Maxillofacial prostheses is a dental medicine specialty aimed at restoring anatomical facial defects caused by cancer, trauma or congenital malformations through an artificial device, which is commonly attached to the skin with the help of an adhesive. The purpose of our research was to develop a pressure-sensitive adhesive (PSA) based on acrylic monomers, characterizing and determining its dry...

Abstract Recently, microwave-assisted drying is an emerging technique that can help to accelerate the water removal process. In this paper, a experimental study of carrot slides presented. A heat pump dryer fabricated where agent temperature, supplied microwave power, and circulative fan speed are easy adjust. series 61 experiments conducted with range temperature from 35 °C 45 °C, power 0 1.25...

in this study, a single layer sliced potato was dried using an infrared lamp heating under vacuum over three levels of radiant power including 100, 150 and 200 w, three slices thickness 1, 2 and 3 mm and the absolute pressure of 20, 80, 140 and 760 mmhg. samples were dried in triplicate to achieve 6% moisture content (wet based) which is suitable for long-term storage. drying rate was monitored...

this is the first attempt at process modeling in terms of predictive control using a hierachical method based on regression analysis and artificial neural networks (anns). this hierachical method leads to the reliability improvement of neural model of the process in predicting (extrapolation and interpolation) the process output. such an outlook makes it possible to predict the proper input set...

Porous structures containing pores at different length scales are often encountered in nature and are important in many applications. While several processing routes have been demonstrated to create such hierarchical porous materials, most methods either require chemical gelation reactions or do not allow for the desired control of pore sizes over multiple length scales. We describe a versatile...

This study aimed to model the performance indices of deep bed drying of rough rice using artificial neural networks (ANNs), compare the ANN approach to the multivariate regression method, and determine the sensitivity of the ANN model to the input variables. The effects of air temperature, air velocity, and air relative humidity on drying kinetics, product output rate (POR), evaporation rate (E...