000237487257,"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/topology-optimization","display_name":"topology optimization","score":0.9900000095367432},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.8399999737739563},{"id":"https://openalex.org/keywords/build-orientation","display_name":"build orientation","score":0.8059999942779541},{"id":"https://openalex.org/keywords/support-structures","display_name":"support structures","score":0.9470000267028809},{"id":"https://openalex.org/keywords/layer-deposition","display_name":"layer deposition","score":0.652999997138977},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.7570000290870667},{"id":"https://openalex.org/keywords/neural-network-surrogate-model","display_name":"neural network surrogate model","score":0.8109999895095825},{"id":"https://openalex.org/keywords/industry-5-0","display_name":"Industry 5.0","score":0.8619999885559082},{"id":"https://openalex.org/keywords/aerospace-design","display_name":"aerospace design","score":0.421999990940094},{"id":"https://openalex.org/keywords/automotive-design","display_name":"automotive design","score":0.8939999938011169}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7192000150680542},{"id":"https://openalex.org/C189216461","wikidata":"https://www.wikidata.org/wiki/Q2443456","display_name":"Topology optimization","level":3,"score":0.6988999843597412},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6858999729156494},{"id":"https://openalex.org/C62064638","wikidata":"https://www.wikidata.org/wiki/Q553878","display_name":"Design for manufacturability","level":2,"score":0.6589999794960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434000134468079},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5616000294685364},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596000015735626},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40299999713897705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3028999865055084},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2946999967098236},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C524769229","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3D printing","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C2780329122","wikidata":"https://www.wikidata.org/wiki/Q18349149","display_name":"Fused deposition modeling","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003635673-10","doi":"https://doi.org/10.1201/9781003635673-10","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003635673-10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Additive Manufacturing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4383648052","https://openalex.org/W4285247465","https://openalex.org/W2904556359","https://openalex.org/W4406336266","https://openalex.org/W4403027038","https://openalex.org/W3184715936","https://openalex.org/W4400609021","https://openalex.org/W2965489878","https://openalex.org/W7134520281","https://openalex.org/W3158938058"],"abstract_inverted_index":{"Additive":[0],"manufacturing":[1,23,61,101],"has":[2],"enabled":[3],"a":[4,68,85,89,192],"radical":[5],"change":[6],"in":[7,21,36,40,112,138,157,204],"the":[8,27,76,121,154,158,169,180,188,205],"design":[9,34,185,231],"environment":[10],"by":[11,145],"enabling":[12],"complex":[13],"designs":[14,124,148],"and":[15,56,99,132,163,175,201],"material":[16],"efficiency":[17],"that":[18,44,91,106,119,136,215,233],"were":[19],"unachievable":[20],"existing":[22],"processes.":[24],"For":[25],"realizing":[26],"full":[28],"potential":[29],"of":[30,71,79,88,123,153,165,172,207],"additive":[31,100],"manufacturing,":[32],"novel":[33],"philosophies":[35],"structural":[37],"design,":[38],"particularly":[39],"topology":[41,50,72,220],"optimization,":[42],"recognize":[43],"an":[45,223,228],"old-fashioned":[46],"algorithmic":[47],"approach":[48,190,232],"to":[49,102,126,191,227],"optimization":[51,73,221],"algorithms":[52],"being":[53],"computationally":[54],"intensive":[55],"often":[57],"disparate":[58],"from":[59,94,222,235],"practical":[60],"constraints.":[62],"In":[63,178],"this":[64],"paper,":[65],"we":[66],"propose":[67],"data-driven":[69,230],"concept":[70,193,212],"based":[74],"on":[75,160],"predictive":[77],"capabilities":[78],"deep":[80,216],"learning.":[81],"The":[82,114,140,151,210],"article":[83],"offers":[84],"theoretical":[86],"model":[87,115,141,182],"workflow":[90],"uses":[92],"data":[93],"simulations,":[95],"digital":[96],"twin":[97],"models,":[98],"create":[103],"neural":[104],"models":[105],"can":[107],"spit":[108],"out":[109],"optimized":[110],"solutions":[111,144,166],"real-time.":[113],"contains":[116],"manufacturability":[117],"awareness":[118],"helps":[120],"outputs":[122],"conform":[125],"build":[127],"orientation,":[128],"support":[129],"structure":[130],"requirement,":[131],"layer":[133],"deposition":[134],"limitations":[135],"exist":[137],"AM.":[139],"promotes":[142],"printable":[143],"addressing":[146],"real-world":[147],"without":[149],"post-processing.":[150],"particularity":[152],"discourse":[155],"resides":[156],"emphasis":[159],"scalability,":[161],"sustainability,":[162],"flexibility":[164],"intended":[167],"for":[168],"industrial":[170],"processing":[171],"aerospace,":[173],"automotive,":[174],"biomedical":[176],"manufacturing.":[177],"addition,":[179],"proposed":[181],"promises":[183],"accelerated":[184],"cycles,":[186],"whereas":[187],"new":[189],"framework":[194,206],"also":[195],"foresees":[196],"collaboration":[197],"between":[198],"human":[199],"resources":[200],"artificial":[202],"intelligence":[203],"Industry":[208],"5.0.":[209],"above-mentioned":[211],"analysis":[213],"shows":[214],"learning":[217],"is":[218],"remapping":[219],"iterative":[224],"computation":[225],"procedure":[226],"intelligent":[229],"learns":[234],"experience.":[236]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-09-04T00:00:00"}
