logo

Statistical metodologies used in experimentation with polymeric materials: a bibliographic review

10.24050/reia.v20i40.1658
Published 2023-12-19
Articles

Abstract

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.

Keywords

Categories

Authors

  • Cristian David Correa Álvarez

    Instituto Tecnológico Metropolitano - Colombia

    https://orcid.org/0000-0002-1890-1021

  • Jose Felipe Aguirre Poblador

    Instituto Tecnológico Metropolitano - Colombia

  • Libia María Baena Peréz

    Instituto Tecnológico Metropolitano - Colombia

References

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

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

Babbie, E. (2000). Fundamentos de la Investigacion Social. Cengage Learning Latin Am. http://books.google.es/books?id=1_yyPqkoqMIC.

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

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

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

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

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

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

Doebelin, E. (2010). Introduction to Statistical Design of Experiments. In: Instrumentation Design Studies. CRC Press. https://doi.org/10.1201/9781439819487

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

Eckes, G. (2003). Six Sigma for Everyone, Hoboken, John Wiley & Sons, Inc.

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

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

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

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

Johnson, R.; Miller, I.; Freund, J. (2018). Miller & Freund’s probability and statistics for engineers, 9na ed., Madison, Pearson Education.

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

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

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.

Journal of Water Process Engineering, 47(December 2021), 102673. https://doi.org/10.1016/j.jwpe.2022.102673

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

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

Machery, E. (2020). What is a Replication? Philosophy of Science, 87(4), pp. 545-567. https://doi.org/10.1086/709701.

Montgomery, D. C. (2013). Design and Analysis of Experiments, 8va ed., Arizona State University, John Wiley & Sons.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Statistics

Abstract
0
PDF accesses
0

Dimensions

PlumX

Downloads

Download data is not yet available.