Literatura académica sobre el tema "CALPHAD modeling"
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Artículos de revistas sobre el tema "CALPHAD modeling"
He, Yan-Lin, Xiao-Gang Lu, Na-Qiong Zhu y Bo Sundman. "CALPHAD modeling of molar volume". Chinese Science Bulletin 59, n.º 15 (11 de marzo de 2014): 1646–51. http://dx.doi.org/10.1007/s11434-014-0218-5.
Texto completoSöderlind, Per, Alexander Landa, Emily E. Moore, Aurélien Perron, John Roehling y Joseph T. McKeown. "High-Temperature Thermodynamics of Uranium from Ab Initio Modeling". Applied Sciences 13, n.º 4 (7 de febrero de 2023): 2123. http://dx.doi.org/10.3390/app13042123.
Texto completoHonarmandi, Pejman, Noah H. Paulson, Raymundo Arróyave y Marius Stan. "Uncertainty quantification and propagation in CALPHAD modeling". Modelling and Simulation in Materials Science and Engineering 27, n.º 3 (18 de marzo de 2019): 034003. http://dx.doi.org/10.1088/1361-651x/ab08c3.
Texto completoSulzer, Sabin, Magnus Hasselqvist, Hideyuki Murakami, Paul Bagot, Michael Moody y Roger Reed. "The Effects of Chemistry Variations in New Nickel-Based Superalloys for Industrial Gas Turbine Applications". Metallurgical and Materials Transactions A 51, n.º 9 (22 de junio de 2020): 4902–21. http://dx.doi.org/10.1007/s11661-020-05845-7.
Texto completoChen, Ming, Bengt Hallstedt y Ludwig J. Gauckler. "CALPHAD modeling of the La2O3–Y 2O3 system". Calphad 29, n.º 2 (junio de 2005): 103–13. http://dx.doi.org/10.1016/j.calphad.2005.06.006.
Texto completoSteinbach, I., B. Böttger, J. Eiken, N. Warnken y S. G. Fries. "CALPHAD and Phase-Field Modeling: A Successful Liaison". Journal of Phase Equilibria and Diffusion 28, n.º 1 (28 de abril de 2007): 101–6. http://dx.doi.org/10.1007/s11669-006-9009-2.
Texto completoLiu, Zi-Kui. "First-Principles Calculations and CALPHAD Modeling of Thermodynamics". Journal of Phase Equilibria and Diffusion 30, n.º 5 (3 de septiembre de 2009): 517–34. http://dx.doi.org/10.1007/s11669-009-9570-6.
Texto completoJoubert, J. M. "CALPHAD Modeling of Metal–Hydrogen Systems: A Review". JOM 64, n.º 12 (11 de octubre de 2012): 1438–47. http://dx.doi.org/10.1007/s11837-012-0462-6.
Texto completoSundman, Bo, Qing Chen y Yong Du. "A Review of Calphad Modeling of Ordered Phases". Journal of Phase Equilibria and Diffusion 39, n.º 5 (20 de agosto de 2018): 678–93. http://dx.doi.org/10.1007/s11669-018-0671-y.
Texto completoLuo, Chunhui, Karin Hansson, Zhili Song, Debbie Ågren, Ewa Sjöqvist Persson, Fredrik Cederholm y Changji Xuan. "Modelling Microstructure in Casting of Steel via CALPHAD-Based ICME Approach". Alloys 2, n.º 4 (28 de noviembre de 2023): 321–43. http://dx.doi.org/10.3390/alloys2040021.
Texto completoTesis sobre el tema "CALPHAD modeling"
Smith, Andrew Logan Mr. "Thermodynamic Evaluation and Modeling of Grade 91 Alloy and its Secondary Phases through CALPHAD Approach". FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3773.
Texto completoDi, Napoli Paolo. "Modélisation des évolutions microstructurales par changement de phases dans les alliages de titane [bêta] - métastables". Thesis, Vandoeuvre-les-Nancy, INPL, 2010. http://www.theses.fr/2010INPL070N/document.
Texto completoA model has been developed which is able to predict the kinetics of beta → alpha transformation in industrial multi component titanium alloys during complex heat treatments. The model is based on: (i) a simple geometric representations of the different morphologies commonly observed in these alloys (parent α grains, α allotriomorphs (at grain boundaries), αcolonies and intragranular α precipitates); (ii) analytical nucleation and growth laws for each morphology of α phase; (iii) the assumption of local equilibrium at interfaces, handled within the CalPhaD framework; (iv) averaged solute balances in each morphology. Diffusion of solutes in both phases is considered. We thus obtain the transformation kinetics as well as mean size parameters and mean chemical composition for each morphology of the product α phase (at grain boundaries, colonies and intragranular precipitates. Calculations performed are at first presented for a ternary TiVO alloy emphasizing the potentialities of the model. The relationships between growth conditions, role of diffusion in each phase, and chemical composition for each morphology are analyzed upon isothermal holdings, cooling from the beta phase field and more complex cooling-heating sequence. The model is further used on the Ti17 industrial and results are compared to experimental transformation kinetics and microstructures
Ricciardi, Denielle E. "Uncertainty Quantification and Propagation in Materials Modeling Using a Bayesian Inferential Framework". The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587473424147276.
Texto completoAsp, Grönhagen Klara. "Phase-field modeling of surface-energy driven processes". Doctoral thesis, KTH, Metallografi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11036.
Texto completoQC 20100622
Lu, Xiao-Gang. "Theoretical modeling of molar volume and thermal expansion". Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252.
Texto completoUcci, Russell. "Investigation of Interface Diffusion on the Reliability of AlGaN/GaN High Electron Mobility Transistor by Thermodynamic Modeling". Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1344529070.
Texto completoDalton, John Christian. "Thermodynamics of Paraequilibrium Carburization and Nitridation of Stainless Steels". Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1386586585.
Texto completoLin, Kang-Yi. "The Dissolution of Iron from Automotive Steel Sheets in a Molten Zinc Bath and the Kinetics of the Nucleation and Growth of Dross Particles". Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307733545.
Texto completoPaulus, Kyle. "Combined CALPHAD and Machine Learning for Property Modelling". Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278149.
Texto completoTekniker för att förbättra hastigheten med material som forskas och utvecklas har genomförts genom att undersöka metodik för maskininlärning. Dessa tekniker erbjuder lösningar för att ansluta längdskalorna för materialegenskaper från atomistiska och kemiska egenskaper med hjälp av materialdatabaser genererade från insamlade data. I denna bedömning används två materialinformatikmetoder för att förutsäga materialegenskaper i stål och nickelbaserade superlegeringar med denna metod. Martensite-starttemperatur och sigmafasmängd som en funktion av ingångssammansättningen har modellerats med användning av maskininlärningsalgoritmer. Den experimentella metoden hade en samling av över 2000 unika experimentella starttemperaturpunkter för martensit. Detta gav viktig information om interaktioner med högre ordning för martensit-starttemperaturen och ett root-medelvärde-kvadratfel (rmse) på 29 Kelvin med användning av ensemble-trädbaserade algoritmer. Metamodellen designades med hjälp av ett artificiellt neuralt nätverk från TensorFlows bibliotek för att förutsäga sigma-fasfraktion och dess sammansättning. Metoden för att bygga, beräkna och använda data från TC-Python kommer att anges. Detta genererar en modell som skulle generalisera sigma-fasfraktion 97,9 % av Thermo-Calcs jämviktsmodell på 7,1 sekunder jämfört med 227 timmar som behövs i simuleringen för att beräkna samma mängd materialegenskapsdata.
König, Hans-Henrik. "Calphad data handling for generic precipitation modelling coupled with FEM". Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280039.
Texto completoFör utveckling av ett generiskt modelleringsverktyg för utskiljningskinetiken i inhomogena komponenter krävs en effektiv databehandling som möjliggör integration av modeller för olika längdskalor och minskar beräkningstiden och resursförbrukningen. I denna avhandling utvecklas och testas en automatiserad metod för att generera, kurera och transformera termodynamisk och kinetisk Calphad-data. Detta möjliggör integration av utskiljningsmodeller i finita-element metodkoder. Pycalphad tillsammans med en öppen källkod används för att komma åt Calphad-databaser. Ett Python-skript används för att beräkna de termodynamiska och kinetiska parametrarna som används i utskiljningsmodellen. Uppgifterna sparas i en öppen källkodsinfrastruktur. Den utvecklade metoden demonstreras genom att generera, kurera och transformera information för det binära modellsystemet Cu-Co Resultaten visar att Pycalphad kan användas för att tillhandahålla de nödvändiga termodynamiska och kinetiska parametrarna för utskiljningsmodeller. En ytterligare förbättring av den presenterade källkoden är nödvändig för att möjliggöra applikationen inom hela sammansättningsområdet.
Capítulos de libros sobre el tema "CALPHAD modeling"
Zhang, Chuan y Michael C. Gao. "CALPHAD Modeling of High-Entropy Alloys". En High-Entropy Alloys, 399–444. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27013-5_12.
Texto completoMeier, Janet, Josh Caris y Alan A. Luo. "CALPHAD Modeling and Microstructure Investigation of Mg–Gd–Y–Zn Alloys". En Magnesium Technology 2020, 61–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36647-6_12.
Texto completoLiang, Zhi, Weihua Sun, Alan A. Luo, James C. Williams y Anil K. Sachdev. "Calphad Modeling and Experimental Validation of Multi-component Systems for Cast Titanium Alloy Development". En Proceedings of the 13th World Conference on Titanium, 1937–41. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119296126.ch324.
Texto completoPovoden-Karadeniz, Erwin y Nicolas Garcia Arango. "Applied Calphad to Cast and Wrought Successors to IN718: A Physics-Based Approach with Implications for Phase Stabilities, Precipitation, and Microstructural Modeling". En The Minerals, Metals & Materials Series, 347–67. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27447-3_22.
Texto completoOnodera, Hidehiro, Taichi Abe y Kiyoshi Hashimoto. "Modeling of HCP/D019, D019/L10, BCC/B2 Phase Equilibria in a Ti-Al System by the CVM-CALPHAD Method". En THERMEC 2006, 2419–24. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-428-6.2419.
Texto completoZhang, Lijun y Qing Chen. "CALPHAD-Type Modeling of Diffusion Kinetics in Multicomponent Alloys". En Handbook of Solid State Diffusion, Volume 1, 321–62. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-804287-8.00006-3.
Texto completoActas de conferencias sobre el tema "CALPHAD modeling"
Liu, Zi-Kui. "Thermodynamics and Its Applications through First-Principles Calculations and CALPHAD Modeling". En SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-1024.
Texto completoLindroos, Matti, Tom Andersson, Abhishek Biswas, Pilar Rey Rodriquez, Sicong Ren, Tomi Suhonen, Juha Lagerbom, Tomi Lindroos y Anssi Laukkanen. "Performance Driven Design And Modeling Of Compositionally Complex AM Alconife Alloys". En Euro Powder Metallurgy 2023 Congress & Exhibition. EPMA, 2023. http://dx.doi.org/10.59499/ep235765038.
Texto completoWang, J., M. Osawa, T. Yokokawa, H. Harada y M. Enomoto. "Phase-field Modeling with CALPHAD and CVM for Microstructural Evolution of Ni-base Superalloy". En Superalloys. TMS, 2004. http://dx.doi.org/10.7449/2004/superalloys_2004_933_940.
Texto completoAllen, Marshall, Raymundo Arroyave y Richard Malak. "Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design". En ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89091.
Texto completoDesseaux, Mathias, Jerome Andrieux, Bruno Gardiola, Sylvie Le Floch, Guillaume Deffrennes, Takeshi Wada, Hidemi Kato, Paraskevas Parisiadis, Guillaume Morard y Olivier Dezellus. "Fe-Mg phase equilibria under High-temperature and high-pressure conditions: experimental investigation and Calphad modeling". En Goldschmidt2023. France: European Association of Geochemistry, 2023. http://dx.doi.org/10.7185/gold2023.19239.
Texto completoWarrier, Gopinath R., Y. Sungtaek Ju, Jan Schroers, Mark Asta y Peter Hosemann. "Development of High Temperature Liquid Metal Heat Transfer Fluids for CSP Applications". En ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/es2014-6611.
Texto completoAndersson, Tom, Matti Lindroos, Abhishek Biswas, Tomi Suhonen, Supriya Nandy, Anssi Laukkanen, Juha Lagerbom, Tomi Lindroos y Pilar Rey Rodriguez. "Estimating Long Term Behaviour Of DED-printed AlCoNiFe Alloy". En Euro Powder Metallurgy 2023 Congress & Exhibition. EPMA, 2023. http://dx.doi.org/10.59499/ep235764634.
Texto completoMariani, Marco, Luigi Montipò y Nora Lecis. "Effects Of Feedstock Morphology And Composition On Binder Jetting Of 316L Stainless Steel: A Perspective On Circular Economy". En Euro Powder Metallurgy 2023 Congress & Exhibition. EPMA, 2023. http://dx.doi.org/10.59499/ep235764265.
Texto completoGerdt, L., M. Müller, M. Heidowitzsch, J. Kaspar, E. Lopez, M. Zimmermann, C. Leyens, A. Hilhorst y P. J. Jacques. "Alloy Design of Feedstock Material for Additive Manufacturing—Exploring the Al-Co-Cr-Fe-Ni-Ti Compositionally Complex Alloys". En ITSC 2023. ASM International, 2023. http://dx.doi.org/10.31399/asm.cp.itsc2023p0414.
Texto completoInformes sobre el tema "CALPHAD modeling"
Morgan, Dane y Yong Austin Yang. Ab Initio Enhanced calphad Modeling of Actinide-Rich Nuclear Fuels. Office of Scientific and Technical Information (OSTI), octubre de 2013. http://dx.doi.org/10.2172/1097462.
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