14.d Contributo in Atti di Convegno

14.d Contributo in Atti di Convegno: [30173] Home page macrotipologia

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14.d.1 Abstract in Atti di convegno 21775
14.d.3 Contributi in extenso in Atti di convegno 7834
14.d.4 Poster 564

Prodotti recenti

Immature platelet fraction and the extent of coronary artery disease: a single centre study

A Topology Optimization of a Motorsport Safety Device

The work proposes a method of Topological Optimization of 3D surfaces using an algorithm that works by considering the distribution and intensity of stress on the studied component. Rather than acting on the mesh, this algorithm modifies directly the CAD, allowing its direct use avoiding any subsequent intervention. The algorithm has been developed using Rhino – Grasshopper. The FEM analyses have been performed using the Nastran solver within the Siemens NX environment. With this method the o...

Enabling Secure RESTful Web Services in IoT using OpenStack

Thanks to the impact of the advancement in the hardware field, the network size and usage scope of the Internet are continuously growing. Indeed, new smart devices, e.g., sensors, actuators, home appliances are becoming strong enough to communicate and exchange data over the Internet. Accordingly, this distributed ecosystem with sensing/actuation capabilities is introducing new market opportunities with innovative services including, e.g., environmental monitoring, traffic monitoring, homes/b...

Micro H-Darrieus wind turbines: CFD modeling and experimental validation

The scientific interest toward micro wind turbine power generation is growing thanks to the fact that these systems appear to be very suitable for small stand-alone devices such as controllers, actuators, sensors, small lightning systems which cannot be easily powered through electricity grids. Furthermore, micro wind turbines are widely used for wind tunnel testing as the wind tunnel dimensions are usually quite limited. The present paper deals with the CFD modeling of a micro H-Darrieus win...

A Data-Driven Prognostics Technique and RUL Prediction of Rotating Machines Using an Exponential Degradation Model

Accurate Remaining Useful Life (RUL) prediction of machines is important for condition-based maintenance, in order to improve the reliability and costs of maintenance. The rotor is one of the most important equipment parts and is one of the most common failure points. To assess the degradation life of rotating machines, this paper proposes a data-driven prognostic technique that utilizes an unsupervised trend extraction and an exponential degradation model to obtain an accurate RUL prediction...

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