Person: Luis Pérez, Carmelo Javier
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Luis Pérez
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Carmelo Javier
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INAMAT2 - Institute for Advanced Materials and Mathematics
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Publication Open Access Simulación y procesado de aleaciones de aluminio mediante estirado en canal angular constante (ECAD)(CENIM, 2002) Luis Pérez, Carmelo Javier; Garcés Inuñez, Y.; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaEn este trabajo se estudia el proceso denominado ECAD (Equal Channel Angular Drawing) que consiste en hacer atravesar un material a través de una matriz de sección transversal constante, que presenta un ángulo comprendido, generalmente, entre 90º y 135º. Para ello, se han procesado tres aleaciones de aluminio: 1370, 6101 y la aleación 6061 mediante las rutas A, B y C. En ellas se observa la evolución de la microestructura según el número de pasadas realizadas (N) y según el tratamiento térmico. Además, la microscopía óptica y SEM muestran la reducción en el tamaño de grano de las aleaciones procesadas respecto a la aleación de partida. Asimismo, se realiza simulación del proceso por elementos finitos, con ángulos de 90º y de 120º, en condiciones de baja fricción (µ = 0,01) y de alta fricción (µ = 0,4) para determinar las condiciones de fricción conducentes a valores mayores de deformación y a una mayor homogeneidad. Los resultados obtenidos al procesar la aleación 1370 indican que es posible conseguir tamaños de grano de 7 µm con la primera pasada de ECAD, mediante la Ruta C. Ello indica que el procesado de aleaciones mediante ECAD puede obtener aplicabilidad industrial si durante el mismo se realiza una pasada final a través de una hilera de calibrado con la finalidad de obtener una sección transversal constante en las aleaciones procesadas.Publication Open Access Spacing roughness parameters analysis on the EDM of TiB2(Elsevier, 2017) Torres Salcedo, Alexia; Luis Pérez, Carmelo Javier; Puertas Arbizu, Ignacio; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaTitanium diboride (TiB2) is a novel sintered ceramic material which has attracted a great deal of interest because of its excellent mechanical properties, wear resistance and chemical resistance. At present, this ceramic is used in specialized applications in such areas as impact resistant armor, cutting tools, crucibles and wear resistant coatings. In this present research work, effects of current intensity, pulse time and duty cycle on the spacing roughness parameters Sm and Pc have been studied. In addition, statistical tools based on the design of experiments as well as multiple linear regression techniques have been used. Experimental results suggest that the optimal conditions to obtain a minimum Sm of 52.60 gm and a maximum Pc of 190.60 cm(-1) were: 2 A, 5 mu s and 0.4, respectively, for current intensity, pulse time and duty cycle.Publication Open Access Multi-objective optimization of electrical discharge machining parameters using particle swarm optimization(Elsevier, 2024-01-22) Luis Pérez, Carmelo Javier; Ingeniería; Ingeniaritza; Universidad Pública de Navarra / Nafarroako Unibertsitate PublikoaThis 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 behavior and where the range of variation of the independent variables as well as those of the responses are subjected to constraints, which has a great deal of industrial interest. For example, maintaining roughness and dimensional tolerances within a tolerance range is determined by the design requirements of the manufactured parts (shape errors, microgeometry errors, etc.) and these requirements must be met in the manufacture of parts. It is demonstrated that it is possible to obtain optimal results in the ranges of variation considered for the independent variables, with regard to those obtained by experimentation. Similarly, models based on Adaptive Network-based Fuzzy Inference Systems are used to solve the problem that may arise from the inadequate fitting of the regression models. Thus, thanks to this present study a fast and efficient method is available for the multiple-optimization of response variables, subject to constraints on both response and independent variables, which are obtained from experiments and modelled by means of soft computing techniques. Furthermore, it is also demonstrated that it is possible to obtain technology tables for various manufacturing processes, which is of great interest from a technological point of view so as to obtain the most suitable processing conditions.Publication Open Access A proposal of an adaptive neuro-fuzzy inference system for modeling experimental data in manufacturing engineering(MDPI, 2020) Luis Pérez, Carmelo Javier; Ingeniería; IngeniaritzaIn 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 of variation that lead to optimal values of the response variables to be obtained. In recent years, it has been a common practice to rely on regression techniques to carry out the above-mentioned task. However, such models are sometimes not accurate enough to predict the behavior of these response variables, especially when they have significant non-linearities. In this present study a comparative analysis between the precision of different techniques based on conventional regression and soft computing is initially carried out. Specifically, regression techniques, based on the response surface model, as well as the use of artificial neural networks and fuzzy inference systems along with adaptive neuro-fuzzy inference systems will be employed to predict the behavior of the aforementioned technological variables. It will be shown that when there are difficulties in predicting the response parameters by using regression models, soft computing models are highly effective, being much more efficient than conventional regression models. In addition, a new method is proposed in this study that consists of using an iterative process to obtain a fuzzy inference system from a design of experiments and then using an adaptive neuro-fuzzy inference system for tuning the constants of the membership functions. As will be shown, with this method it is possible to obtain improved results in the validation metrics. The means of selecting the membership functions to develop this model from the design of experiments is discussed in this present study in order to obtain an initial solution, which will be then tuned by using an adaptive neuro-fuzzy inference system, to predict the behavior of the response variables. Moreover, the obtained results will also be compared.Publication Open Access Design, optimization, and mechanical property analysis of a submicrometric aluminium alloy connecting rod(Hindawi, 2015) Fuertes Bonel, Juan Pablo; León Iriarte, Javier; Luis Pérez, Carmelo Javier; Salcedo Pérez, Daniel; Puertas Arbizu, Ignacio; Luri Irigoyen, Rodrigo; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaUltrafine grained materials have a great deal of both scientific and technological interest because they allow outstanding properties to be obtained. An improvement in the mechanical strength and in the ductility and a better fatigue behaviour are properties to be expected with these materials. However, in spite of the great number of scientific publications that deals with the mechanical property improvement, the number of practical applications of these materials is scant. In this present research work, equal channel angular pressing (ECAP) is used as a severe plastic deformation process (SPD) to obtain billets which are subsequently isothermally forged to obtain a connecting rod with submicrometric grain size. The optimization of the design process is shown as well as the die design. The objective variables to be fulfilled are the correct filling of the die and the required force to obtain the part. Moreover, a comparison is also included between the mechanical properties thus obtained and those obtained with traditional methods. Moreover, optical and SEM micrographs are also included in this research work.Publication Open Access Design and optimization of the dies for the isothermal forging of a cam(Elsevier, 2015) Salcedo Pérez, Daniel; Luis Pérez, Carmelo Javier; Luri Irigoyen, Rodrigo; León Iriarte, Javier; Puertas Arbizu, Ignacio; Fuertes Bonel, Juan Pablo; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaIn the present study, the design of the dies required for the isothermal forging of a cam is analysed by finite volume method. Specifically, cams are of great importance in automotive industry, where a lower weight and an improvement in the lubrication or in the materials to be in contact lead to a significant reduction in the fuel cost. The flow stress curves of one Al-Mg alloy were firstly determined by using compression tests. Once these flow stress curves were obtained, FV simulation was employed. In the forging process, the optimum die configuration has been selected. To this end, several aspects have been taken into account such as the force required for the forging, the correct die filling, the introduced plastic strain and the damage imparted to the billet.Publication Open Access Design and mechanical properties analysis of AA5083 ultrafine grained cams(MDPI, 2017) Salcedo Pérez, Daniel; Luis Pérez, Carmelo Javier; Luri Irigoyen, Rodrigo; Puertas Arbizu, Ignacio; León Iriarte, Javier; Fuertes Bonel, Juan Pablo; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaThis present research work deals with the development of ultrafine grained cams obtained from previously ECAP (Equal Channel Angular Pressing)-processed material and manufactured by isothermal forging. The design and the manufacturing of the dies required for the isothermal forging of the cams are shown. Optimization techniques based on the combination of design of experiments, finite element and finite volume simulations are employed to develop the dies. A comparison is made between the mechanical properties obtained with the cams manufactured from material with no previous deformation and with those from previously SPD (Severe Plastic Deformation)-processed material. In addition, a comparative study between the experimental results and those obtained from the simulations is carried out. It has been demonstrated that it is possible to obtain ultrafine grained cams with an increase of 10.3% in the microhardness mean value as compared to that obtained from material with no previous deformation.Publication Open Access Optimal machining strategy selection in ball-end milling of hardened steels for injection molds(MDPI, 2019) Buj Corral, Irene; Ortiz Marzo, Jose Antonio; Costa Herrero, Lluís; Vivancos Calvet, Joan; Luis Pérez, Carmelo Javier; Ingeniería; IngeniaritzaIn 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. Semi-cylindrical specimens are employed in order to study surfaces with different slopes. Roughness was measured at different slopes, corresponding to inclination angles of 15 degrees, 45 degrees, 75 degrees, 90 degrees, 105 degrees, 135 degrees and 165 degrees for both climb and conventional milling. By means of regression analysis, second order models are obtained for average roughness Ra and total height of profile Rt for both climb and conventional milling. Considered variables were axial depth of cut a(p), radial depth of cut a(e), feed per tooth f(z,) cutting speed v(c,) and inclination angle Ang. The parameter a(e) was the most significant parameter for both Ra and Rt in regression models. Artificial neural networks (ANN) are used to obtain models for both Ra and Rt as a function of the same variables. ANN models provided high correlation values. Finally, the optimal machining strategy is selected from the experimental results of both average and standard deviation of roughness. As a general trend, climb milling is recommended in descendant trajectories and conventional milling is recommended in ascendant trajectories. This study will allow the selection of appropriate cutting conditions and machining strategies in the ball-end milling process.Publication Open Access Using a fuzzy inference system to obtain technological tables for electrical discharge machining processes(MDPI, 2020) Luis Pérez, Carmelo Javier; Ingeniería; IngeniaritzaTechnological 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 industrial importance and their experimental determination is very important because they allow the most appropriate operating conditions to be selected beforehand. These technological tables are usually employed for electrical discharge machining of steel, but their number is significantly less in the case of other materials. In this present research study, a methodology based on using a fuzzy inference system to obtain these technological tables is shown with the aim of being able to select the most appropriate manufacturing conditions in advance. In addition, a study of the results obtained using a fuzzy inference system for modeling the behavior of electrical discharge machining parameters is shown. These results are compared to those obtained from response surface methodology. Furthermore, it is demonstrated that the fuzzy system can provide a high degree of precision and, therefore, it can be used to determine the influence of these machining parameters on technological variables, such as roughness, electrode wear, or material removal rate, more efficiently than other techniques.Publication Open Access Análisis de la influencia de las condiciones de proceso sobre el acabado superficial de materiales cerámicos fabricados por electroerosión(CENIM, 2004) Puertas Arbizu, Ignacio; Luis Pérez, Carmelo Javier; Ingeniería Mecánica, Energética y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaEl mecanizado por electroerosión (en inglés, Electrical Discharge Machining, EDM) constituye una alternativa emergente frente a otros procesos de fabricación de materiales cerámicos conductores, tales como: mecanizado por láser, mecanizado electroquímico, chorro de agua con abrasivos, mecanizado por ultrasonidos y rectificado con muela de diamante. Debido a su interés en el ámbito industrial, en este trabajo se lleva a cabo un estudio de la influencia de las condiciones de operación sobre el aspecto superficial de tres materiales cerámicos conductores: carburo de boro prensado en caliente (B4C), carburo de silicio infiltrado con silicio (SiSiC) y carburo de wolframio en matriz metálica de cobalto (WC-Co), electroerosionados bajo diferentes condiciones de mecanizado y para el caso particular de regímenes de acabado (Ra ≤ 1 μm).