Nowadays, hydropower plays an essential role in the energy market. Due to their fast response and regulation capacity, hydraulic turbines operate at off-design conditions with a high number of starts and stops. In this situation, dynamic loads and stresses over the structure are high, registering some failures over time, especially in the runner. Therefore, it is important to know the dynamic r...

This paper describes the fabrication of free-standing high-carbon microstructures by softlithographic techniques; these structures ranged in complexity from simple beams to complex, suspended deflectors. Microstructures of polymeric precursors (copolymers of furfuryl alcohol-phenol) to high-carbon solids were fabricated using poly(dimethylsiloxane) (PDMS) molds. Carbonization of these microstru...

It is of interest to incorporate quantitative characterization of actual three-dimensional microstructures in micromechanical analysis of composites due to the dominant influence of microstructural features on the material behavior. In this paper, a methodology has been developed to perform finite element-based simulations on complex three-dimensional microstructures, through its application to...

Multiphase flows in microchannels are encountered in a variety of microfluidic applications. Two-phase microchannel heat sinks leverage the latent heat of vaporization to offer an efficient method of dissipating large heat fluxes in a compact device. In microscale methanol-based fuel cells, the chemical reactions produce a twophase flow of methanol solution and carbon dioxide gas. Differences i...

Tensile, fatigue and fractographic data on Ti-6AI-4V microstructures attained through a series of post-L3-annealing treatments which used hydrogen as a temporary alloying element are presented. Hydrogen-alloying treatments break up the continuous grain boundary 0c and colony structure, and produce a homogeneous microstructure consisting of refined s-grains in a matrix of discontinuous 13. These...

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A data-driven model reduction strategy is presented for the representation of random polycrystal microstructures. Given a set of microstructure snapshots that satisfy certain statistical constraints such as given low-order moments of the grain size distribution, using a non-linear manifold learning approach, we identify the intrinsic low-dimensionality of the microstructure manifold. In additio...

Reported here is the bio-inspired and robust function of underwater superoleophobic, anti-oil metallic surfaces with ultra-broadband enhanced optical absorption obtained through femtosecond laser micromachining. Three distinct surface structures are fabricated using a wide variety of processing parameters. Underwater superoleophobic and anti-oil surfaces containing coral-like microstructures wi...

Nowadays, there are lack of definitive international standards, surface parameters and techniques for the characterisation of the surface generation of optical microstructures with the articulation to their quality specifications in practical applications. This paper presents a study of factors affecting the surface generation in FTS machining of optical microstructures. The surface quality and...

This paper describes an automatic system for segmentation and quantification of the microstructures of white cast iron. Mathematical morphology algorithms are used to segment the microstructures in the input images, which are later identified and quantified by an artificial neuronal network. A new computational system was developed because ordinary software could not segment the microstructures...