Experimental and Statistical Optimization of Electrostatic Separation Using Three-Level Full Factorial Design

Abstract

The recycling of materials plays a pivotal role in mitigating environmental degradation and advancing sustainability goals. Among recycled substances, aluminum and plastic are extensively utilized across various industries, including packaging, construction, and consumer goods. Electrostatic separation, a cutting-edge technology, has gained prominence for its efficiency in segregating materials with minimal environmental impact. This technique allows for effective separation without substantial damage to the materials or the use of harmful chemicals, thereby enhancing recycling rates and supporting circular economy principles. This paper investigates the optimization of electrostatic separation for aluminum and plastic composites through a three-level full factorial experimental design, aiming to maximize aluminum purity and recovery efficiency. The results underline the potential of this method to improve material recovery and energy efficiency while minimizing waste.