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A comprehensive prediction model of bead geometry in wire and arc additive manufacturing

  • Changxing Wang
  • , Hao Bai
  • , Chuanqi Ren
  • , Xuewei Fang
  • , Bingheng Lu
  • Xi'an Jiaotong University
  • National Innovation Institute of Additive Manufacturing

Research output: Contribution to journalConference articlepeer-review

22 Scopus citations

Abstract

To explore the effect of process parameters on the bead geometry in cold metal transfer wire arc additive manufacturing(CMT-WAAW), the response surface optimization method was adopted in this paper. According to previous experiments, some process parameters were selected as independent variables. They are wire feed speed(WFS), traveling speed(TS) and substrate temperature(ST). Some geometric parameters of the welding bead were selected as dependent variables. They are the track width (w), layer height (h), penetration (p), accumulated area (A2), penetration area (A1), aspect ratio (B) and dilution ratio (D). In the given parameter interval, the prediction model behaves good. The relative error of bead size between actual value and predicted value are all within 5%. And five sets of verification experiment were carried out to prove that the accuracy of the developed model.

Original languageEnglish
Article number022018
JournalJournal of Physics: Conference Series
Volume1624
Issue number2
DOIs
StatePublished - 6 Nov 2020
Event2020 2nd International Conference on Computer Modeling, Simulation and Algorithm, CMSA 2020 - Beijing, China
Duration: 21 Jun 202022 Jun 2020

Keywords

  • Additive manufacturing
  • Aluminium alloy
  • Bead size prediction
  • CMT-WAAM
  • Response surface optimization

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