Engineering of aluminium matrix composite (AMC) reinforcement organoclay based on hotpress method using adaptive neuro-fuzzy inference system (ANFIS)

Research output: Contribution to journalConference articlepeer-review

Abstract

Aluminum Matrix Composite (AMC) reinforced organoclay is a widely used material in automotive where there is a significant increase in mechanical strength, especially if reinforced nano-sized particles. This study aims to obtain AMC with a variation of composition 1-3% wt organoclay. The method used in this research is Hotpress. Testing (characterisation) use XRD, Optical Microscope Hardness Tester. Adaptive Neuro-Fuzzy inference system (ANFIS) model can forecast density and Microhardness of AMC. The pressure used is 137.8951458634 MPa, and the temperature is varied from 490°C-600°C with a holding time of 3 hours. Testing (characterisation) is carried out using XRD, Optical Microscope, Hardness Tester, Ultrasonic testing. The results showed that the hardness increased from 15 HVN to 197 HVN. The mass density increases, and reaches optimal at a composition of 550°C with the addition of 1% by weight of organoclay, the microstructure shows AMC formed which is shown in grey and increasing hardness and density indicated by black (porosity).

Original languageEnglish
Article number012156
JournalIOP Conference Series: Materials Science and Engineering
Volume509
Issue number1
DOIs
Publication statusPublished - 3 May 2019
Event13th Joint Conference on Chemistry, JCC 2018 - Semarang, Indonesia
Duration: 7 Sep 20188 Sep 2018

Keywords

  • Adaptive neuro-fuzzy inference system
  • Aluminium
  • AMC
  • ANFIS
  • automotive
  • composite
  • Hotpress
  • metal matrix
  • organoclay

Fingerprint

Dive into the research topics of 'Engineering of aluminium matrix composite (AMC) reinforcement organoclay based on hotpress method using adaptive neuro-fuzzy inference system (ANFIS)'. Together they form a unique fingerprint.

Cite this