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Yun Zhang
State Key Lab of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, 12443 Wuhan, Hubei, China

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Journal article
Published: 20 August 2021 in IEEE Transactions on Fuzzy Systems
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Improving the trade-off between accuracy and interpretability is essential for the problem of handling high-dimensional data in Takagi-Sugeno-Kang (TSK) fuzzy systems and providing insights into real-world tasks. However, the TSK fuzzy system becomes complex and challenging to interpret as the data dimension increases. Here, we report an ensemble classifier, which is an enhanced adaptive network-based fuzzy inference system (ANFIS) integrating improved bagging and dropout to build concise fuzzy rule sets. First, the high-dimensional feature space is decomposed into a series of low-dimensional feature subsets using the bagging and random subspace method to train multiple ANFISs. An improved dropout strategy is then applied in training ANFISs by temporarily disabling rules in each training epoch and deleting rules after training to obtain sparse rulesets with high-quality rules. These sub-models are subsequently aggregated to perform the fuzzy inference. Results on high-dimensional benchmark datasets confirm that both the bagging and dropout strategies are effective, providing high interpretability by reducing the co-firing degrees and rules of sub-models while guaranteeing accuracy at the same time.

ACS Style

Fei Guo; Jiahuan Liu; Maoyuan Li; Tianlun Huang; Yun Zhang; Dequn Li; Huamin Zhou. A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-dimensional Problems. IEEE Transactions on Fuzzy Systems 2021, PP, 1 -1.

AMA Style

Fei Guo, Jiahuan Liu, Maoyuan Li, Tianlun Huang, Yun Zhang, Dequn Li, Huamin Zhou. A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-dimensional Problems. IEEE Transactions on Fuzzy Systems. 2021; PP (99):1-1.

Chicago/Turabian Style

Fei Guo; Jiahuan Liu; Maoyuan Li; Tianlun Huang; Yun Zhang; Dequn Li; Huamin Zhou. 2021. "A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-dimensional Problems." IEEE Transactions on Fuzzy Systems PP, no. 99: 1-1.

Article
Published: 23 July 2021 in Chinese Journal of Polymer Science
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Entanglement network is an important structural feature in concentrated polymer solutions and polymer melts, which has a great influence on the transient rheological behavior and molecular configuration evolution. However, the existing constitutive models have limitations in describing the influence of dynamic entanglement behavior on molecular chain motion, resulting in inaccurate descriptions of the transient rheological behavior. Thus, a molecular configuration evolution model for polymer solutions considering the dynamic entanglement effect is proposed by introducing an intermolecular force that changes with the orientation of the molecular chain in this work. The intermolecular force is introduced by considering the friction coefficient as anisotropic, and the orientation effect is considered by introducing an excluded volume dependent anisotropic diffusion. The proposed model can better describe the stress relaxation, stress growth, and dielectric anisotropy of polymer solutions compared with the anisotropy FENE model and FENE model. In addition, the influence of different model parameters on the transient and steady shear response of polymer solution is investigated, and the results show that the influence of volume loss on the friction anisotropy factor kσ increases as the solution concentration increases.

ACS Style

Wen-Jie Yu; Guan-Cheng Shen; Xiao-Wei Zhou; Mao-Yuan Li; Yun Zhang; Hua-Min Zhou; De-Qun Li. A Constitutive Model Describing Molecular Configuration Evolution and Transient Rheological Behavior of Entangled Polymer Solutions. Chinese Journal of Polymer Science 2021, 1 -15.

AMA Style

Wen-Jie Yu, Guan-Cheng Shen, Xiao-Wei Zhou, Mao-Yuan Li, Yun Zhang, Hua-Min Zhou, De-Qun Li. A Constitutive Model Describing Molecular Configuration Evolution and Transient Rheological Behavior of Entangled Polymer Solutions. Chinese Journal of Polymer Science. 2021; ():1-15.

Chicago/Turabian Style

Wen-Jie Yu; Guan-Cheng Shen; Xiao-Wei Zhou; Mao-Yuan Li; Yun Zhang; Hua-Min Zhou; De-Qun Li. 2021. "A Constitutive Model Describing Molecular Configuration Evolution and Transient Rheological Behavior of Entangled Polymer Solutions." Chinese Journal of Polymer Science , no. : 1-15.

Research article
Published: 25 April 2021 in Small Methods
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Ion transport kinetics is identified as the major challenge of thick electrode design for high‐energy‐density lithium‐ion batteries. The introduction of vertically‐oriented structure pores, which provide fast transport pathways for Li+, can maximize the rate‐performance of electrodes while holding a high energy density. To overcome the harsh manufacturing requirements of traditional template‐based methods for the oriented‐pore electrodes, a template‐free strategy is developed to meet the large‐scale fabrication demand, in which controllable oriented microchannels are facilely constructed by vertically aggregated bubbles generated from thermal decomposition. The proposed method is demonstrated to be applicable for different active materials and compatible with industrial roll‐to‐roll manufacturing. The oriented‐pore electrodes exhibit a seven times higher capacity at 5C rate and show double the power density relative to the state of the art while maintaining a high level of energy density. The balance between the ion transport kinetics through the channels and in the matrix manifests an optimal design of the electrode structures, enabling the desired superior performance of the electrodes toward practical applications.

ACS Style

Ruoyu Xiong; Yun Zhang; Yunming Wang; Lan Song; Maoyuan Li; Hui Yang; Zhigao Huang; Dequn Li; Huamin Zhou. Scalable Manufacture of High‐Performance Battery Electrodes Enabled by a Template‐Free Method. Small Methods 2021, 5, 2100280 .

AMA Style

Ruoyu Xiong, Yun Zhang, Yunming Wang, Lan Song, Maoyuan Li, Hui Yang, Zhigao Huang, Dequn Li, Huamin Zhou. Scalable Manufacture of High‐Performance Battery Electrodes Enabled by a Template‐Free Method. Small Methods. 2021; 5 (6):2100280.

Chicago/Turabian Style

Ruoyu Xiong; Yun Zhang; Yunming Wang; Lan Song; Maoyuan Li; Hui Yang; Zhigao Huang; Dequn Li; Huamin Zhou. 2021. "Scalable Manufacture of High‐Performance Battery Electrodes Enabled by a Template‐Free Method." Small Methods 5, no. 6: 2100280.

Journal article
Published: 14 February 2021 in International Journal of Heat and Mass Transfer
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Owing to their high intrinsic thermal conductivity (~2.0 W/mK), cellulose nanocrystals (CNCs) have a high potential for use as thermal management materials in modern electronics. The incorporation of a nanofiller with a high thermal conductivity, such as h-boron nitride (h-BN) and graphene (Gr), is a common approach to improve the thermal properties. However, the thermal transport across the filler–matrix interface is not well understood considering the existence of amphiphilic surfaces in the CNCs. In this study, the interfacial thermal conductance (ITC) between the hydrophobic or hydrophilic surfaces of the CNCs and h-BN was systematically investigated using molecular dynamic simulations. The hydrophobic surface exhibited the highest ITC, and the ITC for ordered CNCs was higher than that for the amorphous cellulose. The ITCs of h-BN/CNCs were higher than those of Gr/CNCs. The underlying mechanisms were explained by the interfacial adhesion strength and phonon vibration power spectrum. Additionally, the overall thermal performances of the CNCs/h-BN nanocomposites were investigated through the effective medium theory and simulation results. Although the inherent thermal conductivity of h-BN was lower than that of Gr, because of the dominant effect of the ITC on the heat transfer in the nanocomposites, h-BN with a higher ITC may increase the thermal conductivity of the CNCs more than Gr.

ACS Style

Maoyuan Li; Jiahuan Liu; Wenjie Yu; Yun Zhang; Huamin Zhou. Atomistic molecular dynamic simulations of the thermal transport across h-BN/cellulose nanocrystal interface. International Journal of Heat and Mass Transfer 2021, 171, 121043 .

AMA Style

Maoyuan Li, Jiahuan Liu, Wenjie Yu, Yun Zhang, Huamin Zhou. Atomistic molecular dynamic simulations of the thermal transport across h-BN/cellulose nanocrystal interface. International Journal of Heat and Mass Transfer. 2021; 171 ():121043.

Chicago/Turabian Style

Maoyuan Li; Jiahuan Liu; Wenjie Yu; Yun Zhang; Huamin Zhou. 2021. "Atomistic molecular dynamic simulations of the thermal transport across h-BN/cellulose nanocrystal interface." International Journal of Heat and Mass Transfer 171, no. : 121043.

Journal article
Published: 12 January 2021 in International Journal of Heat and Mass Transfer
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Floatation nozzle is a key component for manufacturing high performance substrates because it can support the substrate without contact. The increase of the heat transfer uniformity can improve the product quality, reduce thermal stress, etc., however, the lack of the uniformity performance indicator hinders the selection of the floatation nozzle type. In this study, the revised heat transfer and pressure uniformity indicators for distinguishing different direction are proposed. The results of the two typical impinging jet systems including slot jet and multiple circle jets show that the accuracy of the revised uniformity indicator is increased by 55.56% as compared with the traditional uniformity indicator. Then, we compare the performance of different type of floatation nozzles using the revised indicators. We find that the main factors affecting the heat transfer and pressure uniformity are the edge effects, the turbulent intermittence, and the interaction between adjacent jets. It is found that the comprehensive performance of the floatation nozzle with effusion holes is better than that of the floatation nozzle with injection holes and traditional floatation nozzle.

ACS Style

Tianlun Huang; Penghui Tan; Yun Zhang; Zhigao Huang; Huamin Zhou. Heat transfer uniformity analysis of floatation nozzle using a revised uniformity indicator. International Journal of Heat and Mass Transfer 2021, 168, 120885 .

AMA Style

Tianlun Huang, Penghui Tan, Yun Zhang, Zhigao Huang, Huamin Zhou. Heat transfer uniformity analysis of floatation nozzle using a revised uniformity indicator. International Journal of Heat and Mass Transfer. 2021; 168 ():120885.

Chicago/Turabian Style

Tianlun Huang; Penghui Tan; Yun Zhang; Zhigao Huang; Huamin Zhou. 2021. "Heat transfer uniformity analysis of floatation nozzle using a revised uniformity indicator." International Journal of Heat and Mass Transfer 168, no. : 120885.

Journal article
Published: 30 December 2020 in Polymers
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The morphology of polymer blends plays a critical role in determining the properties of the blends and performance of resulting injection-molded parts. However, it is currently impossible to predict the morphology evolution during injection molding and the final micro-structure of the molded parts, as the existing models for the morphology evolution of polymer blends are still limited to a few simple flow fields. To fill this gap, this paper proposed a novel model for droplet morphology evolution during the mold filling process of polymer blends by coupling the models on macro- and meso-scales. The proposed model was verified by the injection molding experiment of PP/POE blends. The predicted curve of mold cavity pressure during filling process agreed precisely with the data of the corresponding pressure sensors. On the other hand, the model successfully tracked the moving trajectory and simulated morphology evolution of the droplets during the mold-filling process. After mold-filling ended, the simulation results of the final morphology of the droplets were consistent with the observations of the scanning electron microscope (SEM) experiment. Moreover, this study revealed the underlying mechanism of the droplet morphology evolution through the force analysis on the droplet. It is validated that the present model is a qualified tool for simulating the morphology evolution of polymer blends during injection molding and predicting the final microstructure of the products.

ACS Style

Lin Deng; Suo Fan; Yun Zhang; Zhigao Huang; Shaofei Jiang; Jiquan Li; Huamin Zhou. A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends. Polymers 2020, 13, 133 .

AMA Style

Lin Deng, Suo Fan, Yun Zhang, Zhigao Huang, Shaofei Jiang, Jiquan Li, Huamin Zhou. A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends. Polymers. 2020; 13 (1):133.

Chicago/Turabian Style

Lin Deng; Suo Fan; Yun Zhang; Zhigao Huang; Shaofei Jiang; Jiquan Li; Huamin Zhou. 2020. "A Novel Multiscale Methodology for Simulating Droplet Morphology Evolution during Injection Molding of Polymer Blends." Polymers 13, no. 1: 133.

Journal article
Published: 17 September 2020 in Journal of Manufacturing Processes
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High-precision aspheric negative plastic lenses are widely used in optical systems owing to their excellent performance and ease of high-efficiency manufacturing. The imaging performance of the lens is difficult to control, because it is unable to perform optical measurements directly and is sensitive to manufacturing processing meanwhile. Generally, the imaging performance is guaranteed by a strict control of geometrical deviation, such as Peak-to-Valley (PV) and Root-Mean-Square (RMS). In this study, an optical ray-tracing algorithm with the measured geometrical deviation data is proposed to perform an imaging performance analysis correlated with geometrical deviation for the injection molded high-precision aspheric negative plastic lens. Taguchi experiments are applied to investigating the effect of processing parameters. The geometrical deviation of the convex surface is found to be an order of magnitude greater than that of the concave surface. The geometrical dimension of the concave surface is mainly determined by the machining precision of the mold cavity surface, whereas the convex surface dimension is mainly affected by the lens shrinkage. However, the imaging performance has a nonlinear correlation with the geometrical deviation. Modulation Transfer Function (MTF) and Spot Diagram are equivalently affected by the concave and convex geometrical deviations, and depend on the object field height. The effect of processing parameters on geometrical deviation and imaging performance is uncorrelated. Thus, the imaging performance should be simultaneously considered as a criterion as well as the geometrical deviation in the optimization of aspheric negative lens injection molding processing. The imaging performance prediction using an optical ray-tracing algorithm with the measured geometrical deviation data is instrumental to optimize the manufacturing processing.

ACS Style

Xiaowei Zhou; Yun Zhang; Wenjie Yu; Maoyuan Li; Yuhong Chen; Huamin Zhou. An imaging performance analysis method correlated with geometrical deviation for the injection molded high-precision aspheric negative plastic lens. Journal of Manufacturing Processes 2020, 58, 1115 -1125.

AMA Style

Xiaowei Zhou, Yun Zhang, Wenjie Yu, Maoyuan Li, Yuhong Chen, Huamin Zhou. An imaging performance analysis method correlated with geometrical deviation for the injection molded high-precision aspheric negative plastic lens. Journal of Manufacturing Processes. 2020; 58 ():1115-1125.

Chicago/Turabian Style

Xiaowei Zhou; Yun Zhang; Wenjie Yu; Maoyuan Li; Yuhong Chen; Huamin Zhou. 2020. "An imaging performance analysis method correlated with geometrical deviation for the injection molded high-precision aspheric negative plastic lens." Journal of Manufacturing Processes 58, no. : 1115-1125.

Journal article
Published: 05 August 2020 in Applied Mathematical Modelling
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Almost all flows of polymers are accompanied by evolution of the molecular configuration, which has a great influence on material properties. However, the existing molecular configuration evolution models are mainly limited to the configuration evolution of a single molecular chain in a dilute solution ignoring intermolecular forces; it is impossible to predict the evolution of the molecular configuration of polymer melt with a complex entanglement network. Thus, we propose a non-isothermal compressible viscoelastic molecular configuration evolution model for polymer melt using non-equilibrium irreversible thermodynamic methods. The proposed model can more accurately describe the rheological properties of polymer melts compared with the commonly used XPP model, especially at high shear rates. The predicted molecular configuration in rotary Couette flow agrees well with the measured dielectric anisotropy results. Finally, the present model and a simulation method are successfully applied to predict the evolution of polymer molecular configuration and birefringence in three-dimensional injection compression molding, and the predicted birefringence is consistent with the measured results. A typical skin-core structure, resulting from the competition of the flow field and the molecular Brownian thermal motion in the injection molding, is investigated.

ACS Style

Wenjie Yu; Guancheng Shen; Yun Zhang; Dequn Li; Huamin Zhou. Molecular configuration evolution model and simulation for polymer melts using a non-equilibrium irreversible thermodynamics method. Applied Mathematical Modelling 2020, 89, 1357 -1372.

AMA Style

Wenjie Yu, Guancheng Shen, Yun Zhang, Dequn Li, Huamin Zhou. Molecular configuration evolution model and simulation for polymer melts using a non-equilibrium irreversible thermodynamics method. Applied Mathematical Modelling. 2020; 89 ():1357-1372.

Chicago/Turabian Style

Wenjie Yu; Guancheng Shen; Yun Zhang; Dequn Li; Huamin Zhou. 2020. "Molecular configuration evolution model and simulation for polymer melts using a non-equilibrium irreversible thermodynamics method." Applied Mathematical Modelling 89, no. : 1357-1372.

Paper
Published: 07 May 2020 in Green Chemistry
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Recycling ionic liquids as plasticizers, a green manufacturing method of pure cellulose films which can be used as electronic substrates is successfully demonstrated.

ACS Style

Longhui Li; Yun Zhang; Yanling Sun; Shuang Sun; Guancheng Shen; Peng Zhao; Jingqiang Cui; Haiyu Qiao; Yunming Wang; Huamin Zhou. Manufacturing pure cellulose films by recycling ionic liquids as plasticizers. Green Chemistry 2020, 22, 3835 -3841.

AMA Style

Longhui Li, Yun Zhang, Yanling Sun, Shuang Sun, Guancheng Shen, Peng Zhao, Jingqiang Cui, Haiyu Qiao, Yunming Wang, Huamin Zhou. Manufacturing pure cellulose films by recycling ionic liquids as plasticizers. Green Chemistry. 2020; 22 (12):3835-3841.

Chicago/Turabian Style

Longhui Li; Yun Zhang; Yanling Sun; Shuang Sun; Guancheng Shen; Peng Zhao; Jingqiang Cui; Haiyu Qiao; Yunming Wang; Huamin Zhou. 2020. "Manufacturing pure cellulose films by recycling ionic liquids as plasticizers." Green Chemistry 22, no. 12: 3835-3841.

Journal article
Published: 12 April 2020 in Chemical Engineering Science
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Simultaneous double-sided slot coating (SDSSC) has been developed to improve the efficiency of lithium-ion battery electrode production, but the coating uniformity is limited owing to the gap fluctuation caused by substrate vibration during coating the second side. Here we investigated the SDSSC with a novel contacted slot die and discussed its coating uniformity. A validated numerical model was established to describe the gap fluctuation and analyze the frequency response of coating uniformity to it. The numerical results indicate the contacted slot die can suppress the gap fluctuation to two orders of magnitude smaller than the non-contact slot die. There is a range of substrate vibration frequencies for guaranteeing the coating uniformity because it decreases with increasing frequency. In experiments with different coating thicknesses and speeds, the coating uniformities all exceeded 95% and improved upon increasing these parameters. The contacted slot die is effective at controlling coating uniformity in SDSSC.

ACS Style

Penghui Tan; Simian Diao; Tianlun Huang; Tengfang Zhang; Zhiming Yang; Yun Zhang; Huamin Zhou. Numerical and experimental study on coating uniformity control in simultaneous double-sided slot coating with a novel contacted slot die. Chemical Engineering Science 2020, 222, 115716 .

AMA Style

Penghui Tan, Simian Diao, Tianlun Huang, Tengfang Zhang, Zhiming Yang, Yun Zhang, Huamin Zhou. Numerical and experimental study on coating uniformity control in simultaneous double-sided slot coating with a novel contacted slot die. Chemical Engineering Science. 2020; 222 ():115716.

Chicago/Turabian Style

Penghui Tan; Simian Diao; Tianlun Huang; Tengfang Zhang; Zhiming Yang; Yun Zhang; Huamin Zhou. 2020. "Numerical and experimental study on coating uniformity control in simultaneous double-sided slot coating with a novel contacted slot die." Chemical Engineering Science 222, no. : 115716.

Journal article
Published: 23 March 2020 in Sensors and Actuators B: Chemical
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Polymer orientation is a fundamental and key issue, exhibiting crucial impacts on physical properties of polymeric parts. Current methods are limited in transparent materials and fail to measure the dynamic orientation in industrial polymer processing in situ. Herein, we reported an innovative strategy that dynamic orientation for polymer molecular chains was successfully characterized in situ by dielectric method. A key dielectric-orientation theoretical model was established, and a facile interdigital electrode capacitor (IDEC) array sensor was designed. The experimental results not only agreed well with the classic elastic dumbbell model and the traditional optical measurement method, but also showed a universal applicability for different polymer solutions and a good application prospect in injection molding process. Investigated results showed that the orientation difference of 1 wt% PVDF/DMF, 1 wt% PVC/DMF and 1 wt% PS/DMF solution was 0.57, 0.97 and 0.75 at shear rate 0–407 1/s, respectively. Additionally, the method was successfully applied in injection molding (Δε, 0.25–0.88 under shear rate 56.6–250 1/s). Our strategy built a new ‘decoding fingerprint’ to the dynamic orientation of polymer.

ACS Style

Guancheng Shen; Yi Zhang; Yunming Wang; Wenjie Yu; Zhigao Huang; Maoyuan Li; Yun Zhang; Huamin Zhou. In situ dielectric characterization of dynamic orientation for polymer molecular chains. Sensors and Actuators B: Chemical 2020, 313, 128024 .

AMA Style

Guancheng Shen, Yi Zhang, Yunming Wang, Wenjie Yu, Zhigao Huang, Maoyuan Li, Yun Zhang, Huamin Zhou. In situ dielectric characterization of dynamic orientation for polymer molecular chains. Sensors and Actuators B: Chemical. 2020; 313 ():128024.

Chicago/Turabian Style

Guancheng Shen; Yi Zhang; Yunming Wang; Wenjie Yu; Zhigao Huang; Maoyuan Li; Yun Zhang; Huamin Zhou. 2020. "In situ dielectric characterization of dynamic orientation for polymer molecular chains." Sensors and Actuators B: Chemical 313, no. : 128024.

Journal article
Published: 12 March 2020 in Advances in Polymer Technology
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The purpose of this paper is twofold. The first is to numerically investigate and reveal the effect of polymer viscoelasticity on the retraction of a deformed drop using the lattice Boltzmann (LB) method and polymer kinetic theory. More importantly, the second is to propose a novel method to evaluate the interfacial tension between polymer melts based on the numerical study. Compared with the conventional deformed drop retraction method (DDRM), the present method is designed to greatly reduce the impact of polymer viscoelasticity on measuring interfacial tension. To verify, the interfacial tension between molten PP and POE is evaluated using the proposed method and obviously closer result to the true value is shown.

ACS Style

Lin Deng; Yun Zhang; Shaofei Jiang; Jiquan Li; Huamin Zhou. Numerical Investigation of the Effect of Viscoelasticity on Drop Retraction and the Evaluation of Interfacial Tension between Polymer Melts. Advances in Polymer Technology 2020, 2020, 1 -13.

AMA Style

Lin Deng, Yun Zhang, Shaofei Jiang, Jiquan Li, Huamin Zhou. Numerical Investigation of the Effect of Viscoelasticity on Drop Retraction and the Evaluation of Interfacial Tension between Polymer Melts. Advances in Polymer Technology. 2020; 2020 ():1-13.

Chicago/Turabian Style

Lin Deng; Yun Zhang; Shaofei Jiang; Jiquan Li; Huamin Zhou. 2020. "Numerical Investigation of the Effect of Viscoelasticity on Drop Retraction and the Evaluation of Interfacial Tension between Polymer Melts." Advances in Polymer Technology 2020, no. : 1-13.

Journal article
Published: 18 January 2020 in Applied Surface Science
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The weak interfacial adhesion between carbon fibers (CFs) and poly(ether ether ketone) (PEEK) strongly hinders the true potential of composites in high performance applications. Herein, a novel heterocyclic derivative of PEEK was utilized as a linkage between CFs surface and PEEK matrix by a facile and high effective two-step method. CFs were firstly grafted with sodium sulfonate groups via aryl diazonium treatment, and then modified by the sizing agent poly(aryl indole ketone) (PAIK). This promising method takes advantages of strong cation-π interaction between PAIK and activated CFs, increased surface roughness of CFs, as well as good compatibility between PAIK and PEEK. As a result, the tensile strength and interlaminar shear strength (ILSS) of CF/PEEK composites were both improved after aryl diazonium treatment and PAIK sizing. The highest ILSS obtained for the 1 wt% PAIK modified CF/PEEK composites, which was 62.97% higher than that of untreated CFs based composites. Finally, the interfacial reinforcing mechanism in modified composites was proposed by analyzing the interfacial microstructure. This research provided a promising approach to produce high performance CF reinforced thermoplastic polymeric composites.

ACS Style

Xukang Wang; Zhigao Huang; Minlong Lai; Lin Jiang; Yun Zhang; Huamin Zhou. Highly enhancing the interfacial strength of CF/PEEK composites by introducing PAIK onto diazonium functionalized carbon fibers. Applied Surface Science 2020, 510, 145400 .

AMA Style

Xukang Wang, Zhigao Huang, Minlong Lai, Lin Jiang, Yun Zhang, Huamin Zhou. Highly enhancing the interfacial strength of CF/PEEK composites by introducing PAIK onto diazonium functionalized carbon fibers. Applied Surface Science. 2020; 510 ():145400.

Chicago/Turabian Style

Xukang Wang; Zhigao Huang; Minlong Lai; Lin Jiang; Yun Zhang; Huamin Zhou. 2020. "Highly enhancing the interfacial strength of CF/PEEK composites by introducing PAIK onto diazonium functionalized carbon fibers." Applied Surface Science 510, no. : 145400.

Journal article
Published: 16 January 2020 in Carbohydrate Polymers
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Cellulose is a promising and advantageous material because it is low-cost, abundant and biodegradable. Nonetheless, dealing with this material is extremely challenging because cellulose cannot dissolve in most solvents or melt at any temperature or pressure in the air owing to strong hydrogen-bonding networks. In this work, a surface selective dissolution with shear force process was proposed to prepare cellulose films with high strength from microcrystalline cellulose powders. The tensile strength reached 94 MPa and the thermal decomposition temperature improved by 64 °C compared with that of regenerated cellulose. A mechanism of surface dissolution and reconnection was proposed to explain the process. The outstanding mechanical property attributes to tight reconnection of the undissolved cores via dissolved surfaces in cellulose powders, and the improved thermal decomposition temperature is due to preserved cellulose Ⅰ crystalline structure of microcrystalline cellulose. We believe that this cost-effective and facile method holds promise for industrial-scaleproduction of cellulose materials.

ACS Style

Haiyu Qiao; Longhui Li; Jun Wu; Yun Zhang; Yonggui Liao; Helezi Zhou; Dequn Li. High-strength cellulose films obtained by the combined action of shear force and surface selective dissolution. Carbohydrate Polymers 2020, 233, 115883 .

AMA Style

Haiyu Qiao, Longhui Li, Jun Wu, Yun Zhang, Yonggui Liao, Helezi Zhou, Dequn Li. High-strength cellulose films obtained by the combined action of shear force and surface selective dissolution. Carbohydrate Polymers. 2020; 233 ():115883.

Chicago/Turabian Style

Haiyu Qiao; Longhui Li; Jun Wu; Yun Zhang; Yonggui Liao; Helezi Zhou; Dequn Li. 2020. "High-strength cellulose films obtained by the combined action of shear force and surface selective dissolution." Carbohydrate Polymers 233, no. : 115883.

Journal article
Published: 01 December 2019 in Applied Soft Computing
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ACS Style

Fei Guo; Xiaowei Zhou; Jiahuan Liu; Yun Zhang; Dequn Li; Huamin Zhou. A reinforcement learning decision model for online process parameters optimization from offline data in injection molding. Applied Soft Computing 2019, 85, 1 .

AMA Style

Fei Guo, Xiaowei Zhou, Jiahuan Liu, Yun Zhang, Dequn Li, Huamin Zhou. A reinforcement learning decision model for online process parameters optimization from offline data in injection molding. Applied Soft Computing. 2019; 85 ():1.

Chicago/Turabian Style

Fei Guo; Xiaowei Zhou; Jiahuan Liu; Yun Zhang; Dequn Li; Huamin Zhou. 2019. "A reinforcement learning decision model for online process parameters optimization from offline data in injection molding." Applied Soft Computing 85, no. : 1.

Journal article
Published: 01 July 2019 in Polymers
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Due to its superior mechanical properties, graphene (Gr) has the potential to achieve high performance polymer-based nanocomposites. Previous studies have proved that defects in the Gr sheets could greatly reduce the mechanical properties of Gr, while the Stone-Wales (SW) defect was found to enhance the interfacial mechanical strength between Gr and epoxy. However, the combined effects of defects on the overall mechanical properties of Gr/epoxy nanocomposites have not been well understood. In this paper, the effect of the SW defect on the mechanical properties of Gr/epoxy nanocomposites was systematically investigated by using molecular dynamic simulations. The simulation results showed that the SW defect would degrade the mechanical properties of nanocomposites, including the Young’s modulus and in-plane shear modulus. Surprisingly, the transverse shear modulus could be remarkably enhanced with the existence of SW. The reinforcing mechanisms were mainly due to two aspects: (1) the SW defect could increase the surface roughness of the Gr, preventing the slippage between Gr and epoxy during the transverse shea; and (2) the nanocomposite with defective Gr enables a higher interaction energy than that with perfect graphene. Additionally, the effects of temperature, the dispersion and volume fraction of Gr were also investigated.

ACS Style

Maoyuan Li; Peng Chen; Bing Zheng; Tianzhengxiong Deng; Yun Zhang; Yonggui Liao; Huamin Zhou. Effect of Stone-Wales Defect on Mechanical Properties of Gr/epoxy Nanocomposites. Polymers 2019, 11, 1116 .

AMA Style

Maoyuan Li, Peng Chen, Bing Zheng, Tianzhengxiong Deng, Yun Zhang, Yonggui Liao, Huamin Zhou. Effect of Stone-Wales Defect on Mechanical Properties of Gr/epoxy Nanocomposites. Polymers. 2019; 11 (7):1116.

Chicago/Turabian Style

Maoyuan Li; Peng Chen; Bing Zheng; Tianzhengxiong Deng; Yun Zhang; Yonggui Liao; Huamin Zhou. 2019. "Effect of Stone-Wales Defect on Mechanical Properties of Gr/epoxy Nanocomposites." Polymers 11, no. 7: 1116.

Journal article
Published: 03 March 2019 in Nanomaterials
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In this study, the mechanical and thermal properties of graphene were systematically investigated using molecular dynamic simulations. The effects of temperature, strain rate and defect on the mechanical properties, including Young’s modulus, fracture strength and fracture strain, were studied. The results indicate that the Young’s modulus, fracture strength and fracture strain of graphene decreased with the increase of temperature, while the fracture strength of graphene along the zigzag direction was more sensitive to the strain rate than that along armchair direction by calculating the strain rate sensitive index. The mechanical properties were significantly reduced with the existence of defect, which was due to more cracks and local stress concentration points. Besides, the thermal conductivity of graphene followed a power law of λ~L0.28, and decreased monotonously with the increase of defect concentration. Compared with the pristine graphene, the thermal conductivity of defective graphene showed a low temperature-dependent behavior since the phonon scattering caused by defect dominated the thermal properties. In addition, the corresponding underlying mechanisms were analyzed by the stress distribution, fracture structure during the deformation and phonon vibration power spectrum.

ACS Style

Maoyuan Li; Tianzhengxiong Deng; Bing Zheng; Yun Zhang; Yonggui Liao; Huamin Zhou. Effect of Defects on the Mechanical and Thermal Properties of Graphene. Nanomaterials 2019, 9, 347 .

AMA Style

Maoyuan Li, Tianzhengxiong Deng, Bing Zheng, Yun Zhang, Yonggui Liao, Huamin Zhou. Effect of Defects on the Mechanical and Thermal Properties of Graphene. Nanomaterials. 2019; 9 (3):347.

Chicago/Turabian Style

Maoyuan Li; Tianzhengxiong Deng; Bing Zheng; Yun Zhang; Yonggui Liao; Huamin Zhou. 2019. "Effect of Defects on the Mechanical and Thermal Properties of Graphene." Nanomaterials 9, no. 3: 347.

Journal article
Published: 07 January 2019 in Control Engineering Practice
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Efficiency and accuracy are critical in the motion control of a batch process. This paper proposes a new intelligent motion control method for a batch process based on reinforcement learning (RL) and iterative learning control (ILC). The proposed learning-based motion control method enables the system to learn from its previous experience. The motion control method can be divided into two parts: (1) RL-based trajectory optimization and (2) ILC-based positioning control. Experiments were conducted to demonstrate the effectiveness of the proposed method. The results indicate that the proposed method not only reduces the process time effectively while ensuring system stability, but also achieves excellent positioning accuracy.

ACS Style

Yufei Ruan; Yun Zhang; Ting Mao; Xundao Zhou; Dequn Li; Huamin Zhou. Trajectory optimization and positioning control for batch process using learning control. Control Engineering Practice 2019, 85, 1 -10.

AMA Style

Yufei Ruan, Yun Zhang, Ting Mao, Xundao Zhou, Dequn Li, Huamin Zhou. Trajectory optimization and positioning control for batch process using learning control. Control Engineering Practice. 2019; 85 ():1-10.

Chicago/Turabian Style

Yufei Ruan; Yun Zhang; Ting Mao; Xundao Zhou; Dequn Li; Huamin Zhou. 2019. "Trajectory optimization and positioning control for batch process using learning control." Control Engineering Practice 85, no. : 1-10.

Journal article
Published: 01 December 2018 in International Journal of Thermal Sciences
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ACS Style

Tianlun Huang; Penghui Tan; Maoyuan Li; Yun Zhang; Huamin Zhou. Numerical modeling and analysis of heat transfer for floatation nozzle with a flexible substrate. International Journal of Thermal Sciences 2018, 137, 665 -674.

AMA Style

Tianlun Huang, Penghui Tan, Maoyuan Li, Yun Zhang, Huamin Zhou. Numerical modeling and analysis of heat transfer for floatation nozzle with a flexible substrate. International Journal of Thermal Sciences. 2018; 137 ():665-674.

Chicago/Turabian Style

Tianlun Huang; Penghui Tan; Maoyuan Li; Yun Zhang; Huamin Zhou. 2018. "Numerical modeling and analysis of heat transfer for floatation nozzle with a flexible substrate." International Journal of Thermal Sciences 137, no. : 665-674.

Journal article
Published: 19 July 2018 in Computers & Chemical Engineering
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Feature learning is a generic and fundamental problem in data-based process monitoring of batch processes, such as injection molding. This paper proposes an automatic feature learning method, considering the following two vital characteristic aspects: the mechanical characteristics within a batch and the inherent characteristics among batches. Unsupervised feature learning is performed using convolution-deconvolution auto encoders, and the learned features are applied as predefined parameters for process monitoring, including process condition identification and fault detection. Experiments are carried out with different process conditions. The results indicate that the proposed method achieves improved model generalization ability under various process conditions, which means it can precisely reveal the variable autocorrelations and cross-correlations among different variables. Meanwhile, the learned features achieve higher classification accuracies and offer more optimal solutions for process monitoring. This method has been proven as an efficient means of feature learning, which should be appropriate for other batch processes.

ACS Style

Ting Mao; Yun Zhang; Yufei Ruan; Huang Gao; Huamin Zhou; Dequn Li. Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. Computers & Chemical Engineering 2018, 118, 77 -90.

AMA Style

Ting Mao, Yun Zhang, Yufei Ruan, Huang Gao, Huamin Zhou, Dequn Li. Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. Computers & Chemical Engineering. 2018; 118 ():77-90.

Chicago/Turabian Style

Ting Mao; Yun Zhang; Yufei Ruan; Huang Gao; Huamin Zhou; Dequn Li. 2018. "Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders." Computers & Chemical Engineering 118, no. : 77-90.