Weiming Zhang¹, Muhammad Wasim Khan¹, Xueqin Zuo¹, Qun Yang¹, Huaibao Tang^1,2, Shaowei Jin^1,2, Guang Li^1,2,3,*

Journal of Renewable Materials, Vol.8, No.4, pp. 431-446, 2020, DOI:10.32604/jrm.2020.09158 - 24 April 2020

Abstract A novel sunflower-like nanocomposite of SrCo₂S₄ nanoflakes and functionalized multiwall carbon nanotubes (f-MWCNTs) entanglement enveloped in nitrogen-reduced graphene oxide (N-RGO) is prepared by a cheap process. The unique entanglement structure of the material exhibits higher specific surface area, better electrical conductivity and other properties. This helps to reduce the transfer resistance in the photoelectric process of the battery and improve the electrochemical activity, thus increasing the photoelectric conversion efficiency of the battery. The new ternary cobalt-based sulfide material can replace platinum as the counter electrode (CE) material loaded on dye-sensitized solar cells (DSSCs). DSSCs with SrCo₂S₄@f-MWCNTs@N-RGO More >

Meijuan Shan^{1, 2}, Libin Zhao^{2, *}, Wei Huang³, Fengrui Liu², Jianyu Zhang^{4, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 101-127, 2020, DOI:10.32604/cmes.2020.09099 - 01 April 2020

Abstract The high demands for load-carrying capability and structural efficiency of composite-metal bolted joints trigger in-depth investigations on failure mechanisms of the joints in hygrothermal environments. However, few studies have been presented to exhaustively reveal hygrothermal effects on the failure of CFRP-metal bolted joints, which differ from CFRP-CFRP or metal-metal bolted joints because of the remarkably different material properties of CFRPs and metals. In this paper, hygrothermal effects on tensile failures of single-lap and double-lap CFRP-aluminum bolted joints were experimentally and numerically investigated. A novel numerical model, in which a hygrothermal-included progressive damage model of composites… More >

Primož Kocutar^{1, *}, Jure Ravnik¹, Leopold Škerget¹

CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 1-22, 2020, DOI:10.32604/cmes.2020.08728 - 01 April 2020

Abstract In this paper, we develop and test a unified hybrid LES/URANS turbulence model with two different Large Eddy Simulation (LES) turbulence models. The numerical algorithm is based on the Boundary Element Method. In the existing hybrid LES/URANS turbulence model we implemented a new Smagorinsky LES turbulence model. The hybrid LES/URANS turbulence model is unified, which means that the LES/URANS interface is changed dynamically during simulation using a physical quantity. In order to define the interface between LES and unsteady Reynolds Averaged Navier Stokes (URANS) zones during the simulation, we use the Reynolds number based on… More >

Karima Ben Hamou^1,2,*, Amal Kadimi¹, Remo Merijs Meri³, Sergei Gaidukov³, Hamid Kaddami¹, Mustapha Raihane¹, Mouhamed Lahcini¹, Fouad Erchiqui²

Journal of Renewable Materials, Vol.8, No.3, pp. 301-317, 2020, DOI:10.32604/jrm.2020.08141 - 01 March 2020

Abstract This work reports a comprehensive study on poly (Ethylmethacrylateco-Acrylonitrile) Poly(EMA-AN) nanocomposites reinforced with a hybrid mixture of nanoreiforcements based on nanocrystals of cellulose (NCC) (1 or 5% wt) and halloysite nanotubes (HNTs) (1 or 5% wt). The morphology, thermal and mechanical properties of these nanocomposites were characterized. Homogeneous dispersion of the nanofillers has been shown by scanning electron microscopy. A significant increase of the rubbery modulus and glass transition temperature were obtained upon filler addition, due to the reduction of mobility of the matrix macromolecular chains. On the other hand, compared with the neat Poly(EMAAN), More >

Qixi Fu¹, Xiaolong Liang^{1, 2}, Jiaqiang Zhang^{1, *}, Xiangyu Fan^{1, 2}

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 417-444, 2020, DOI:10.32604/cmc.2020.07044 - 30 March 2020

Abstract In order to meet the higher accuracy requirement of trajectory prediction for Unmanned Aircraft System (UAS) in Unmanned Aircraft System Traffic Management (UTM), an Intent Based Trajectory Prediction and Smooth Based on Constrained State-dependent-transition Hybrid Estimation (CSDTHE-IBTPS) algorithm is proposed. Firstly, an intent inference method of UAS is constructed based on the information of ADS-B and geofence system. Moreover, a geofence layering algorithm is proposed. Secondly, the Flight Mode Change Points (FMCP) are used to define the relevant mode transition parameters and design the guard conditions, so as to generate the mode transition probability matrix… More >

Farzad Ebrahimi¹, Ali Dabbagh², Abbas Rastgoo², Timon Rabczuk^{3, *}

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 41-64, 2020, DOI:10.32604/cmc.2020.07947 - 30 March 2020

Abstract We propose a multiscale approach to study the influence of carbon nanotubes’ agglomeration on the stability of hybrid nanocomposite plates. The hybrid nanocomposite consists of both macro- and nano-scale reinforcing fibers dispersed in a polymer matrix. The equivalent material properties are calculated by coupling the Eshelby-Mori-Tanaka model with the rule of mixture accounting for effects of CNTs inside the generated clusters. Furthermore, an energy based approach is implemented to obtain the governing equations of the problem utilizing a refined higher-order plate theorem. Subsequently, the derived equations are solved by Galerkin’s analytical method to predict the More >

T. Jayasree^1,*, R. Prem Ananth²

Sound & Vibration, Vol.54, No.1, pp. 57-74, 2020, DOI:10.32604/sv.2020.08573 - 01 March 2020

Abstract Vehicles generate dissimilar sound patterns under different working environments. These generated sound patterns signify the condition of the engines, which in turn is used for diagnosing various faults. In this paper, the sound signals produced by motorcycles are analyzed to locate various faults. The important attributes are extracted from the generated sound signals based on time, frequency and wavelet domains which clearly describe the statistical behavior of the signals. Further, various types of faults are classified using the Extreme Learning Machine (ELM) classifier from the extracted features. Moreover, the improved classification performance is obtained by More >

Abeer I. Alhujaylan^{1, 2, *}, Manar I. Hosny¹

CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1025-1051, 2020, DOI:10.32604/cmc.2020.08742

Abstract Mobile commerce (m-commerce) contributes to increasing the popularity of electronic commerce (e-commerce), allowing anybody to sell or buy goods using a mobile device or tablet anywhere and at any time. As demand for e-commerce increases tremendously, the pressure on delivery companies increases to organise their transportation plans to achieve profits and customer satisfaction. One important planning problem in this domain is the multi-vehicle profitable pickup and delivery problem (MVPPDP), where a selected set of pickup and delivery customers need to be served within certain allowed trip time. In this paper, we proposed hybrid clustering algorithms More >

Yonghong Zhao¹, Changsheng Wang², Huanquan Yuan¹, Yongcheng Li¹, Chunlai Shan², Wenbin Hou^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 351-376, 2020, DOI:10.32604/cmes.2020.08058 - 01 January 2020

Abstract This article presents a systematic research methodology of modular design for conceptual auto body frame by hybrid optimization method. A modified graph-based decomposition optimization algorithm is utilized to generate an optimal BIW assembly topo model composed of “potential modules”. The consistency constraint function in collaborative optimization is extended to maximize the commonality of modules and minimize the performance loss of all car types in the same product family simultaneously. A novel screening method is employed to select both “basic structures” and “reinforcement” modules based on the dimension optimization of the manufacturing elements and the optimal More >

Omid Mahdi Ebadati E.^{1, *}, Farshad Eshghi², Amin Zamani¹

CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 323-349, 2020, DOI:10.32604/cmes.2020.08079 - 01 January 2020

Abstract Transmission pipelines are vulnerable to various accidents and acts of vandalism. Therefore, a reliable monitoring system is needed to secure the transmission pipelines. A wireless sensor network is a wireless network consisting of distributed devices distributed at various distances, which monitors the physical and environmental conditions using sensors. Wireless sensor networks have many uses, including the built-in sensor on the outside of the pipeline or installed to support bridge structures, robotics, healthcare, environmental monitoring, etc. Wireless Sensor networks could be used to monitor the temperature, pressure, leak detection and sabotage of transmission lines. Wireless sensor… More >