Novel extruder

Abstract

The present invention relates to an advanced control and monitoring system for extrusion processes. The system enables in-line measurement of various parameters such as electrical conductivity, ultrasound conductivity, pressure, temperature, flow rate, viscosity, density, oxidation potential, modulus of elasticity, and other parameters relevant to food engineering (enabling objective measurement of output product quality), as well as back torque on the extrusion screw, extrusion speed, pressure, and so on. The system uses a melt pump for food extrusion and an ink-jet style injection for material feeding. The invention includes a feedback loop for process control, which uses vision, machine learning, and artificial intelligence to optimize the extrusion process based on quality of output and characteristics of input raw materials. The control and monitoring system uses an algorithm that employs machine learning, reinforcement learning, iteration, and extrapolation from previous closest input data.

Dependencies are inferred from the claim text.