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Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems
(Elsevier, 2023)
Artículo / Artikulua,
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 ...
Modeling of the influence of input AM parameters on dimensional error and form errors in PLA parts printed with FFF technology
(MDPI, 2021)
info:eu-repo/semantics/article,
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 ...
Using a fuzzy inference system to obtain technological tables for electrical discharge machining processes
(MDPI, 2020)
info:eu-repo/semantics/article,
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 ...
Optimal machining strategy selection in ball-end milling of hardened steels for injection molds
(MDPI, 2019)
info:eu-repo/semantics/article,
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. ...
On the application of a design of experiments along with an anfis and a desirability function to model response variables
(MDPI, 2021)
info:eu-repo/semantics/article,
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 ...
Analysis of AM parameters on surface roughness obtained in PLA parts printed with FFF technology
(MDPI, 2021)
info:eu-repo/semantics/article,
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 ...
Modeling of surface roughness in honing processes by using fuzzy artificial neural networks
(MDPI, 2023)
Artículo / Artikulua,
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 ...
A study on the EDM drilling of reaction-bonded silicon carbide using different electrode materials
(Springer, 2023)
Artículo / Artikulua,
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 ...
Experimental and FEM analysis of wear behaviour in AA5083 ultrafine-grained cams
(MDPI, 2020)
info:eu-repo/semantics/article,
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 ...
A proposal of an adaptive neuro-fuzzy inference system for modeling experimental data in manufacturing engineering
(MDPI, 2020)
info:eu-repo/semantics/article,
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 ...