A Software System for Thin-walled Parts Deformation Analysis

  • P. A. Eremeykin
  • A. D. Zhargalova
  • S. S. Gavriushin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 658)

Abstract

This article concerns problems related with thin-walled parts procesing. Emphasis is placed on a “soft” cutting modes method automation. The method is based on choosing the rational machining conditions and taking into account the technological deformations. The article highlights the issues arising during the system development. Authors suggest solutions using modern software libraries and techniques.

Keywords

Thin-walled part Numerical modeling Turning Software development Finite element analysis (FEA) 

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References

  1. 1.
    Khairul Akmal Shamsuddin, A. R. Ab-Kadir, Mohd Hairizal Osman. A Comparison of Milling Cutting Path Strategies for Thin-Walled Aluminium Alloys Fabrication // The International Journal Of Engineering And Science, 2013. - № .3.Google Scholar
  2. 2.
    Isaev A., Grechishnikov V., Pivkin P., Kozochkin M. et al. Machining of thin-walled parts produced by additive manufacturing technologies // 48th CIRP Conference on Manufacturing Systems - CIRP CMS, 2015.Google Scholar
  3. 3.
    Arbuzov E. V., Zhargalova A. D., Lazarenko G. P., Semisalov V. I. The problem of deformation of thin-walled parts during turning // Nauka i obrazovanie, 2014. - №2.Google Scholar
  4. 4.
    Gavriushin S.S., Zhargalova A.D., Lazarenko G.P., Semisalov V.I. The method for determining the conditions for thin-walled parts machining // Izvestiya vysshih uchebnyh zavedenij. Mashinostroenie, 2015. - №1. - p. 53-60Google Scholar
  5. 5.
    G. Sridhar, G. Venkateswarlu,”Multi Objective Optimisation of Turning Process Parameters on EN 8 Steel using Grey Relational Analysis”, International Journal of Engineering and Manufacturing (IJEM), vol.4, no.4, pp.14-25, 2014.DOI:  10.5815/ijem.2014.04.02
  6. 6.
    Ratchev S., Liu S., Huang W., Becker A. Milling error prediction and compensation in machining of low-rigidity parts // International Journal of Machine Tools & Manufacture, 2004.- № 44.Google Scholar
  7. 7.
    Villumsen M.F., Fauerholdt T.G. Prediction of Cutting Forces in Metal Cutting, Using the Finite Element Method, a Lagrangian Approach.// Konferenzbeitrag, LS-DYNA Anwenderforum, Bamberg 2008.Google Scholar
  8. 8.
    Kosilova A.G., Meshcheryakov R.K., The reference book of the technologist of the machine builder. Vol. 2 - M. Mashinostroenie, 1986. - 418 pp.Google Scholar
  9. 9.
    Drools Documentation. JBossDeveloper, 2016. URL: http://docs.jboss.org/drools/release/6.4.0.Final/drools-docs/html/

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • P. A. Eremeykin
    • 1
  • A. D. Zhargalova
    • 2
  • S. S. Gavriushin
    • 2
  1. 1.Mechanical Engineering Research Institute of the Russian Academy of SciencesMoscowRussia
  2. 2.Bauman Moscow State Technical UniversityMoscowRussia

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