Xiaodong Xia , Junhua Xiao , Weidong Yang , George J. Weng
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引用次数: 0
Abstract
The strain sensing characteristics of MWCNT-based nanocomposite sensors are highly dependent on the orientation and distribution of CNTs. Most CNT sensors are neither perfectly aligned nor randomly oriented; they are just the two limiting state of partially aligned sensors. To cover this wider distribution, an anisotropic homogenization model is established to study the axial and transverse multi-field coupled performances of MWCNT-based nanocomposite strain sensors from perfectly aligned to randomly oriented state. The transversely isotropic conductivity and mechanical moduli are utilized as the dual homogenization parameters in the present anisotropic analysis. The effective mechanical moduli are evaluated via the Mori-Tanaka method, while the electrical conductivities are calculated by the effective-medium approximation. The loading-dependent tunneling distance among the partially aligned MWCNTs is established under the axial or transverse loading to assess the contribution of electron tunneling. The predicted axial and transverse strain sensing capacities, including the resistance change ratios and strain sensitivity factors, of partially aligned MWCNT-based nanocomposite sensors are demonstrated and shown to agree with experiments. The axial sensing characteristics of a partially aligned strain sensor is higher than that of a randomly oriented one due to the alignment of MWCNTs. The optimal MWCNT volume fraction of high strain sensing characteristics is determined to be near the percolation threshold. The revealed anisotropic electromechanically coupled behaviors can provide guidance to tailor the axial and transverse sensing characteristics for the general class of partially aligned nanocomposite strain sensors.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.