Romesh Nagarajah

TL;DR: The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby accurately determining the fluid quantity in the presence of slosh, and it is proved that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment.

TL;DR: The results demonstrate laser ultrasonic testing (LUT) as a promising method for the non-contact inspection of additive manufactured components and the results were validated using X-ray computed tomography and ultrasonic immersion testing.

TL;DR: In this article, the authors investigate key causal linkages of proactive environmental practices of small and medium enterprises (SMEs) and investigate the ways that the interactions between different stakeholders such as suppliers and customers could intensify the widespread diffusion and implementation of green technologies.

TL;DR: In this paper, an artificial neural network was used to derive the three orthogonal components of GRIF by way of a learning algorithm, which was then used to measure ground reaction force and analyze the performance of an athlete.

TL;DR: In this paper, a validated 3D Computational Fluid Dynamics (CFD) model has been used to estimate the state of cold spray titanium particles before deposition, and a holistic approach is adopted to predict particle velocity, temperature and location from the injection point to the moment of impact onto the substrate for a commercially available cold spray system.