Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage’s using integrated approach of S/N ratio and composite desirability function

Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage’s using integrated approach of S/N ratio and composite desirability function

The present study is intended to optimize and develop a prediction model for horizontal injection moulding process parameters. The processing materials are polystyrene (PS) and polypropylene (PP), while the final products are cups. The mould material used is aluminum alloy 6061-T651. The process par...

Full description

Bibliographic Details
Main Authors: Qazi Muhammad Usman Jan, Tufail Habib, Sahar Noor, Muhammad Abas, Shakir Azim, Qazi Muhammad Yaseen
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
injection moulding
polystyrene
polypropylene
process parameters optimization
signal to noise ratio
composite desirability function
Online Access:http://dx.doi.org/10.1080/23311916.2020.1781424

Internet

http://dx.doi.org/10.1080/23311916.2020.1781424

Similar Items