Optimization and Prediction of Reaction Parameters of Plastic Pyrolysis Oil Production Using Taguchi Method

Design of Experiments (DoE) is a powerful guiding tool that can help researchers to identify the main variables that affect the performance characteristics. The present paper elaborates the optimization and prediction of reaction parameters like type of plastic, catalyst and temperature using Taguchi's L9 orthogonal array method with three levels and three parameters to obtain the highest yield of plastic oil. To determine the effect of each parameter, the Signal to Noise (S/N) ratio was calculated based on the experiments conducted. In this investigation, contributions of reaction parameters were analyzed by Analysis of Variance (ANOVA) using statistical software Minitab-16. Based on the investigation, the reaction parameters like type of plastic: Low-Density Polyethylene (LDPE), catalyst: Silica alumina (SA), and temperature: 500 degrees C are optimized to get the better yield of oil. Based on the confirmatory trial, the oil yield of about 95.4%, the gas yield of about 3.4%, and solid residue as 1.2% were obtained, which is better than the normal trails.