Vibratory peeningVibratory peening (VP) is a promising surface treatment method combining shot peening (SP) and vibratory finishing (VF) in a single step. It yields finished parts with improved surface quality and increased compressive residual stressResidual stress (CRS) consequently enhancing fatigue life. In this study, a sequential coupled discrete and finite element methods (DEM-FEM) simulationSimulation is proposed to predict in depth CRS profile with greater accuracy. The proposed simulationSimulation uses DEM to compute vibratory fluidized media dynamic (impact force, velocity), which is used as input for FEM peening model to predict CRS profile. An impact energy-based filtering is proposed to decrease the number of simulated impacts required enhancing the computational efficiency by 86%. The model also proposes correction to deviation between shot modeled with rigid elements and elastic elements in FEM peening simulationSimulation, leading to short computational time and greater accuracy. Simulated residual stressResidual stress profile has been validated using experimental data, and a relative error of less than 1% for maximum CRS and 6% for surface CRS is obtained.

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A DEM-FEM Coupled Model for Simulating Vibratory Peening of Ti6Al4V Alloy

  • Maxime Lombard,
  • Waris Nawaz Khan,
  • Maxime Paques,
  • Benoit Changeux,
  • Reza Tangestani,
  • Etienne Martin

摘要

Vibratory peeningVibratory peening (VP) is a promising surface treatment method combining shot peening (SP) and vibratory finishing (VF) in a single step. It yields finished parts with improved surface quality and increased compressive residual stressResidual stress (CRS) consequently enhancing fatigue life. In this study, a sequential coupled discrete and finite element methods (DEM-FEM) simulationSimulation is proposed to predict in depth CRS profile with greater accuracy. The proposed simulationSimulation uses DEM to compute vibratory fluidized media dynamic (impact force, velocity), which is used as input for FEM peening model to predict CRS profile. An impact energy-based filtering is proposed to decrease the number of simulated impacts required enhancing the computational efficiency by 86%. The model also proposes correction to deviation between shot modeled with rigid elements and elastic elements in FEM peening simulationSimulation, leading to short computational time and greater accuracy. Simulated residual stressResidual stress profile has been validated using experimental data, and a relative error of less than 1% for maximum CRS and 6% for surface CRS is obtained.