Listar Artículos de revista DING - INGS Aldizkari artikuluak por tema "Modeling"
Mostrando ítems 1-12 de 12
-
Advances in robotic welding for metallic materials: application of inspection, modeling, monitoring and automation techniques
The robotic welding manufacturing of metal parts is a very important process, especially in heavy industries such as shipbuilding, oil and gas, automotive, and aerospace. There is a great variety of different techniques ... -
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 ... -
Development of a machining strategy to manufacture SiSiC nuts by EDM
Today, the high-precision manufacturing of small cavities in difficult-to-machine materials is still a challenge, even more so if they need to be threaded. The machining time, the wear suffered by the electrodes and the ... -
Introducing QAnnAGNPS - A QGIS plugin to facilitate the use of AnnAGNPS (Annualized Agricultural Nonpoint source model)
(Elsevier, 2024) Artículo / ArtikuluaAnnAGNPS is a watershed-scale hydrological model designed to analyze the impact of nonpoint source pollution in agricultural environments. Its unique capabilities have defined it as an essential model that is used globally ... -
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 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 ... -
Ultraviolet erythemal irradiance (UVER) under different sky conditions in Burgos, Spain: multilinear regression and artificial neural network models
Different strategies for modeling Global Horizontal UltraViolet Erythemal irradiance (GHUVE) based on meteorological parameters measured in Burgos (Spain) have been developed. The experimental campaign ran from September ... -
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 ...