Expect the unexpected in extrusion

The mathematical approaches used in recent years that address the problems associated with the molding process using a ?single-screw' extruder are discussed. Mathematical methods that have addressed the extrusion process include instances where the authors, M'Hammed Mountassir and Nina Visconti, used fuzzy logic systems and the Taguchi method based on three parameters attempting to optimize a single characteristic of the molding process on the AZ61 magnesium. Without showing the optimality of their solution, their work showed a good fit between their modeling and experimental data. Quantisweb methodology enables agile product development has been compared to other methods, such as the Taguchi approach, expert systems, neural networks, statistical and/or mathematical software. In this methodology, the molding process is divided into three phases, including the inputs, the extruder and the outputs. All controllable parameters (ingredients) and/or processes (speeds, temperatures, etc.) and/or geometric processes, with their respective intervals and range, must be identified. In addition, identify all the characteristics (uncontrollable) to optimize. The software can handle up to 200 variables (parameters) at once.