Skip to main content
SpringerLink
Log in

A classification of multi-axis features based on manufacturing process

  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

An Erratum to this article was published on 15 October 2014

Abstract

A machining feature can be regarded as the shape of the removal volume through a cutting process, which represents some manufacturing attributes of a part. Since the machining feature can play a crucial role in process planning, it is desirable to name machining features in such a way that a clear correlation between machining features and machining methods are reflected in the feature classification. However, most researches dealing with this topic do not clearly show the relationship between machining features and machining processes. On the other hand, no consensus on the feature classification method exists yet, which causes confusion when using the term “feature”. As a result, use of the features has not been very helpful in manufacturing preparation such as machining process selection. In this paper, classification methods of multi-axis machining features known in relevant literatures are studied firstly. Secondly, machining characteristics of various features are investigated to find out the relationship between machining features and machining methods. Thirdly, based on the machining methods of features, a logical classification scheme of multi-axis machining features is proposed. And finally, the proposed feature taxonomy is verified through applying to an example part with multi-axis machining features.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

D cr :

critical size of diameter in hole taken from the maximum available drill size

W cr :

critical size of width in slot or step

References

  1. Eum, K., Kang, M., Kim, G., Park, M. W., and Kim, J. K., “Ontology-based Modeling of Process Selection Knowledge for Machining Feature” Int. J. Precis. Eng. Manuf., Vol. 14, No. 10, pp. 1719–1726, 2013.

    Article  Google Scholar 

  2. Kang, M., Han, J., and Moon, J., “An Approach for Interlinking Design and Process Planning” Journal of Materials Processing Technology, Vol. 139, No. 1, pp. 589–595, 2003.

    Article  Google Scholar 

  3. ISO 10303-224, “Industrial Automation Systems and Integration — Product Data Representation and Exchange — Part 224: Application Protocol: Mechanical Product Definition for Process Planning using Machining Features” 2006.

    Google Scholar 

  4. Cayiroglu, I., “A New Method for Machining Feature Extracting of Objects using 2D Technical Drawings” Computer-Aided Design, Vol. 41, No. 12, pp. 1008–1019, 2009.

    Article  Google Scholar 

  5. Bhandarkar, M.P. and Nagi, R., “STEP-based Feature Extraction from STEP Geometry for Agile Manufacturing” Computers in Industry, Vol. 41, No. 1, pp. 3–24, 2000.

    Article  Google Scholar 

  6. Liu, Z. and Wang, L., “Sequencing of Interacting Prismatic Machining Features for Process Planning” Computers in Industry, Vol. 58, No. 4, pp. 295–303, 2007.

    Article  Google Scholar 

  7. Lee, J. Y. and Kim, K., “A Feature-based Approach to Extracting Machining Features” Computer-Aided Design, Vol. 30, No. 13, pp. 1019–1035, 1998.

    Article  Google Scholar 

  8. Han, J., Kang, M., and Choi, H., “STEP-based Feature Recognition for Manufacturing Cost Optimization” Computer-Aided Design, Vol. 33, No. 9, pp. 671–686, 2001.

    Article  Google Scholar 

  9. Gindy, N. N. Z., “A Hierarchical Structure for Form Features” The International Journal of Production Research, Vol. 27, No. 12, pp. 2089–2103, 1989.

    Article  Google Scholar 

  10. Zhang, C., Chan, K., and Chen, Y., “A Method for Recognising Feature Interactions and Feature Components within the Interactions” The International Journal of Advanced Manufacturing Technology, Vol. 13, No. 10, pp. 713–722, 1997.

    Article  Google Scholar 

  11. Abu, R. and Md Tap, M., “Attribute based Feature Recognition for Machining Features” Jurnal Teknologi, Vol. 46, No. 1, pp. 87–103, 2012.

    Google Scholar 

  12. Shon, Y. T. and Park, M. W., “Recognition of Machining Features on Prismatic Components” Journal of Mechanical Science and Technology, Vol. 17, No. 6, pp. 1412–1422, 1993.

    Google Scholar 

  13. Xu, X. and Hinduja, S., “Recognition of Rough Machining Features in 21/2D Components” Computer-Aided Design, Vol. 30, No. 7, pp. 503–516, 1998.

    Article  MATH  Google Scholar 

  14. Gao, J. X. and Huang, X. X., “Product and Manufacturing Capability Modelling in an Integrated CAD/Process Planning Environment” The International Journal of Advanced Manufacturing Technology, Vol. 11, No. 1, pp. 43–51, 1996.

    Article  MathSciNet  Google Scholar 

  15. Kim, G. H., Kang, S. K., and Eum, K., “A Study on Classification of Multi-Axis Machining Features” Proc. of the Korean Society of Manufacturing Technology, Vol. 11, pp. 162–163, 2011.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Mechanical Engineering, Sunkyunkwan University, 2066, Seobu-ro, Suwon-si, Gyeonggi-do, South Korea, 440-746

    Mujin Kang, Gyungha Kim & Kwangho Eum

  2. Center for Bionics, Korea Institute of Science and Technology, 5, Hwarangno 14-gil, Seongbuk-gu, South Korea, 136-791

    Myon Woong Park & Jae Kwan Kim

Authors
  1. Mujin Kang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gyungha Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kwangho Eum
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Myon Woong Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jae Kwan Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gyungha Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, M., Kim, G., Eum, K. et al. A classification of multi-axis features based on manufacturing process. Int. J. Precis. Eng. Manuf. 15, 1255–1263 (2014). https://doi.org/10.1007/s12541-014-0465-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-014-0465-z

Keywords

Search

Navigation