Material removal mechanism of PTMCs in high-speed grinding when considering consecutive action of two abrasive grains View Full Text


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Article Info

DATE

2019-01

AUTHORS

Huan Zhou, Wenfeng Ding, Chaojie Liu

ABSTRACT

An effective finite element (FE) simulation model characterizing the material removal behavior of TiCp/Ti-6Al-4V titanium matrix composites in high-speed grinding process was developed when considering consecutive action of two abrasive grains. The resultant stress and grinding force have been analyzed to study the crack propagation behavior. The effect of the undeformed chip thickness on the ground surface defects was discussed. It was found that in the material removal process of PTMCs, the brittle removal of TiCp and the plastic removal of Ti-6Al-4V matrix would happen simultaneously until the reinforcing particle completely failed in the grinding process. The maximum Mises stress and single-grain grinding forces fluctuate weakly and smoothly once the crack is produced in the reinforcing TiCp. As for the reinforcing TiCp without crack inside, the crushing depth increases with the increase of the undeformed chip thickness in grinding. However, as for the TiCp with residual crack inside, due to the stress concentration in the tip of the crack, the TiCp is always cracked in chunks when the undeformed chip thickness changes from 0.3 to 0.9 μm in grinding. Finally, the FE simulation results are validated true through the high-speed grinding experiment of PTMCs. More... »

PAGES

153-165

References to SciGraph publications

  • 2011-12. Development of a novel ultrasonic unit for grinding of ceramic matrix composites in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-05. Modeling machining of particle-reinforced aluminum-based metal matrix composites using cohesive zone elements in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2009-06. Relationships Between Abrasive Wear, Hardness, and Grinding Characteristics of Titanium-Based Metal-Matrix Composites in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • 2011-10. Finite element simulation of high-speed machining of titanium alloy (Ti–6Al–4V) based on ductile failure model in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2016-10. Performances of Al2O3/SiC hybrid nanofluids in minimum-quantity lubrication grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-07. Simulation study on defect formation mechanism of the machined surface in milling of high volume fraction SiCp/Al composite in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2016-02. The milling simulation and experimental research on high volume fraction of SiCp/Al in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2014-04. Tribological characteristics in high-speed grinding of alumina with brazed diamond wheels in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2016-01. Analysis of tool-particle interactions during cutting process of metal matrix composites in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2017-05. Prediction of grinding temperature of PTMCs based on the varied coefficients of friction in conventional-speed and high-speed surface grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2017-03. Formation mechanism and geometry characteristics of exit-direction burrs generated in surface grinding of Ti-6Al-4V titanium alloy in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-10. A study on chip shape and chip-forming mechanism in grinding of high volume fraction SiC particle reinforced Al-matrix composites in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-05. Experimental research on the energy ratio coefficient and specific grinding energy in nanoparticle jet MQL grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2014-04. Analysis of suspension stability for nanofluid applied in minimum quantity lubricant grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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    43 schema:description An effective finite element (FE) simulation model characterizing the material removal behavior of TiCp/Ti-6Al-4V titanium matrix composites in high-speed grinding process was developed when considering consecutive action of two abrasive grains. The resultant stress and grinding force have been analyzed to study the crack propagation behavior. The effect of the undeformed chip thickness on the ground surface defects was discussed. It was found that in the material removal process of PTMCs, the brittle removal of TiCp and the plastic removal of Ti-6Al-4V matrix would happen simultaneously until the reinforcing particle completely failed in the grinding process. The maximum Mises stress and single-grain grinding forces fluctuate weakly and smoothly once the crack is produced in the reinforcing TiCp. As for the reinforcing TiCp without crack inside, the crushing depth increases with the increase of the undeformed chip thickness in grinding. However, as for the TiCp with residual crack inside, due to the stress concentration in the tip of the crack, the TiCp is always cracked in chunks when the undeformed chip thickness changes from 0.3 to 0.9 μm in grinding. Finally, the FE simulation results are validated true through the high-speed grinding experiment of PTMCs.
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