Title: Optimising centrifugal drying for moisture reduction in plastic waste: design of experiment and decision tree analysis approaches

Authors: Iwan H. Sahputra; Debora Anne Yang Aysia; Ignasius J. Boediono

Addresses: Industrial Engineering Department, Petra Christian University, Surabaya, Indonesia ' Industrial Engineering Department, Petra Christian University, Surabaya, Indonesia ' Industrial Engineering Department, Petra Christian University, Surabaya, Indonesia

Abstract: This study aims to identify ways to reduce the moisture content of plastic waste by optimising the drying process. The ANOVA's results show the number of cycles significantly affects the decrease in the moisture content. The mass flow rate and the interaction between the number of cycles and the mass flow rate do not affect the moisture content. The Tukey test shows two groups for the mass flow rate having a difference in moisture content when using the highest and the lowest mass flow rate. The Tukey test also shows that the number of cycles influences the moisture content. The decision tree model indicates that the number of cycles significantly affects the moisture content. The model also shows that the mass flow rate does not affect the moisture content at a lower number of cycles (≤2). However, the mass flow rate significantly affects the moisture content in the case of a greater number of cycles (especially >4).

Keywords: moisture content; plastic waste; centrifugal drying; design of experiment; decision tree.

DOI: 10.1504/PIE.2024.144608

Progress in Industrial Ecology, An International Journal, 2024 Vol.17 No.4, pp.309 - 320

Received: 08 Jun 2023
Accepted: 06 Dec 2023
Published online: 25 Feb 2025 *

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