Influence of material properties on accuracy response surfaces in single point incremental forming

Amar Kumar Behera*, Jun Gu, Bert Lauwers, Joost R. Duflou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

The ability to manufacture accurate parts in single point incremental forming is dependent on the capability to properly predict accuracy response surfaces of individual features and feature interaction combinations formed using uncompensated tool paths. Recent studies show that the accuracy profiles obtained are dependent on the choice of material used for forming, in terms of magnitude, geometric shape and nature of errors (under forming and over forming). In this paper, an attempt is made to capture the effect of material properties on the accuracy response surfaces. The response surfaces are modeled using Multivariate Adaptive Regression Splines (MARS), which is a non-parametric multivariate regression technique that helps generating continuous response surfaces. The MARS functions are based on process and feature specific geometric parameters. A set of features and feature interactions for which the response surface dependence on material properties is well predicted is used to illustrate the applicability of the MARS method for predicting the accuracy. An in-process stereo camera system is used to measure the displacement fields for different materials using digital image correlation (DIC) and understand the material dislocation mechanism. Improvements in accuracy for different sheet metal materials based on the predicted response surfaces are then discussed.

Original languageEnglish
Title of host publicationMaterial Forming ESAFORM 2012
Pages919-924
Number of pages6
Volume504-506
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event15th Conference of the European Scientific Association on Material Forming, ESAFORM 2012 - Erlangen, Germany
Duration: 14 Mar 201216 Mar 2012

Publication series

NameKey Engineering Materials
Volume504-506
ISSN (Print)1013-9826

Conference

Conference15th Conference of the European Scientific Association on Material Forming, ESAFORM 2012
CountryGermany
CityErlangen
Period14/03/201216/03/2012

Keywords

  • Accuracy
  • Digital image correlation
  • Incremental forming
  • Material properties
  • Multivariate adaptive regression splines

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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