Search

Since complex industrial chemical systems contain huge process data, these process data will present the operation characteristics and laws, and the use of appropriate methods to analyze the data is one of the feasible directions for fault diagnosis. In this paper, we analyze data from industrial chemical production processes using the support vector machine algorithm as our decision-making approach. Considering the large amount of data generated in industrial chemical systems and its nonlinear characteristics, this study applies Gaussian and non-Gaussian space to obtain the high-dimensional characteristics of the data before putting it into an SVM model. The rotary drying kiln production simulation experimental process is optimized by applying the fault diagnosis method, with the thermal efficiency shown by several tests being close to each other. The method proposed in this paper has obvious advantages in terms of search efficiency for a feasible global optimal solution.

Graphite (Gr)‐based lithium‐ion batteries with admirable electrochemical performance below −20 °C are desired but are hindered by sluggish interfacial charge transport and desolvation process. Li salt dissociation via Li+‐solvent interaction enables mobile Li+ liberation and contributes to bulk ion transport, while is contradictory to fast interfacial desolvation. Designing kinetically‐stable solid electrolyte interphase (SEI) without compromising strong Li+‐solvent interaction is expected to compatibly improve interfacial charge transport and desolvation kinetics. However, the relationship between physicochemical features and temperature‐dependent kinetics properties of SEI remains vague. Herein, we propose four key thermodynamics parameters of SEI potentially influencing low‐temperature electrochemistry, including electron work function, Li+ transfer barrier, surface energy, and desolvation energy. Based on the above parameters, we further define a novel descriptor, separation factor of SEI (SSEI), to quantitatively depict charge (Li+/e−) transport and solvent deprivation processes at Gr/electrolyte interface. A Li3PO4‐based, inorganics‐enriched SEI derived by Li difluorophosphate (LiDFP) additive exhibits the highest SSEI (4.89×103) to enable efficient Li+ conduction, e− blocking and rapid desolvation, and as a result, much suppressed Li‐metal precipitation, electrolyte decomposition and Gr sheets exfoliation, thus improving low‐temperature battery performances. Overall, our work originally provides visualized guides to improve low‐temperature reaction kinetics/thermodynamics by constructing desirable SEI chemistry. [ABSTRACT FROM AUTHOR]

This study numerically investigates the impact of micro-blowing/suction parameters on the flow and heat transfer characteristics. Different models and parameters are evaluated by energy saving rate and comprehensive performance coefficients. The numerical results indicate that micro-blowing reduces the wall friction drag, while micro-suction increases the wall friction, and the magnitude of drag reduction (or drag increase) increases with the augment of the micro-blowing/suction coefficient. The maximum drag reduction rates of the three models are 2.60%, 3.59%, and 3.83%, respectively. When micro-blowing and micro-suction are arranged at the bottom and top of the channel, respectively, or both arranged at the bottom of the channel, the Nusselt number increases by at least 69.75% and 89.45%, respectively. The arrangement of micro-blowing and micro-suction both arranged at the bottom of the channel is optimal for heat transfer and drag reduction. In addition, with the present three arrangements, energy saving in the channel flow can be achieved. [ABSTRACT FROM AUTHOR]

The dynamic electromechanical coupling behavior of composite materials is highly dependent on external excitation frequency. While degradable biomolecular materials typically exhibit lower piezoelectric coefficients compared to ceramics, neglecting their frequency‐dependent performance in the design of piezoelectric devices further leads to less efficient utilization of their piezoelectric properties. This oversight greatly hinders the practical application of these materials. To address this, a novel fractional derivation (FD) theory‐assisted model is introduced to reversely design the glycine‐polyvinyl alcohol (PVA) thin films for versatile enhanced bio‐applications. An electromechanical coupling model incorporating FD theory is developed to learn the relationships between FD parameters, film dimensions, and dynamic electromechanical properties. This model accurately predicts the electromechanical performance of the films across a wide frequency range, validated by both finite element simulations and experimental results. This therefore allows to establish key design principles for piezoelectric thin film in bioenergy harvesting and sensing, by tailoring thin film parameters to enhance the piezoelectric performance at specific stimuli frequencies. Demonstrations of glycine‐PVA film devices guided by this model reveal excellent performance in ultrasonic energy harvesting and carotid artery bio‐signal sensing. This study provides a robust theoretical framework for designing and optimizing biodegradable piezoelectric materials for various practical applications. [ABSTRACT FROM AUTHOR]