Skip to main content
SpringerLink
Log in

A Software System for Thin-walled Parts Deformation Analysis

  • Conference paper
  • First Online:
Advances in Artificial Systems for Medicine and Education (AIMEE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  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. 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. 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. 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. 53-60

    Google Scholar 

  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. 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. 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. 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. Drools Documentation. JBossDeveloper, 2016. URL: http://docs.jboss.org/drools/release/6.4.0.Final/drools-docs/html/

Download references

Author information

Authors and Affiliations

  1. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, 101990, Russia

    P. A. Eremeykin

  2. Bauman Moscow State Technical University, Moscow, 105005, Russia

    A. D. Zhargalova & S. S. Gavriushin

Authors
  1. P. A. Eremeykin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. D. Zhargalova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. S. Gavriushin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. A. Eremeykin .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences , Moscow, Russia

    Sergey Petoukhov

  3. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, Florida, USA

    Matthew He

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Eremeykin, P.A., Zhargalova, A.D., Gavriushin, S.S. (2018). A Software System for Thin-walled Parts Deformation Analysis. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67349-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67348-6

  • Online ISBN: 978-3-319-67349-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation