{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T02:45:37Z","timestamp":1775616337931,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T00:00:00Z","timestamp":1724371200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T00:00:00Z","timestamp":1724371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s10489-024-05757-8","type":"journal-article","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T21:15:48Z","timestamp":1724447748000},"page":"11472-11483","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Knowledge graph network-driven process reasoning for laser metal additive manufacturing based on relation mining"],"prefix":"10.1007","volume":"54","author":[{"given":"Changri","family":"Xiong","sequence":"first","affiliation":[]},{"given":"Jinhua","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Zhuangyu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Wenlei","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,23]]},"reference":[{"key":"5757_CR1","doi-asserted-by":"publisher","unstructured":"Gibson I, Rosen DW, Stucker B (2010) Additive Manufacturing Technologies. Addit Manufact Technol p 17\u201340 https:\/\/doi.org\/10.1007\/978-1-4419-1120-9","DOI":"10.1007\/978-1-4419-1120-9"},{"issue":"4","key":"5757_CR2","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1108\/13552541211231563","volume":"18","author":"I Campbell","year":"2012","unstructured":"Campbell I, Bourell D, Gibson I (2012) Additive manufacturing: rapid prototyping comes of age. Rapid Prototyp J 18(4):255\u2013258. https:\/\/doi.org\/10.1108\/13552541211231563","journal-title":"Rapid Prototyp J"},{"issue":"2","key":"5757_CR3","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.addma.2014.10.004","volume":"5","author":"DB Kim","year":"2015","unstructured":"Kim DB, Witherell P, Lipman R, Feng SC (2015) Streamlining the additive manufacturing digital spectrum: A systems approach. Addit Manuf 5(2):20\u201330. https:\/\/doi.org\/10.1016\/j.addma.2014.10.004","journal-title":"Addit Manuf"},{"key":"5757_CR4","doi-asserted-by":"publisher","unstructured":"Jawade SA, Joshi RS, Desai SB (2019) Comparative study of mechanical properties of additively manufactured aluminum alloy, in Materials Today: Proceedings, Elsevier Ltd, p 9270\u20139274. https:\/\/doi.org\/10.1016\/j.matpr.2020.02.096","DOI":"10.1016\/j.matpr.2020.02.096"},{"issue":"5","key":"5757_CR5","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1002\/mawe.201700239","volume":"49","author":"L Hitzler","year":"2018","unstructured":"Hitzler L, Schoch N, Heine B, Merkel M, Hall W, \u00d6chsner A (2018) Compressive behaviour of additively manufactured AlSi10Mg. Materwiss Werksttech 49(5):683\u2013688. https:\/\/doi.org\/10.1002\/mawe.201700239","journal-title":"Materwiss Werksttech"},{"key":"5757_CR6","doi-asserted-by":"publisher","unstructured":"Xu Z, Liu A, Wang X (2021) Fatigue performance and crack propagation behavior of selective laser melted AlSi10Mg in 0\u00b0, 15\u00b0, 45\u00b0 and 90\u00b0 building directions. Mater Sci Eng A 812. https:\/\/doi.org\/10.1016\/j.msea.2021.141141","DOI":"10.1016\/j.msea.2021.141141"},{"key":"5757_CR7","doi-asserted-by":"publisher","unstructured":"Chen J, Hou W, Wang X, Chu S, Yang Z (2020) Microstructure, porosity and mechanical properties of selective laser melted AlSi10Mg. Chinese J Aeronautics https:\/\/doi.org\/10.1016\/j.cja.2019.08.017","DOI":"10.1016\/j.cja.2019.08.017"},{"issue":"5","key":"5757_CR8","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1108\/RPJ-07-2018-0184","volume":"26","author":"H Wu","year":"2020","unstructured":"Wu H, Li J, Wei Z, Wei P (2020) Effect of processing parameters on forming defects during selective laser melting of AlSi10Mg powder. Rapid Prototyp J 26(5):871\u2013879. https:\/\/doi.org\/10.1108\/RPJ-07-2018-0184","journal-title":"Rapid Prototyp J"},{"issue":"August","key":"5757_CR9","first-page":"1259","volume":"2014","author":"Y Zhang","year":"2014","unstructured":"Zhang Y, Bernard A (2014) AM feature and knowledge based process planning for additive manufacturing in multiple parts production context, 25th Annual International Solid Freeform Fabrication Symposium & #65533. An Additive Manufacturing Conference, SFF 2014(August):1259\u20131276","journal-title":"An Additive Manufacturing Conference, SFF"},{"key":"5757_CR10","doi-asserted-by":"publisher","first-page":"105538","DOI":"10.1016\/J.MTCOMM.2023.105538","volume":"35","author":"R Nandhakumar","year":"2023","unstructured":"Nandhakumar R, Venkatesan K (2023) A process parameters review on selective laser melting-based additive manufacturing of single and multi-material: Microstructure, physical properties, tribological, and surface roughness. Mater Today Commun 35:105538. https:\/\/doi.org\/10.1016\/J.MTCOMM.2023.105538","journal-title":"Mater Today Commun"},{"issue":"2","key":"5757_CR11","doi-asserted-by":"publisher","first-page":"021006","DOI":"10.1115\/1.4001122","volume":"132","author":"L Ren","year":"2010","unstructured":"Ren L, Sparks T, Ruan J, Liou F (2010) Integrated Process Planning for a Multiaxis Hybrid Manufacturing System. J Manuf Sci Eng 132(2):021006. https:\/\/doi.org\/10.1115\/1.4001122","journal-title":"J Manuf Sci Eng"},{"issue":"18","key":"5757_CR12","doi-asserted-by":"publisher","first-page":"3855","DOI":"10.1080\/00207540500032160","volume":"43","author":"D KingslyJebaSingh","year":"2005","unstructured":"KingslyJebaSingh D, Jebaraj C (2005) Feature-based design for process planning of machining processes with optimization using genetic algorithms. Int J Prod Res 43(18):3855\u20133887. https:\/\/doi.org\/10.1080\/00207540500032160","journal-title":"Int J Prod Res"},{"issue":"12","key":"5757_CR13","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1016\/S0010-4485(02)00182-3","volume":"35","author":"SC Park","year":"2003","unstructured":"Park SC (2003) Knowledge capturing methodology in process planning. CAD Computer Aided Design 35(12):1109\u20131117. https:\/\/doi.org\/10.1016\/S0010-4485(02)00182-3","journal-title":"CAD Computer Aided Design"},{"key":"5757_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00170-016-8791-1","volume":"May","author":"J Um","year":"2016","unstructured":"Um J, Rauch M, Hasco\u00ebt JY, Stroud I (2016) STEP-NC compliant process planning of additive manufacturing: remanufacturing. Int J Adv Manufact Technol May:1\u201316. https:\/\/doi.org\/10.1007\/s00170-016-8791-1","journal-title":"Int J Adv Manufact Technol"},{"key":"5757_CR15","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/J.JMAPRO.2021.03.038","volume":"65","author":"Z Yu","year":"2021","unstructured":"Yu Z, Ding D, Pan Z, Li H, Lu Q, Fang X (2021) A strut-based process planning method for wire arc additive manufacturing of lattice structures. J Manuf Process 65:283\u2013298. https:\/\/doi.org\/10.1016\/J.JMAPRO.2021.03.038","journal-title":"J Manuf Process"},{"key":"5757_CR16","doi-asserted-by":"publisher","first-page":"101135","DOI":"10.1016\/J.AEI.2020.101135","volume":"45","author":"Y Xiong","year":"2020","unstructured":"Xiong Y, Dharmawan AG, Tang Y, Foong S, Soh GS, Rosen DW (2020) A knowledge-based process planning framework for wire arc additive manufacturing. Adv Eng Inform 45:101135. https:\/\/doi.org\/10.1016\/J.AEI.2020.101135","journal-title":"Adv Eng Inform"},{"key":"5757_CR17","doi-asserted-by":"publisher","first-page":"102364","DOI":"10.1016\/J.AEI.2024.102364","volume":"60","author":"A Haruna","year":"2024","unstructured":"Haruna A, Yang M, Jiang P, Ren H (2024) Collaborative task of entity and relation recognition for developing a knowledge graph to support knowledge reasoning for design for additive manufacturing. Adv Eng Inform 60:102364. https:\/\/doi.org\/10.1016\/J.AEI.2024.102364","journal-title":"Adv Eng Inform"},{"issue":"1","key":"5757_CR18","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TNNLS.2020.2978386","volume":"32","author":"Z Wu","year":"2021","unstructured":"Wu Z, Pan S, Chen F, Long G, Zhang C, Yu PS (2021) A Comprehensive Survey on Graph Neural Networks. IEEE Trans Neural Netw Learn Syst 32(1):4\u201324. https:\/\/doi.org\/10.1109\/TNNLS.2020.2978386","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"5757_CR19","doi-asserted-by":"publisher","unstructured":"Zhou Y, Zheng H, Huang X, Hao S, Li D, Zhao J (2022) Graph Neural Networks: Taxonomy, Advances, and Trends. Assoc Comput Mach. https:\/\/doi.org\/10.1145\/3495161","DOI":"10.1145\/3495161"},{"key":"5757_CR20","doi-asserted-by":"publisher","first-page":"886","DOI":"10.1016\/j.jmsy.2021.11.008","volume":"62","author":"V Leonhardt","year":"2022","unstructured":"Leonhardt V, Claus F, Garth C (2022) PEN: Process Estimator neural Network for root cause analysis using graph convolution. J Manuf Syst 62:886\u2013902. https:\/\/doi.org\/10.1016\/j.jmsy.2021.11.008","journal-title":"J Manuf Syst"},{"issue":"2","key":"5757_CR21","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1109\/TII.2021.3076803","volume":"18","author":"D Zhang","year":"2022","unstructured":"Zhang D, Liu Z, Jia W, Liu H, Tan J (2022) Path Enhanced Bidirectional Graph Attention Network for Quality Prediction in Multistage Manufacturing Process. IEEE Trans Industr Inform 18(2):1018\u20131027. https:\/\/doi.org\/10.1109\/TII.2021.3076803","journal-title":"IEEE Trans Industr Inform"},{"key":"5757_CR22","doi-asserted-by":"publisher","unstructured":"Mozaffar M, Liao S, Lin H, Ehmann K, Cao J (2021) Geometry-agnostic data-driven thermal modeling of additive manufacturing processes using graph neural networks. Addit Manuf 48. https:\/\/doi.org\/10.1016\/j.addma.2021.102449","DOI":"10.1016\/j.addma.2021.102449"},{"key":"5757_CR23","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.jmsy.2022.05.018","volume":"64","author":"J Huang","year":"2022","unstructured":"Huang J, Su J, Chang Q (2022) Graph neural network and multi-agent reinforcement learning for machine-process-system integrated control to optimize production yield. J Manuf Syst 64:81\u201393. https:\/\/doi.org\/10.1016\/j.jmsy.2022.05.018","journal-title":"J Manuf Syst"},{"key":"5757_CR24","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/j.jmapro.2022.10.075","volume":"85","author":"PY Wang","year":"2023","unstructured":"Wang PY, Yang WA, You YP (2023) A hybrid learning framework for manufacturing feature recognition using graph neural networks. J Manuf Process 85:387\u2013404. https:\/\/doi.org\/10.1016\/j.jmapro.2022.10.075","journal-title":"J Manuf Process"},{"key":"5757_CR25","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.jmsy.2023.01.010","volume":"67","author":"X Lai","year":"2023","unstructured":"Lai X, Qiu T, Shui H, Ding D, Ni J (2023) Predicting future production system bottlenecks with a graph neural network approach. J Manuf Syst 67:201\u2013212. https:\/\/doi.org\/10.1016\/j.jmsy.2023.01.010","journal-title":"J Manuf Syst"},{"key":"5757_CR26","doi-asserted-by":"publisher","unstructured":"Zhang Y, Yao Q (2022) Knowledge Graph Reasoning with Relational Digraph, in WWW 2022 - Proceedings of the ACM Web Conference 2022, Association for Computing Machinery, Inc, p 912\u2013924. https:\/\/doi.org\/10.1145\/3485447.3512008","DOI":"10.1145\/3485447.3512008"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05757-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-024-05757-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-024-05757-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T15:25:22Z","timestamp":1726673122000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-024-05757-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,23]]},"references-count":26,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["5757"],"URL":"https:\/\/doi.org\/10.1007\/s10489-024-05757-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,23]]},"assertion":[{"value":"7 August 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We declare that we have no financial or personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and\/or company that could be constructed as influencing the position presented in, or the review of, the manuscript entitled.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical and informed consent for data used"}}]}}