Abstract
Laser micromachining is widely used in generating micro-features in critical components required for biomedical and industrial applications such as dental implants, hip prostheses, knee prostheses, stents, and clinical laboratory components. The feature quality depends on the appropriate selection of laser process parameters, such as pulse duration, pulse repetition rate, and pulse power density. To establish laser micromachining in industries, systematic investigations using finite element models and experimental methods are required. Numerical modeling can be a valuable tool for reducing experimental time, experimental cost, and resources when predicting optimized parameters for an experiment. In this work an extensive and systematic two-dimensional transient thermo-physical analysis has been carried out to compute the feature size and predict the surface quality. The work material was taken as Titanium alloy (Ti–6Al–4V), widely used in biomedical and aerospace applications. The model considers more realistic assumptions such as moving Gaussian heat source, temperature-dependent materials properties, and the combined effect of convection and radiation.
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Singh, B.K., Kapil, S., Joshi, S.N. (2023). Numerical Modeling and Simulation of Micromachining of Biomedical Materials Using Nd: YAG Millisecond Pulse Laser. In: Joshi, S.N., Dixit, U.S., Mittal, R.K., Bag, S. (eds) Low Cost Manufacturing Technologies. NERC 2022. Springer, Singapore. https://doi.org/10.1007/978-981-19-8452-5_13
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DOI: https://doi.org/10.1007/978-981-19-8452-5_13
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