Fiber-Reinforced Polymer Composites: Manufacturing, Properties, and Applications
D. Rajak, Durgesh Devchand Pagar, P. Menezes
et al.
Composites have been found to be the most promising and discerning material available in this century. Presently, composites reinforced with fibers of synthetic or natural materials are gaining more importance as demands for lightweight materials with high strength for specific applications are growing in the market. Fiber-reinforced polymer composite offers not only high strength to weight ratio, but also reveals exceptional properties such as high durability; stiffness; damping property; flexural strength; and resistance to corrosion, wear, impact, and fire. These wide ranges of diverse features have led composite materials to find applications in mechanical, construction, aerospace, automobile, biomedical, marine, and many other manufacturing industries. Performance of composite materials predominantly depends on their constituent elements and manufacturing techniques, therefore, functional properties of various fibers available worldwide, their classifications, and the manufacturing techniques used to fabricate the composite materials need to be studied in order to figure out the optimized characteristic of the material for the desired application. An overview of a diverse range of fibers, their properties, functionality, classification, and various fiber composite manufacturing techniques is presented to discover the optimized fiber-reinforced composite material for significant applications. Their exceptional performance in the numerous fields of applications have made fiber-reinforced composite materials a promising alternative over solitary metals or alloys.
1267 sitasi
en
Materials Science, Medicine
Training
R. Sarre
Mechanical characterization of 3D-printed polymers
J. Dizon, Alejandro H. Espera, Qiyi Chen
et al.
1239 sitasi
en
Materials Science
3D printing using concrete extrusion: A roadmap for research
R. Buswell, W. R. L. D. Silva, Scott Z. Jones
et al.
Abstract Large-scale additive manufacturing processes for construction utilise computer-controlled placement of extruded cement-based mortar to create physical objects layer-by-layer. Demonstrated applications include component manufacture and placement of in-situ walls for buildings. These applications vary the constraints on design parameters and present different technical issues for the production process. In this paper, published and new work are utilised to explore the relationship between fresh and hardened paste, mortar, and concrete material properties and how they influence the geometry of the created object. Findings are classified by construction application to create a matrix of issues that identifies the spectrum of future research exploration in this emerging field.
1202 sitasi
en
Engineering
Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
F. Tao, Meng Zhang
With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0, Industrial Internet, manufacturing based on Cyber-Physical System, and Made in China 2025. However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.
1030 sitasi
en
Computer Science
Scalable-manufactured randomized glass-polymer hybrid metamaterial for daytime radiative cooling
Yao Zhai, Yaoguang Ma, S. N. David
et al.
1984 sitasi
en
Medicine, Materials Science
Additive manufacturing: scientific and technological challenges, market uptake and opportunities
S. Tofail, E. Koumoulos, A. Bandyopadhyay
et al.
Additive manufacturing (AM) is fundamentally different from traditional formative or subtractive manufacturing in that it is the closest to the ‘bottom up’ manufacturing where a structure can be built into its designed shape using a ‘layer-by-layer’ approach rather than casting or forming by technologies such as forging or machining. AM is versatile, flexible, highly customizable and, as such, can suite most sectors of industrial production. Materials to make these parts/objects can be of a widely varying type. These include metallic, ceramic and polymeric materials along with combinations in the form of composites, hybrid, or functionally graded materials (FGMs). The challenge remains, however, to transfer this ‘making’ shapes and structures into obtaining objects that are functional. A great deal of work is needed in AM in addressing the challenges related to its two key enabling technologies namely ‘materials’ and ‘metrology’ to achieve this functionality in a predictive and reproductive ways. The good news is that there is a significant interest in industry for taking up AM as one of the main production engineering route. Additive Manufacturing, in our opinion, is definitely at the cross-road from where this new, much-hyped but somewhat unproven manufacturing process must move towards a technology that can demonstrate the ability to produce real, innovative, complex and robust products.
1688 sitasi
en
Materials Science
Shaping the digital twin for design and production engineering
B. Schleich, N. Anwer, L. Mathieu
et al.
1061 sitasi
en
Engineering
Materials for Additive Manufacturing
D. Bourell, J. Kruth, M. Leu
et al.
Abstract Critical to the selection requirements for additive manufacturing (AM) is the need for appropriate materials. Materials requirements for AM include the ability to produce the feedstock in a form amenable to the specific AM process, suitable processing of the material by AM, capability to be acceptably post-processed to enhance geometry and properties, and manifestation of necessary performance characteristics in service. As AM has matured, specific classes of material have become associated with specific AM processes and applications. This paper gathers this information for each of the seven categories of ISO/ASTM AM categories. Polymers, metals, ceramics and composites are considered. Microstructural features affecting AM part properties are listed. Service properties of AM parts are described, including physical, mechanical, optical and electrical properties. An additive manufacturability index is proposed.
886 sitasi
en
Materials Science
Machine learning in manufacturing: advantages, challenges, and applications
Thorsten Wuest, Daniel Weimer, C. Irgens
et al.
The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means available. One area, which saw fast pace developments in terms of not only promising results but also usability, is machine learning. Promising an answer to many of the old and new challenges of manufacturing, machine learning is widely discussed by researchers and practitioners alike. However, the field is very broad and even confusing which presents a challenge and a barrier hindering wide application. Here, this paper contributes in presenting an overview of available machine learning techniques and structuring this rather complicated area. A special focus is laid on the potential benefit, and examples of successful applications in a manufacturing environment.
1153 sitasi
en
Engineering
Machine learning: Trends, perspectives, and prospects
Michael I. Jordan, T. Mitchell
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
J. Lee, B. Bagheri, Hung-An Kao
4276 sitasi
en
Engineering
Additive manufacturing technologies : 3D printing, rapid prototyping, and direct digital manufacturing
I. Gibson, D. Rosen, B. Stucker
4819 sitasi
en
Engineering
The status, challenges, and future of additive manufacturing in engineering
Wei Gao, Yunbo Zhang, Devarajan Ramanujan
et al.
2323 sitasi
en
Computer Science
Blockchain ready manufacturing supply chain using distributed ledger
S.A.S.P. Abeyratne, R. Monfared
When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors
A. B. L. de Sousa Jabbour, C. Jabbour, Cyril R. H. Foropon
et al.
Abstract This work makes the case for integrating two industrial waves that promise to re-shape current patterns of production and consumption: Industry 4.0 and environmentally-sustainable manufacturing. We argue that, although these two trends cannot be considered an industrial revolution, Industry 4.0-associated technologies nevertheless have the unique potential to unlock environmentally-sustainable manufacturing. Productive synergy between Industry 4.0 and environmentally-sustainable manufacturing relies on understanding the role played by eleven critical success factors, which organisations should consider carefully when simultaneously implementing Industry 4.0 and environmentally-sustainable manufacturing. As this is one of the first works to address whether or not Industry 4.0 can synergistically boost environmentally-sustainable manufacturing – with an emphasis on the critical success factors that can pose challenges and opportunities to this process – we also propose an integrative framework containing twelve research propositions. We hope this will stimulate the debate on the intersection of manufacturing waves, in particular the integration of Industry 4.0 and environmentally-sustainable manufacturing.
Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives
Pai Zheng, Honghui Wang, Z. Sang
et al.
839 sitasi
en
Computer Science
The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda
Sven-Vegard Buer, J. Strandhagen, F. Chan
708 sitasi
en
Business, Computer Science
Current and future lithium-ion battery manufacturing
Yangtao Liu, Ruihan Zhang, Jun Wang
et al.
Summary Lithium-ion batteries (LIBs) have become one of the main energy storage solutions in modern society. The application fields and market share of LIBs have increased rapidly and continue to show a steady rising trend. The research on LIB materials has scored tremendous achievements. Many innovative materials have been adopted and commercialized by the industry. However, the research on LIB manufacturing falls behind. Many battery researchers may not know exactly how LIBs are being manufactured and how different steps impact the cost, energy consumption, and throughput, which prevents innovations in battery manufacturing. Here in this perspective paper, we introduce state-of-the-art manufacturing technology and analyze the cost, throughput, and energy consumption based on the production processes. We then review the research progress focusing on the high-cost, energy, and time-demand steps of LIB manufacturing. Finally, we share our views of challenges in LIB manufacturing and propose future development directions for manufacturing research in LIBs.
Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies
Sachin S. Kamble, A. Gunasekaran, Neelkanth C. Dhone
The current literature claims the direct effects of industry 4.0 technologies (I4 T) on lean manufacturing practices (LMP) and sustainable organisational performance (SOP). LMP are also found to have a positive influence on SOP. However, the integrated effect of I4 T and LMP on SOP has not been empirically investigated. To address this gap, this research study investigates the indirect effects of I4 T on SOP with LMP as the mediating variable; furthermore, it aims to confirm or not the direct effects of I4 T on LMP and SOP. The study is based on data collected from 205 managers, working in 115 manufacturing firms. The findings suggest significant direct and indirect effects of I4 T on SOP and confirm the presence of LMP as a strong mediating variable. The results of the study extend the literature on I4 T by identifying I4 T as an enabler of LMP, leading to enhancement of the SOP. Implications and future research directions for academicians, practitioners, and consultants are provided.
577 sitasi
en
Business, Computer Science