Combining sliding mode neural network with Cuckoo Search to make a uniform microwave heating process

Li, Jianshuo; Xiong, Qingyu; Wang, Kai; Liang, Shan; Gao, Min

doi:10.3233/jae-140204

Cited by 3 publications

(1 citation statement)

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“…As a new heating method, microwave can greatly improve the reaction rate. Compared with the traditional heating method, microwave possesses numerous advantages, such as improved quality and instantaneous control [7,8]. Due to its unique heating principle, microwave heating has been widely used in various fields.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Oleic Acid Pretreatment for Microwave-Assisted Biodiesel Production

Hong

Xie

et al. 2018

Processes

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Oleic acid needs to be heated when it is utilized for biodiesel production, but, as a low-loss solution, oleic acid is difficult to heat by microwave. An efficient heating method for oleic acid is designed. A high loss material porous media is placed in a quartz tube, and a microwave directly heats the porous medium of the high loss material. The oleic acid flows through the pores of porous media so that the oleic acid exchanges heat during this process and rapid heating of oleic acid is achieved. A coupling model, based on the finite element method, is used to analyze the microwave heating process. The multiphysics model is based on a single mode cavity operating at 2450 MHz. An elaborate experimental system is developed to validate the multiphysics model through temperature measurements carried out for different flow velocities of oleic acid and different microwave power levels. The computational results are in good agreement with the experimental data. Based on the validated model, the effects of different sizes, porosities, and materials on microwave heating efficiency are analyzed.

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Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Oleic Acid Pretreatment for Microwave-Assisted Biodiesel Production

Hong

Xie

et al. 2018

Processes

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Dynamic analysis and simulation on continuous flow processing of biodiesel production in single-mode microwave cavity

Zhang

Lan

Hong

et al. 2016

International Journal of Applied Electromagnetics and Mechanics

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A comprehensive physics-based model is developed to understand and explain the process of continuous production of biodiesel via the application of microwaves. Microwave assisted biodiesel production is a complex interplay of electromagnetics, reaction between different components and heat and mass transfer in a tube for continuous manufacturing. The multiphysics model is based on a single mode cavity operating at 2450 MHz. Material properties required for multiphysics modeling are assumed as bivariate functions of reaction solution's component and temperature in this work. An elaborate experimental system was developed to validate the multiphysics model through temperature measurements carried out for different initial velocities of the reacting components. Excellent agreement was found between experimental values and model predictions with a maximum relative error of 0.908%. The model developed is elaborate from the point of view of physics which can explain the process of microwave-assisted production of biodiesel and it's very important for optimize the process before scaling up. Also, due to fluid flow, presence of hot spots and thermal runaway caused by the short penetration depth of the microwaves and relative long term microwave heating can be done away with especially for large scale.

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Linearizing control of a permanent magnet linear synchronous motor with inverse system scheme plus an internal model controller

Sun

Shi

Wang

et al. 2017

International Journal of Applied Electromagnetics and Mechanics

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Aimed at enhancing the control precision and speed tracking rapidity of a permanent magnet linear synchronous motor (PMLSM), a novel control scheme combining the inverse system method and the internal model control is proposed in this paper. A decoupling pseudo-linear system can be obtained by cascading the inverse model of the PMLSM with the original system. In addition, in order to improve the robustness of the whole system and to reject the influence of the unmodeled dynamics and various disturbances to the linearizing control accuracy, the internal model controller is used as the extra closed-loop controller for the pseudo-linear system. Therefore, the presented control scheme incorporates the advantages of both the inverse system method and the internal model control. The effectiveness of the proposed control scheme is verified by simulation and experimental results at various operations. Simulation studies are performed to prove the effectiveness of the proposed control scheme.

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Combining sliding mode neural network with Cuckoo Search to make a uniform microwave heating process

Cited by 3 publications

References 0 publications

Simulation and Analysis of Oleic Acid Pretreatment for Microwave-Assisted Biodiesel Production

Simulation and Analysis of Oleic Acid Pretreatment for Microwave-Assisted Biodiesel Production

Dynamic analysis and simulation on continuous flow processing of biodiesel production in single-mode microwave cavity

Linearizing control of a permanent magnet linear synchronous motor with inverse system scheme plus an internal model controller

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