Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica

Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica

En este artículo se realiza una revisión bibliográfica de algunas metodologías del diseño de experimentos, enfocándose en su función y relevancia dentro de los experimentos con materiales, donde se resalta la importancia de los diseños de experimentos dentro de la investigación usando ejemplos de estrategias metodológicas, en primer lugar se realizó una revisión que permitiera introducir el concepto de diseño de experimentos, como este fue concebido, sus principios y su relación con la investigación, se incluyen los elementos principales de los cuales se compone un diseño de experimentos, y algunos supuestos a tener en cuenta en el momento de aplicar un diseño experimental en la investigación. Además, se muestran diferentes metodologías uti... Ver más

Guardado en:

Revista EIA

1794-1237

2463-0950

Baena Peréz , Libia María

Aguirre Poblador, Jose Felipe

Correa Álvarez, Cristian David

UNIVERSIDAD EIA

10.24050/reia.v20i40.1658

20

2023-12-19

4004 pp. 1

17

Colombia

diseño

materiales

optimización

Diseño factorial

variabilidad

experimentos

ensayos

métodos

Diseño de experimentos

factores

http://purl.org/coar/access_right/c_abf2

info:eu-repo/semantics/openAccess

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Revista EIA - 2023

id f9f6a2f024ccaebec3242dd434be5c70
record_format ojs
spelling Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
Gomes, F. P. C.; Thompson, M. R. (2018). Nondestructive evaluation of sintering and degradation for rotational molded polyethylene. Polymer Degradation and Stability, 157, pp. 34–43. https://doi.org/10.1016/j.polymdegradstab.2018.09.013
Lontos, A.; Gregoriou, A. (2019). The effect of the deformation rate on the wall thickness of 1.5LT PET bottle during ISBM (Injection Stretch Blow Molding) process. Procedia CIRP, 81, pp. 1307–1312. https://doi.org/10.1016/j.procir.2019.04.018
Lewis, S. M.; De la Salle, B. (2008). Control de calidad, Dacie y Lewis, Hematología Práctica (10 ed.), pp. 561-572. https://doi.org/10.1016/b978-84-8086-229-5.50026-6
Journal of Water Process Engineering, 47(December 2021), 102673. https://doi.org/10.1016/j.jwpe.2022.102673
Lee, B. C. Y.; Mahtab, M. S.; Neo, T. H.; Farooqi, I. H.; Khursheed, A. (2022). A comprehensive review of Design of experiment (DOE) for water and wastewater treatment application - Key concepts, methodology and contextualized application.
Kwiatkowski, D.; Modławski, M.; Jaruga, T. (2017). Design of Flash Pocket Inserts in an Extrusion Blow Mould Based on the Results of Numerical Simulations. Procedia Engineering, 177, pp. 127–134. https://doi.org/10.1016/j.proeng.2017.02.200
Kumar, S.; Singh, R.; Singh, T. P.; Batish, A. (2019). On process capability comparison of hybrid and multi blend PLA matrix composite: Magnetic and surface properties viewpoint. Materials Today: Proceedings, 28, pp. 521–525. https://doi.org/10.1016/j.matpr.2019.12.212
Johnson, R.; Miller, I.; Freund, J. (2018). Miller & Freund’s probability and statistics for engineers, 9na ed., Madison, Pearson Education.
Jankovic, A.; Chaudhary, G.; Goia, F. (2021). Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems. Energy and Buildings, 250, 111298. https://doi.org/10.1016/j.enbuild.2021.111298
Gupta, S.; Uday, V.; Raghuwanshi, A. S.; Chowkshey, S.; Das, S. N.; Suresh, S. (2013). Simulation of Blow Molding Using Ansys Polyflow. APCBEE Procedia, 5, pp. 468–473. https://doi.org/10.1016/j.apcbee.2013.05.079
Farotti, E.; Natalini, M. (2018). Injection molding. Influence of process parameters on mechanical properties of polypropylene polymer. A first study. Procedia Structural Integrity, 8, pp. 256–264. https://doi.org/10.1016/j.prostr.2017.12.027
Montgomery, D. C. (2013). Design and Analysis of Experiments, 8va ed., Arizona State University, John Wiley & Sons.
Eckes, G. (2003). Six Sigma for Everyone, Hoboken, John Wiley & Sons, Inc.
Dong, J.; Mandenius, C. F.; Lübberstedt, M.; Urbaniak, T.; Nüssler, A. K. N.; Knobeloch, D.; Gerlach, J. C.; Zeilinger, K. (2008). Evaluation and optimization of hepatocyte culture media factors by design of experiments (DoE) methodology. Cytotechnology, 57(3), pp. 251–261. https://doi.org/10.1007/s10616-008-9168-6
Doebelin, E. (2010). Introduction to Statistical Design of Experiments. In: Instrumentation Design Studies. CRC Press. https://doi.org/10.1201/9781439819487
Del Vecchio, R. J. (2007). Design of Experiments. Handbook of Vinyl Formulating, 2a ed., Grossman, F., pp. 515–527. https://doi.org/10.1002/9780470253595.ch22
Colwell, M.; Frith, R. (2021). Utilising the scientific method to demonstrate that slender beam/column behaviour is the dominant behavioural mechanism leading to roof/rib failure. International Journal of Mining Science and Technology, 31(5), 867–887. https://doi.org/10.1016/j.ijmst.2021.07.009
Coleman, D. E.; Montgomery, D. C. (1993). A Systematic Approach to Planning for a Designed Industrial Experiment. Technometrics, 35(1), 1. https://doi.org/10.2307/1269280
Charbonné, C.; Dhuitte, M. L.; Bouziane, K.; Chamoret, D.; Candusso, D.; Meyer, Y. (2021). Design of experiments on the effects of linear and hyperelastic constitutive models and geometric parameters on polymer electrolyte fuel cell mechanical and electrical behaviour. International Journal of Hydrogen Energy, 46(26), 13775–13790. https://doi.org/10.1016/j.ijhydene.2021.02.122
Berger, P. D.; Maurer, R. E.; Celli, G. B. (2017). Experimental design: With applications in management, engineering, and the sciences, 2a ed., Suiza, Springer Cham. https://doi.org/10.1007/978-3-319-64583-4
Barad, M. (2018). Strategies and techniques for quality and flexibility. SpringerBriefs in Applied Sciences and Technology. Cham: Springer. https://doi.org/https://doi.org/10.1007/978-3-319-68400-0
Machery, E. (2020). What is a Replication? Philosophy of Science, 87(4), pp. 545-567. https://doi.org/10.1086/709701.
Nardi, D.; Sinke, J. (2021). Design analysis for thermoforming of thermoplastic composites: prediction and machine learning-based optimization. Composites Part C: Open Access, 5, 100126. https://doi.org/10.1016/j.jcomc.2021.100126
Atuanya, C. U.; Aigbodion, V. S.; Obiorah, S. O.; Kchaou, M.; Elleuch, R. (2016). Empirical models for estimating the mechanical and morphological properties of recycled low density polyethylene/snail shell bio-composites. Journal of the Association of Arab Universities for Basic and Applied Sciences, 21, pp. 45–52. https://doi.org/10.1016/j.jaubas.2015.01.001
Yuce, B. E.; Nielsen, P. V.; Wargocki, P. (2022). Numerical Analyses of Ventilation Performance in Buildings Using CFD with ANOVA, Taguchi and GRA. Ssrn, 225, 109587. https://doi.org/10.1016/j.buildenv.2022.109587
Text
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
http://purl.org/coar/version/c_970fb48d4fbd8a85
info:eu-repo/semantics/publishedVersion
http://purl.org/redcol/resource_type/ART
http://purl.org/coar/resource_type/c_2df8fbb1
http://purl.org/coar/resource_type/c_6501
info:eu-repo/semantics/article
Xin, L. L.; Sharif, S.; Saad, R. M. (2015). Gas-assisted Injection Molding: Case Study on Process Optimization of CD-Rom Tray Manufacturing. In Procedia Manufacturing, 2, pp. 538–542. https://doi.org/10.1016/j.promfg.2015.07.093
Nelles, O. (2020). Nonlinear System Identification. From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes, Suiza, Springer: Cham. https://doi.org/10.1007/978-3-030-47439-3
Wu, C. F. J.; Hamada, M. (2021). Experiments: Planning, Analysis, and Optimization. In Journal of Engineering Management and Competitiveness 10(1). https://doi.org/10.1002/9781119470007
Vieira, L. W.; Marques, A. D.; Schneider, P. S.; José da Silva Neto, A.; Viana, F. A. C.; Abdel-Jawad, M.; Hunt, J. D.; Siluk, J. C. M. (2021). Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach. Energy and AI, 3, 100040. https://doi.org/10.1016/j.egyai.2020.100040
Tumova, O.; Kupka, L.; Netolicky, P. (2018). Design of Experiments approach and its application in the evaluation of experiments. 2018 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2018, pp. 15–18. https://doi.org/10.1109/DIAGNOSTIKA.2018.8526104
Santa, A. C.; Tamayo, J. A.; Correa, C. D.; Gómez, M. A.; Castaño, J. G.; Baena, L. M. (2022). Atmospheric corrosion maps as a tool for designing and maintaining building materials: A review. Heliyon 8(9). https://doi.org/10.1016/j.heliyon.2022.e10438 Schiefer, H.; Schiefer, F. (2021). Statistics for Engineers, Wiesbaden, Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-32397-4
Saeedabadi, K.; Tosello, G.; Calaon, M. (2022). Optimization of injection molded polymer lab-on-a-chip for acoustic blood plasma separation using virtual design of experiment. Procedia CIRP, 107, pp. 40–45. https://doi.org/10.1016/j.procir.2022.04.007
Román-Ramírez, L. A.; Marco, J. (2022). Design of experiments applied to lithium-ion batteries: A literature review. Applied Energy, 320. https://doi.org/10.1016/j.apenergy.2022.119305
Ramkumar, P. L.; Kulkarni, D. M.; Chaudhari, V. V. (2019). Fracture toughness of LLDPE parts using rotational moulding technology. International Journal of Materials and Product Technology, 58(4), pp. 305–322. https://doi.org/10.1504/IJMPT.2019.100003
Pakdil, F. (2020). Six Sigma for Students. A Problem-Solving Methodology, Suiza, Springer International Publishing. https://doi.org/10.1007/978-3-030-40709-4
Nieschlag, J.; Eisenhardt, P.; Coutandin, S.; Fleischer, J. (2021). Numerical design of rotationally molded composite tie rods. Composite Structures, 278, 114687. https://doi.org/10.1016/j.compstruct.2021.114687
Niedz, R. P.; Evens, T. J. (2016). Design of experiments (DOE)—history, concepts, and relevance to in vitro culture. In Vitro Cellular and Developmental Biology - Plant, 52(6), pp. 547–562. https://doi.org/10.1007/s11627-016-9786-1
Babbie, E. (2000). Fundamentos de la Investigacion Social. Cengage Learning Latin Am. http://books.google.es/books?id=1_yyPqkoqMIC.
Atuanya, C. U.; Aigbodion, V. S.; Nwigbo, S. C. (2014). Experimental study of the thermal and wear properties of recycled polyethylene/breadfruit seed hull ash particulate composites. Materials and Design, 53, pp. 65–73. https://doi.org/10.1016/j.matdes.2013.06.057
Publication
diseño
40
20
materiales
optimización
Diseño factorial
variabilidad
experimentos
Artículo de revista
ensayos
métodos
Diseño de experimentos
Baena Peréz , Libia María
Aguirre Poblador, Jose Felipe
Correa Álvarez, Cristian David
En este artículo se realiza una revisión bibliográfica de algunas metodologías del diseño de experimentos, enfocándose en su función y relevancia dentro de los experimentos con materiales, donde se resalta la importancia de los diseños de experimentos dentro de la investigación usando ejemplos de estrategias metodológicas, en primer lugar se realizó una revisión que permitiera introducir el concepto de diseño de experimentos, como este fue concebido, sus principios y su relación con la investigación, se incluyen los elementos principales de los cuales se compone un diseño de experimentos, y algunos supuestos a tener en cuenta en el momento de aplicar un diseño experimental en la investigación. Además, se muestran diferentes metodologías utilizas por algunos autores asociadas a los experimentos, se mencionan diferencias entre cada una de ellas y por qué emplearlas de acuerdo con la necesidad del experimento. Luego, se muestran distintos ejemplos de diseño de experimentos usadas en diferentes artículos de investigación enfocados en materiales poliméricos, en estos ejemplos se resaltan las distintas variables del experimento, cuál era el propósito de la investigación y porque se decantaron por el diseño de experimentos que mencionan. Por último, después de realizar la revisión bibliográfica se encontró que en la mayoría de los diseños experimentales aplicado al campo de la experimentación permite optimizar los recursos sin necesidad de realizar una gran cantidad de intentos, de hecho, dependiendo del tipo de experimento será factible elegir un diseño que se acomode a las necesidades de los investigadores, de acuerdo con los objetivos planteados en el experimento.
Núm. 40 , Año 2023 : .
factores
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
application/pdf
Fondo Editorial EIA - Universidad EIA
Revista EIA - 2023
Revista EIA
https://creativecommons.org/licenses/by-nc-nd/4.0
https://revistas.eia.edu.co/index.php/reveia/article/view/1658
Español
Journal article
variability
In this article, a bibliographical review of some methodologies of design of experiments is carried out, focusing on its function and relevance within the experiments, where the importance of the designs of experiments within the investigation is highlighted using examples of the strategies and designs of experiments. In the first place, a review was carried out that would allow the introduction of the concept of design of experiments, how it was conceived, its principles and its relationship with the investigation, including the main elements of which designs of experiments are composed, and some assumptions to be considered at the time of apply an experimental design in research are included. In addition, different methodologies used by some authors in experiments are shown, what they are and a basic notion of the different methodologies used in the research, focusing on the differences between each one of them and why to use them according to the need of the experiment, then from this, different examples of the different experimental design methodologies used in research articles focused on polymeric materials were carried out, in these examples the different variables of the experiment were stood up, what was the purpose of the investigation and why they opted for the design of experiments they mention. Finally, after carrying out the bibliographical review, it was found that in most of the experimental design applied to the field of experimentation, it allows optimizing the resources without the need to make many attempts. In fact, depending on the type of experiment, it will be feasible to choose a design that is accommodate the needs of the researchers, according to the objectives set in the experiment.
design of experiments
methods
testing
experiments
design
optimization
factorial design
factor
materials
Statistical metodologies used in experimentation with polymeric materials: a bibliographic review
2023-12-19 09:37:41
https://revistas.eia.edu.co/index.php/reveia/article/download/1658/1555
https://doi.org/10.24050/reia.v20i40.1658
10.24050/reia.v20i40.1658
2463-0950
1794-1237
17
2023-12-19
2023-12-19 09:37:41
4004 pp. 1
institution UNIVERSIDAD EIA
thumbnail https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png
country_str Colombia
collection Revista EIA
title Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
spellingShingle Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
Baena Peréz , Libia María
Aguirre Poblador, Jose Felipe
Correa Álvarez, Cristian David
diseño
materiales
optimización
Diseño factorial
variabilidad
experimentos
ensayos
métodos
Diseño de experimentos
factores
variability
design of experiments
methods
testing
experiments
design
optimization
factorial design
factor
materials
title_short Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
title_full Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
title_fullStr Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
title_full_unstemmed Metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
title_sort metodologías estadísticas utilizadas en la experimentación con materiales poliméricos: una revisión bibliográfica
title_eng Statistical metodologies used in experimentation with polymeric materials: a bibliographic review
description En este artículo se realiza una revisión bibliográfica de algunas metodologías del diseño de experimentos, enfocándose en su función y relevancia dentro de los experimentos con materiales, donde se resalta la importancia de los diseños de experimentos dentro de la investigación usando ejemplos de estrategias metodológicas, en primer lugar se realizó una revisión que permitiera introducir el concepto de diseño de experimentos, como este fue concebido, sus principios y su relación con la investigación, se incluyen los elementos principales de los cuales se compone un diseño de experimentos, y algunos supuestos a tener en cuenta en el momento de aplicar un diseño experimental en la investigación. Además, se muestran diferentes metodologías utilizas por algunos autores asociadas a los experimentos, se mencionan diferencias entre cada una de ellas y por qué emplearlas de acuerdo con la necesidad del experimento. Luego, se muestran distintos ejemplos de diseño de experimentos usadas en diferentes artículos de investigación enfocados en materiales poliméricos, en estos ejemplos se resaltan las distintas variables del experimento, cuál era el propósito de la investigación y porque se decantaron por el diseño de experimentos que mencionan. Por último, después de realizar la revisión bibliográfica se encontró que en la mayoría de los diseños experimentales aplicado al campo de la experimentación permite optimizar los recursos sin necesidad de realizar una gran cantidad de intentos, de hecho, dependiendo del tipo de experimento será factible elegir un diseño que se acomode a las necesidades de los investigadores, de acuerdo con los objetivos planteados en el experimento.
description_eng In this article, a bibliographical review of some methodologies of design of experiments is carried out, focusing on its function and relevance within the experiments, where the importance of the designs of experiments within the investigation is highlighted using examples of the strategies and designs of experiments. In the first place, a review was carried out that would allow the introduction of the concept of design of experiments, how it was conceived, its principles and its relationship with the investigation, including the main elements of which designs of experiments are composed, and some assumptions to be considered at the time of apply an experimental design in research are included. In addition, different methodologies used by some authors in experiments are shown, what they are and a basic notion of the different methodologies used in the research, focusing on the differences between each one of them and why to use them according to the need of the experiment, then from this, different examples of the different experimental design methodologies used in research articles focused on polymeric materials were carried out, in these examples the different variables of the experiment were stood up, what was the purpose of the investigation and why they opted for the design of experiments they mention. Finally, after carrying out the bibliographical review, it was found that in most of the experimental design applied to the field of experimentation, it allows optimizing the resources without the need to make many attempts. In fact, depending on the type of experiment, it will be feasible to choose a design that is accommodate the needs of the researchers, according to the objectives set in the experiment.
author Baena Peréz , Libia María
Aguirre Poblador, Jose Felipe
Correa Álvarez, Cristian David
author_facet Baena Peréz , Libia María
Aguirre Poblador, Jose Felipe
Correa Álvarez, Cristian David
topicspa_str_mv diseño
materiales
optimización
Diseño factorial
variabilidad
experimentos
ensayos
métodos
Diseño de experimentos
factores
topic diseño
materiales
optimización
Diseño factorial
variabilidad
experimentos
ensayos
métodos
Diseño de experimentos
factores
variability
design of experiments
methods
testing
experiments
design
optimization
factorial design
factor
materials
topic_facet diseño
materiales
optimización
Diseño factorial
variabilidad
experimentos
ensayos
métodos
Diseño de experimentos
factores
variability
design of experiments
methods
testing
experiments
design
optimization
factorial design
factor
materials
citationvolume 20
citationissue 40
citationedition Núm. 40 , Año 2023 : .
publisher Fondo Editorial EIA - Universidad EIA
ispartofjournal Revista EIA
source https://revistas.eia.edu.co/index.php/reveia/article/view/1658
language Español
format Article
rights http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Revista EIA - 2023
https://creativecommons.org/licenses/by-nc-nd/4.0
references Gomes, F. P. C.; Thompson, M. R. (2018). Nondestructive evaluation of sintering and degradation for rotational molded polyethylene. Polymer Degradation and Stability, 157, pp. 34–43. https://doi.org/10.1016/j.polymdegradstab.2018.09.013
Lontos, A.; Gregoriou, A. (2019). The effect of the deformation rate on the wall thickness of 1.5LT PET bottle during ISBM (Injection Stretch Blow Molding) process. Procedia CIRP, 81, pp. 1307–1312. https://doi.org/10.1016/j.procir.2019.04.018
Lewis, S. M.; De la Salle, B. (2008). Control de calidad, Dacie y Lewis, Hematología Práctica (10 ed.), pp. 561-572. https://doi.org/10.1016/b978-84-8086-229-5.50026-6
Journal of Water Process Engineering, 47(December 2021), 102673. https://doi.org/10.1016/j.jwpe.2022.102673
Lee, B. C. Y.; Mahtab, M. S.; Neo, T. H.; Farooqi, I. H.; Khursheed, A. (2022). A comprehensive review of Design of experiment (DOE) for water and wastewater treatment application - Key concepts, methodology and contextualized application.
Kwiatkowski, D.; Modławski, M.; Jaruga, T. (2017). Design of Flash Pocket Inserts in an Extrusion Blow Mould Based on the Results of Numerical Simulations. Procedia Engineering, 177, pp. 127–134. https://doi.org/10.1016/j.proeng.2017.02.200
Kumar, S.; Singh, R.; Singh, T. P.; Batish, A. (2019). On process capability comparison of hybrid and multi blend PLA matrix composite: Magnetic and surface properties viewpoint. Materials Today: Proceedings, 28, pp. 521–525. https://doi.org/10.1016/j.matpr.2019.12.212
Johnson, R.; Miller, I.; Freund, J. (2018). Miller & Freund’s probability and statistics for engineers, 9na ed., Madison, Pearson Education.
Jankovic, A.; Chaudhary, G.; Goia, F. (2021). Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems. Energy and Buildings, 250, 111298. https://doi.org/10.1016/j.enbuild.2021.111298
Gupta, S.; Uday, V.; Raghuwanshi, A. S.; Chowkshey, S.; Das, S. N.; Suresh, S. (2013). Simulation of Blow Molding Using Ansys Polyflow. APCBEE Procedia, 5, pp. 468–473. https://doi.org/10.1016/j.apcbee.2013.05.079
Farotti, E.; Natalini, M. (2018). Injection molding. Influence of process parameters on mechanical properties of polypropylene polymer. A first study. Procedia Structural Integrity, 8, pp. 256–264. https://doi.org/10.1016/j.prostr.2017.12.027
Montgomery, D. C. (2013). Design and Analysis of Experiments, 8va ed., Arizona State University, John Wiley & Sons.
Eckes, G. (2003). Six Sigma for Everyone, Hoboken, John Wiley & Sons, Inc.
Dong, J.; Mandenius, C. F.; Lübberstedt, M.; Urbaniak, T.; Nüssler, A. K. N.; Knobeloch, D.; Gerlach, J. C.; Zeilinger, K. (2008). Evaluation and optimization of hepatocyte culture media factors by design of experiments (DoE) methodology. Cytotechnology, 57(3), pp. 251–261. https://doi.org/10.1007/s10616-008-9168-6
Doebelin, E. (2010). Introduction to Statistical Design of Experiments. In: Instrumentation Design Studies. CRC Press. https://doi.org/10.1201/9781439819487
Del Vecchio, R. J. (2007). Design of Experiments. Handbook of Vinyl Formulating, 2a ed., Grossman, F., pp. 515–527. https://doi.org/10.1002/9780470253595.ch22
Colwell, M.; Frith, R. (2021). Utilising the scientific method to demonstrate that slender beam/column behaviour is the dominant behavioural mechanism leading to roof/rib failure. International Journal of Mining Science and Technology, 31(5), 867–887. https://doi.org/10.1016/j.ijmst.2021.07.009
Coleman, D. E.; Montgomery, D. C. (1993). A Systematic Approach to Planning for a Designed Industrial Experiment. Technometrics, 35(1), 1. https://doi.org/10.2307/1269280
Charbonné, C.; Dhuitte, M. L.; Bouziane, K.; Chamoret, D.; Candusso, D.; Meyer, Y. (2021). Design of experiments on the effects of linear and hyperelastic constitutive models and geometric parameters on polymer electrolyte fuel cell mechanical and electrical behaviour. International Journal of Hydrogen Energy, 46(26), 13775–13790. https://doi.org/10.1016/j.ijhydene.2021.02.122
Berger, P. D.; Maurer, R. E.; Celli, G. B. (2017). Experimental design: With applications in management, engineering, and the sciences, 2a ed., Suiza, Springer Cham. https://doi.org/10.1007/978-3-319-64583-4
Barad, M. (2018). Strategies and techniques for quality and flexibility. SpringerBriefs in Applied Sciences and Technology. Cham: Springer. https://doi.org/https://doi.org/10.1007/978-3-319-68400-0
Machery, E. (2020). What is a Replication? Philosophy of Science, 87(4), pp. 545-567. https://doi.org/10.1086/709701.
Nardi, D.; Sinke, J. (2021). Design analysis for thermoforming of thermoplastic composites: prediction and machine learning-based optimization. Composites Part C: Open Access, 5, 100126. https://doi.org/10.1016/j.jcomc.2021.100126
Atuanya, C. U.; Aigbodion, V. S.; Obiorah, S. O.; Kchaou, M.; Elleuch, R. (2016). Empirical models for estimating the mechanical and morphological properties of recycled low density polyethylene/snail shell bio-composites. Journal of the Association of Arab Universities for Basic and Applied Sciences, 21, pp. 45–52. https://doi.org/10.1016/j.jaubas.2015.01.001
Yuce, B. E.; Nielsen, P. V.; Wargocki, P. (2022). Numerical Analyses of Ventilation Performance in Buildings Using CFD with ANOVA, Taguchi and GRA. Ssrn, 225, 109587. https://doi.org/10.1016/j.buildenv.2022.109587
Xin, L. L.; Sharif, S.; Saad, R. M. (2015). Gas-assisted Injection Molding: Case Study on Process Optimization of CD-Rom Tray Manufacturing. In Procedia Manufacturing, 2, pp. 538–542. https://doi.org/10.1016/j.promfg.2015.07.093
Nelles, O. (2020). Nonlinear System Identification. From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes, Suiza, Springer: Cham. https://doi.org/10.1007/978-3-030-47439-3
Wu, C. F. J.; Hamada, M. (2021). Experiments: Planning, Analysis, and Optimization. In Journal of Engineering Management and Competitiveness 10(1). https://doi.org/10.1002/9781119470007
Vieira, L. W.; Marques, A. D.; Schneider, P. S.; José da Silva Neto, A.; Viana, F. A. C.; Abdel-Jawad, M.; Hunt, J. D.; Siluk, J. C. M. (2021). Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach. Energy and AI, 3, 100040. https://doi.org/10.1016/j.egyai.2020.100040
Tumova, O.; Kupka, L.; Netolicky, P. (2018). Design of Experiments approach and its application in the evaluation of experiments. 2018 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2018, pp. 15–18. https://doi.org/10.1109/DIAGNOSTIKA.2018.8526104
Santa, A. C.; Tamayo, J. A.; Correa, C. D.; Gómez, M. A.; Castaño, J. G.; Baena, L. M. (2022). Atmospheric corrosion maps as a tool for designing and maintaining building materials: A review. Heliyon 8(9). https://doi.org/10.1016/j.heliyon.2022.e10438 Schiefer, H.; Schiefer, F. (2021). Statistics for Engineers, Wiesbaden, Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-32397-4
Saeedabadi, K.; Tosello, G.; Calaon, M. (2022). Optimization of injection molded polymer lab-on-a-chip for acoustic blood plasma separation using virtual design of experiment. Procedia CIRP, 107, pp. 40–45. https://doi.org/10.1016/j.procir.2022.04.007
Román-Ramírez, L. A.; Marco, J. (2022). Design of experiments applied to lithium-ion batteries: A literature review. Applied Energy, 320. https://doi.org/10.1016/j.apenergy.2022.119305
Ramkumar, P. L.; Kulkarni, D. M.; Chaudhari, V. V. (2019). Fracture toughness of LLDPE parts using rotational moulding technology. International Journal of Materials and Product Technology, 58(4), pp. 305–322. https://doi.org/10.1504/IJMPT.2019.100003
Pakdil, F. (2020). Six Sigma for Students. A Problem-Solving Methodology, Suiza, Springer International Publishing. https://doi.org/10.1007/978-3-030-40709-4
Nieschlag, J.; Eisenhardt, P.; Coutandin, S.; Fleischer, J. (2021). Numerical design of rotationally molded composite tie rods. Composite Structures, 278, 114687. https://doi.org/10.1016/j.compstruct.2021.114687
Niedz, R. P.; Evens, T. J. (2016). Design of experiments (DOE)—history, concepts, and relevance to in vitro culture. In Vitro Cellular and Developmental Biology - Plant, 52(6), pp. 547–562. https://doi.org/10.1007/s11627-016-9786-1
Babbie, E. (2000). Fundamentos de la Investigacion Social. Cengage Learning Latin Am. http://books.google.es/books?id=1_yyPqkoqMIC.
Atuanya, C. U.; Aigbodion, V. S.; Nwigbo, S. C. (2014). Experimental study of the thermal and wear properties of recycled polyethylene/breadfruit seed hull ash particulate composites. Materials and Design, 53, pp. 65–73. https://doi.org/10.1016/j.matdes.2013.06.057
type_driver info:eu-repo/semantics/article
type_coar http://purl.org/coar/resource_type/c_2df8fbb1
type_version info:eu-repo/semantics/publishedVersion
type_coarversion http://purl.org/coar/version/c_970fb48d4fbd8a85
type_content Text
publishDate 2023-12-19
date_accessioned 2023-12-19 09:37:41
date_available 2023-12-19 09:37:41
url https://revistas.eia.edu.co/index.php/reveia/article/view/1658
url_doi https://doi.org/10.24050/reia.v20i40.1658
issn 1794-1237
eissn 2463-0950
doi 10.24050/reia.v20i40.1658
citationstartpage 4004 pp. 1
citationendpage 17
url3_str_mv https://revistas.eia.edu.co/index.php/reveia/article/download/1658/1555
_version_ 1797159406993932288

Código QR

Estadísticas y Métricas Alternativas

Títulos similares