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Femtosecond laser machining for characterization of local mechanical properties of biomaterials: a case study on wood.
Jakob, Severin; Pfeifenberger, Manuel J; Hohenwarter, Anton; Pippan, Reinhard.
Afiliação
  • Jakob S; Erich Schmid Institute of Materials Science, Austrian Academy of Sciences, Leoben, Austria.
  • Pfeifenberger MJ; Department of Physical Metallurgy and Materials Testing, Montanuniversitaet Leoben, Leoben, Austria.
  • Hohenwarter A; Erich Schmid Institute of Materials Science, Austrian Academy of Sciences, Leoben, Austria.
  • Pippan R; Department of Materials Physics, Montanuniversitaet Leoben, Leoben, Austria.
Sci Technol Adv Mater ; 18(1): 574-583, 2017.
Article em En | MEDLINE | ID: mdl-28970867
The standard preparation technique for micro-sized samples is focused ion beam milling, most frequently using Ga+ ions. The main drawbacks are the required processing time and the possibility and risks of ion implantation. In contrast, ultrashort pulsed laser ablation can process any type of material with ideally negligible damage to the surrounding volume and provides 4 to 6 orders of magnitude higher ablation rates than the ion beam technique. In this work, a femtosecond laser was used to prepare wood samples from spruce for mechanical testing at the micrometre level. After optimization of the different laser parameters, tensile and compressive specimens were produced from microtomed radial-tangential and longitudinal-tangential sections. Additionally, laser-processed samples were exposed to an electron beam prior to testing to study possible beam damage. The specimens originating from these different preparation conditions were mechanically tested. Advantages and limitations of the femtosecond laser preparation technique and the deformation and fracture behaviour of the samples are discussed. The results prove that femtosecond laser processing is a fast and precise preparation technique, which enables the fabrication of pristine biological samples with dimensions at the microscale.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article