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This study investigated the effect of process variables on the biodegradation of starch-plastics composite. The extrusion process was carried out with low-density polyethylene (LDPE)-starch blends in varied extrusion temperature and extruder speed and starch content. The parametric analysis based on the three-dimensional plots revealed a non-linear relationship between the input parameters and output. The datasets obtained from the extrusion process was employed for data-driven modeling using radial basis function, a machine learning algorithm. The radial basis function was trained using the backpropagation rule resulting in the prediction of the tensile strength, elongation to break, and yield point of the LDPEstarch composite. The robustness of the radial basis function in modeling the process is evident from the R 2 of 0.804, 0.855, and 0.766 obtained to predict tensile strength, elongation to break, and yield point, respectively, with minima prediction errors. The extrusion temperature, extruder speed, and starch content significantly influenced the predicted tensile strength, elongation to break, and yield point. However, the extrusion temperature was found to have the most significant effect. This study can be employed in understanding the appropriate conditions of parameters required to obtain a degradable material based on its mechanical properties.

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Due to the importance of the evaporation process and the need to control it in many chemical and production processes, this study was conducted to investigate the effect of magnetic field and salt on changes in water evaporation values at forced convection. In this study, to investigate the effect of salt and magnetic field variables on air temperature, water temperature, velocity, and relative humidity of the air, A laboratory device designed and measured the amount of evaporated water by inducing different conditions. The results of the present study showed that the magnetic field has a direct effect on the rate of change of evaporated water concentration so that increasing the strength of the magnetic field directly increases the amount of evaporation and these changes in the control group and group N at the probability level. 5% is significant so that the lowest evaporation rate belonged to the group with 0.5 Tesla and the highest evaporation rate belonged to the 1.5 Tesla group. Also, the results of the salt group showed that the amount of salt decreased the Evaporation values of water. The results showed that the magnetic field increased evaporation and the salt decreased evaporation.