Improving Resistance Spot Weld Quality Through Statistical Experiments and Digital Process Control

State-of-the-art Resistance Spot Welding (RSW) equipment has the potential to permit adaptive feedback through recent advances in computerized process control. The initial step toward achieving this goal involves assessment of the effect of specific variables and the interaction between these process inputs on spot weld characteristics. This investigation addresses this issue through the application of Taguchi methodology to understand and refine a RSW schedule developed for joining of two dissimilar aluminum-lithium (AI-Li) alloys of different nominal thickness. The experiment was designed to establish a hierarchy of inputs with respect to each 'other, and to determine the significance of these inputs with respect to experimental noise. Valuable insight was gained regarding the interaction between process variables and the effect of certain equipment-related changes. In spite of a decrease in equipment performance, an improvement in the maximum strength attainable for defect-free spot welds resulted from the application of the statistical experiment.