Paper
1 March 2006 A neuro-fuzzy approach to failure detection and diagnosis of excimer laser ablation in microvia formation
Ronald Setia, Gary S. May
Author Affiliations +
Abstract
Excimer laser ablation is used for microvia formation in the microelectronics packaging industry. With continuing advancement of laser systems, there is an increasing need to offset capital equipment investment and lower equipment downtime. This paper presents a neuro-fuzzy methodology for in-line failure detection and diagnosis of the excimer laser ablation process. Response data originating directly from laser tool sensors and the characterization of microvias were used as failure symptoms for potential deviations in four laser system parameters from their corresponding baseline values. The response characteristics consist of via diameter, via wall angle, and via resistance. Resistance measurements on copper deposited in the ablated vias were performed to characterize the degree to which debris remaining inside the vias affected quality. The laser system parameters include laser fluence, shot frequency, number of pulses, and helium pressure flow. The adaptive neuro-fuzzy inference system (ANFIS) was trained and subsequently validated for its capability in evidential reasoning using the data collected. Results indicated only a single false alarm occurred in 19 possible failure detection scenarios. In failure diagnosis, a single false alarm and a single missed alarm occurred.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald Setia and Gary S. May "A neuro-fuzzy approach to failure detection and diagnosis of excimer laser ablation in microvia formation", Proc. SPIE 6106, Photon Processing in Microelectronics and Photonics V, 610607 (1 March 2006); https://doi.org/10.1117/12.655296
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Cited by 1 scholarly publication.
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KEYWORDS
Excimer lasers

Laser ablation

Helium

Resistance

Fuzzy logic

Laser systems engineering

Copper

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