Diameter prediction and optimization of hot extrusion-synthesized polypropylene filament using statistical and soft computing techniques

• Main Authors: Ong, Pauline, Ho, Choon Sin, Chin, Desmond Daniel Vui Sheng, Sia, Chee Kiong, Ng, Chuan Huat, Wahab, Md Saidin, Bala, Abduladim Salem
• Format: Article
• Language: English
• Published: Springer 2019
• Subjects: QA299.6-433 Analysis
• Online Access: http://eprints.uthm.edu.my/4390/1/AJ%202019%20%28263%29.pdf; http://eprints.uthm.edu.my/4390/; https://doi.org/10.1007/s10845-017-1365-8

In this study, statistical and soft computing techniques were developed to investigate effect of process parameters on diameter of extruded filament made of polypropylene in hot extrusion. A multi-factors experiment was designed with process parameters of screw speed, roller speed and die temperatur...