ANN based modelling of hydrodynamic cavitation processes: Biomass pre-treatment and wastewater treatment.

ABSTRACT: We have developed artificial neural network (ANN) based models for simulating two application examples of hydrodynamic cavitation (HC) namely, biomass pre-treatment to enhance biogas and degradation of organic pollutants in water. The first case reports data on influence of number of passes through HC reactor on bio-methane generation from bagasse. The second case reports data on influence of HC reactor scale on degradation of dichloroaniline (DCA). Similar to most of the HC based applications, the availability of experimental data for these two applications is rather limited. In this work a systematic methodology for developing ANN model is presented. The models were shown to describe the experimental data very well. The ANN models were then evaluated for their ability to interpolate and

SUBMITTER: Ranade NV 

PROVIDER: S-EPMC7803855 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature