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Ablation Efficiency of Metals and Semiconductors in Single Nanosecond Pulse and Femtosecond Gigahertz Burst Regimes

The interaction of ultrashort laser pulses with materials is the subject of much modern research due to their ability to reach terawatt peak powers. Novel methods for temporally structuring femtosecond pulses have led to a new regime of burst mode ablation. The combination of burst mode operation with laser filamentation has been used to generate stitched filaments which form long-lasting plasma channels and can lead to increased laser ablation upon material interaction. In this work, laser ablation theory is discussed and compares the ablation effects of single, smoothly varying nanosecond pulses to a nanosecond envelope containing a GHz burst of femtosecond pulses. To directly compare the ablation efficiency by bursts of femtosecond pulses, a high-power nanosecond laser is used to ablate silicon and aluminum samples with energies comparable to the envelope energies of a burst of 32 hundred-femtosecond pulses each separated by 400 ps, as well as a bursts of 16 pulses separated by 400 or 800 ps. This experiment showed clear superiority of femtosecond burst mode over traditional nanosecond pulses at ablation at high fluences, with efficiencies forty times higher in aluminum and fourteen times higher in silicon. For the first time ever, burst mode operation was outfitted on a filamentation laser for outdoor propagation, and ablation measurements were measured after 250 meters of propagation. Single femtosecond pulses were compared to bursts of 8 pulses separated by 400 ps, and ablation craters were found only for burst modes at the highest energy during periods of low turbulence. The lack of ablation under other conditions suggests that turbulence plays a pivotal role in burst mode ablation efficacy during outdoor propagation and gives cause for further experiments at a distance.

Identiferoai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-2678
Date01 January 2023
CreatorsThome, Owen
PublisherSTARS
Source SetsUniversity of Central Florida
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceElectronic Theses and Dissertations, 2020-

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