scholarly journals Tuning the 3D Printability and Thermomechanical Properties of Radiation Shields

Polymers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 3284
Author(s):  
Zachary Brounstein ◽  
Jianchao Zhao ◽  
Jeffrey Wheat ◽  
Andrea Labouriau
Keyword(s):  
Materials Science ◽  
Material Design ◽  
Thermomechanical Properties ◽  
Radiation Shielding ◽  
Direct Ink Writing ◽  
New Material ◽  
Radiation Shields ◽  
Traditional Manufacturing ◽  
Functional Fillers ◽  
Nuclear Applications

Additive manufacturing, with its rapid advances in materials science, allows for researchers and companies to have the ability to create novel formulations and final parts that would have been difficult or near impossible to fabricate with traditional manufacturing methods. One such 3D printing technology, direct ink writing, is especially advantageous in fields requiring customizable parts with high amounts of functional fillers. Nuclear technology is a prime example of a field that necessitates new material design with regard to unique parts that also provide radiation shielding. Indeed, much effort has been focused on developing new rigid radiation shielding components, but DIW remains a less explored technology with a lot of potential for nuclear applications. In this study, DIW formulations that can behave as radiation shields were developed and were printed with varying amounts of porosity to tune the thermomechanical performance.

Ultrasonic Torsion Welding of Aging Resistant Al/CFRP Joints - Concepts, Mechanical and Microstructural Properties

2017 ◽  
Vol 742 ◽  
pp. 395-400 ◽  
Author(s):  
Florian Staab ◽  
Frank Balle ◽  
Johannes Born
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Materials Science ◽  
Dissimilar Materials ◽  
Material Design ◽  
Ultrasonic Welding ◽  
Fatigue Properties ◽  
Aviation Industry ◽  
Efficient Design ◽  
Engineering Structures

Multi-material-design offers high potential for weight saving and optimization of engineering structures but inherits challenges as well, especially robust joining methods and long-term properties of hybrid structures. The application of joining techniques like ultrasonic welding allows a very efficient design of multi-material-components to enable further use of material specific advantages and are superior concerning mechanical properties.The Institute of Materials Science and Engineering of the University of Kaiserslautern (WKK) has a long-time experience on ultrasonic welding of dissimilar materials, for example different kinds of CFRP, light metals, steels or even glasses and ceramics. The mechanical properties are mostly optimized by using ideal process parameters, determined through statistical test planning methods.This gained knowledge is now to be transferred to application in aviation industry in cooperation with CTC GmbH and Airbus Operations GmbH. Therefore aircraft-related materials are joined by ultrasonic welding. The applied process parameters are recorded and analyzed in detail to be interlinked with the resulting mechanical properties of the hybrid joints. Aircraft derived multi-material demonstrators will be designed, manufactured and characterized with respect to their monotonic and fatigue properties as well as their resistance to aging.

scholarly journals Material-Driven Textile Design (MDTD): A Methodology for Designing Circular Material-Driven Fabrication and Finishing Processes in the Materials Science Laboratory

2021 ◽  
Vol 13 (3) ◽  
pp. 1268
Author(s):  
Miriam Ribul ◽  
Kate Goldsworthy ◽  
Carole Collet
Keyword(s):  
Design Research ◽  
Materials Science ◽  
Material Design ◽  
Scientific Development ◽  
Regenerated Cellulose ◽  
Science Laboratory ◽  
Textile Composite ◽  
Specific Product ◽  
Textile Design ◽  
Finishing Processes

In the context of the circular economy, materials in scientific development present opportunities for material design processes that begin at a raw state, before being introduced into established processes and applications. The common separation of the scientific development of materials from design intervention results in a lack of methodological approaches enabling designers to inform new processes that respond to new material properties. This paper presents the results of a PhD investigation that led to the development and application of a Material-Driven Textile Design (MDTD) methodology for design research based in the materials science laboratory. It also presents the development of the fabrication of a textile composite with regenerated cellulose obtained from waste textiles, resulting from the MDTD methodology informing novel textile processes. The methods and practice which make up this methodology include distinct phases of exploration, translation and activation, and were developed via three design-led research residencies in materials science laboratories in Europe. The MDTD methodology proposes an approach to design research in a scientific setting that is decoupled from a specific product or application in order to lift disciplinary boundaries for the development of circular material-driven fabrication and finishing processes at the intersection of materials science and design.

scholarly journals An effective thermal conductivity and thermomechanical homogenization scheme for a multiscale Nb3Sn filaments

2021 ◽  
Vol 10 (1) ◽  
pp. 187-200
Author(s):  
Xiaoyu Zhao ◽  
Guannan Wang ◽  
Qiang Chen ◽  
Libin Duan ◽  
Wenqiong Tu
Keyword(s):  
Volume Fraction ◽  
Material Design ◽  
Axial Direction ◽  
High Heat ◽  
Thermomechanical Properties ◽  
Homogenization Theory ◽  
High Heat Flux ◽  
Element Analysis ◽  
Hierarchical Microstructure ◽  
Thermal Conductivities

Abstract A comprehensive study of the multiscale homogenized thermal conductivities and thermomechanical properties is conducted towards the filament groups of European Advanced Superconductors (EAS) strand via the recently proposed Multiphysics Locally Exact Homogenization Theory (LEHT). The filament groups have a distinctive two-level hierarchical microstructure with a repeating pattern perpendicular to the axial direction of Nb3Sn filament. The Nb3Sn filaments are processed in a very high temperature between 600 and 700°C, while its operation temperature is extremely low, −269°C. Meanwhile, Nb3Sn may experience high heat flux due to low resistivity of Nb3Sn in the normal state. The intrinsic hierarchical microstructure of Nb3Sn filament groups and Multiphysics loading conditions make LEHT an ideal candidate to conduct the homogenized thermal conductivities and thermomechanical analysis. First, a comparison with a finite element analysis is conducted to validate effectiveness of Multiphysics LEHT and good agreement is obtained for the homogenized thermal conductivities and mechanical and thermal expansion properties. Then, the Multiphysics LEHT is applied to systematically investigate the effects of volume fraction and temperature on homogenized thermal conductivities and thermomechanical properties of Nb3Sn filaments at the microscale and mesoscale. Those homogenized properties provide a full picture for researchers or engineers to understand the Nb3Sn homogenized properties and will further facilitate the material design and application.

scholarly journals Machine Learning-Based Detection of Graphene Defects with Atomic Precision

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Bowen Zheng ◽  
Grace X. Gu
Keyword(s):  
Machine Learning ◽  
Material Design ◽  
Thermal Vibration ◽  
Single Atom ◽  
Complex Data ◽  
Alternative Approach ◽  
Atomic Precision ◽  
Data Driven Approach ◽  
New Material ◽  
Domain Discretization

AbstractDefects in graphene can profoundly impact its extraordinary properties, ultimately influencing the performances of graphene-based nanodevices. Methods to detect defects with atomic resolution in graphene can be technically demanding and involve complex sample preparations. An alternative approach is to observe the thermal vibration properties of the graphene sheet, which reflects defect information but in an implicit fashion. Machine learning, an emerging data-driven approach that offers solutions to learning hidden patterns from complex data, has been extensively applied in material design and discovery problems. In this paper, we propose a machine learning-based approach to detect graphene defects by discovering the hidden correlation between defect locations and thermal vibration features. Two prediction strategies are developed: an atom-based method which constructs data by atom indices, and a domain-based method which constructs data by domain discretization. Results show that while the atom-based method is capable of detecting a single-atom vacancy, the domain-based method can detect an unknown number of multiple vacancies up to atomic precision. Both methods can achieve approximately a 90% prediction accuracy on the reserved data for testing, indicating a promising extrapolation into unseen future graphene configurations. The proposed strategy offers promising solutions for the non-destructive evaluation of nanomaterials and accelerates new material discoveries.

Artificial Neural Networks in Materials Science Application

2010 ◽  
Vol 20-23 ◽  
pp. 1211-1216 ◽  
Author(s):  
Wen Yu Zhang
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Materials Science ◽  
Material Design ◽  
Widespread Application ◽  
Plastic Processing ◽  
Artificial Neural ◽  
Science Application ◽  
Compound Materials ◽  
Material Preparation

Because but the artificial neural networks has the strong non-linear problem handling ability also the fault tolerance strong obtains the widespread application in the materials science.This article to its material design, the material preparation craft optimizes, the plastic processing, the heat treatment, the compound materials, corrode, domain and so on casting applications have carried on the discussion.

Fracture Mechanics of Functionally Graded Materials

MRS Bulletin ◽  
1995 ◽  
Vol 20 (1) ◽  
pp. 43-44 ◽  
Author(s):  
F. Erdogan
Keyword(s):  
Fracture Mechanics ◽  
Functionally Graded Materials ◽  
Bonding Strength ◽  
Thermal Stresses ◽  
Material Design ◽  
Thermomechanical Properties ◽  
Functionally Graded ◽  
Life Assessment ◽  
Inhomogeneous Materials ◽  
Graded Materials

In today's highly demanding technological environment, one of the main challenges in new material design is combining seemingly irreconcilable thermomechanical properties in the same component (e.g., high heat and corrosion resistance, high strength in elevated-temperature applications and high resistance to wear, and high toughness in load-bearing elements). In many cases, the problem may be solved by using coatings or by layering dissimilar materials. From a structural viewpoint, a major disadvantage of these techniques, particularly in ceramic coating of metals, has been the resulting high thermal and residual stresses and relatively poor bonding strength. Thus, in thin films, coatings, and layered materials, surface cracking and debonding or delamination have been common forms of mechanical failure. One effective way of reducing residual and thermal stresses and enhancing bonding strength has been to eliminate material-property discontinuities by grading the material composition near the interfaces or through the coating. These new materials, with continuously varying compositions or volume fractions, are known as functionally graded materials (FGMs).In developing FGMs, research on the mechanics, and particularly on the fracture mechanics of these inhomogeneous materials, is needed to provide technical support to materials scientists and to manufacturing and design engineers. In the past, fracture mechanics has been useful both as a screening tool during material processing and as a design and maintenance tool for service-life assessment. Broadly speaking, fracture mechanics involves studying the effect of the applied loads, the component/flaw geometry, and the environmental conditions on the fracture of engineering materials.

Application of Computer Simulation in Materials Science

2012 ◽  
Vol 189 ◽  
pp. 453-456
Author(s):  
Su Ping You
Keyword(s):  
Heat Treatment ◽  
Computer Simulation ◽  
Materials Science ◽  
Material Design ◽  
Science Research ◽  
Research Process ◽  
Simulation Methods ◽  
Simulation Technology ◽  
Material Microstructure ◽  
Qualitative Estimate

The computer simulation methods have become more and more widely used technique in materials science research. This paper discusses the importance of the application of computer simulation in the field of materials science. There are many application areas of computer simulation in materials science including the heat treatment, material microstructure, corrosion and protection, casting, and material design areas. It can be seen from the results of these applications that computer simulation technology is an efficient, realistic way to fully reflect the variation of the sample in a variety of research process. It can get rid of a rough qualitative estimate of production of the backward state.

scholarly journals The Attitude of Economic Students and Lecturers toward Economic English Material Based on Shariah Economy System

2017 ◽  
Vol 8 (4) ◽  
pp. 697
Author(s):  
Syamsul Una ◽  
Djamiah Husain ◽  
Abd. Halim
Keyword(s):  
Survey Research ◽  
Teaching And Learning ◽  
Positive Attitude ◽  
Material Design ◽  
Learning Material ◽  
New Material ◽  
Academic Year ◽  
Economy System

This research aimed to investigate Economic students and lecturers’ attitude toward economic English material based on shariah economy system. The material was the new material design that combined economic English in general and shariah economy concept in a teaching and learning material. This research is survey research. It was held at Economy Faculty of Dayanu Ikhsanuddin University Baubau Indonesia in 2015/2016 academic year. This research was limited to analyze both Economic students and lecturers’ attitude toward economic English material based on shariah economy system. The Participants of the study were 100 Economic students and 20 Economic lecturers. The instruments used were questionnaire and interview. All participants were invited to respond to questionnaires. And they then participated in follow-up interviews. The results of the study showed that the main score of students’ attitude was 42.24 and lecturers’ attitude was 41.50. From the main above indicated that both Economic students and lecturers had positive attitude toward economic English material based on shariah economy system.

scholarly journals Development of a Material Design Space for 4D-Printed Bio-Inspired Hygroscopically Actuated Bilayer Structures with Unequal Effective Layer Widths

Biomimetics ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 58
Author(s):  
Friederike Krüger ◽  
Rebecca Thierer ◽  
Yasaman Tahouni ◽  
Renate Sachse ◽  
Dylan Wood ◽  
...  
Keyword(s):  
Design Space ◽  
Solution Space ◽  
Material Design ◽  
Material Behavior ◽  
Beam Deflection ◽  
Fused Filament Fabrication ◽  
Young’S Moduli ◽  
New Material ◽  
Linear Material ◽  
Production Errors

(1) Significance of geometry for bio-inspired hygroscopically actuated bilayer structures is well studied and can be used to fine-tune curvatures in many existent material systems. We developed a material design space to find new material combinations that takes into account unequal effective widths of the layers, as commonly used in fused filament fabrication, and deflections under self-weight. (2) For this purpose, we adapted Timoshenko’s model for the curvature of bilayer strips and used an established hygromorphic 4D-printed bilayer system to validate its ability to predict curvatures in various experiments. (3) The combination of curvature evaluation with simple, linear beam deflection calculations leads to an analytical solution space to study influences of Young’s moduli, swelling strains and densities on deflection under self-weight and curvature under hygroscopic swelling. It shows that the choice of the ratio of Young’s moduli can be crucial for achieving a solution that is stable against production errors. (4) Under the assumption of linear material behavior, the presented development of a material design space allows selection or design of a suited material combination for application-specific, bio-inspired bilayer systems with unequal layer widths.

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