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Correcting distortions of thin-walled machined parts by machine hammer peening
(Elsevier, 2023)
Thin-walled aerostructural components frequently get distorted after the machining process. Reworking to correct distortions or eventually rejecting parts significantly increases the cost. This paper proposes a new approach ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Feeder mapping and load flow algorithms for LV distribution grids
(IEEE, 2021)
With the advent of the electric vehicle, distributed generation and other emerging technologies such as heat pumps, the complexity and uncertainty of LV Distribution Networks (LVDNs) is increasing. Advanced Metering ...
Experimental verification of the AC resistance effect in Insulated Metal Substrate based Power Converters
(IEEE, 2023)
Insulated Metal Substrate (IMS) based power converters are an excellent solution for thermal dissipation of power converters, but they suffer for limited layer options generating parasitic elements specially in High ...
A High Frequency Magnetic Test Bench with Fast Isothermal Measurements for Large Cores
(IEEE, 2023)
This paper presents a magnetic core test-bench that has been developed for high-frequency measurements. The bench is able to perform tests at 1 MHz, 300 V and in a range of 20 °C to 150 °C. It exhibits precise temperature ...
Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining - Application to Arbitrary Lagrangian Eulerian Orthogonal Cutting of Ti6Al4V
(ASME, 2024)
The evolution of high-performance computing facilitates the simulation of manufacturing processes. The prediction accuracy of a numerical model of the cutting process is closely associated with the selection of constitutive ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor
(IEEE, 2020)
Switched Reluctance Machines (SRM) are considered promising rare-earth free candidates for the next generation electrified vehicles. One of the main drawback of this technology is the need of a large DC-link capacitor to ...
Mondragon ZTIM-HUB: the collaborative network for the development of stem vocations
(2022)
It is well known that STEM (Science, Technology, Engineering & Mathematics) is one of the most heard concepts both in the field of education and in the business sphere, when talking about the socio-economic needs of the ...
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
(IEEE, 2023)
This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ...