In this paper, we study the transport of polystyrene polymer. They are transported using non contact method. We use DC motor having rollers. The motor is connected to switched mode power supply (SMPS) and controller. The voltage of the SMPS is 12 V. The controller controls the voltage of the motor. We study voltage of the motor from 1 V to 8 V. The motor have capacity of 12 V. The current of the motor at 12 V are 1.2 A. The switched mode power supply have electrical plug. We supply 220 V AC supply to SMPS. They have AC to DC converter. Here, the length of the polystyrene is 2 cm, width 2 cm and thickness is 0.082 mm. The mass is measured. We observe the polystyrene do not move from 1 V to 4 V. The transport is from 0.2 cm to 3 cm under the application of 5 V to 8 V, respectively. Further movement are not observed. The multimeters are used to measure the current-voltage characteristics of the motor. They are used to measure the voltage of the SMPS. In this paper, we develop theory to understand the transport of polystyrene under the action of DC motor. We develop two neural network models. The data driven neural network and physics from theory informed in the neural network. The neural network model match the experiments. The accuracy is good. Our simulations use less computer power and time. The training time is 30 s and predict time is 0.07 s. Our work can find applications in printing, packaging, decor, energy, sensors and material handling industries.
Nandigana V. R. Vishal (Thu,) studied this question.