Home
  • English
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Log In
    Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • ÄŒeÅ¡tina
    • Deutsch
    • Español
    • Français
    • Gàidhlig
    • LatvieÅ¡u
    • Magyar
    • Nederlands
    • Português
    • Português do Brasil
    • Suomi
    • Log In
      Have you forgotten your password?
  1. Home
 
Options

Optimization of warpage on battery cover for hair clipper plastic part using response surface methodology (RSM) and firefly algorithm method (FA)

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2019-07-30
Author(s)
Nabila W.P.N.
Nasir S.M.
Sazli S.M.
Fathullah M.
Irfan A.R.
DOI
10.1063/1.5118209
Handle (URI)
https://hdl.handle.net/20.500.14170/10596
Abstract
Warpage is the distortion caused by uniform shrinkage inside the plastic part in an injection moulded part. Battery cover for hair clipper was chosen as the plastic part that need to minimize their warpage value. In this study the value of warpage was minimize by using Response Surface Methodology and proceed with the Firefly Algorithm method. The mathematical model obtain from RSM. From the previous researches there are various ways of method in reducing this defect such as Response Surface Methodology (RSM) and Firefly Algorithm (FA). The simulation run by using Autodesk Moldflow Insight (AMI) 2012 software and the variable parameters of the process are cooling time, packing time, melt temperature and mould temperature. In this study, hair clipper battery cover was analysed using polypropylene (PP) thermoplastic material used as the moulded material. Design of Experiment (DOE) and Response surface methodology method were used to analyse the optimal process parameters setting Then, Design Expert 7.0 software is used to determine the mathematical modelling and will be used in FA. FA will be optimized the process parameter setting and improve the warpage based on setting in AMI. The RSM and FA is use to optimize the process parameter setting and also minimize the warpage value.
Thumbnail Image
google-scholar
Views
Downloads
  • About Us
  • Contact Us
  • Policies