Abstract As a promising energy storage device, an aqueous zinc ion battery (AZIB) still suffers dendrite growth, hydrogen evolution, and corrosion. Hydrogel electrolyte solves the above issues to some extent. Nevertheless, mechanical properties of most hydrogel electrolytes are not competitive enough meet booming demand for flexible electronics. In this work, robust “chain‐gear” (PM‐HE) crosslinked by polymeric micelles (PMs) is constructed, in which PMs serve as “gears” form structure with...

Abstract Aqueous zinc‐ion batteries (AZIBs) are emerging as sustainable energy storage systems, yet their practical application is challenged by issues such dendrite growth and hydrogen evolution. A critical factor in enhancing the performance of AZIBs development hydrogel electrolytes (HEs) which offer reduced free water, thereby mitigating side reactions preventing leakage. However, achieving a balance between water maintaining high ionic conductivity challenging. Herein,...

Discussed is the improvement of axial buckling capacity elliptical fiber-reinforced composite cylinders though material property tailoring by appropriately varying fiber orientation as a continuous function circumferential position. The study numerical in nature and relative to baseline quasi-isotropic cylinder with same geometry number layers, therefore weight, increases 30% are predicted for what considered small cylinders. Increases 35% larger Several angle variations position...

This paper proposes a new approach based on the kernel-free quadratic surface support vector machine model to handle binary classification problem with mislabeled information. Unlike traditional fuzzy and robust models that reduce weights of suspectable points or even discard them, our method first adopts intuitionistic set detect those points, then deletes their labels, indiscriminately utilizes full position information build semisupervised model. In this way, we can not only eliminate...

Thermal barrier coatings (TBCs) are inevitably subject to corrosion caused by molten calcium-magnesium-alumino-silicate (CMAS), which leads severe degradation in the properties of coatings. In this study, a novel device for evaluating wetting performance CMAS was developed, solved challenging problem measuring contact angle on TBCs at high temperatures. The and spreading behaviour under various conditions studied, effect factors such as temperature, surface roughness, coating preparation...

In order to improve the electrochemical capacity of lithium-sulfur batteries (LiSBs), it is necessary introduce porous organic frameworks with well-defined hetero atom species in cathode. this work, nanomaterials ultra-high nitrogen containing and adjustable porosity named Schiff-based networks (SNWs) were selected as potential candidate for sulfur host LiSBs. Two SNW samples have been constructed by reacting melamine phenyl or biphenyl dialdehydes through microwave-assisted method,...

Purpose This paper aims to study the mixed after-sales service which simultaneously offers return and replacement services. The authors develop a model propose what kind of firm should choose how make policy improve profit. extend literature on give some support managers decisions. Design/methodology/approach In this paper, use optimization modeling method describe situations offering two exclusive policies policy, respectively. They compare results in different cases analyze impact...

A cobalt( ii ) modified multifunctional porous organic framework (POF) as the cathode to obtain a high-performance lithium–sulfur battery.

Hydroxyapatite (HA, Ca10(PO4)6(OH)2) composite coatings added in the second phase could improve mechanical properties and bonding strength. The cold spraying technique, as a technology for deposition of solid particles at low temperatures, is employed to deposit HA ceramic coatings. nano material possesses characteristics that enhance promote interface bonding. Due exceptional Ti material, adding HA/Ti In order explore deformation mechanism under different conditions, numerical simulation...

Purpose Nowadays, some online retailing platforms emerge to integrate transport capacity provide standard distribution service for sellers. Such an integrated form of is defined as delivery alliance (DA). To have a better understanding how price the service, this study aims fixate on seller’s problems and builds series profit maximization models in accordance with two-sided market pricing theory within platform business model. Design/methodology/approach In present study, optimization are...

Past research has shown that the axial buckling load of thin-walled elliptical fiberreinforced composite cylinders can be improved by considering designs wherein fiber orientation varies with circumferential location. The present paper builds upon previous work expanding design space and also comparing computed loads a family conventional straight-fiber designs. is motivated fact if circular cylinder made same circumference, length, wall properties, decreases. By simply varying location,...

Lithium-sulfur (Li-S) batteries have been considered to be one of the most promising energy storage devices in next generation. However, insulating properties sulfur and shuttle effect soluble lithium polysulfides (LiPSs) seriously hinder practical application Li-S batteries. In this paper, a novel porous organic polymer (HUT3) was prepared based on polycondensation between melamine 1,4-phenylene diisocyanate. The micro morphology HUT3 improved byin situgrowth different mass fractions rGO...

Discussed is the improvement of axial buckling capacity elliptical fiber-reinforced composite cylinders though material property tailoring by appropriately varying fiber orientation as a continuous function circumferential position. The study numerical in nature and relative to baseline quasi-isotropic cylinder with same geometry number layers, therefore weight, increases 30% are predicted for what considered small cylinders. Increases 35% larger Several angle variations position...

Short-term load forecasting plays a vital role for the power system’s safe operation and production arrangements. This paper regards electric as nonlinear time series prediction problem, establishes autoregressive model (ARX Model) based on historical data, approaching ARX parameters with RBF neural network, estimating using Structured Nonlinear Parameters Optimization Method (SNPOM), proposing cycle method short-term forecasting. Experimental results show that has higher accuracy Keywords:...