Advanced feature detection algorithms for incrementally formed sheet metal parts

Abstract New advanced algorithms for the detection of detailed features in parts formed by single point incremental forming (SPIF) were developed. The features were detected in STL part specifications that took into account the geometry, curvature, location, orientation and process parameters to detect 33 different features within an expert CAPP system for SPIF. The detection process was facilitated by using multi-level edge segmentation routines that first created a frame of edge features. Within this frame, the remaining features were then detected using region growing algorithms. The results show successful detection for a number of test cases. A case study for a double curved hemisphere illustrates the generation of optimal tool paths using compensation for the detected features in the part. These tool paths lead to the improvement in the accuracy of the formed sheet metal parts.

[1]  Jeffrey S. Smith,et al.  Process plan generation for sheet metal parts using an integrated feature-based expert system approach , 1992 .

[2]  O. W. Salomons,et al.  UNIFIED FEATURE DEFINITION FOR FEATURE BASED DESIGN AND FEATURE BASED MANUFACTURING , 2007 .

[3]  Joost Duflou,et al.  Accuracy Improvement in Single Point Incremental Forming through Systematic Study of Feature Interactions , 2011 .

[4]  Vinod Kumar,et al.  An assessment of data formats for layered manufacturing , 1997 .

[5]  R. Geelink,et al.  Unified feature definition for feature based manufacturing , 1995 .

[6]  C. Ou-Yang,et al.  Developing an integrated framework for feature-based early manufacturing cost estimation , 1997 .

[7]  Bert Lauwers,et al.  Multi-axis machining operation evaluation for complex shaped part features , 2004 .

[8]  Joost R. Duflou,et al.  Process window enhancement for single point incremental forming through multi-step toolpaths , 2008 .

[9]  Jun Gu,et al.  Influence of Material Properties on Accuracy Response Surfaces in Single Point Incremental Forming , 2012 .

[10]  JungHyun Han,et al.  Manufacturing feature recognition from solid models: a status report , 2000, IEEE Trans. Robotics Autom..

[11]  Borut Golob,et al.  A feature-based approach towards an integrated product model including conceptual design information , 2000, Comput. Aided Des..

[12]  Bert Lauwers,et al.  Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines , 2013, Comput. Aided Des..

[13]  Joost Duflou,et al.  Multivariate Adaptive Regression Splines as a Tool to Improve the Accuracy of Parts Produced by FSPIF , 2011 .

[14]  Joost Duflou,et al.  An Integrated Approach to Accurate Part Manufacture in Single Point Incremental Forming Using Feature Based Graph Topology , 2012 .

[15]  Bert Lauwers,et al.  Feature Based Approach for Increasing the Accuracy of the SPIF Process , 2007 .

[16]  Tong Mei,et al.  Interface between CAD and Rapid Prototyping systems. Part 1: A study of existing interfaces , 1997 .

[17]  Jami J. Shah.  Assessment of features technology , 1991, Comput. Aided Des..