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Minghang Wang,Quan Wu,Zhengyu Feng,Xiaoyu Gu,Hongfei Li,Jun Sun,Bin Fei,Sheng Zhang 한국섬유공학회 2020 Fibers and polymers Vol.21 No.10
Cellulose microcrystalline (CMC), a linear polysaccharide with glucosidic bond, was successfully extracted frombamboo powder and modified by aluminate coupling agent (ACA) to prepare ACA-CMC. The chemical structure of asdesignedACA-CMC was characterized by scanning electron microscopy and Fourier transform infrared spectra. ACACMC,in association with ammonium polyphosphate (APP), was introduced into epoxy resin (EP) by casting process toobtain flame-resistant composites. The fire performance evaluation indicated that the presence of 10 phr APP and 5 phrACA-CMC in EP achieved the maximal LOI value of 29.0 %, passed the UL-94 V-0 rating, and significantly decreased thepeak heat release rate from 1055 kW·m-2 of neat EP to 294 kW·m-2. The introduction of ACA-CMC could also improve themechanical properties of EP composites due to the strengthening effect of CMC and better interfacial compatibility aftermodification with ACA. Moreover, the relative mechanisms were also proposed.
Zhao, Minghang,Kang, Myeongsu,Tang, Baoping,Pecht, Michael Institute of Electrical and Electronics Engineers 2018 IEEE transactions on industrial electronics Vol.65 No.5
<P>One of the significant tasks in data-driven fault diagnosis methods is to configure a good feature set involving statistical parameters. However, statistical parameters are often incapable of representing the dynamic behavior of planetary gearboxes under variable operating conditions. Although the use of deep learning algorithms to find a good set of features for fault diagnosis has somewhat improved diagnostic performance, the lack of domain knowledge incorporated into deep learning algorithms has limited further improvement. Accordingly, this paper developed a variant of deep residual networks (DRNs), the so-called deep residual networks with dynamically weighted wavelet coefficients (DRN+DWWC) to improve diagnostic performance, which takes a series of sets of wavelet packet coefficients on various frequency bands as an input. Further, the fact that no general consensus has been reached as to which frequency band contains the most intrinsic information about a planetary gearbox's health status calls for “dynamic weighting layers” in the DRN+DWWC and the role of the layers is to dynamically adjust a weight applied to each set of wavelet packet coefficients to find a discriminative set of features that will be further used for planetary gearbox fault diagnosis.</P>
Bidirectional Link Resource Allocation Strategy in GFDM-based Multiuser SWIPT Systems
( Xiaorong Xu ),( Minghang Sun ),( Wei-ping Zhu ),( Wei Feng ),( Yingbiao Yao ) 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.1
In order to enhance system energy efficiency, bidirectional link resource allocation strategy in GFDM-based multiuser SWIPT systems is proposed. In the downlink channel, each SWIPT user applies power splitting (PS) receiver structure in information decoding (ID) and non-linear energy harvesting (EH). In the uplink channel, information transmission power is originated from the harvested energy. An optimization problem is constructed to maximize weighted sum ID achievable rates in the downlink and uplink channels via bidirectional link power allocation as well as subcarriers and subsymbols scheduling. To solve this non-convex optimization problem, Lagrange duality method, sub-gradient-based method and greedy algorithm are adopted respectively. Simulation results show that the proposed strategy is superior to the fixed subcarrier scheme regardless of the weighting coefficients. It is superior to the heuristic algorithm in larger weighting coefficients scenario.
Yonghui Zhou,Hu Sun,Anhai Li,Minghang Lv,Chaoyi Xue,Jun Zhao 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.7
The Johnson-Cook (JC) constitutive model was utilized to simulate the processing of Al-Si piston alloy ZL109 to obtain the optimal finishing parameters in polycrystalline diamond (PCD) tool, and studied the machining quality of ordinary-turning under the optimized cutting parameters. PCD is brittle, so it is difficult to manufacture orthogonal blades and is easy to break and high cost. We have adopted ordinary-turning quality to verify simulation results. Effect of cutting parameters on residual stress, cutting force and temperature was investigated through simulation, meanwhile, effect of cutting parameters on surface roughness and residual stress was analyzed by experiments. It indicates the verification method is practicable, and residual stress, cutting force and temperature are the smallest in simulation, and the experimental values of surface roughness and residual stress are also the smallest under the optimal cutting parameters, which can guide the cutting parameters selection to obtain higher machining quality.