1 Search Results for "Ye, Xialong"

Document
DOI: 10.4230/OASIcs.iPMVM.2020.13
An Improved Particle Finite Element Method for the Simulation of Machining Processes

Authors: Xialong Ye, Juan Manuel Rodríguez Prieto, and Ralf Müller

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
Machining is one of the most common and versatile manufacturing processes in industry, e.g. automotive industry and aerospace industry. But classical numerical methods such as the Finite Element Method (FEM) have difficulties to simulate it, because the material undergoes large deformations, large strain, large strain rates and high temperatures in this process. One option to simulate such kind of problems is the Particle Finite Element Method (PFEM) which combines the advantages of continuum mechanics and discrete modeling techniques. In this study we develop the PFEM further and call it the Adaptive Particle Finite Element Method (A-PFEM). Compared to the PFEM the A-PFEM enables insertion of particles and improves significantly the mesh quality along the numerical simulation. The A-PFEM improves accuracy and precision, while it decreases computing time and resolves the phenomena that take place in machining. Because metal cutting involves plastic deformation we resort to the J₂ flow theory with isotropic hardening. At last some numerical examples are presented to compare the performance of the PFEM and A-PFEM.
Cite as

Xialong Ye, Juan Manuel Rodríguez Prieto, and Ralf Müller. An Improved Particle Finite Element Method for the Simulation of Machining Processes. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 13:1-13:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

Copy BibTex To Clipboard

@InProceedings{ye_et_al:OASIcs.iPMVM.2020.13,
  author =	{Ye, Xialong and Prieto, Juan Manuel Rodr{\'\i}guez and M\"{u}ller, Ralf},
  title =	{{An Improved Particle Finite Element Method for the Simulation of Machining Processes}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{13:1--13:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.13},
  URN =		{urn:nbn:de:0030-drops-137628},
  doi =		{10.4230/OASIcs.iPMVM.2020.13},
  annote =	{Keywords: Particle Finite Element Method, Alpha Shape Method, Metal Cutting}
}
  • Refine by Author
  • 1 Müller, Ralf
  • 1 Prieto, Juan Manuel Rodríguez
  • 1 Ye, Xialong

  • Refine by Classification
  • 1 Applied computing → Physical sciences and engineering

  • Refine by Keyword
  • 1 Alpha Shape Method
  • 1 Metal Cutting
  • 1 Particle Finite Element Method

  • Refine by Type
  • 1 document

  • Refine by Publication Year
  • 1 2021

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact