Article
Materials Science, Characterization & Testing
Julia Maurer, Michael Jerabek, Dietmar Salaberger, Michael Thor, Johann Kastner, Zoltan Major
Summary: In situ investigations using X-ray computed tomography have become crucial for studying damage mechanisms in materials. This study focuses on the relaxation behavior of injection molded glass fiber reinforced polypropylene and proposes two approaches for optimizing in situ investigations.
Article
Materials Science, Composites
Sibel Yildiz, Bagdagul Karaagac, Selen Gul Guzelis
Summary: Using composite waste as filler can result in a more thixotropic resin for easier gel-coat application and reduce linear shrinkage in resulting composites. Despite a tolerable loss in mechanical properties, larger waste particles lead to a 50-degree Celsius increase in glass transition temperature.
POLYMER COMPOSITES
(2021)
Article
Engineering, Multidisciplinary
Xingxing Lu, Yan Shen, Tuo Xu, Huihui Sun, Lei Zhu, Jin Zhang, Tianying Chang, Hong-Liang Cui
Summary: This study presents a novel strategy for detecting porosity in GFRP using terahertz waves. By analyzing the transmission and absorption spectra of GFRP, a porosity prediction model is established using support vector regression and ensemble methods. The results show that this approach is robust and accurate in porosity analysis, and can be applied in industrial applications where nondestructive on-line detection of porosity in polymer composites is desired.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Materials Science, Composites
Yang Hua, Fei Li, Ning Hu, Shao-Yun Fu
Summary: This study demonstrates that grafting graphene oxide (GO) coating onto glass fibers can greatly improve the frictional stability and reduce the friction coefficient parallel to the fiber alignment under low pressures in glass fiber reinforced polymer (GFRP) composites.
COMPOSITES SCIENCE AND TECHNOLOGY
(2022)
Article
Polymer Science
Majed H. Moosa, Mohamed Abu-Okail, Ahmed Abu-Oqail, Samah A. Al-Shelkamy, W. M. Shewakh, M. Abdel Ghafaar
Summary: This study explores the influence of geometric alternatives for fiber directions on the structural and tribological properties of glass and carbon fibers in polymeric composite fabrics for bushing applications. The results reveal that carbon fibers exhibit better fusion capability with epoxy resin, resulting in lower wear volume loss and friction coefficient.
Article
Construction & Building Technology
Fernanda Martins Cavalcante de Melo, Anna Cristina Araujo de Jesus Cruz, Leonardo Dantas de Souza Netto, Marcos Antonio de Souza Simplicio
Summary: The study found that the addition of hybrid fibers reduced the maximum bond strength of concrete, but had a positive influence on the ductility of concrete specimens with larger diameter bars.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Chemistry, Physical
Harri Junaedi, Tabrej Khan, Tamer A. Sebaey
Summary: This study investigates the influence of glass fiber content in rigid polyurethane foam on the mechanical properties of the sandwich structure made of carbon-fiber-reinforced polymer facing sheets. Flexural and compression tests were conducted, and the morphology of the polyurethane composite foams at different contents was observed. The results show that the mechanical properties of the sandwich structure improve with increased milled fiber loading, but then decrease after reaching a maximum at 10 wt.% loading. The density of the foam also increases with higher glass fiber loading.
Article
Automation & Control Systems
Patrick Bleiziffer, Juergen Hofmann, Robert Zboray, Thorsten Wiege, Roger Herger
Summary: The orientation of fibers in glass fiber reinforced polymers significantly impacts their mechanical properties. This study presents two novel approaches, one using convolutional neural networks and the other directional analysis by inertia tensor evaluation, to predict fiber orientations. By efficiently creating synthetic training data for the CNN through molecular dynamics simulations, the accuracy of predicting fiber orientations is comparable to commercially available products, while achieving faster computational speeds. These methods extend the capabilities of weighted volume approaches and are particularly suitable for densely-packed fibers encountered in industrial settings.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Mechanics
Jianqiang Wang, Jinfei Cao, Xiaofa Yang, Xiaozhi Hu, Pengmin Lu, Feng Jin
Summary: This study analyzed the fracture performance of a composite material with highly heterogeneous and anisotropic microstructures using a boundary effect model. By testing notched specimens with different parameters, the maximum load and crack growth of the material were determined. The results showed noticeable delamination crack growth around the notch tip in the material.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Materials Science, Composites
Yanhui Zhao, Liyan Wang, Yunsheng Chong, Yanming Chen, Rongrong Zheng, Longyun Zhang
Summary: Glass fiber reinforced nylon56 composites with different content of high-performance glass fiber were prepared and showed significantly improved mechanical properties. The composites have low density and excellent performance, which can be widely used in locomotive and wind power applications.
POLYMER COMPOSITES
(2022)
Review
Polymer Science
Zhenya Zhang, Yongcheng Ji, Dayang Wang
Summary: This paper reviews the research on the mechanical properties of fiber-reinforced recycled brick aggregate concrete. It demonstrates that the addition of fibers can strengthen the inherent deficits and deficiencies of concrete containing recycled aggregates and enlarge its application range. The effects of the content of broken brick and different categories and contents of fiber on the mechanical properties of recycled concrete are analyzed. The paper also presents the problems to be solved in research on the mechanical properties of fiber-reinforced recycled brick aggregate concrete and provides research suggestions and prospects. This review serves as a reference for further research in this field and the popularization and application of fiber-reinforced recycled concrete.
Article
Polymer Science
Nur Izzah Nabilah Haris, R. A. Ilyas, Mohamad Zaki Hassan, S. M. Sapuan, Atiqah Afdzaluddin, Khairur Rijal Jamaludin, Sheikh Ahmad Zaki, Faizir Ramlie
Summary: This study investigated the properties of basalt/woven glass fiber reinforced polymer hybrid polyester composites using FTIR, DMA, and TMA analyses. The results indicated that the hybrid composites exhibited higher mechanical and thermal properties compared to single reinforced composites.
Article
Construction & Building Technology
Tao Zhang, Danying Gao
Summary: This paper presents the uniaxial tensile experiment results and analysis of a new steel fiber-reinforced-carbon/glass hybrid composite bars (S-CG HCBs). The effects of carbon/glass ratio, steel fiber replacement ratio, fiber volume fraction, and fiber arrangement on the tensile properties of S-CG HCBs were investigated. The results showed that adding steel fiber modified the tensile stress-strain relationship and effectively controlled the mechanical properties of S-CG HCBs, including yield stress, rupture stress, failure stress, and stress drop at carbon fiber fracture. A tensile stress-strain model considering the fiber distribution pattern was proposed.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Mehdi Mahdavi, Abbas Zolfaghari
Summary: This study aims to improve the recovery forces of shape memory polymers (SMPs) through material extrusion additive manufacturing. By using glass fiber (GF) as reinforcement and manufacturing multi-layer composite specimens, it was found that PLA with 6.62% GF exhibited the best recovery force, which was further optimized through annealing heat treatment.
COMPOSITES PART B-ENGINEERING
(2024)
Article
Construction & Building Technology
Tao Jiang, Ying Wang, Shanshan Shi, Nan Yuan, Rong Ma, Xinfeng Wu, Danda Shi, Kai Sun, Yuantao Zhao, Wenge Li, Jinhong Yu
Summary: The continuous development of the construction industry has led to changes in concrete, with lightweight and high-strength concrete becoming increasingly important. By using AR-EMS and glass fibers as additives, the compressive strength of lightweight concrete can be effectively enhanced.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Materials Science, Characterization & Testing
Sascha Senck, Michael Happl, Michael Reiter, Michael Scheerer, Manuel Kendel, Jonathan Glinz, Johann Kastner
NONDESTRUCTIVE TESTING AND EVALUATION
(2020)
Article
Materials Science, Characterization & Testing
Bernhard Froehler, Tim Elberfeld, Torsten Moeller, Hans-Christian Hege, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
NONDESTRUCTIVE TESTING AND EVALUATION
(2020)
Article
Materials Science, Multidisciplinary
Jonathan Glinz, Jan Sleichrt, Daniel Kytyr, Santhosh Ayalur-Karunakaran, Simon Zabler, Johann Kastner, Sascha Senck
Summary: The study presents a multimodal approach to quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinforced polymers manufactured by vacuum infusion. The use of TLGI-XCT provides enhanced contrast between polymer matrix and carbon fibers at lower spatial resolutions, facilitating the assessment of resin-rich areas. The combination of DPC and DFC helps in quantifying resin-rich areas and understanding their distribution patterns within the composite material.
JOURNAL OF MATERIALS SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Johann Kastner, Stefan Zaunschirm, Sarah Rendl, Erenilton Pereira da Silva
Summary: This study investigated the internal architecture and microstructure of cast and hot rolled ZK60 alloys with different rare earth metal content. The results showed that the addition of rare earth metals improved the homogeneity of the microstructure, while rheocasting led to a more uniform distribution of Zr-rich particles.
MATERIALS CHARACTERIZATION
(2021)
Article
Food Science & Technology
Jaqueline Auer, Michael Reiter, Sascha Senck, Andreas Reiter, Johann Kastner, Katrin Mathmann
Summary: The presence of eyes in Swiss-type cheese is an important indicator of quality. Research has shown that the duration of pre-maturing and the maturing temperature can influence the formation of eyes, and not all eyes have the same growth potential.
FOOD STRUCTURE-NETHERLANDS
(2021)
Article
Engineering, Multidisciplinary
Herminso Villarraga-Gomez, Artem Amirkhanov, Christoph Heinzl, Stuart T. Smith
Summary: This paper evaluates the dimensional accuracy of industrial X-ray computed tomography (CT) measurements in relation to sample orientation within the measurement volume. Experimental data is compared to simulated predictions, showing that optimal tilt angles can minimize measurement errors.
Article
Computer Science, Software Engineering
B. Froehler, C. Anthes, F. Pointecker, J. Friedl, D. Schwajda, A. Riegler, S. Tripathi, C. Holzmann, M. Brunner, H. Jodlbauer, H-C Jetter, C. Heinzl
Summary: Cross-virtuality analytics (XVA) is a novel field that aims to seamlessly integrate different devices and support multiple users through transitional and collaborative interfaces. This work provides a comprehensive analysis of the current state of XVA, including methods of establishing cross-virtuality, visualization and interaction techniques, system evaluation, and domains of application.
COMPUTER GRAPHICS FORUM
(2022)
Article
Materials Science, Characterization & Testing
A. Gall, B. Froehler, J. Maurer, J. Kastner, C. Heinzl
Summary: We demonstrate a collaborative visualization framework that combines traditional desktop-based setup with virtual reality-based system for analyzing rich X-Ray Computed Tomography Data. This framework supports experts in analyzing objects and their characteristics by providing detailed spatial impressions and collaborative capabilities through virtual reality technology.
NONDESTRUCTIVE TESTING AND EVALUATION
(2022)
Article
Materials Science, Characterization & Testing
M. Yosifov, M. Reiter, S. Heupl, C. Gusenbauer, B. Froehler, R. Fernandez- Gutierrez, J. De Beenhouwer, J. Sijbers, J. Kastner, C. Heinzl
Summary: In this study, we use X-ray computed tomography (XCT) for in-line inspection of aluminum cylinder heads and apply and adapt the probability of detection (POD) methods. By using a simulation tool to generate virtual X-ray radiographs, the need for manufacturing specimens with known defect characteristics is eliminated. The virtual images are analyzed using an automated defect detection method to quantify defects. The hit/miss approach is used to create the defect curves. The results demonstrate the advantages of numerical simulations in quantifying and improving defect detection.
NONDESTRUCTIVE TESTING AND EVALUATION
(2022)
Article
Crystallography
Jan Bajer, Stefan Zaunschirm, Bernhard Plank, Michaela Slapakova, Lucia Bajtosova, Miroslav Cieslar, Johann Kastner
Summary: Inhomogeneous structure with central segregation occurs in commercial twin-roll cast AA 3003 aluminum alloy, where segregations form as manganese, iron, and silicon-rich channels spread in the rolling direction. Diffusion of silicon during annealing leads to the formation and growth of voids due to the Kirkendall effect.
Article
Materials Science, Characterization & Testing
Tim Elberfeld, Bernhard Froehler, Christoph Heinzl, Jan Sijbers, Jan De Beenhouwer
Summary: A new framework is proposed for reconstructing curved fibres from X-ray computed tomography data of glass fibre-reinforced composites. It can detect fibres in a low-dose, low-resolution CT scan, and estimate their parameters directly from a few high-resolution 2D projection images. The framework is validated on both simulated and real data, showing robustness to noise and requiring less than 10 high-resolution projections for accurate estimates. It can also improve existing estimation frameworks based on full 3D scans.
NONDESTRUCTIVE TESTING AND EVALUATION
(2023)
Article
Computer Science, Software Engineering
Ziga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondrej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola
Summary: This system allows users to form groups of objects and control the visibility of each group on a per-instance basis, effectively exploring crowded volumetric data.
Article
Computer Science, Software Engineering
Sarkis Halladjian, Haichao Miao, David Kouril, M. Eduard Groller, Ivan Viola, Tobias Isenberg
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Tobias Klein, Ivan Viola, Eduard Groeller, Peter Mindek
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)