Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process

Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process

This paper proposes the use Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process to reduce the total displacement of the product. The variables of melting temperature, cooling time, filling time, and holding time were identified. The use of Ta...

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Autors principals: Reynoso Jardón, Elva Lilia, Nandayapa Alfaro, Manuel de Jesús, Estrada Barbosa , Quirino, Tenango Pirin, Oscar, Mariaca Beltrán, Yahir de Jes´ús, Fraire Bernal, Jacinto, González Miranda, Carlos Sebastian
Format: Online
Idioma:spa
Publicat: Universidad Autónoma de Baja California 2023
Accés en línia:https://recit.uabc.mx/index.php/revista/article/view/269
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spelling recit-article-2692024-02-13T02:55:52Z Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process Método Taguchi para la optimización de parámetros en la simulación numérica del proceso de inyección de plástico Reynoso Jardón, Elva Lilia Nandayapa Alfaro, Manuel de Jesús Estrada Barbosa , Quirino Tenango Pirin, Oscar Mariaca Beltrán, Yahir de Jes´ús Fraire Bernal, Jacinto González Miranda, Carlos Sebastian Simulación numérica Inyección de plásticos Taguchi Numerical simulation Plastic injection Taguchi This paper proposes the use Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process to reduce the total displacement of the product. The variables of melting temperature, cooling time, filling time, and holding time were identified. The use of Taguchi's design of experiments of three levels and five factors is proposed, which adds up to a total of 27 iterations of the experiment. The signal-to-noise analysis determined that the two most influential parameters in the decrease of displacement were melting temperature and pressure maintenance time. After the analysis of the variance and the interpretation of signal graphs, two experiments were proposed whose values demonstrated an improvement of 27 % (5.0349 mm) and 31.43 % (4.7485 mm), respectively, compared to the control values (6.9252 mm). Using Taguchi and SolidWorks plastic, it was possible to reduce the variation of deformation and the detection of the main variables that affect the filling process of the part by applying the proposed method. El trabajo plantea el uso de Método Taguchi para la optimización de parámetros en la simulación numérica del proceso de inyección de plástico para reducir el desplazamiento total en el producto. Se identificaron las variables de temperatura de derretimiento, tiempo de enfriamiento, tiempo de llenado, y tiempo de mantención. Se plantea la utilización de diseño de experimentos de Taguchi de tres niveles y cinco factores, que suman un total de 27 iteraciones del experimento. El análisis de señal a ruido determinó que los dos parámetros más influyentes en la disminución de desplazamiento fueron temperatura de derretimiento y tiempo de mantención de presión. Tras el análisis de la varianza y la interpretación de gráficas de señal se plantearon dos experimentos cuyos valores demostraron una mejora de 27 % (5.0349 mm) y 31.43% (4.7485 mm), respectivamente, en comparación a los valores de control (6.9252 mm). Mediante el uso de las herramientas permite. Mediante el uso de Taguchi y SolidWorks plastic se logró disminuir la variación de la deformación y la detección de las principales variables que afectan en el proceso de llenado de la pieza aplicando el método propuesto. Universidad Autónoma de Baja California 2023-10-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html application/zip https://recit.uabc.mx/index.php/revista/article/view/269 10.37636/recit.v6n4e269 REVISTA DE CIENCIAS TECNOLÓGICAS; Vol. 6 No. 4 (2023): October-December; e269 REVISTA DE CIENCIAS TECNOLÓGICAS; Vol. 6 Núm. 4 (2023): Octubre-Diciembre; e269 2594-1925 spa https://recit.uabc.mx/index.php/revista/article/view/269/491 https://recit.uabc.mx/index.php/revista/article/view/269/492 https://recit.uabc.mx/index.php/revista/article/view/269/493 Copyright (c) 2023 Elva Lilia Reynoso Jardón, Manuel de Jesús Nandayapa Alfaro , Quirino Estrada Barbosa , Oscar Tenango Pirin, Yahir de Jes´ús Mariaca Beltrán, Jacinto Fraire Bernal, Carlos Sebastian González Miranda https://creativecommons.org/licenses/by/4.0
institution RECIT
collection OJS
language spa
format Online
author Reynoso Jardón, Elva Lilia
Nandayapa Alfaro, Manuel de Jesús
Estrada Barbosa , Quirino
Tenango Pirin, Oscar
Mariaca Beltrán, Yahir de Jes´ús
Fraire Bernal, Jacinto
González Miranda, Carlos Sebastian
spellingShingle Reynoso Jardón, Elva Lilia
Nandayapa Alfaro, Manuel de Jesús
Estrada Barbosa , Quirino
Tenango Pirin, Oscar
Mariaca Beltrán, Yahir de Jes´ús
Fraire Bernal, Jacinto
González Miranda, Carlos Sebastian
Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
author_facet Reynoso Jardón, Elva Lilia
Nandayapa Alfaro, Manuel de Jesús
Estrada Barbosa , Quirino
Tenango Pirin, Oscar
Mariaca Beltrán, Yahir de Jes´ús
Fraire Bernal, Jacinto
González Miranda, Carlos Sebastian
author_sort Reynoso Jardón, Elva Lilia
title Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
title_short Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
title_full Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
title_fullStr Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
title_full_unstemmed Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
title_sort taguchi method for parameter optimization in the numerical simulation stage for the injection molding process
description This paper proposes the use Taguchi method for parameter optimization in the numerical simulation stage for the injection molding process to reduce the total displacement of the product. The variables of melting temperature, cooling time, filling time, and holding time were identified. The use of Taguchi's design of experiments of three levels and five factors is proposed, which adds up to a total of 27 iterations of the experiment. The signal-to-noise analysis determined that the two most influential parameters in the decrease of displacement were melting temperature and pressure maintenance time. After the analysis of the variance and the interpretation of signal graphs, two experiments were proposed whose values demonstrated an improvement of 27 % (5.0349 mm) and 31.43 % (4.7485 mm), respectively, compared to the control values (6.9252 mm). Using Taguchi and SolidWorks plastic, it was possible to reduce the variation of deformation and the detection of the main variables that affect the filling process of the part by applying the proposed method.
publisher Universidad Autónoma de Baja California
publishDate 2023
url https://recit.uabc.mx/index.php/revista/article/view/269
_version_ 1792095383984275456

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