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Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures [article]

Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daninel Straub, Ernst Rank
2021 arXiv   pre-print
Therefore, the evaluation of the influence of microstructural variability on their mechanical behavior is crucial for the quality assessment of the produced structures.  ...  Process-induced defects are the leading cause of discrepancies between as-designed and as-manufactured additive manufacturing (AM) product behavior.  ...  We also kindly acknowledge the Department of Civil Engineering and Architecture of the University of Pavia, in particular Gianluca Alaimo and Massimo Carraturo, for providing facilities for additive manufacturing  ... 
arXiv:2103.09550v1 fatcat:olomya7j75bvfomz4vktbbjivu

The effect of oxygen pickup during selective laser melting on the microstructure and mechanical properties of Ti–6Al–4V lattices

M. Velasco-Castro, E. Hernández-Nava, I.A. Figueroa, I. Todd, R. Goodall
2019 Heliyon  
Additive manufacturing techniques such as Selective Laser Melting (SLM) can produce complex shapes with relatively thin sections and fine detail.  ...  A ductile to brittle transition in strut failure mechanism is found with increasing number of melting passes, with significant modification in chemistry and crystallographic structure, despite the presence  ...  Such behaviour is suggested to be due to material embrittlement due to oxygen pickup, and not to microstructural α-β modification of Ti-6Al-4V alloy.  ... 
doi:10.1016/j.heliyon.2019.e02813 pmid:31872099 pmcid:PMC6911884 fatcat:5avgqtgnijhbzja5o2tgtevuqi

Defect Probability Estimation for Hardness-Optimised Parts by Selective Laser Melting

Maurizio Galetto, Gianfranco Genta, Giacomo Maculotti, Elisa Verna
2020 International Journal of Precision Engineering and Manufacturing  
The development of reliable additive manufacturing (AM) technologies to process metallic materials, e.g. selective laser melting (SLM), has allowed their adoption for manufacturing final components.  ...  Then, hardness defect probability is estimated by composing the uncertainty affecting both process variables and their relationship with the hardness.  ...  Flaviana Calignano for the support in the definition of samples geometry and in the selection of process variables.  ... 
doi:10.1007/s12541-020-00381-1 fatcat:ptuqxdppmjasrddw7outmtprbq

Spinodal decomposition versus classical gamma-prime nucleation in a nickel-base superalloy powder: An in-situ neutron diffraction and atomic-scale analysis [article]

David M Collins, Neil D'Souza, Chinnapat Panwisawas, Chrysanthi Papadaki, Geoff D West, Paraskevas Kontis
2020 arXiv   pre-print
Contemporary powder-based polycrystalline nickel-base superalloys inherit microstructures and properties that are heavily determined by the thermo-mechanical treatments during processing.  ...  The initial powder comprised a single-phase supersaturated gamma only; from this, the evolution of gamma-prime volume fraction and lattice misfit was assessed.  ...  , the experimental assistance from Dr Joe Kelleher, and also for the provision of sample preparation, ENGIN-X facilities.  ... 
arXiv:2004.01146v1 fatcat:4uurfg3w3baaxf7enl2o6p63cq

Modelling of Microstructure Formation in Metal Additive Manufacturing: Recent Progress, Research Gaps and Perspectives

Dayalan R. Gunasegaram, Ingo Steinbach
2021 Metals  
Microstructures encountered in the various metal additive manufacturing (AM) processes are unique because these form under rapid solidification conditions not frequently experienced elsewhere.  ...  For instance, the unstable, rapid and dynamic nature of the powder-based AM processes and the microscopic scale of the melt pool behaviour make it difficult to gather crucial information through in-situ  ...  The balance between G and R plays an important role in determining the morphology of the microstructures in AM processes such as Direct Energy Deposition (DED) [37] , Wire Arc Additive Manufacturing (  ... 
doi:10.3390/met11091425 fatcat:bcx7hwa7xze75if6lhli6rczrm

The effect of nano-TiC addition on sintered Nd-Fe-B permanent magnets

Zorjana Mural, Lauri Kollo, Manlong Xia, Christian R.H. Bahl, Asger Bech Abrahamsen, Henrique Neves Bez, Joosep Link, Renno Veinthal
2017 Journal of Magnetism and Magnetic Materials  
This paper addresses the effect of nano-TiC addition on sintered Nd-Fe-B permanent magnets.  ...  Magnets with optimal properties were obtained with the addition of 1 wt% TiC nanoparticles.  ...  This work is part of the REEgain Innovation Consortium funded by the Innovation Fund Denmark (www.REEgain.dk).  ... 
doi:10.1016/j.jmmm.2016.12.115 fatcat:n3ghg3nmtjcifitzgv6jjsnu24

A model for Ti–6Al–4V microstructure evolution for arbitrary temperature changes

C Charles Murgau, R Pederson, L E Lindgren
2012 Modelling and Simulation in Materials Science and Engineering  
The microstructure model is applied to in finite element simulation of wire feed additive manufacturing.  ...  An added variable, structure size indicator of Widmanstätten , has also been implemented and calibrated. It is written in a simple Arrhenius format.  ...  microstructure model and to Mats Högström at University West, Sweden for performing the additive manufacturing trials.  ... 
doi:10.1088/0965-0393/20/5/055006 fatcat:62g3n44mjzd57abp7okqtj63ze

Probabilistic micromechanical spatial variability quantification in laminated composites

S. Naskar, T. Mukhopadhyay, S. Sriramula
2018 Composites Part B: Engineering  
modelling approach, affirming the necessity to consider different forms of source-uncertainties during the analysis to ensure adequate safety, sustainability and robustness of the structure.  ...  The results reveal that stochasticity (/ system irregularity) in material and structural attributes influences the system performance significantly depending on the type of analysis and the adopted uncertainty  ...  The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research.  ... 
doi:10.1016/j.compositesb.2018.06.002 fatcat:vwvm3qsse5ahrospaqr6bxufrq

Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites

Susmita Naskar, Tanmoy Mukhopadhyay, Srinivas Sriramula
2019 Composite structures  
Most of the studies concerning the uncertainty quantification of composites rely on probabilistic analyses, where the prerequisite is to have the statistical distribution of stochastic input parameters  ...  Such approach of uncertainty modelling is physically more relevant than the prevalent way of modelling non-probabilistic uncertainty without considering the ply-level spatial variability.  ...  The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research.  ... 
doi:10.1016/j.compstruct.2018.09.090 fatcat:ohwnv5wc3rdkxmmjbjgmhhhdni

The Present State of Surface Conditioning in Cutting and Grinding

Benedict Stampfer, Germán González, Michael Gerstenmeyer, Volker Schulze
2021 Journal of Manufacturing and Materials Processing  
All manufacturing processes have an impact on the surface layer state of a component, which in turn significantly determines the properties of parts in service.  ...  Although these effects should certainly be exploited, knowledge on the conditioning of the surfaces during the final cutting and abrasive process of metal components is still only extremely limited today  ...  surface microdefects), microstructure (phase composition, grain size, grain structure and various lattice distortions including work  ... 
doi:10.3390/jmmp5030092 fatcat:kpbyp67iq5d4lefc4zcwj37dle

Stochastic inverse finite element modeling for characterization of heterogeneous material properties

Carlos Llopis-Albert, Francisco Rubio, Francisco Valero, Huchang Liao, Shouzhen Zeng
2019 Materials Research Express  
The micro and meso-structural characteristics of materials present an inherent variability because of the intrinsic scatter in raw material and manufacturing processes.  ...  ratio fields) and variables (e.g., stress and strain fields).  ...  Quantification of uncertainty modelling in stochastic analysis of FRP composites. Composites Part A: Applied Science and Manufacturing 40(11), 1673-1684. -Torquato, S. (2010).  ... 
doi:10.1088/2053-1591/ab4c72 fatcat:3wjg6igcefaqba3pt767ho2jpi

Machine Learning for Property Prediction and Optimization of Polymeric Nanocomposites: A State-of-the-Art

Elizabeth Champa-Bujaico, Pilar García-Díaz, Ana M. Díez-Pascual
2022 International Journal of Molecular Sciences  
Prediction, optimization, feature identification and uncertainty quantification are presented along with different ML algorithms used in the field of polymeric nanocomposites for property prediction, and  ...  The enhanced performance of those materials typically involves superior mechanical strength, toughness and stiffness, electrical and thermal conductivity, better flame retardancy and a higher barrier to  ...  analysis and the quantification of uncertainties arising in the material and its properties due to the complex manufacturing processes.  ... 
doi:10.3390/ijms231810712 pmid:36142623 pmcid:PMC9505448 fatcat:her7dzrca5axbjkyfu2aimu6oe

Quantification and characterisation of porosity in selectively laser melted Al–Si10–Mg using X-ray computed tomography

I. Maskery, N.T. Aboulkhair, M.R. Corfield, C. Tuck, A.T. Clare, R.K. Leach, R.D. Wildman, I.A. Ashcroft, R.J.M. Hague
2016 Materials Characterization  
Keywords selective laser melting; aluminium alloy; additive manufacture; X-ray computed tomography; nondestructive testing ACCEPTED MANUSCRIPT 3  ...  2016) Quantification and characterisation of porosity in selectively laser melted Al-Si10-Mg using x-ray computed tomography.  ...  Thanks to Mark East, Mark Hardy and Joe White, technicians of the Additive Manufacture and 3D Printing Research Group, and also to Tom Buss, who assisted with sample annealing. ACCEPTED MANUSCRIPT  ... 
doi:10.1016/j.matchar.2015.12.001 fatcat:m577wd3qurezpcgi6ecom3xopa

Hot Deformation Behaviour and Processing Map of Cast Alloy 825

Munir Al-Saadi, Christopher Hulme-Smith, Fredrik Sandberg, Pär G. Jönsson
2021 Journal of materials engineering and performance (Print)  
) constitutive equation, $$n = 5.0$$ n = 5.0 , suggests that the rate-limiting mechanism of deformation is dislocation climb.  ...  In this study, a processing map for as-cast Alloy 825 is established to maximise the power dissipation efficiency of hot deformation in the temperature range of 950 to 1250 °C at an interval of 50 °C and  ...  In addition, some heavily deformed structures were found to be localised (Fig. 7a ).  ... 
doi:10.1007/s11665-021-05957-0 fatcat:pikwcv7a45f57lm36nhe3a5ysy

Design and manufacture of Portland cement—application of sensitivity analysis in exploration and optimisation

Ketil Svinning
2006 Chemometrics and Intelligent Laboratory Systems  
Thesis for the degree of Doctor Philosophiae Faculty of Natural Sciences and Technology © Ketil Svinning Norcem AS, HeidelbergCement Setrevegen 2 3950 Brevik ISBN 978-82-471-2944-9 (printed ver.)  ...  , F., Neubauer, J., Crystal structure refinement of Na-substituted C 3 A by Rietveld analysis and Quantification in OPC, Proceedings of the 10 th International Congress on the Chemistry of Cement, Gothenburg  ...  E., Rheological properties of cement paste: Thixotropic behaviour and structural breakdown, Cement and Concrete Research, 39 (2009) 14-29 [62] Wallevik, J.E., Relationship between the Bingham parameters  ... 
doi:10.1016/j.chemolab.2006.04.011 fatcat:o3jeiui3h5g4pnili4rhcod33y
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