Article
Materials Science, Multidisciplinary
Harri Junaedi, Muneer Baig, Abdulsattar Dawood, Essam Albahkali, Abdulhakim Almajid
Summary: The study introduces a simplified approach to correlate the experimental tensile strength values of randomly oriented short fiber reinforced polymer-based composites, deriving a constitutive model based on a rule of mixtures. The experimental results demonstrate the significant influence of fiber orientation and interfacial stress on the composite's tensile strength, with the proposed model showing good agreement with experimental data. The analytical model outperforms other models in accurately predicting the behavior of short fiber reinforced composites.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Materials Science, Composites
Guang Liu, Yi Xiong, Limin Zhou
Summary: This paper reviews existing additive manufacturing techniques for continuous fiber reinforced polymer composites from the perspective of functional requirements, identifies design opportunities within the material, process, and structure domains, and presents novel applications enabled by additive manufacturing.
COMPOSITES COMMUNICATIONS
(2021)
Article
Mechanics
Cheng Chen, Xue Li, Caiwei Li, Yingwu Zhou, Lili Sui
Summary: This study proposed a novel method to optimize flax fiber reinforced polymer (FRP) production and its application in reinforced concrete (RC) beams, showing that optimized flax FRP stirrups can reduce environmental impact intensity, while partially bonded flax FRP stirrups demonstrate significant improvements in most environmental impact categories.
COMPOSITE STRUCTURES
(2022)
Review
Engineering, Multidisciplinary
Janet Wong, Abdulmajeed Altassan, David W. Rosen
Summary: Additive manufacturing (AM) of fiber-reinforced composites is an important technology for producing complex and customized structures. AM processes allow for the fabrication of 3D structures with control over fiber position and orientation. However, there are design difficulties that need to be considered, such as manufacturing constraints and limitations on fiber placement and orientation. This paper provides a survey on the advances in multi-scale topology optimization, fiber orientation parameterization, micromechanics of fiber-matrix interactions, and process planning specific to the AM of complex fiber reinforced composites, summarizing recent research and outlining future directions.
COMPOSITES PART B-ENGINEERING
(2023)
Review
Polymer Science
Khairul Izwan Ismail, Tze Chuen Yap, Rehan Ahmed
Summary: Fused Deposition Modelling (FDM) is a rapidly developing additive manufacturing technology that can produce complex shapes in a short time. However, the mechanical properties of FDM printed parts are weaker than conventionally manufactured products. This review focuses on fiber reinforcement to improve the mechanical, thermal and electrical properties of FDM printed parts. Different fiber types, fiber insertion techniques, and manufacturing methods are discussed. Three different methods of embedding fibers in thermoplastics are briefly reviewed, and the performance of the composites produced by these methods is discussed.
Article
Polymer Science
Daniel K. K. Cavalcanti, Jorge S. S. Neto, Henrique F. M. de Queiroz, Yiyun Wu, Victor F. S. Neto, Mariana D. Banea
Summary: The objective of this study was to develop short curaua fiber-reinforced polylactic acid (PLA) composites using fused deposition modeling and evaluate their mechanical properties and thermal stability. The results showed that the weight fraction of the fiber was the main factor affecting the mechanical properties of the materials. Among the different fiber lengths tested, the PLA composites reinforced with 3 mm length and 2% weight fraction of curaua fiber exhibited the best mechanical and thermal properties.
Review
Materials Science, Composites
Barshan Dev, Md. Ashikur Rahman, Md. Reazuddin Repon, Mohammed M. M. Rahman, Aminoddin Haji, Yasir Nawab
Summary: Natural fiber reinforced polymer composites (NFRPCs) are promising eco-friendly alternatives to synthetic fiber composites due to their biodegradability, renewability, low environmental impact, and lightweight properties. The development of NFRPCs has significantly increased in the past decade, meeting the growing demands of industrial sectors. This review provides a comprehensive analysis of the thermal and acoustic properties of NFRPCs, summarizing different natural fibers, their chemical compositions, composite preparation, and future research directions.
POLYMER COMPOSITES
(2023)
Article
Chemistry, Physical
Sebastian Kuschmitz, Arne Schirp, Johannes Busse, Hagen Watschke, Claudia Schirp, Thomas Vietor
Summary: Additive manufacturing, especially material extrusion (MEX), has gained attention due to its advantages in producing complex, load-path optimized parts. To expand its application fields, high-strength and lightweight materials like continuous carbon and flax fibers are needed. Bonding fiber-matrix in one process step allows for a wider variety of material combinations.
Article
Materials Science, Composites
Okan Celik, Abdulkadir Yasar, Berkay Karacor
Summary: Driven by environmental concerns and sustainability issues, researchers have developed novel composite structures in various industries. This study focuses on designing and manufacturing aramid and basalt fiber reinforced polymer hybrid composites as an alternative to carbon fiber reinforced polymer (CFRP) composites. Different fiber ratios and stacking sequences were used to examine their effect on mechanical characteristics. Test results showed that tensile strength was dependent on fiber ratio and sequence, with CFRPs having the highest tensile strength. Impact test results revealed that basalt/aramid fiber hybrid composites had higher energy absorption capability compared to CFRPs. Additionally, increasing basalt fiber ratio increased water absorption capacity, while using aramid fiber in the upper layer decreased ignition loss and increased hardness values. Scanning electron microscopy analysis showed weaker fiber-matrix bonding in hybrid samples compared to CFRPs.
POLYMER COMPOSITES
(2023)
Review
Materials Science, Composites
Ramesh Periyasamy, Mohit Hemanth Kumar, Sanjay Mavinkere Rangappa, Suchart Siengchin
Summary: Additive manufacturing (AM) is increasingly used due to its simple operating procedures and material-saving advantages. Fused deposition modeling (FDM), a well-known AM process, faces the challenge of lack of strength and durability in pure thermoplastic-based products. This article explores the use of natural reinforced polymer composites as a solution, presenting their mechanical and thermal properties based on natural filler percentage for the FDM process.
POLYMER COMPOSITES
(2023)
Article
Materials Science, Composites
Nicola Magino, Jonathan Kobler, Heiko Andra, Fabian Welschinger, Ralf Mueller, Matti Schneider
Summary: In this study, a computational strategy for characterizing short-fiber reinforced polymers under high-cycle fatigue loading is proposed. The strategy utilizes a mean-stress dependent fatigue-damage model and computational multiscale approaches to reduce the necessary mechanical tests. The effectiveness of the proposed strategy is demonstrated through simulation of stiffness degradation in fatigue experiments.
COMPOSITES SCIENCE AND TECHNOLOGY
(2022)
Article
Materials Science, Composites
Md Atikur Rahman, Md Zahirul Islam, Luke Gibbon, Chad A. Ulven, John J. La Scala
Summary: This study addresses the challenge of 3D printing with continuous fiber-reinforced thermoset composite by developing a 3D printer capable of printing a UV curable resin system reinforced with continuous carbon fiber. The variations of printed composites' mechanical properties depending on the fiber tow characteristic were investigated, with two different carbon fiber types and their associated tow twist count and sizing evaluated. Burn-off tests were used to determine the printed composites' final fiber volume fraction, and predicted strength and modulus values were compared against experimental values, showing good agreement for modulus but significant deviation for strength.
POLYMER COMPOSITES
(2021)
Article
Polymer Science
Hugo Vidinha, Ricardo Branco, Maria Augusta Neto, Ana M. Amaro, Paulo Reis
Summary: This paper presents a numerical-based approach to predict the stress-strain response of fiber-reinforced polymer composites exposed to different seawater immersion times. The method was validated by comparing the simulated results with experimental data, and it was also used to identify critical surfaces for protecting mechanical components from marine environments.
Article
Chemistry, Physical
Wiem Nasri, Zied Driss, Ridha Djebali, Kyu-Yeon Lee, Hyung-Ho Park, Abderazak Bezazi, Paulo N. B. Reis
Summary: This paper reports the thermal behavior of plain-woven CFRP composites using simulation at the micro-, meso-, and macro-scales. The numerical prediction of thermal conductivity was compared to experimental findings and analytical models, showing good results. A parametric study revealed that fiber volume fraction, temperature, and interphase fiber/matrix thickness significantly influenced the thermal conductivity of the composite, while matrix porosity had a relatively smaller impact.
Article
Construction & Building Technology
Guocheng Luo, Xue Li, Yingwu Zhou, Lili Sui, Cheng Chen
Summary: This study comprehensively evaluated the feasibility of using environmentally friendly natural fiber reinforced polymer stirrups in reinforced concrete structures in terms of structural performance and environmental impact. The results showed that NFRP stirrups provided sufficient shear capacity and maintained satisfactory ductility, with slightly lower environmental impacts than steel stirrups.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Environmental
Xinkai Fu, Danielle N. Beatty, Gabrielle G. Gaustad, Gerbrand Ceder, Richard Roth, Randolph E. Kirchain, Michele Bustamante, Callie Babbitt, Elsa A. Olivetti
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2020)
Article
Chemistry, Medicinal
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2020)
Article
Construction & Building Technology
Brian Traynor, Hugo Uvegi, Elsa Olivetti, Barbara Lothenbach, Rupert J. Myers
CEMENT AND CONCRETE RESEARCH
(2020)
Article
Materials Science, Ceramics
Hugo Uvegi, Zach Jensen, Trong Nghia Hoang, Brian Traynor, Tunahan Aytas, Richard T. Goodwin, Elsa A. Olivetti
Summary: Efforts have been made to expand the range of low-carbon alternatives in cement and concrete production, with materials with appropriate SiO2, Al2O3, and CaO concentrations identified through literature mining. Various supervised and semi-supervised models were utilized to predict dissolution rates, with results showing that models trained on data from disparate scientific communities were adequately predictive.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2021)
Review
Physics, Applied
Elsa A. Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova, Gerbrand Ceder, Thomas Yong-Jin Han, Anna M. Hiszpanski
APPLIED PHYSICS REVIEWS
(2020)
Article
Chemistry, Multidisciplinary
Zach Jensen, Soonhyoung Kwon, Daniel Schwalbe-Koda, Cecilia Paris, Rafael Gomez-Bombarelli, Yuriy Roman-Leshkov, Avelino Corma, Manuel Moliner, Elsa A. Olivetti
Summary: Organic structure directing agents (OSDAs) play a crucial role in synthesizing micro- and mesoporous materials, especially zeolites, but their interaction mechanisms with zeolite frameworks are not well understood. A data-driven approach was used to establish OSDA-zeolite relationships through a comprehensive database of 5,663 synthesis routes. Structural features of OSDAs were analyzed using WHIM descriptors to relate them to different types of zeolites, and a generative neural network was adapted to suggest new OSDA candidates for specific zeolite structures and gel chemistry.
ACS CENTRAL SCIENCE
(2021)
Article
Chemistry, Physical
Alexandru B. Georgescu, Peiwen Ren, Aubrey R. Toland, Shengtong Zhang, Kyle D. Miller, Daniel W. Apley, Elsa A. Olivetti, Nicholas Wagner, James M. Rondinelli
Summary: Metal-insulator transition (MIT) compounds can exhibit metallic or insulating behavior depending on physical conditions, with a subset driven by temperature. Research on thermally driven MIT materials is limited by scientists' domain knowledge and focus on a subset of possible features. Building a material database through natural language processing allows for the identification of new features and classification of MIT materials.
CHEMISTRY OF MATERIALS
(2021)
Article
Multidisciplinary Sciences
Daniel Schwalbe-Koda, Soonhyoung Kwon, Cecilia Paris, Estefania Bello-Jurado, Zach Jensen, Elsa Olivetti, Tom Willhammar, Avelino Corma, Yuriy Roman-Leshkov, Manuel Moliner, Rafael Gomez-Bombarelli
Summary: This study successfully controlled phase selectivity in templated zeolite synthesis from first principles by combining high-throughput atomistic simulations, literature mining, and human-computer interaction. The proposed binding metrics distilled from simulations rationalized framework competition in the design of organic structure-directing agents, allowing for the realization of an intergrowth zeolite through a single bi-selective template.
Review
Nanoscience & Nanotechnology
Katrin Daehn, R. Basuhi, Jeremy Gregory, Maya Berlinger, Vrindaa Somjit, Elsa A. Olivetti
Summary: This review discusses the challenge of reducing emissions impact of materials production, evaluating the potential for decarbonizing the cement, metals, and chemical manufacturing industries, and suggesting opportunities for emission reduction through innovations along length scales from atoms to materials markets.
NATURE REVIEWS MATERIALS
(2022)
Article
Green & Sustainable Science & Technology
Olivia Pfeiffer, Aliza Khurram, Elsa A. Olivetti, Betar M. Gallant
Summary: Researchers have proposed electrochemical technologies that utilize CO2 to reduce emissions. The study found that a configuration using Na as the primary component can decrease emissions by 28% (up to 74% under ideal conditions) compared to conventional production methods.
JOURNAL OF INDUSTRIAL ECOLOGY
(2022)
Article
Multidisciplinary Sciences
Olivia P. Pfeiffer, Haihao Liu, Luca Montanelli, Marat Latypov, Fatih G. Sen, Vishwanath Hegadekatte, Elsa A. Olivetti, Eric R. Homer
Summary: This study provides two datasets, one containing information on the chemical compositions of aluminum alloys, and the other containing information on the mechanical properties of aluminum alloys, to help researchers accelerate the discovery of new alloys.
Article
Green & Sustainable Science & Technology
Karan Bhuwalka, Eunseo Choi, Elizabeth A. Moore, Richard Roth, Randolph E. Kirchain, Elsa A. Olivetti
Summary: Predicting metal consumption is crucial for criticality assessments and sustainability analyses. This paper proposes a Bayesian hierarchical model that can identify demand parameters at both regional and sector levels, improving material demand projections and informing policy-making and investment decisions.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Editorial Material
Multidisciplinary Sciences
Stephen M. Bell, Samuel J. Raymond, He Yin, Wenzhe Jiao, Daniel S. Goll, Philippe Ciais, Elsa Olivetti, Victor O. Leshyk, Cesar Terrer
Summary: Despite being prevalent worldwide, post-agricultural landscapes are the least constrained human-induced land carbon sinks. To understand their role in rebuilding the natural carbon stocks through ecosystem restoration, it is important to gain a better understanding of their spatial and temporal legacies.
NATURE COMMUNICATIONS
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Brian Traynor, Hugo Uvegi, Piyush Chaunsali, Elsa Olivetti
REWAS 2019: MANUFACTURING THE CIRCULAR MATERIALS ECONOMY
(2019)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
