Metal additive manufacturing in aerospace: A review
B. Blakey-Milner, P. Gradl, G. Snedden
et al.
Abstract Metal additive manufacturing involves manufacturing techniques that add material to produce metallic components, typically layer by layer. The substantial growth in this technology is partly driven by its opportunity for commercial and performance benefits in the aerospace industry. The fundamental opportunities for metal additive manufacturing in aerospace applications include: significant cost and lead-time reductions, novel materials and unique design solutions, mass reduction of components through highly efficient and lightweight designs, and consolidation of multiple components for performance enhancement or risk management, e.g. through internal cooling features in thermally loaded components or by eliminating traditional joining processes. These opportunities are being commercially applied in a range of high-profile aerospace applications including liquid-fuel rocket engines, propellant tanks, satellite components, heat exchangers, turbomachinery, valves, and sustainment of legacy systems. This paper provides a comprehensive review of metal additive manufacturing in the aerospace industry (from industrial/popular as well as technical literature). This provides a current state of the art, while also summarizing the primary application scenarios and the associated commercial and technical benefits of additive manufacturing in these applications. Based on these observations, challenges and potential opportunities are highlighted for metal additive manufacturing for each application scenario.
1717 sitasi
en
Materials Science
The environmental price of fast fashion
K. Niinimäki, G. Peters, H. Dahlbo
et al.
An Overview on 3D Printing Technology: Technological, Materials, and Applications
N. Shahrubudin, T. C. Lee, R. Ramlan
Abstract Digital fabrication technology, also referred to as 3D printing or additive manufacturing, creates physical objects from a geometrical representation by successive addition of materials. 3D printing technology is a fast-emerging technology. Nowadays, 3D Printing is widely used in the world. 3D printing technology increasingly used for the mass customization, production of any types of open source designs in the field of agriculture, in healthcare, automotive industry, locomotive industry and aviation industries. 3D printing technology can print an object layer by layer deposition of material directly from a computer aided design (CAD) model. This paper presents the overview of the types of 3D printing technologies, the application of 3D printing technology and lastly, the materials used for 3D printing technology in manufacturing industry.
1557 sitasi
en
Engineering
Corporate social responsibility and environmental performance: The mediating role of environmental strategy and green innovation
S. Kraus, S. Rehman, F. García
This study investigates the influence of corporate social responsibility (CSR) on environmental performance, using data from 297 large manufacturing firms in Malaysia. Our results show that CSR has no direct significant influence on environmental performance, but is positively correlated to environmental strategy and green innovation, which again improve environmental performance, i.e. they significantly mediate between CSR and environmental performance. Our study offers a valuable model for general managers of manufacturing organizations and policymakers to manage CSR, environmental strategy, and green innovation in examining environmental performance. It can help to assist general managers of large manufacturing organizations to strengthen their internal resources like CSR, environmental strategy, and green innovation to enhance environmental performance.
Digital Twin in manufacturing: A categorical literature review and classification
W. Kritzinger, M. Karner, Georg Traar
et al.
Abstract The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different over the disparate disciplines. The aim of this paper is to provide a categorical literature review of the DT in manufacturing and to classify existing publication according to their level of integration of the DT. Therefore, it is distinct between Digital Model (DM), Digital Shadow (DS) and Digital Twin. The results are showing, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS.
2475 sitasi
en
Computer Science
Additive manufacturing of metallic components – Process, structure and properties
T. DebRoy, H. Wei, J. Zuback
et al.
6923 sitasi
en
Materials Science
Industry 4.0: state of the art and future trends
Lida Xu, E. Xu, L. Li
2525 sitasi
en
Engineering, Computer Science
Literature review of Industry 4.0 and related technologies
Ercan Öztemel, S. Gursev
1623 sitasi
en
Computer Science
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
T. Ngo, A. Kashani, Gabriele Imbalzano
et al.
Abstract Freedom of design, mass customisation, waste minimisation and the ability to manufacture complex structures, as well as fast prototyping, are the main benefits of additive manufacturing (AM) or 3D printing. A comprehensive review of the main 3D printing methods, materials and their development in trending applications was carried out. In particular, the revolutionary applications of AM in biomedical, aerospace, buildings and protective structures were discussed. The current state of materials development, including metal alloys, polymer composites, ceramics and concrete, was presented. In addition, this paper discussed the main processing challenges with void formation, anisotropic behaviour, the limitation of computer design and layer-by-layer appearance. Overall, this paper gives an overview of 3D printing, including a survey on its benefits and drawbacks as a benchmark for future research and development.
6693 sitasi
en
Materials Science
Industry 4.0 – A Glimpse
Saurabh Vaidya, P. Ambad, S. Bhosle
Abstract Digitization and intelligentization of manufacturing process is the need for today’s industry. The manufacturing industries are currently changing from mass production to customized production. The rapid advancements in manufacturing technologies and applications in the industries help in increasing productivity. The term Industry 4.0 stands for the fourth industrial revolution which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is still visionary but a realistic concept which includes Internet of Things, Industrial Internet, Smart Manufacturing and Cloud based Manufacturing. Industry 4.0 concerns the strict integration of human in the manufacturing process so as to have continuous improvement and focus on value adding activities and avoiding wastes. The objective of this paper is to provide an overview of Industry 4.0 and understanding of the nine pillars of Industry 4.0 with its applications and identifying the challenges and issues occurring with implementation the Industry 4.0 and to study the new trends and streams related to Industry 4.0.
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Qinglin Qi, F. Tao
With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.
1240 sitasi
en
Computer Science
Additive Manufacturing Technologies
Sandeep Rathee, Manu Srivastava, S. Maheshwari
et al.
1907 sitasi
en
Engineering
Data-driven smart manufacturing
F. Tao, Qinglin Qi, Ang Liu
et al.
Abstract The advances in the internet technology, internet of things, cloud computing, big data, and artificial intelligence have profoundly impacted manufacturing. The volume of data collected in manufacturing is growing. Big data offers a tremendous opportunity in the transformation of today’s manufacturing paradigm to smart manufacturing. Big data empowers companies to adopt data-driven strategies to become more competitive. In this paper, the role of big data in supporting smart manufacturing is discussed. A historical perspective to data lifecycle in manufacturing is overviewed. The big data perspective is supported by a conceptual framework proposed in the paper. Typical application scenarios of the proposed framework are outlined.
1419 sitasi
en
Computer Science
Intelligent Manufacturing in the Context of Industry 4.0: A Review
R. Zhong, X. Xu, E. Klotz
et al.
Abstract Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.
2081 sitasi
en
Engineering
Polymers for 3D Printing and Customized Additive Manufacturing
S. Ligon, R. Liska, J. Stampfl
et al.
Additive manufacturing (AM) alias 3D printing translates computer-aided design (CAD) virtual 3D models into physical objects. By digital slicing of CAD, 3D scan, or tomography data, AM builds objects layer by layer without the need for molds or machining. AM enables decentralized fabrication of customized objects on demand by exploiting digital information storage and retrieval via the Internet. The ongoing transition from rapid prototyping to rapid manufacturing prompts new challenges for mechanical engineers and materials scientists alike. Because polymers are by far the most utilized class of materials for AM, this Review focuses on polymer processing and the development of polymers and advanced polymer systems specifically for AM. AM techniques covered include vat photopolymerization (stereolithography), powder bed fusion (SLS), material and binder jetting (inkjet and aerosol 3D printing), sheet lamination (LOM), extrusion (FDM, 3D dispensing, 3D fiber deposition, and 3D plotting), and 3D bioprinting. The range of polymers used in AM encompasses thermoplastics, thermosets, elastomers, hydrogels, functional polymers, polymer blends, composites, and biological systems. Aspects of polymer design, additives, and processing parameters as they relate to enhancing build speed and improving accuracy, functionality, surface finish, stability, mechanical properties, and porosity are addressed. Selected applications demonstrate how polymer-based AM is being exploited in lightweight engineering, architecture, food processing, optics, energy technology, dentistry, drug delivery, and personalized medicine. Unparalleled by metals and ceramics, polymer-based AM plays a key role in the emerging AM of advanced multifunctional and multimaterial systems including living biological systems as well as life-like synthetic systems.
3010 sitasi
en
Chemistry, Medicine
Digital twin-driven product design, manufacturing and service with big data
F. Tao, Jiangfeng Cheng, Qinglin Qi
et al.
2317 sitasi
en
Engineering
Cyber-physical systems in manufacturing
L. Monostori, B. Kádár, T. Bauernhansl
et al.
1432 sitasi
en
Engineering
Smart manufacturing: Past research, present findings, and future directions
H. Kang, J. Y. Lee, Sang-Su Choi
et al.
1176 sitasi
en
Engineering
Topological design and additive manufacturing of porous metals for bone scaffolds and orthopaedic implants: A review.
Xiaojian Wang, Shanqing Xu, Shiwei Zhou
et al.
1912 sitasi
en
Medicine, Materials Science
Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems
V. Alcácer, V. Cruz-Machado
Abstract Industry 4.0 leads to the digitalization era. Everything is digital; business models, environments, production systems, machines, operators, products and services. It’s all interconnected inside the digital scene with the corresponding virtual representation. The physical flows will be mapped on digital platforms in a continuous manner. On a higher level of automation, many systems and software are enabling factory communications with the latest trends of information and communication technologies leading to the state-of-the-art factory, not only inside but also outside factory, achieving all elements of the value chain on a real-time engagement. Everything is smart. This disruptive impact on manufacturing companies will allow the smart manufacturing ecosystem paradigm. Industry 4.0 is the turning point to the end of the conventional centralized applications. The Industry 4.0 environment is scanned on this paper, describing the so-called enabling technologies and systems over the manufacturing environment.
874 sitasi
en
Computer Science