Listar Artículos de revista DING - INGS Aldizkari artikuluak por autor UPNA "Luis Pérez, Carmelo"
Mostrando ítems 1-13 de 13
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Analysis of AM parameters on surface roughness obtained in PLA parts printed with FFF technology
Fused filament fabrication (FFF) 3D printing technology allows very complex parts to be obtained at a relatively low cost and in reduced manufacturing times. In the present work, the effect of main 3D printing parameters ... -
Analysis of tribological properties in disks of AA-5754 and AA-5083 aluminium alloys previously processed by equal channel angular pressing and isothermally forged
In the present study, the wear behaviour of two aluminium alloys (AA‐5754 and AA‐5083) is analysed where these have been previously processed by severe plastic deformation (SPD) with equal channel angular pressing (ECAP). ... -
Experimental and FEM analysis of wear behaviour in AA5083 ultrafine-grained cams
Severe plastic deformation (SPD) processes have attracted a great deal of both scientific and technological interest over the last few years as a consequence of the improvements that are possible to obtain in the microstructure ... -
Modeling of surface roughness in honing processes by using fuzzy artificial neural networks
Honing processes are abrasive machining processes which are commonly employed to improve the surface of manufactured parts such as hydraulic or combustion engine cylinders. These processes can be employed to obtain a ... -
Modeling of the influence of input AM parameters on dimensional error and form errors in PLA parts printed with FFF technology
As is widely known, additive manufacturing (AM) allows very complex parts to be manufactured with porous structures at a relatively low cost and in relatively low manufacturing times. However, it is necessary to determine ... -
Multi-objective optimization of electrical discharge machining parameters using particle swarm optimization
This manuscript presents an efficient multi-objective optimization method based on using particle swarm optimization together with a desirability function that can be applied where the response variables may have an opposite ... -
Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems
Honing processes are usually employed to manufacture combustion engine cylinders and hydraulic cylinders. Honing provides a crosshatch pattern that favors the oil flow. In this paper, Adaptive Neural Fuzzy Inference System ... -
On the application of a design of experiments along with an anfis and a desirability function to model response variables
In manufacturing engineering, it is common to use both symmetrical and asymmetrical factorial designs along with regression techniques to model technological response variables, since the in-advance prediction of their ... -
Optimal machining strategy selection in ball-end milling of hardened steels for injection molds
In the present study, the groups of cutting conditions that minimize surface roughness and its variability are determined, in ball-end milling operations. Design of experiments is used to define experimental tests performed. ... -
A proposal of an adaptive neuro-fuzzy inference system for modeling experimental data in manufacturing engineering
In Manufacturing Engineering there is a need to be able to model the behavior of technological variables versus input parameters in order to predict their behavior in advance, so that it is possible to determine the levels ... -
Study of the industrial application of diamond-like carbon coatings deposited on advanced tool steels
The utilization of diamond-like carbon (DLC) coatings has emerged as a promising strategy to enhance the performance, durability, and functionality of industrial tools and components. Recognized for their exceptional ... -
A study on the EDM drilling of reaction-bonded silicon carbide using different electrode materials
Today, there is a growing demand for efficient hole manufacturing technology in many industries such as aeronautics, automotive and nuclear, among others. Thus, the present study deals with the machining of through holes ... -
Using a fuzzy inference system to obtain technological tables for electrical discharge machining processes
Technological tables are very important in electrical discharge machining to determine optimal operating conditions for process variables, such as material removal rate or electrode wear. Their determination is of great ...