Predicting lifetime of thick Al wire bonds using signals obtained from ultrasonic generatorTools Arjmand, Elahjeh, Agyakwa, Pearl, Corfield, Martin, Li, Jianfeng and Johnson, Christopher Mark (2016) Predicting lifetime of thick Al wire bonds using signals obtained from ultrasonic generator. IEEE Transactions on Components, Packaging and Manufacturing Technology, 6 (5). pp. 814-821. ISSN 2156-3985 Full text not available from this repository.AbstractRoutine monitoring of the wire bonding process requires real-time evaluation and control of wire bond quality. In this paper, we present a nondestructive technique for detecting bond quality by the application of a semisupervised classification algorithm to process the signals obtained from an ultrasonic generator. Experimental tests verified that the classification method is capable of accurately predicting bond quality, indicated by bonded area measured by X-ray tomography. Samples classified during bonding were subjected to temperature cycling between -55 °C and +125 °C, and the distribution of bond life amongst the different classes was analyzed. It is demonstrated that the as-bonded quality classification is closely correlated with thermal cycling life and can, therefore, be used as a nondestructive tool for monitoring bond quality and predicting useful service life.
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