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Measurement Science Review

The Journal of Institute of Measurement Science of Slovak Academy of Sciences

6 Issues per year


IMPACT FACTOR 2016: 1.344

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1335-8871
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Volume 18, Issue 3

Issues

Dimensional and Geometrical Errors in Vacuum Thermoforming Products: An Approach to Modeling and Optimization by Multiple Response Optimization

W. O. Leite
  • Corresponding author
  • Campus Betim, Departamento de Mecânica, Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerias, Rua Itaguaçu, No. 595 - São Caetano, 32677-780, Betim, Brasil
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ J. C. Campos Rubio
  • Escola de Engenharia, Departamento de Engenharia Mecânica,Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, No.6627 - Pampulha, 31270-901, Belo Horizonte, Brasil
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ F. Mata
  • Escuela de Ingeniería Minera e Industrial de Almadén, Departamento Mecánica Aplicada e Ingeniería de Proyectos, Universidad de Castilla-La Mancha, Plaza Manuel Meca No.1,13400, Almadén, España
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ I. Hanafi
  • Ecole National des Sciences Appliquées d' Al Hoceima (ENSAH), Department of Civil and Environmental Engineering, BP. 03, Ajdir, Al Hoceima, Morocco
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ A. Carrasco
  • Escuela de Ingeniería Minera e Industrial de Almadén, Departamento de Filología Moderna, Universidad de Castilla-La Mancha, Plaza Manuel Meca No.1,13400, Almadén, España
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-06-12 | DOI: https://doi.org/10.1515/msr-2018-0017

Abstract

In the vacuum thermoforming process, the product deviations depend on several parameters of the system, which make the analysis, the computational modeling, and the optimization of errors a multi-variable process with conflicting objectives. In this sense, the aim of this work was to study the dimensional and geometrical errors as well as the optimization (minimization) of these errors in one typical vacuum thermoforming product made of polystyrene (PS). In particular, it was intended to predict and minimize errors in a range of ideal tolerances using Multiple Response Optimization (MRO) Models. Thus, through the fractional factorial design (2k-p), initial experimental tests were performed using proposed measurement procedures, and Analysis of Variance being the data analysis is discussed. Following that, the MRO models were implemented which were also validated to represent the sample data. Through this analysis of the results, it can be concluded that the regression models of errors are not linear functions, hence, the developed models are valid for the studied process, and finally that the validation results proved the efficiency of MOR models developed, but these models will not be able to generalize to new situations in a range far from the values studied.

Keywords: Dimensional and geometrical errors; vacuum thermoforming process; multiple response optimization; plastics processing

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About the article

Received: 2017-12-12

Accepted: 2018-05-14

Published Online: 2018-06-12

Published in Print: 2018-06-01


Citation Information: Measurement Science Review, Volume 18, Issue 3, Pages 113–122, ISSN (Online) 1335-8871, DOI: https://doi.org/10.1515/msr-2018-0017.

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© 2018 W. O. Leite, published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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