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Prediction of toolpath redundancy for NC machining of free-form surfaces based on automatic recognition of steep-wall features.

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Title: Prediction of toolpath redundancy for NC machining of free-form surfaces based on automatic recognition of steep-wall features.
Authors: Wang, Qing-Hui1 (AUTHOR), Zhang, Xiao-Ming1 (AUTHOR), Li, Jing-Rong1 (AUTHOR) lijr@scut.edu.cn, Tang, Chen-Sheng2 (AUTHOR)
Source: International Journal of Production Research. Jul2015, Vol. 53 Issue 14, p4304-4316. 13p. 6 Diagrams, 2 Charts, 1 Graph.
Subjects: Numerical control of machine tools, CAD/CAM systems, Manufacturing process automation, Computer integrated manufacturing systems, Machining, Machine tools -- Automatic control
Abstract: The degree of toolpath redundancy is a critical concern when looking for an appropriate toolpath strategy for free-form surface machining. Hence, quantitative analysis of toolpath redundancy is important to CAM applications. In this work, a novel approach for prediction of toolpath redundancy for free-form surface machining is proposed. Firstly, a general mathematical model to represent toolpath redundancy rate is proposed based on the analysis of local toolpath intervals and their difference from the optimal values. And then, taking the most widely used iso-planar machining as case study, the steep-wall features that bring in the variation of surface slope rates alone machining strips are identified as the main cause of the generation of toolpath redundancy, so a method to automatic recognising steep-wall features from free-form surface is developed. At last, based on the steep-wall feature segmentation, an algorithm is presented to quantitatively predict the toolpath redundancy rate for free-form surface machining. A comparison study is made between the predicted redundancy rates and the experimental results by a number of case studies. The results have validated that the proposed approach can effectively predict the redundancy rate for a surface machining case before the real toolpaths to be generated. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Prediction of toolpath redundancy for NC machining of free-form surfaces based on automatic recognition of steep-wall features.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jul2015, Vol. 53 Issue 14, p4304-4316. 13p. 6 Diagrams, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Numerical+control+of+machine+tools%22">Numerical control of machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22CAD%2FCAM+systems%22">CAD/CAM systems</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+process+automation%22">Manufacturing process automation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+integrated+manufacturing+systems%22">Computer integrated manufacturing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Machining%22">Machining</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+tools+--+Automatic+control%22">Machine tools -- Automatic control</searchLink>
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  Label: Abstract
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  Data: The degree of toolpath redundancy is a critical concern when looking for an appropriate toolpath strategy for free-form surface machining. Hence, quantitative analysis of toolpath redundancy is important to CAM applications. In this work, a novel approach for prediction of toolpath redundancy for free-form surface machining is proposed. Firstly, a general mathematical model to represent toolpath redundancy rate is proposed based on the analysis of local toolpath intervals and their difference from the optimal values. And then, taking the most widely used iso-planar machining as case study, the steep-wall features that bring in the variation of surface slope rates alone machining strips are identified as the main cause of the generation of toolpath redundancy, so a method to automatic recognising steep-wall features from free-form surface is developed. At last, based on the steep-wall feature segmentation, an algorithm is presented to quantitatively predict the toolpath redundancy rate for free-form surface machining. A comparison study is made between the predicted redundancy rates and the experimental results by a number of case studies. The results have validated that the proposed approach can effectively predict the redundancy rate for a surface machining case before the real toolpaths to be generated. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1080/00207543.2014.997401
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 4304
    Subjects:
      – SubjectFull: Numerical control of machine tools
        Type: general
      – SubjectFull: CAD/CAM systems
        Type: general
      – SubjectFull: Manufacturing process automation
        Type: general
      – SubjectFull: Computer integrated manufacturing systems
        Type: general
      – SubjectFull: Machining
        Type: general
      – SubjectFull: Machine tools -- Automatic control
        Type: general
    Titles:
      – TitleFull: Prediction of toolpath redundancy for NC machining of free-form surfaces based on automatic recognition of steep-wall features.
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            NameFull: Wang, Qing-Hui
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            NameFull: Zhang, Xiao-Ming
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            NameFull: Li, Jing-Rong
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            NameFull: Tang, Chen-Sheng
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            – D: 15
              M: 07
              Text: Jul2015
              Type: published
              Y: 2015
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