Automotive industry interest in aluminum is growing rapidly in Europe
and North America. Resistance spot welding and weldbonding will be key
techniques in the volume production of aluminum vehicles. A monitorin
g system has been developed to collect process data during single-phas
e alternating current (AC) and medium-frequency direct current (MFDC)
inverter resistance welding. Features extracted from the captured data
are used to characterize spot welding and to identify a range of proc
ess phenomena. Statistical analysis has been applied to investigate th
e relationship between the extracted features and the conventional phy
sical parameters, e.g., weld size and static tensile strength. Welding
trials using both MFDC and AC welding equipment have been carried out
using aluminum of different gauges and surface conditions. Results on
the Al-Mg alloy AA-5754 have shown that the monitoring methods develo
ped previously for steel do not appear to be generally applicable to a
luminum. No single parameter can accurately quantify weld quality. Mul
tiple regression methods can, however, provide good prediction of nugg
et diameter and static strength. This has proved effective even when o
nly electrical variables are logged, removing the need for measurement
of other process signals, e.g., electrode displacement or force.