{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:39:57Z","timestamp":1753922397541,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T00:00:00Z","timestamp":1583971200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T00:00:00Z","timestamp":1583971200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s12650-020-00634-1","type":"journal-article","created":{"date-parts":[[2020,3,12]],"date-time":"2020-03-12T16:03:29Z","timestamp":1584029009000},"page":"377-381","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Visualization of dispersed phase in the carrier phase with lattice Boltzmann method through high- and low-resolution observations"],"prefix":"10.1007","volume":"23","author":[{"given":"Nan","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Erlin","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Narjes","family":"Nabipour","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3620-9837","authenticated-orcid":false,"given":"Arman","family":"Safdari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,12]]},"reference":[{"key":"634_CR1","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.jobe.2017.08.008","volume":"13","author":"SF Ardabili","year":"2017","unstructured":"Ardabili SF, Najafi B, Ghaebi H, Shamshirband S, Mostafaeipour A (2017) A novel enhanced exergy method in analyzing HVAC system using soft computing approaches: a case study on mushroom growing hall. J Build Eng 13:309\u2013318. https:\/\/doi.org\/10.1016\/j.jobe.2017.08.008","journal-title":"J Build Eng"},{"key":"634_CR2","first-page":"58","volume":"8","author":"CSN Azwadi","year":"2013","unstructured":"Azwadi CSN, Razzaghian M, Pourtousi M, Safdari A (2013) Numerical prediction of free convection in an open ended enclosure using lattice Boltzmann numerical method. Int J Mech Mater Eng 8:58\u201362","journal-title":"Int J Mech Mater Eng"},{"key":"634_CR3","doi-asserted-by":"publisher","first-page":"1860","DOI":"10.1016\/j.apm.2012.04.048","volume":"37","author":"J Bao","year":"2013","unstructured":"Bao J, Schaefer L (2013) Lattice Boltzmann equation model for multi-component multi-phase flow with high density ratios. Appl Math Model 37:1860\u20131871. https:\/\/doi.org\/10.1016\/j.apm.2012.04.048","journal-title":"Appl Math Model"},{"key":"634_CR4","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.jcis.2005.12.017","volume":"298","author":"IB Bazhlekov","year":"2006","unstructured":"Bazhlekov IB, Anderson PD, Meijer HEH (2006) Numerical investigation of the effect of insoluble surfactants on drop deformation and breakup in simple shear flow. J Colloid Interface Sci 298:369\u2013394. https:\/\/doi.org\/10.1016\/j.jcis.2005.12.017","journal-title":"J Colloid Interface Sci"},{"key":"634_CR5","doi-asserted-by":"publisher","first-page":"052002","DOI":"10.1115\/1.4036036","volume":"139","author":"S Bhardwaj","year":"2017","unstructured":"Bhardwaj S, Dalal A (2017) Mesoscopic analysis of dynamic droplet behavior on wetted flat and grooved surface for low viscosity ratio. J Heat Transf 139:052002. https:\/\/doi.org\/10.1115\/1.4036036","journal-title":"J Heat Transf"},{"key":"634_CR6","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1007\/s10409-012-0123-6","volume":"28","author":"ZH Chai","year":"2012","unstructured":"Chai ZH, Zhao TS (2012) A pseudopotential-based multiple-relaxation-time lattice Boltzmann model for multicomponent\/multiphase flows. Acta Mech Sin Xuebao 28:983\u2013992. https:\/\/doi.org\/10.1007\/s10409-012-0123-6","journal-title":"Acta Mech Sin Xuebao"},{"key":"634_CR7","doi-asserted-by":"crossref","unstructured":"Chen S, Doolen GD (1998) Lattice Boltzmann method for fluid flows. www.annualreviews.org. Accessed 5 Aug 2018","DOI":"10.1146\/annurev.fluid.30.1.329"},{"key":"634_CR8","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.ijheatmasstransfer.2014.04.032","volume":"76","author":"L Chen","year":"2014","unstructured":"Chen L, Kang Q, Mu Y, He YL, Tao WQ (2014) A critical review of the pseudopotential multiphase lattice Boltzmann model: methods and applications. Int J Heat Mass Transf 76:210\u2013236. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2014.04.032","journal-title":"Int J Heat Mass Transf"},{"key":"634_CR9","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1016\/j.ijheatmasstransfer.2015.02.035","volume":"85","author":"L Chen","year":"2015","unstructured":"Chen L, Kang Q, Tang Q, Robinson BA, He YL, Tao WQ (2015) Pore-scale simulation of multicomponent multiphase reactive transport with dissolution and precipitation. Int J Heat Mass Transf 85:935\u2013949. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2015.02.035","journal-title":"Int J Heat Mass Transf"},{"key":"634_CR10","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1016\/j.ijheatmasstransfer.2017.03.015","volume":"110","author":"S-T Ding","year":"2017","unstructured":"Ding S-T, Luo B, Li G (2017) A volume of fluid based method for vapor\u2013liquid phase change simulation with numerical oscillation suppression. Int J Heat Mass Transf 110:348\u2013359. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2017.03.015","journal-title":"Int J Heat Mass Transf"},{"key":"634_CR11","doi-asserted-by":"publisher","first-page":"135983","DOI":"10.1016\/J.SCITOTENV.2019.135983","volume":"705","author":"E Dodangeh","year":"2020","unstructured":"Dodangeh E, Choubin B, Eigdir AN, Nabipour N, Panahi M, Shamshirband S, Mosavi A (2020) Integrated machine learning methods with resampling algorithms for flood susceptibility prediction. Sci Total Environ 705:135983. https:\/\/doi.org\/10.1016\/J.SCITOTENV.2019.135983","journal-title":"Sci Total Environ"},{"key":"634_CR12","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/J.CEP.2018.11.012","volume":"135","author":"A Hadane","year":"2019","unstructured":"Hadane A, Khamar L, Benjelloun S, Nounah A (2019) Hydrodynamic study of a phosphate flotation cell by CFD approach. Chem Eng Process Process Intensif 135:190\u2013203. https:\/\/doi.org\/10.1016\/J.CEP.2018.11.012","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR13","doi-asserted-by":"publisher","first-page":"107728","DOI":"10.1016\/J.CEP.2019.107728","volume":"147","author":"M Hettel","year":"2020","unstructured":"Hettel M, Daymo E, Schmidt T, Deutschmann O (2020) CFD-modeling of fluid domains with embedded monoliths with emphasis on automotive converters. Chem Eng Process Process Intensif 147:107728. https:\/\/doi.org\/10.1016\/J.CEP.2019.107728","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR14","doi-asserted-by":"publisher","first-page":"135161","DOI":"10.1016\/J.SCITOTENV.2019.135161","volume":"711","author":"FS Hosseini","year":"2020","unstructured":"Hosseini FS, Choubin B, Mosavi A, Nabipour N, Shamshirband S, Darabi H, Haghighi AT (2020) Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: application of the simulated annealing feature selection method. Sci Total Environ 711:135161. https:\/\/doi.org\/10.1016\/J.SCITOTENV.2019.135161","journal-title":"Sci Total Environ"},{"key":"634_CR15","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.jngse.2018.11.003","volume":"61","author":"P Jelu\u0161i\u010d","year":"2019","unstructured":"Jelu\u0161i\u010d P, Kravanja S, \u017dlender B (2019) Optimal cost and design of an underground gas storage by ANFIS. J Nat Gas Sci Eng 61:142\u2013157. https:\/\/doi.org\/10.1016\/j.jngse.2018.11.003","journal-title":"J Nat Gas Sci Eng"},{"key":"634_CR16","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/J.CEP.2018.11.002","volume":"134","author":"G Jimeno","year":"2018","unstructured":"Jimeno G, Lee YC, Ni X-W (2018) On the evaluation of power density models for oscillatory baffled reactors using CFD. Chem Eng Process Process Intensif 134:153\u2013162. https:\/\/doi.org\/10.1016\/J.CEP.2018.11.002","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR17","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1515\/secm-2014-0230","volume":"23","author":"HM Khanlou","year":"2016","unstructured":"Khanlou HM, Ang BC, Barzani MM (2016) Prediction, modeling and characterization of surface texturing by sulfuric etchant on non-toxic titanium bio-material using artificial neural networks and fuzzy logic systems. Sci Eng Compos Mater 23:423\u2013433. https:\/\/doi.org\/10.1515\/secm-2014-0230","journal-title":"Sci Eng Compos Mater"},{"key":"634_CR18","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/J.CEP.2018.05.008","volume":"129","author":"MS Lavasani","year":"2018","unstructured":"Lavasani MS, Rahimi R, Zivdar M (2018) Hydrodynamic study of different configurations of sieve trays for a dividing wall column by using experimental and CFD methods. Chem Eng Process Process Intensif 129:162\u2013170. https:\/\/doi.org\/10.1016\/J.CEP.2018.05.008","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR19","doi-asserted-by":"publisher","first-page":"5615","DOI":"10.1016\/j.ces.2010.08.014","volume":"65","author":"M Liu","year":"2010","unstructured":"Liu M, Yu Z, Wang T, Wang J, Fan LS (2010) A modified pseudopotential for a lattice Boltzmann simulation of bubbly flow. Chem Eng Sci 65:5615\u20135623. https:\/\/doi.org\/10.1016\/j.ces.2010.08.014","journal-title":"Chem Eng Sci"},{"key":"634_CR20","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.physa.2017.07.013","volume":"489","author":"M Nemati","year":"2018","unstructured":"Nemati M, Shateri Najaf Abady AR, Toghraie D, Karimipour A (2018) Numerical investigation of the pseudopotential lattice Boltzmann modeling of liquid\u2013vapor for multi-phase flows. Phys A Stat Mech Appl 489:65\u201377. https:\/\/doi.org\/10.1016\/j.physa.2017.07.013","journal-title":"Phys A Stat Mech Appl"},{"key":"634_CR21","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.rser.2016.04.028","volume":"62","author":"O Prakash","year":"2016","unstructured":"Prakash O, Laguri V, Pandey A, Kumar A, Kumar A (2016) Review on various modelling techniques for the solar dryers. Renew Sustain Energy Rev 62:396\u2013417. https:\/\/doi.org\/10.1016\/j.rser.2016.04.028","journal-title":"Renew Sustain Energy Rev"},{"key":"634_CR22","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.apsusc.2017.02.242","volume":"409","author":"T Pravinraj","year":"2017","unstructured":"Pravinraj T, Patrikar R (2017) Modelling and investigation of partial wetting surfaces for drop dynamics using lattice Boltzmann method. Appl Surf Sci 409:214\u2013222. https:\/\/doi.org\/10.1016\/j.apsusc.2017.02.242","journal-title":"Appl Surf Sci"},{"key":"634_CR23","doi-asserted-by":"publisher","first-page":"102071","DOI":"10.1016\/j.apgeog.2019.102071","volume":"111","author":"ER Sardooi","year":"2019","unstructured":"Sardooi ER, Azareh A, Choubin B, Barkhori S, Singh VP, Shamshirband S (2019) Applying the remotely sensed data to identify homogeneous regions of watersheds using a pixel-based classification approach. Appl Geogr 111:102071. https:\/\/doi.org\/10.1016\/j.apgeog.2019.102071","journal-title":"Appl Geogr"},{"key":"634_CR24","doi-asserted-by":"publisher","first-page":"1815","DOI":"10.1103\/PhysRevE.47.1815","volume":"47","author":"X Shan","year":"1993","unstructured":"Shan X, Chen H (1993) Lattice Boltzmann model for simulating flows with multi phases and components. Phys Rev E 47:1815\u20131819. https:\/\/doi.org\/10.1103\/PhysRevE.47.1815","journal-title":"Phys Rev E"},{"key":"634_CR25","doi-asserted-by":"publisher","first-page":"107738","DOI":"10.1016\/J.CEP.2019.107738","volume":"147","author":"SD Vlaev","year":"2020","unstructured":"Vlaev SD, Dzhonova-Atanasova D, Tsibranska I (2020) CFD evaluation of mass transfer distribution heterogeneity along the membrane-liquid interface in stirred submerged membrane bioreactors. Chem Eng Process Process Intensif 147:107738. https:\/\/doi.org\/10.1016\/J.CEP.2019.107738","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR26","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/J.CEP.2018.06.018","volume":"130","author":"X Yu","year":"2018","unstructured":"Yu X, Blanco PH, Makkawi Y, Bridgwater AV (2018) CFD and experimental studies on a circulating fluidised bed reactor for biomass gasification. Chem Eng Process Process Intensif 130:284\u2013295. https:\/\/doi.org\/10.1016\/J.CEP.2018.06.018","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR27","doi-asserted-by":"publisher","first-page":"107825","DOI":"10.1016\/J.CEP.2020.107825","volume":"148","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Jia Y, Xu J, Wang J, Duan C, Ge W, Zhao Y (2020) CFD intensification of coal beneficiation process in gas\u2013solid fluidized beds. Chem Eng Process Process Intensif 148:107825. https:\/\/doi.org\/10.1016\/J.CEP.2020.107825","journal-title":"Chem Eng Process Process Intensif"},{"key":"634_CR28","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.ces.2015.03.066","volume":"131","author":"S Zhao","year":"2015","unstructured":"Zhao S, Riaud A, Luo G, Jin Y, Cheng Y (2015) Simulation of liquid mixing inside micro-droplets by a lattice Boltzmann method. Chem Eng Sci 131:118\u2013128. https:\/\/doi.org\/10.1016\/j.ces.2015.03.066","journal-title":"Chem Eng Sci"},{"key":"634_CR29","first-page":"186","volume":"159","author":"S Zhou","year":"2018","unstructured":"Zhou S, Cao Z, Du G, Liu X, Zhou Y (2018) Prediction of temperature fields induced by natural convention in a cylindrical enclosure using fuzzy. Int Conf Math Model Simul Algorithm 159:186\u2013189","journal-title":"Int Conf Math Model Simul Algorithm"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-020-00634-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12650-020-00634-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-020-00634-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T00:34:46Z","timestamp":1615509286000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12650-020-00634-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,12]]},"references-count":29,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["634"],"URL":"https:\/\/doi.org\/10.1007\/s12650-020-00634-1","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"type":"print","value":"1343-8875"},{"type":"electronic","value":"1875-8975"}],"subject":[],"published":{"date-parts":[[2020,3,12]]},"assertion":[{"value":"11 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 February 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}