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A multi-perspective dynamic feature concept in adaptive NC machining of complex freeform surfaces

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Abstract

This paper presents a new concept of feature for freeform surface machining that defines the changes in feature status during real manufacturing situations which have not been sufficiently addressed by current international standards and previous research in feature technology. These changes are multi-perspective, including (i) changes in depth-of-cut: the geometry of a feature in the depth-of-cut direction changes during different machining operations such as roughing, semi-finishing and finishing; (ii) changes across the surface: a surface may be divided into different machining regions (effectively sub-features) for the selection of appropriate manufacturing methods for each region such as different cutting tools, parameters, set-ups or machine tools; and (iii) changes in resources or manufacturing capabilities may require the re-planning of depth-of-cuts, division of machining regions and manufacturing operations (machines, tools, set-ups and parameters). Adding the above dynamic information to the part information models in current CAD systems (which only represent the final state of parts) would significantly improve the accuracy, efficiency and timeliness of manufacturing planning and optimisation, especially for the integrated NC machining planning for complex freeform surfaces. A case study in an aircraft manufacturing company will be included in this paper.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Xu Liu & Yingguang Li

  2. Faculty of Engineering and Science, University of Greenwich, Chatham Maritime, Kent, ME4 4TB, UK

    James Gao

Authors
  1. Xu Liu
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  2. Yingguang Li
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  3. James Gao
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Correspondence to Yingguang Li.

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Liu, X., Li, Y. & Gao, J. A multi-perspective dynamic feature concept in adaptive NC machining of complex freeform surfaces. Int J Adv Manuf Technol 82, 1259–1268 (2016). https://doi.org/10.1007/s00170-015-7456-9

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  • DOI: https://doi.org/10.1007/s00170-015-7456-9

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