A new design method based on feature reusing of the non-standard cam structure for automotive panels stamping dies

Gui Li (), Xiaoyu Long and Min Zhou
Additional contact information
Gui Li: Wuhan University of Science and Technology
Xiaoyu Long: Wuhan University of Science and Technology
Min Zhou: Wuhan University of Science and Technology

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 5, No 3, 2085-2100

Abstract: Abstract The cam die is one of the most complicated types of automotive panel stamping dies. It is hard to achieve parametric and automated design of the non-standard cam, which determines the quality and cost of die design. The cam design process is extremely complex and requires a great deal of professional knowledge. A new design system for non-standard cams based on the feature reuse and group assembly technology was researched and developed in this paper for automotive panel dies. Taking the advantage of the well-organized historical knowledge base and features database of non-standard cam design cases and the seamless integration with the NX platform, the system was able to generate designs of the die substructure with cam in the form of assembly, including the driver, slider, stripper, cam base, and types of standard components such as nitrogen cylinders, guide plates, stopper seats, return hooks, safety pulling plates, and other parts. Finally, an engineering example of a cam trimming die for body side outer panel verified the feasibility and validity of this system. Comparisons with different design methods demonstrate that the newly developed system shows excellent performance in the design of complex non-standard cams for automotive panels.

Keywords: Non-standard cams; Feature reusing; Stamping dies; Substructure; Group assembly; NX (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10845-017-1368-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joinma:v:30:y:2019:i:5:d:10.1007_s10845-017-1368-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-017-1368-5

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().