Abstract-currently, microwaves are widely used in chemical industry to accelerate chemical reactions. Some research results have shown that microwave heating can significantly accelerate the reaction. However, there is a need to develop efficient methods to improve the design of microwave applicator in chemistry. In this paper, a numerical model was presented to study the microwave heating on saponification reaction in test tube, where the reactant was considered as a mixture of dilute solution. The coupled electromagnetic field equations, reaction equation (RE) and heat transport equation (HTE) were solved by using finite difference time domain (FDTD) method. To overcome the difficulty of long time calculation with FDTD, two types of techniques were employed. To verify the methods, the temperature rising in the test tube and transmitted power through the transversal electromagnetic (TEM) cell were measured and compared with the computational results. Good agreement can be seen between the measured and calculated results.
In view of the lack of effective information fusion model for heterogeneous multi-sensor, an improved Dempster/Shafer (DS) evidence theory algorithm is designed to fuse heterogeneous multi-sensor information. The algorithm first introduces the compatibility coefficient to characterize the compatibility between the evidence, obtains the weight matrix of each proposition, and then redistributes the basic probability distribution of each focal element to obtain a new evidence source. Then the concept of credibility is introduced, and the average support of evidence credibility and evidence focal element is used to improve the synthesis rule, so as to obtain the fusion result. Compared with other algorithms, the proposed algorithm can solve the problems existing in DS evidence theory when dealing with highly conflicting evidence to a certain extent, and the fusion results are more reasonable and the convergence speed is faster.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.