Study of machining process of sicp/al particle reinforced metal matrix composite using finite element analysis and experimental verification

  • Rashid Ali Laghari
  • , Jianguang Li*
  • , Wu Yongxiang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

In this paper, a two-dimensional orthogonal cutting simulation model of SiCp/Al composite was established. The geometry and material constitutive model of the particle, the matrix, and the interface layer have been modeled respectively. In view of the distribution of the particles in the matrix, this paper proposed respectively a two-dimensional particle random distribution to simulate particles randomly distributed in the matrix. Then, the cutting state of SiC reinforced particles was analyzed, the novel approach was adopted the geometric shapes of SiC particles in this study is taken as an oval shape. Three different locations of SiC particle relative to the cutting tool path were simulated to analyze the cutting state such as particle removal. The interface layer was introduced to the case that the particle was on the cutting path to study the influence on the stress and strain transfer. Through the post-processing of simulation results, the influence of interface property on the composite reinforcement effect was studied quantificationally. Finally, the cutting process of SiCp/Al composite material was simulated. This paper studied the influence on the machined surface morphology, chip morphology, stress distribution, and cutting force of many factors of the cutting speed and the cutting thickness. The single factor orthogonal cutting experiment was designed the influence of cutting speed and feed rate on the cutting force. The cutting force results of the experiment and the simulation were compared through the deviation analysis, which verified the simulation model.

Original languageEnglish
Article number5524
Pages (from-to)1-39
Number of pages39
JournalMaterials
Volume13
Issue number23
DOIs
StatePublished - 1 Dec 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Chip morphology
  • Constitutive model
  • Cutting force prediction
  • Finite element analysis
  • Machining process
  • SiCp/Al metal matrix composite
  • Stress distribution
  • Surface morphology

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics

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