{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T19:14:50Z","timestamp":1769109290308,"version":"3.49.0"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T00:00:00Z","timestamp":1632787200000},"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":["J Intell Manuf"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s10845-021-01836-6","type":"journal-article","created":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T08:25:25Z","timestamp":1632817525000},"page":"1085-1103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Probabilistic predictive control of porosity in laser powder bed fusion"],"prefix":"10.1007","volume":"34","author":[{"given":"Paromita","family":"Nath","sequence":"first","affiliation":[]},{"given":"Sankaran","family":"Mahadevan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,28]]},"reference":[{"issue":"3","key":"1836_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/s11465-013-0248-8","volume":"8","author":"N Guo","year":"2013","unstructured":"Guo, N., & Leu, M. C. (2013). Additive manufacturing: Technology, applications and research needs. Frontiers of Mechanical Engineering, 8(3), 215\u2013243.","journal-title":"Frontiers of Mechanical Engineering"},{"key":"1836_CR2","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.jmatprotec.2017.05.042","volume":"249","author":"E Liverani","year":"2017","unstructured":"Liverani, E., Toschi, S., Ceschini, L., & Fortunato, A. (2017). Effect of selective laser melting (SLM) process parameters on microstructure and mechanical properties of 316L austenitic stainless steel. Journal of Materials Processing Technology, 249, 255\u2013263.","journal-title":"Journal of Materials Processing Technology"},{"issue":"8","key":"1836_CR3","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1179\/1743284714Y.0000000702","volume":"31","author":"K Kempen","year":"2015","unstructured":"Kempen, K., Thijs, L., Van Humbeeck, J., & Kruth, J. P. (2015). Processing AlSi10Mg by selective laser melting: Parameter optimisation and material characterisation. Materials Science and Technology, 31(8), 917\u2013923.","journal-title":"Materials Science and Technology"},{"issue":"1","key":"1836_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.3390\/jmmp1010003","volume":"1","author":"B de La Batut","year":"2017","unstructured":"de La Batut, B., Fergani, O., Brotan, V., Bambach, M., & El Mansouri, M. (2017). Analytical and numerical temperature prediction in direct metal deposition of Ti6Al4V. Journal of Manufacturing and Materials Processing, 1(1), 3.","journal-title":"Journal of Manufacturing and Materials Processing"},{"key":"1836_CR5","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.phpro.2016.08.004","volume":"83","author":"P Laakso","year":"2016","unstructured":"Laakso, P., Riipinen, T., Laukkanen, A., Andersson, T., Jokinen, A., Revuelta, A., & Ruusuvuori, K. (2016). Optimization and simulation of SLM process for high density H13 tool steel parts. Physics Procedia, 83, 26\u201335.","journal-title":"Physics Procedia"},{"issue":"5\u20138","key":"1836_CR6","doi-asserted-by":"publisher","first-page":"2855","DOI":"10.1007\/s00170-017-0703-5","volume":"93","author":"Z Hu","year":"2017","unstructured":"Hu, Z., & Mahadevan, S. (2017). Uncertainty quantification and management in additive manufacturing: Current status, needs, and opportunities. The International Journal of Advanced Manufacturing Technology, 93(5\u20138), 2855\u20132874.","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"1836_CR7","doi-asserted-by":"crossref","unstructured":"Nath, P., Hu, Z., & Mahadevan, S. (2019). Uncertainty quantification of grain morphology in laser direct metal deposition. Modelling and Simulation in Materials Science and Engineering, 27(4), 044003.","DOI":"10.1088\/1361-651X\/ab1676"},{"issue":"3","key":"1836_CR8","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1007\/s40192-018-0113-z","volume":"7","author":"M Mahmoudi","year":"2018","unstructured":"Mahmoudi, M., Tapia, G., Karayagiz, K., Franco, B., Ma, J., Arroyave, R., Karaman, I., & Elwany, A. (2018). Multivariate calibration and experimental validation of a 3D finite element thermal model for laser powder bed fusion metal additive manufacturing. Integrating Materials and Manufacturing Innovation, 7(3), 116\u2013135.","journal-title":"Integrating Materials and Manufacturing Innovation"},{"key":"1836_CR9","doi-asserted-by":"crossref","unstructured":"Nath, P., Olson, J. D., Mahadevan, S., & Lee, Y. T. T. (2020). Optimization of fused filament fabrication process parameters under uncertainty to maximize part geometry accuracy. Additive Manufacturing, 101331,","DOI":"10.1016\/j.addma.2020.101331"},{"key":"1836_CR10","doi-asserted-by":"crossref","unstructured":"Wang, Z., Liu, P., Xiao, Y., Cui, X., Hu, Z., & Chen, L. (2019). A data-driven approach for process optimization of metallic additive manufacturing under uncertainty. Journal of Manufacturing Science and Engineering, 141(8)","DOI":"10.1115\/1.4043798"},{"issue":"2","key":"1836_CR11","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/s40192-019-00133-8","volume":"8","author":"M Megahed","year":"2019","unstructured":"Megahed, M., Mindt, H. W., Willems, J., Dionne, P., Jacquemetton, L., Craig, J., Ranade, P., & Peralta, A. (2019). LPBF right the first time: The right mix between modeling and experiments. Integrating Materials and Manufacturing Innovation, 8(2), 194\u2013216.","journal-title":"Integrating Materials and Manufacturing Innovation"},{"issue":"2","key":"1836_CR12","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1108\/RPJ-12-2014-0177","volume":"21","author":"EW Reutzel","year":"2015","unstructured":"Reutzel, E. W., & Nassar, A. R. (2015). A survey of sensing and control systems for machine and process monitoring of directed-energy, metal-based additive manufacturing. Rapid Prototyping Journal, 21(2), 159\u2013167.","journal-title":"Rapid Prototyping Journal"},{"issue":"3","key":"1836_CR13","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1108\/RPJ-03-2017-0048","volume":"24","author":"H Kim","year":"2018","unstructured":"Kim, H., Lin, Y., & Tseng, T. L. B. (2018). A review on quality control in additive manufacturing. Rapid Prototyping Journal, 24(3), 645\u2013669.","journal-title":"Rapid Prototyping Journal"},{"key":"1836_CR14","unstructured":"Judalet, N., Kazak\u00e7i, A., Le\u00a0Gouguec, E., & Balvay, A., et\u00a0al. (2017). Performance monitoring and control for an additive manufacturing factory-a case study in the aerospace industry. In DS 87-5 Proceedings of the 21st International Conference on Engineering Design (ICED 17), vol 5: Design for X, Design to X, Vancouver, Canada, 21-25.08. 2017, pp. 249\u2013258"},{"issue":"1","key":"1836_CR15","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1122\/1.5054648","volume":"63","author":"TJ Coogan","year":"2019","unstructured":"Coogan, T. J., & Kazmer, D. O. (2019). In-line rheological monitoring of fused deposition modeling. Journal of Rheology, 63(1), 141\u2013155.","journal-title":"Journal of Rheology"},{"key":"1836_CR16","doi-asserted-by":"crossref","unstructured":"Mazzoleni, L., Demir, A. G., Caprio, L., Pacher, M., & Previtali, B. (2019). Real-time observation of melt pool in selective laser melting: Spatial, temporal and wavelength resolution criteria. IEEE Transactions on Instrumentation and Measurement.","DOI":"10.1109\/TIM.2019.2912236"},{"key":"1836_CR17","doi-asserted-by":"crossref","unstructured":"Gaikwad, A., Imani, F., Rao, P., Yang, H., & Reutzel, E. (2019). Design rules and in-situ quality monitoring of thin-wall features made using laser powder bed fusion (Vol. 58745, p. V001T01A039). American Society of Mechanical Engineers.","DOI":"10.1115\/MSEC2019-3035"},{"issue":"1\u20134","key":"1836_CR18","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s00170-011-3395-2","volume":"58","author":"L Song","year":"2012","unstructured":"Song, L., Bagavath-Singh, V., Dutta, B., & Mazumder, J. (2012). Control of melt pool temperature and deposition height during direct metal deposition process. The International Journal of Advanced Manufacturing Technology, 58(1\u20134), 247\u2013256.","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"1836_CR19","doi-asserted-by":"crossref","unstructured":"Wang, Q., Li, J., Nassar, A. R., Reutzel, E. W., & Mitchell, W. (2018). Build height control in directed energy deposition using a model-based feed-forward controller. In: Dynamic Systems and Control Conference, vol. 51906, p. V002T23A003. American Society of Mechanical Engineers (2018)","DOI":"10.1115\/DSCC2018-9058"},{"key":"1836_CR20","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.addma.2016.05.002","volume":"12","author":"J Lee","year":"2016","unstructured":"Lee, J., & Prabhu, V. (2016). Simulation modeling for optimal control of additive manufacturing processes. Additive Manufacturing, 12, 197\u2013203.","journal-title":"Additive Manufacturing"},{"key":"1836_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.addma.2016.12.001","volume":"14","author":"M Tang","year":"2017","unstructured":"Tang, M., Pistorius, P. C., & Beuth, J. L. (2017). Prediction of lack-of-fusion porosity for powder bed fusion. Additive Manufacturing, 14, 39\u201348.","journal-title":"Additive Manufacturing"},{"key":"1836_CR22","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1016\/j.addma.2018.05.042","volume":"22","author":"G Vastola","year":"2018","unstructured":"Vastola, G., Pei, Q., & Zhang, Y. W. (2018). Predictive model for porosity in powder-bed fusion additive manufacturing at high beam energy regime. Additive Manufacturing, 22, 817\u2013822.","journal-title":"Additive Manufacturing"},{"issue":"1","key":"1836_CR23","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1038\/s41467-019-10009-2","volume":"10","author":"AA Martin","year":"2019","unstructured":"Martin, A. A., Calta, N. P., Khairallah, S. A., Wang, J., Depond, P. J., Fong, A. Y., Thampy, V., Guss, G. M., Kiss, A. M., Stone, K. H., et al. (2019). Dynamics of pore formation during laser powder bed fusion additive manufacturing. Nature Communications, 10(1), 1987.","journal-title":"Nature Communications"},{"key":"1836_CR24","doi-asserted-by":"crossref","unstructured":"Bayat, M., Thanki, A., Mohanty, S., Witvrouw, A., Yang, S., Thorborg, J., Tiedje, N. S., & Hattel, J. H. (2019). Keyhole-induced porosities in laser-based powder bed fusion (L-PBF) of Ti6Al4V: High-fidelity modelling and experimental validation. Additive Manufacturing, 30, 100835.","DOI":"10.1016\/j.addma.2019.100835"},{"key":"1836_CR25","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.ijheatmasstransfer.2019.05.003","volume":"139","author":"M Bayat","year":"2019","unstructured":"Bayat, M., Mohanty, S., & Hattel, J. H. (2019). Multiphysics modelling of lack-of-fusion voids formation and evolution in IN718 made by multi-track\/multi-layer L-PBF. International Journal of Heat and Mass Transfer, 139, 95\u2013114.","journal-title":"International Journal of Heat and Mass Transfer"},{"key":"1836_CR26","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.matdes.2018.06.037","volume":"156","author":"C Bruna-Rosso","year":"2018","unstructured":"Bruna-Rosso, C., Demir, A. G., & Previtali, B. (2018). Selective laser melting finite element modeling: Validation with high-speed imaging and lack of fusion defects prediction. Materials & Design, 156, 143\u2013153.","journal-title":"Materials & Design"},{"key":"1836_CR27","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.addma.2018.03.022","volume":"21","author":"Z Luo","year":"2018","unstructured":"Luo, Z., & Zhao, Y. (2018). A survey of finite element analysis of temperature and thermal stress fields in powder bed fusion additive manufacturing. Additive Manufacturing, 21, 318\u2013332.","journal-title":"Additive Manufacturing"},{"key":"1836_CR28","doi-asserted-by":"crossref","unstructured":"Reddy, J. N., & Gartling, D. K. (2010). The finite element method in heat transfer and fluid dynamics. CRC Press.","DOI":"10.1201\/9781439882573"},{"key":"1836_CR29","unstructured":"Fu, C., & Guo, Y. (2014). 3-dimensional finite element modeling of selective laser melting Ti-6Al- 4V alloy. In 25th Annual international solid freeform fabrication symposium, pp. 774\u2013784 (2014)"},{"key":"1836_CR30","unstructured":"Hibbitt, K. (2001). Sorensen: ABAQUS\/Standard User\u2019s Manual (Vol. 1). Hibbitt: Karlsson & Sorensen."},{"issue":"9","key":"1836_CR31","doi-asserted-by":"publisher","first-page":"3303","DOI":"10.1016\/j.actamat.2010.02.004","volume":"58","author":"L Thijs","year":"2010","unstructured":"Thijs, L., Verhaeghe, F., Craeghs, T., Van Humbeeck, J., & Kruth, J. P. (2010). A study of the microstructural evolution during selective laser melting of Ti\u20136Al\u20134V. Acta Materialia, 58(9), 3303\u20133312.","journal-title":"Acta Materialia"},{"key":"1836_CR32","unstructured":"Lophaven, S. N., Nielsen, H. B., & S\u00f8ndergaard, J. (Citeseer (2002)). DACE: a Matlab Kriging toolbox, 2."},{"key":"1836_CR33","doi-asserted-by":"crossref","unstructured":"Kennedy, M. C., & O\u2019Hagan, A. (2001). Bayesian calibration of computer models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(3), 425\u2013464.","DOI":"10.1111\/1467-9868.00294"},{"key":"1836_CR34","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.jcp.2014.08.005","volume":"276","author":"Y Ling","year":"2014","unstructured":"Ling, Y., Mullins, J., & Mahadevan, S. (2014). Selection of model discrepancy priors in Bayesian calibration. Journal of Computational Physics, 276, 665\u2013680.","journal-title":"Journal of Computational Physics"},{"key":"1836_CR35","unstructured":"Gilks, W. R., et al. (2005). Markov chain Monte Carlo. encyclopedia of biostatistics. Advance Online Publication, doi:10(0470011815), b2a14021."},{"key":"1836_CR36","doi-asserted-by":"crossref","unstructured":"Doucet, A., De Freitas, N., & Gordon, N. (2001). An introduction to sequential Monte Carlo methods. Sequential Monte Carlo methods in practice (pp. 3\u201314). Springer.","DOI":"10.1007\/978-1-4757-3437-9_1"},{"issue":"2","key":"1836_CR37","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"MS Arulampalam","year":"2002","unstructured":"Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. (2002). A tutorial on particle filters for online nonlinear\/non-gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 50(2), 174\u2013188.","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"2","key":"1836_CR38","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s00158-016-1532-0","volume":"55","author":"K Zaman","year":"2017","unstructured":"Zaman, K., & Mahadevan, S. (2017). Reliability-based design optimization of multidisciplinary system under aleatory and epistemic uncertainty. Structural and Multidisciplinary Optimization, 55(2), 681\u2013699.","journal-title":"Structural and Multidisciplinary Optimization"},{"issue":"2","key":"1836_CR39","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s00158-011-0622-2","volume":"44","author":"K Zaman","year":"2011","unstructured":"Zaman, K., McDonald, M., Mahadevan, S., & Green, L. (2011). Robustness-based design optimization under data uncertainty. Structural and Multidisciplinary Optimization, 44(2), 183\u2013197.","journal-title":"Structural and Multidisciplinary Optimization"},{"issue":"1","key":"1836_CR40","doi-asserted-by":"publisher","first-page":"181","DOI":"10.2514\/1.13639","volume":"44","author":"GJ Park","year":"2006","unstructured":"Park, G. J., Lee, T. H., Lee, K. H., & Hwang, K. H. (2006). Robust design: An overview. AIAA Journal, 44(1), 181\u2013191.","journal-title":"AIAA Journal"},{"issue":"6","key":"1836_CR41","doi-asserted-by":"publisher","first-page":"2505","DOI":"10.1007\/s10845-018-1412-0","volume":"30","author":"M Aminzadeh","year":"2019","unstructured":"Aminzadeh, M., & Kurfess, T. R. (2019). Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images. Journal of Intelligent Manufacturing, 30(6), 2505\u20132523.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1836_CR42","doi-asserted-by":"crossref","unstructured":"Golub, G. H., & Reinsch, C. (1971). Singular value decomposition and least squares solutions. Linear Algebra (pp. 134\u2013151). Springer.","DOI":"10.1007\/978-3-662-39778-7_10"},{"key":"1836_CR43","unstructured":"Chatterjee, A. (2000). An introduction to the proper orthogonal decomposition. Current Science, 808\u2013817."},{"key":"1836_CR44","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.jmatprotec.2014.07.030","volume":"215","author":"ER Denlinger","year":"2015","unstructured":"Denlinger, E. R., Heigel, J. C., Michaleris, P., & Palmer, T. (2015). Effect of inter-layer dwell time on distortion and residual stress in additive manufacturing of titanium and nickel alloys. Journal of Materials Processing Technology, 215, 123\u2013131.","journal-title":"Journal of Materials Processing Technology"},{"key":"1836_CR45","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.jmatprotec.2018.08.041","volume":"264","author":"NA Kistler","year":"2019","unstructured":"Kistler, N. A., Corbin, D. J., Nassar, A. R., Reutzel, E. W., & Beese, A. M. (2019). Effect of processing conditions on the microstructure, porosity, and mechanical properties of Ti\u20136Al\u20134V repair fabricated by directed energy deposition. Journal of Materials Processing Technology, 264, 172\u2013181.","journal-title":"Journal of Materials Processing Technology"},{"key":"1836_CR46","doi-asserted-by":"crossref","unstructured":"Mohr, G., Altenburg, S. J., & Hilgenberg, K. (2020). Effects of inter layer time and build height on resulting properties of 316L stainless steel processed by laser powder bed fusion. Additive Manufacturing, 32, 101080.","DOI":"10.1016\/j.addma.2020.101080"},{"key":"1836_CR47","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.addma.2014.08.002","volume":"1","author":"H Gong","year":"2014","unstructured":"Gong, H., Rafi, K., Gu, H., Starr, T., & Stucker, B. (2014). Analysis of defect generation in Ti\u20136Al\u20134V parts made using powder bed fusion additive manufacturing processes. Additive Manufacturing, 1, 87\u201398.","journal-title":"Additive Manufacturing"},{"issue":"11","key":"1836_CR48","doi-asserted-by":"publisher","first-page":"4050","DOI":"10.1007\/s11837-019-03385-z","volume":"71","author":"S Morankar","year":"2019","unstructured":"Morankar, S., Mandal, M., Kourra, N., Williams, M. A., Mitra, R., & Srirangam, P. (2019). X-ray tomography study on porosity and particle size distribution in in situ Al-4.5 Cu-5TiB$$_2$$ semisolid rolled composites. JOM, 71(11), 4050\u20134058.","journal-title":"JOM"},{"key":"1836_CR49","doi-asserted-by":"crossref","unstructured":"Kamath, A., Vargas-Hern\u00e1ndez, R. A., Krems, R. V., Carrington, T., Jr., & Manzhos, S. (2018). Neural networks vs gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy. The Journal of Chemical Physics, 148(24), 241702.","DOI":"10.1063\/1.5003074"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-021-01836-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-021-01836-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-021-01836-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T22:16:27Z","timestamp":1676326587000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-021-01836-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,28]]},"references-count":49,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["1836"],"URL":"https:\/\/doi.org\/10.1007\/s10845-021-01836-6","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,28]]},"assertion":[{"value":"18 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}