Wang, Xin;Jiang, Man;Zhou, Zuowan;Gou, Jihua;Hui, David
Composites Part B: Engineering,2017年110:442-458 ISSN：1359-8368
[Wang, Xin; Gou, Jihua] Composite Materials and Structures Laboratory, Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, 32816, United States;[Hui, David] Composite Material Research Laboratory, Department of Mechanical Engineering, University of New Orleans, LA, 70148, United States;[Zhou, Zuowan; Jiang, Man] Key Laboratory of Advanced Technologies of Materials, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, China
[Gou, Jihua] Univ Cent Florida, Dept Mech & Aerosp Engn, Composite Mat & Struct Lab, Orlando, FL 32816 USA.
The use of 3D printing for rapid tooling and manufacturing has promised to produce components with complex geometries according to computer designs. Due to the intrinsically limited mechanical properties and functionalities of printed pure polymer parts, there is a critical need to develop printable polymer composites with high performance. 3D printing offers many advantages in the fabrication of composites, including high precision, cost effective and customized geometry. This article gives an overview on 3D printing techniques of polymer composite materials and the properties and performance of 3D printed composite parts as well as their potential applications in the fields of biomedical, electronics and aerospace engineering. Common 3D printing techniques such as fused deposition modeling, selective laser sintering, inkjet 3D printing, stereolithography, and 3D plotting are introduced. The formation methodology and the performance of particle-, fiber- and nanomaterial-reinforced polymer composites are emphasized. Finally, important limitations are identified to motivate the future research of 3D printing. (C) 2016 Elsevier Ltd. All rights reserved.
Fan, Lisheng;Lei, Xianfu;Yang, Nan;Duong, Trung Q.;Karagiannidis, George K.
IEEE Journal on Selected Topics in Signal Processing,2016年10(8):1494-1505 ISSN：1932-4553
[Duong, Trung Q.] Queen's University Belfast, Belfast, BT7 1NN, United Kingdom;[Karagiannidis, George K.] Aristotle University of Thessaloniki, Thessaloniki, 54 124, Greece;[Lei, Xianfu] Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, 610031, China;[Fan, Lisheng] School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006, China;[Fan, Lisheng] State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, 710126, China
Fan, Lisheng*;Lei, Xianfu;Yang, Nan;Duong, Trung Q.;Karagiannidis, George K.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017年66(8):7599-7603 ISSN：0018-9545
[Duong, Trung Q.] Queen's University Belfast, Belfast, BT71NN, United Kingdom;[Karagiannidis, George K.] Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece;[Lei, Xianfu] National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China;[Lei, Xianfu] Provincial Key Lab of Information Coding and Transmission, National Mobile Communications Research Laboratory, Southwest Jiaotong University, Southeast University, Chengdu, 610031, China;[Fan, Lisheng] School of Computer Science and Educational Software, State Key Laboratory of Integrated Services Networks, Guangzhou University, Xidian University, Guangzhou, 510006, China
This paper presents an impedance-based model to systematically investigate the interaction performance of multiple trains and traction network interaction system, aiming to evaluate the serious phenomena, including low-frequency oscillation (LFO), harmonic resonance, and harmonic instability. The train-network interaction mechanism is therefore studied, and one presents a detailed coupling model for investigating the three interactive phenomena and their characteristics, influential factors, analysis methods, and possible mitigation schemes. In Part I of the two-part paper, the measured waveforms of such three phenomena are first characterized to indicate their features and principles. A unified framework of the train-traction network system for investigating the three problems is then presented. In order to reveal the interaction mechanism, all-frequency impedance behaviors of the electric trains and traction network are equally modeled. In which, an impedance-based input behavior of the train is fully investigated with considering available controllers and their parameters in DQ-domain. The entire traction network, including traction transformer, catenary, supply lines, is represented in a frequency-domain nodal matrix. Furthermore, the impedance-frequency responses of both electric train and traction network are measured and validated through frequency scan method. Finally, a generalized train-network simulation and experimental system are conducted for verifying the theoretical results of the two-part paper.