Artigo de periodico

Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering (2019)

• Authors:
  • Pimenta, Cristie Diego
  • Silva, Messias Borges
  • Campos, Rose Limade Morais
  • Gomes, Fabrício Maciel
• USP affiliated authors: SILVA, MESSIAS BORGES - EEL ; GOMES, FABRÍCIO MACIEL - EEL
• Unidade: EEL
• DOI: 10.5539/ijsp.v9n1p9
• Assunto: ENGENHARIA
• Keywords: response surface methodology; quenching; design of experiments; principal components analysis
• Language: Inglês
• Abstract: The purpose of this work was the creation of a statistical modeling capable of replacing the process used to set up of the ovens of the quenching and tempering who is traditionally accomplished through adjustments made based on the results of mechanical properties tested in laboratory and required in customer specifications. This study seeks to understand the influence of input variables (factors) on the tensile strength limit, in SAE 9254 draw steel wires, with diameters 2.00 mm and 6.50 mm, used in the manufacture of valve springs and clutch springs for automobiles. The process input variables were investigated: steel wire diameter, processing speed, temper temperature and liquid polymer concentration (which is the tempering medium). Methodologies were used where design of experiments, multiple regression and quadratic regression, principal components analysis (multivariate statistical) and response surface methodology. Results revealed which variables are significant in the process. Also models obtained were validated using appropriate statistical methods. If this study is used, it can provide the automation of this process. It’s important to point out that it could impact the increase in productivity and quality of product.
• Imprenta:
  • Publisher place: Toronto
  • Date published: 2019
• Source:
  • Título: International journal of statistics and probability
  • ISSN: 19277032
  • Volume/Número/Paginação/Ano: v.9, n.1, p.9-29, 2019

Informações sobre o DOI: 10.5539/ijsp.v9n1p9 (Fonte: oaDOI API)
• Este periódico é de acesso aberto
• Este artigo NÃO é de acesso aberto
  

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How to cite

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• ABNT

  PIMENTA, Cristie Diego et al. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, v. 9, n. 1, p. 9-29, 2019Tradução . . Disponível em: https://doi.org/10.5539/ijsp.v9n1p9. Acesso em: 13 fev. 2026.

• APA

  Pimenta, C. D., Silva, M. B., Campos, R. L. M., & Gomes, F. M. (2019). Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering. International journal of statistics and probability, 9( 1), 9-29. doi:10.5539/ijsp.v9n1p9

• NLM

  Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2026 fev. 13 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9

• Vancouver

  Pimenta CD, Silva MB, Campos RLM, Gomes FM. Application of Principal Component Analysis and Response Surface Methodology in the Process of Steel Wire Tempering [Internet]. International journal of statistics and probability. 2019 ;9( 1): 9-29.[citado 2026 fev. 13 ] Available from: https://doi.org/10.5539/ijsp.v9n1p9

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