TY - JOUR
T1 - A comprehensive prediction model of bead geometry in wire and arc additive manufacturing
AU - Wang, Changxing
AU - Bai, Hao
AU - Ren, Chuanqi
AU - Fang, Xuewei
AU - Lu, Bingheng
N1 - Publisher Copyright:
© 2020 Institute of Physics Publishing. All rights reserved.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - 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.
AB - 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.
KW - Additive manufacturing
KW - Aluminium alloy
KW - Bead size prediction
KW - CMT-WAAM
KW - Response surface optimization
UR - https://www.scopus.com/pages/publications/85096416090
U2 - 10.1088/1742-6596/1624/2/022018
DO - 10.1088/1742-6596/1624/2/022018
M3 - 会议文章
AN - SCOPUS:85096416090
SN - 1742-6588
VL - 1624
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 2
M1 - 022018
T2 - 2020 2nd International Conference on Computer Modeling, Simulation and Algorithm, CMSA 2020
Y2 - 21 June 2020 through 22 June 2020
ER -