Currently the aluminum alloy resistance spot welding (AA-RSW) has been extensively used for light
weight automotive body-in-white manufacturing. However the aluminum alloys such as AA5182 have inferior
weldability for forming the joint due to their high reflectiveness to heat and light. Therefore it is necessary to
further develop the high performance control strategy and the set-up of a new welding schedule. The welding
process identification is the essential issue where the difficulty arises from the fact that the AA-RSWis a nonlinear
time-varying uncertain process which couples the thermal, electrical, mechanical and metallurgical dynamics. To
understand this complicated physical phenomenon a novel dual-phase M-series pseudo-random electrical pattern
is adopted to excite the AA-RSW electrical-thermal process and the thermal response is recorded according to the
welding power outputs. Based on the experimental information, the transfer function of an AA-RSW electricalthermal
mechanism is identified, and the optimum model order and parameters are determined. Subsequently a
control-oriented DC AA-RSWmodel is established to explore the welding power control algorithm. The simulated
results of the control model show agreement with the experimental data, which validates its feasibility for the
corresponding welding control.
GONG Liang1* (贡亮), XI Yan2 (席艳), Ma Zhe-ren1 (马喆人), LIU Cheng-liang1 (刘成良)
. Modeling, Identification and Simulation of DC Resistance Spot Welding Process for Aluminum Alloy 5182[J]. Journal of Shanghai Jiaotong University(Science), 2013
, 18(1)
: 101
-104
.
DOI: 10.1007/s12204-013-1371-8
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