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Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines

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Title: Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines
Authors: Behera, Amar Kumar amarkumar.behera@cib.kuleuven.be, Verbert, Johan johan.verbert@gmail.com, Lauwers, Bert bert.lauwers@mech.kuleuven.be, Duflou, Joost R. joost.duflou@mech.kuleuven.be
Source: Computer-Aided Design. Mar2013, Vol. 45 Issue 3, p575-590. 16p.
Subjects: Machine tool path, Strategic planning, Multivariate analysis, Regression analysis, Splines, Sheet metal, Prototypes, Error analysis in mathematics
Abstract: Abstract: Single point incremental sheet forming is an emerging sheet metal prototyping process that can produce parts without requiring dedicated tooling per part geometry. One of the major issues with the process concerns the achievable accuracy of parts, which depends on the type of features present in the part and their interactions with one another. In this study, the authors propose a solution to improve the accuracy by using Multivariate Adaptive Regression Splines (MARS) as an error prediction tool to generate continuous error response surfaces for individual features and feature combinations. Two feature types, viz.: planar and ruled, and two feature interactions, viz.: combinations of planar features and combinations of ruled features are studied in detail, with parameters and algorithms to generate response surfaces presented. Validation studies on the generated response surfaces show average deviations of less than 0.3 mm. The predicted response surfaces are then used to generate compensated tool paths by systematically translating the individual vertices in a triangulated surface model of the part available in STL file format orthogonal to the surface of the CAD model, and using the translated model to generate the optimized tool paths. These tool paths bring down the accuracy for most test cases to less than 0.4 mm of average absolute deviations. By further combining the MARS compensated surfaces with a rib offset strategy, the accuracy of planar features is improved significantly with average absolute deviations of less than 0.25 mm. [Copyright &y& Elsevier]
Copyright of Computer-Aided Design is the property of Elsevier B.V. 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 85584416
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PubType: Academic Journal
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  Data: Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines
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  Data: <searchLink fieldCode="AR" term="%22Behera%2C+Amar+Kumar%22">Behera, Amar Kumar</searchLink><i> amarkumar.behera@cib.kuleuven.be</i><br /><searchLink fieldCode="AR" term="%22Verbert%2C+Johan%22">Verbert, Johan</searchLink><i> johan.verbert@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Lauwers%2C+Bert%22">Lauwers, Bert</searchLink><i> bert.lauwers@mech.kuleuven.be</i><br /><searchLink fieldCode="AR" term="%22Duflou%2C+Joost+R%2E%22">Duflou, Joost R.</searchLink><i> joost.duflou@mech.kuleuven.be</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Design%22">Computer-Aided Design</searchLink>. Mar2013, Vol. 45 Issue 3, p575-590. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Machine+tool+path%22">Machine tool path</searchLink><br /><searchLink fieldCode="DE" term="%22Strategic+planning%22">Strategic planning</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Splines%22">Splines</searchLink><br /><searchLink fieldCode="DE" term="%22Sheet+metal%22">Sheet metal</searchLink><br /><searchLink fieldCode="DE" term="%22Prototypes%22">Prototypes</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink>
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  Data: Abstract: Single point incremental sheet forming is an emerging sheet metal prototyping process that can produce parts without requiring dedicated tooling per part geometry. One of the major issues with the process concerns the achievable accuracy of parts, which depends on the type of features present in the part and their interactions with one another. In this study, the authors propose a solution to improve the accuracy by using Multivariate Adaptive Regression Splines (MARS) as an error prediction tool to generate continuous error response surfaces for individual features and feature combinations. Two feature types, viz.: planar and ruled, and two feature interactions, viz.: combinations of planar features and combinations of ruled features are studied in detail, with parameters and algorithms to generate response surfaces presented. Validation studies on the generated response surfaces show average deviations of less than 0.3 mm. The predicted response surfaces are then used to generate compensated tool paths by systematically translating the individual vertices in a triangulated surface model of the part available in STL file format orthogonal to the surface of the CAD model, and using the translated model to generate the optimized tool paths. These tool paths bring down the accuracy for most test cases to less than 0.4 mm of average absolute deviations. By further combining the MARS compensated surfaces with a rib offset strategy, the accuracy of planar features is improved significantly with average absolute deviations of less than 0.25 mm. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Computer-Aided Design is the property of Elsevier B.V. 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: 10.1016/j.cad.2012.10.045
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 575
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      – SubjectFull: Machine tool path
        Type: general
      – SubjectFull: Strategic planning
        Type: general
      – SubjectFull: Multivariate analysis
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      – SubjectFull: Regression analysis
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      – SubjectFull: Splines
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      – SubjectFull: Sheet metal
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      – SubjectFull: Prototypes
        Type: general
      – SubjectFull: Error analysis in mathematics
        Type: general
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      – TitleFull: Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines
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            NameFull: Behera, Amar Kumar
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            NameFull: Verbert, Johan
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            NameFull: Lauwers, Bert
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            NameFull: Duflou, Joost R.
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              M: 03
              Text: Mar2013
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              Y: 2013
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