Pub Date : 2016-03-01DOI: 10.1016/j.md.2016.06.001
Lei Wei, Xin Lin, Meng Wang, Weidong Huang
A low artificial anisotropy cellular automaton (CA) model is developed for the simulation of microstructure evolution in directional solidification. The CA model’s capture rule was modified by a limited neighbor solid fraction (LNSF) method. Various interface curvature calculation methods have been compared. A modified curvature calculation method based on the variation of the unit vector normal (VUVN) to the solid-liquid interface using volume of fluid (VOF) interpolation technique gets better results. The equilibrium shapes were simulated to quantify the artificial anisotropy, when the interface energy anisotropy coefficient is varied from ε = 0.0 to ε = 0.05. The low artificial anisotropy CA model is used in the numerical simulation of the cell-to-dendrite transition (CDT) in directional solidification. The influence of physical parameters (Г, Dl, k0, ml) on CDT has been investigated. The main finding in this paper is the discovery of the changing behavior of the Vcd when the solute partition coefficient k0 is larger than a critical value. When k0 is less than 0.125, the Vcd follows the Kurz and Fisher criterion Vc/k0; while when k0 > 0.125, the Vcd equals to 8 Vc. The experimental data of succinonitrile-acetone (SCN-ace, k0 = 0.1) and SCN-camphor (k0 = 0.33) support the conclusions from CA simulations.
{"title":"Low artificial anisotropy cellular automaton model and its applications to the cell-to-dendrite transition in directional solidification","authors":"Lei Wei, Xin Lin, Meng Wang, Weidong Huang","doi":"10.1016/j.md.2016.06.001","DOIUrl":"https://doi.org/10.1016/j.md.2016.06.001","url":null,"abstract":"<div><p>A low artificial anisotropy cellular automaton (CA) model is developed for the simulation of microstructure evolution in directional solidification. The CA model’s capture rule was modified by a limited neighbor solid fraction (LNSF) method. Various interface curvature calculation methods have been compared. A modified curvature calculation method based on the variation of the unit vector normal (VUVN) to the solid-liquid interface using volume of fluid (VOF) interpolation technique gets better results. The equilibrium shapes were simulated to quantify the artificial anisotropy, when the interface energy anisotropy coefficient is varied from <em>ε<!--> </em>=<!--> <!-->0.0 to <em>ε<!--> </em>=<!--> <!-->0.05. The low artificial anisotropy CA model is used in the numerical simulation of the cell-to-dendrite transition (CDT) in directional solidification. The influence of physical parameters (<em>Г</em>, <em>D<sub>l</sub></em>, <em>k</em><sub>0</sub>, <em>m<sub>l</sub></em>) on CDT has been investigated. The main finding in this paper is the discovery of the changing behavior of the <em>V</em><sub>cd</sub> when the solute partition coefficient <em>k</em><sub>0</sub> is larger than a critical value. When <em>k</em><sub>0</sub> is less than 0.125, the <em>V</em><sub>cd</sub> follows the Kurz and Fisher criterion <em>V</em><sub>c</sub>/<em>k</em><sub>0</sub>; while when <em>k</em><sub>0</sub> <!-->><!--> <!-->0.125, the <em>V</em><sub>cd</sub> equals to 8<!--> <em>V</em><sub>c</sub>. The experimental data of succinonitrile-acetone (SCN-ace, <em>k</em><sub>0</sub> <!-->=<!--> <!-->0.1) and SCN-camphor (<em>k</em><sub>0</sub> <!-->=<!--> <!-->0.33) support the conclusions from CA simulations.</p></div>","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"3 ","pages":"Pages 17-28"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.md.2016.06.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72105795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/J.MD.2016.08.001
R. Senbahavalli, S. Mohanapriya, V. Raj
{"title":"Enhanced corrosion resistance of anodic non-porous alumina (ANPA) coatings on aluminium fabricated from mixed organic-inorganic electrolytes","authors":"R. Senbahavalli, S. Mohanapriya, V. Raj","doi":"10.1016/J.MD.2016.08.001","DOIUrl":"https://doi.org/10.1016/J.MD.2016.08.001","url":null,"abstract":"","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"1 1","pages":"29-37"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82846604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/J.MD.2016.03.001
K. Rajan
{"title":"Starting the pathway of Materials Discovery","authors":"K. Rajan","doi":"10.1016/J.MD.2016.03.001","DOIUrl":"https://doi.org/10.1016/J.MD.2016.03.001","url":null,"abstract":"","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"43 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80634621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/j.md.2015.12.002
Ivan Bodurov , Dimitar Petrov
Nanocrystalline GdAlO3 with particle size of 40 nm has been studied in form of tablets by means of dielectric spectroscopy. Impedance, phase angle, capacitance, relative dielectric permittivity, and loss tangent have been measured in the frequency range 20 Hz–1 MHz at temperatures between 298 K and 473 K. The polarizability volume of GdAlO3 has been determined and the dielectric properties of the material have been discussed.
{"title":"Dielectric spectroscopy of gadolinium monoaluminate nanoparticles","authors":"Ivan Bodurov , Dimitar Petrov","doi":"10.1016/j.md.2015.12.002","DOIUrl":"https://doi.org/10.1016/j.md.2015.12.002","url":null,"abstract":"<div><p><span>Nanocrystalline GdAlO</span><sub>3</sub> with particle size of 40<!--> <span>nm has been studied in form of tablets by means of dielectric spectroscopy. Impedance, phase angle, capacitance, relative dielectric permittivity, and loss tangent have been measured in the frequency range 20</span> <!-->Hz–1<!--> <!-->MHz at temperatures between 298<!--> <!-->K and 473<!--> <!-->K. The polarizability volume of GdAlO<sub>3</sub><span> has been determined and the dielectric properties of the material have been discussed.</span></p></div>","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"3 ","pages":"Pages 13-16"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.md.2015.12.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72105788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/J.MD.2015.12.003
T. Austin
{"title":"Towards a digital infrastructure for engineering materials data","authors":"T. Austin","doi":"10.1016/J.MD.2015.12.003","DOIUrl":"https://doi.org/10.1016/J.MD.2015.12.003","url":null,"abstract":"","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"14 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84323726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/j.md.2015.12.003
Tim Austin
The industrial and research sectors make significant investments in developing and producing engineering materials. These materials are manufactured and qualified in accordance with a body of product and testing standards that have evolved over many decades to meet ever more demanding requirements. Yet the very significant volume of data that result from these activities remains largely unavailable. While efforts to establish a digital infrastructure for engineering materials data can be traced back more than three decades, widespread adoption of machine-readable formats to enable the routine transfer of engineering materials data has yet to be realized. Given the reliance on electronic systems in all aspects of engineering materials development, manufacture, and qualification, it is an anomaly that simply preserving and transferring engineering materials data remains an issue. This anomaly is accentuated by the fact that in recent years other business domains have benefited from the integration of web technologies into established business models. To address these shortcomings a digital infrastructure is needed that allows and encourages the seamless transfer of engineering materials data between different systems. It is in this context that renewed efforts to develop standard formats for engineering materials data are taking place in the frame of CEN Workshops. While building on prior activities at ASTM and ISO, this work leverages existing product and testing standards with a view to engaging the engineering materials community. With preliminary technical specifications having already been demonstrated to streamline the data transfer process, attention is turning to the long-standing challenge of promoting a culture of data sharing. Whereas previously the motivations for researchers and industrial organizations to share data were lacking, the initial impacts of the DataCite framework for data citation on the utilization of the European Commission materials database hosted at https://odin.jrc.ec.europa.eu are suggestive of a sea-change in data sharing and reuse. This paper describes the status of the work to develop data formats for engineering materials in the frame of CEN Workshops and reports on the added value of data citation beyond simply ensuring that data creators are properly accredited for their work. It also reports the outcome of work to enable the European Commission materials database to support standards compliant data formats and data citation, whereby the barriers to systems integration have been considerably reduced and, irrespective of the level of confidentiality, organizations in both the industrial and research sectors now routinely enable their data sets for citation. Together with recent innovations in digital publishing, a renewed interest in the development of standards for engineering materials data offers new prospects for discovery, exchange, and reuse of engineering mate
{"title":"Towards a digital infrastructure for engineering materials data","authors":"Tim Austin","doi":"10.1016/j.md.2015.12.003","DOIUrl":"https://doi.org/10.1016/j.md.2015.12.003","url":null,"abstract":"<div><p>The industrial and research sectors make significant investments in developing and producing engineering materials. These materials are manufactured and qualified in accordance with a body of product and testing standards that have evolved over many decades to meet ever more demanding requirements. Yet the very significant volume of data that result from these activities remains largely unavailable. While efforts to establish a digital infrastructure for engineering materials data can be traced back more than three decades, widespread adoption of machine-readable formats to enable the routine transfer of engineering materials data has yet to be realized. Given the reliance on electronic systems in all aspects of engineering materials development, manufacture, and qualification, it is an anomaly that simply preserving and transferring engineering materials data remains an issue. This anomaly is accentuated by the fact that in recent years other business domains have benefited from the integration of web technologies into established business models. To address these shortcomings a digital infrastructure is needed that allows and encourages the seamless transfer of engineering materials data between different systems. It is in this context that renewed efforts to develop standard formats for engineering materials data are taking place in the frame of CEN Workshops. While building on prior activities at ASTM and ISO, this work leverages existing product and testing standards with a view to engaging the engineering materials community. With preliminary technical specifications having already been demonstrated to streamline the data transfer process, attention is turning to the long-standing challenge of promoting a culture of data sharing. Whereas previously the motivations for researchers and industrial organizations to share data were lacking, the initial impacts of the DataCite framework for data citation on the utilization of the European Commission materials database hosted at <span>https://odin.jrc.ec.europa.eu</span><svg><path></path></svg> are suggestive of a sea-change in data sharing and reuse. This paper describes the status of the work to develop data formats for engineering materials in the frame of CEN Workshops and reports on the added value of data citation beyond simply ensuring that data creators are properly accredited for their work. It also reports the outcome of work to enable the European Commission materials database to support standards compliant data formats and data citation, whereby the barriers to systems integration have been considerably reduced and, irrespective of the level of confidentiality, organizations in both the industrial and research sectors now routinely enable their data sets for citation. Together with recent innovations in digital publishing, a renewed interest in the development of standards for engineering materials data offers new prospects for discovery, exchange, and reuse of engineering mate","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"3 ","pages":"Pages 1-12"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.md.2015.12.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72105797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-01DOI: 10.1016/j.md.2016.08.001
R. Senbahavalli, S. Mohanapriya, V. Raj
A promising approach to fabricate protective Anodic Non-Porous Alumina (ANPA) coatings is developed through anodization of Aluminium in a mixed electrolyte comprising sulphuric acid and ammonium oxalate (AO). Under optimized conditions, a mechanically-stable ANPA coating with high corrosion resistance results. Growth kinetics, surface characteristics, phase constitution, composition of elements and electrochemical corrosion behavior are evaluated by SEM, EDS, AFM, XRD and electrochemical studies. As assessed by Electrochemical measurements, ANPA resists corrosion nearly 100 times than that of pure Al.
{"title":"Enhanced corrosion resistance of anodic non-porous alumina (ANPA) coatings on aluminium fabricated from mixed organic-inorganic electrolytes","authors":"R. Senbahavalli, S. Mohanapriya, V. Raj","doi":"10.1016/j.md.2016.08.001","DOIUrl":"https://doi.org/10.1016/j.md.2016.08.001","url":null,"abstract":"<div><p><span><span>A promising approach to fabricate protective Anodic Non-Porous Alumina (ANPA) coatings is developed through anodization of </span>Aluminium<span> in a mixed electrolyte comprising sulphuric acid and ammonium oxalate (AO). Under optimized conditions, a mechanically-stable ANPA coating with high corrosion resistance results. Growth kinetics, surface characteristics, phase constitution, composition of elements and </span></span>electrochemical corrosion<span> behavior are evaluated by SEM, EDS, AFM, XRD and electrochemical studies. As assessed by Electrochemical measurements, ANPA resists corrosion nearly 100 times than that of pure Al.</span></p></div>","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"3 ","pages":"Pages 29-37"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.md.2016.08.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72105796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-01DOI: 10.1016/J.MD.2016.03.004
C. Dube, S. Kashyap, D. Dube
{"title":"Growth mechanism of SiGe alloy nanowires synthesized in H-mode cylindrical cavity resonator","authors":"C. Dube, S. Kashyap, D. Dube","doi":"10.1016/J.MD.2016.03.004","DOIUrl":"https://doi.org/10.1016/J.MD.2016.03.004","url":null,"abstract":"","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"24 1","pages":"44-49"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84496214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-01DOI: 10.1016/j.md.2016.03.002
Abdallah Shokry , Per Ståhle
A Kalman filter can be used to determine material parameters using uncertain experimental data. However, starting with inappropriate initial values for material parameters might cause false local attractors or even divergence. Also, inappropriate choices of covariance errors of the state and the measurements might affect the stability of the prediction. The present method suggests a simple way to predict the parameters and the errors required to start the Kalman filter based on known parameters and generated data with different noises used as “measurement data”. Diffusion coefficients for bovine bone and viscoplastic steel parameters are chosen as case studies in this work.
{"title":"A methodology for using Kalman filter to determine material parameters from uncertain measurements","authors":"Abdallah Shokry , Per Ståhle","doi":"10.1016/j.md.2016.03.002","DOIUrl":"https://doi.org/10.1016/j.md.2016.03.002","url":null,"abstract":"<div><p>A Kalman filter can be used to determine material parameters using uncertain experimental data. However, starting with inappropriate initial values for material parameters might cause false local attractors or even divergence. Also, inappropriate choices of covariance errors of the state and the measurements might affect the stability of the prediction. The present method suggests a simple way to predict the parameters and the errors required to start the Kalman filter based on known parameters and generated data with different noises used as “measurement data”. Diffusion coefficients for bovine bone and viscoplastic steel parameters are chosen as case studies in this work.</p></div>","PeriodicalId":100888,"journal":{"name":"Materials Discovery","volume":"2 ","pages":"Pages 1-15"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.md.2016.03.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72115567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}