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A STEP-NC complaint and feature-based solution for intelligent process planning.

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Title: A STEP-NC complaint and feature-based solution for intelligent process planning.
Authors: Cheng, Kang1 (AUTHOR) kangcheng@buaa.edu.cn, Zhao, Gang2 (AUTHOR), Wang, Wei2 (AUTHOR), Liu, Yazui2 (AUTHOR), Hu, Deyu3 (AUTHOR)
Source: International Journal of Advanced Manufacturing Technology. Aug2024, Vol. 133 Issue 11/12, p6023-6039. 17p.
Subjects: Computer-aided process planning, Numerical control of machine tools, Reference values, Machine design, Planning techniques, Production planning
Abstract: Computer-aided process planning, as the link between designing and machining, is expected to move towards being of more automation and intelligence with the current trend of intelligent manufacturing. Hence, a solution with STEP-NC and feature-based technology for intelligent process planning is proposed based on the analysis of the mainstream enabling technologies in process planning, making full use of the data advantage of the STEP-NC standard and integrating process planning unit module from the content. More automated operations will be implemented through taking machining features as planning units and developing integrated built-in models as well as algorithms to aid decision-making. The solution is implemented by developing a process planning prototype system, wherein key implementation techniques and model-based planning algorithms are introduced. To verify the feasibility of the solution, two test parts of the industrial application level are applied to the prototype system. The application results show that the solution has promising application prospects and reference value for improving the automation and intelligence of the whole planning process. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature 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: A STEP-NC complaint and feature-based solution for intelligent process planning.
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  Data: <searchLink fieldCode="DE" term="%22Computer-aided+process+planning%22">Computer-aided process planning</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+control+of+machine+tools%22">Numerical control of machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22Reference+values%22">Reference values</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+design%22">Machine design</searchLink><br /><searchLink fieldCode="DE" term="%22Planning+techniques%22">Planning techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Production+planning%22">Production planning</searchLink>
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  Data: Computer-aided process planning, as the link between designing and machining, is expected to move towards being of more automation and intelligence with the current trend of intelligent manufacturing. Hence, a solution with STEP-NC and feature-based technology for intelligent process planning is proposed based on the analysis of the mainstream enabling technologies in process planning, making full use of the data advantage of the STEP-NC standard and integrating process planning unit module from the content. More automated operations will be implemented through taking machining features as planning units and developing integrated built-in models as well as algorithms to aid decision-making. The solution is implemented by developing a process planning prototype system, wherein key implementation techniques and model-based planning algorithms are introduced. To verify the feasibility of the solution, two test parts of the industrial application level are applied to the prototype system. The application results show that the solution has promising application prospects and reference value for improving the automation and intelligence of the whole planning process. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature 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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        Value: 10.1007/s00170-024-14064-y
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      – Code: eng
        Text: English
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      – SubjectFull: Numerical control of machine tools
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      – SubjectFull: Reference values
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      – SubjectFull: Machine design
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      – SubjectFull: Planning techniques
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            NameFull: Cheng, Kang
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            NameFull: Wang, Wei
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              Text: Aug2024
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              Y: 2024
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