A review on 3D micro-additive manufacturing technologies

By M. Vaezi, Hermann Seitz, Shoufeng Yang. The International Journal of Advanced Manufacturing Technology, 2012

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Multiple material additive manufacturing – Part 1: a review (2013, methodology): “In this equation, r is the laser spot radius, h(vs, t) is the deposition layer thickness, R0 is the diffusion-limited axial growth rate, vs is the scanning speed, and t is process time (Vaezi et al. 2012).”
Computational second-order homogenization of materials with effective anisotropic strain-gradient behavior (2020, background): “Today, 3D printing techniques have allowed fabricating lattices [16] or bi-materials [50] with controlled microstructures over a wide range of scales and materials, from nano to micro lattices [62] and made of metallic, polymer or ceramics materials, among many others.”
Hyperuniform states of matter (2018, methodology): “The design and fabrication of novel disordered hyperuniform materials can be accelerated by integrating the output of algorithms that are now available to design disordered hyperuniform systems with targeted spectral functions (both point configurations [36–38,41] and two-phase materials [87,124]) w”
Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities (2017, neutral): “, microelectromechanical systems) [3].”
3D printing: an emerging tool for novel microfluidics and lab-on-a-chip applications (2016, neutral): “geometries has been a great challenge in the field of micromechanics and microfabrication (Vaezi et al. 2013).”