91
Views
18
CrossRef citations to date
0
Altmetric
Original Articles

On the futuristic machine control in a STEP-compliant manufacturing scenario

, &
Pages 508-515 | Published online: 19 Feb 2007
 

Abstract

STEP-NC (ISO 14649) provides a new data interface for computer numerical control (CNC) machine tools. However, replacing the current ISO 6983 with STEP-NC is not only a matter of change in NC programming language but it also has a far-reaching and profound effect on the future CNCs and even on manufacturing systems. The CNCs are destined to evolve from pure controllers into integrated systems with both decision-making and control abilities. In this paper, strategies for implementing the STEP-compliant CNC systems are discussed and a framework for the autonomous STEP-NC controller is proposed. The controller is organized into two agents: the planning agent and the machining agent. This paper also provides a general discussion on issues about the part program interpretation, the on-line process planning. In order to support dynamic planning as well as meet the real-time requirements in NC machining, it is proposed to solve the on-line planning issues in two stages, i.e. the shop-floor planning and the real-time planning. It is also proposed to extend the feature-based algorithm to the interpolation stage.

Acknowledgements

The authors wish to thank National Natural Science Foundation of China (grant No. 50445004) and Natural Science Foundation of Shandong (grant No. Y2003F10) for their support of this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 528.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.