Predictive analysis of peel up delamination in glass fibre reinforced polyester composite drilling

Ritesh Bhat, Nanjangud Mohan, Satyabodh M. Kulkarni, Sathyashankara Sharma

Research output: Contribution to journalArticle

Abstract

Composites are the engineering materials, comprising two constituents: reinforcing and the matrix or binder material. the composite machining, particularly, drilling is a complex process in comparison to the machining of traditionally employed engineering structural materials. Delamination is the most prevalent integrity issue in composite drilling. In the present work, the independent variables are categorized as continuous and categorical variables. Speed and feed are chosen as the continuous variables, whereas, the drill tool diameter and material thickness are considered as categorical variables. The peel up delamination is chosen as the response. The central composite design form of RSM is employed to develop the experimental design and develop the response regression model. The developed model is then validated using an additional set of small number of experiments and the degree of affirmation is determined. The standard error obtained analytically is 5.91%. The experimental mean standard error for the randomly conducted validating experiment obtained is 4.23%. The validation shows a high degree of agreement (99.75%) between the theoretical and analytical values.

Original languageEnglish
Pages (from-to)694-702
Number of pages9
JournalInternational Journal of Mechanical and Production Engineering Research and Development
Volume9
Issue numberSpecial Issue 2
Publication statusPublished - 01-01-2019

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Polyesters
Delamination
Glass fibers
Drilling
Composite materials
Machining
Design of experiments
Binders
Experiments
Predictive analytics
fiberglass

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Cite this

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title = "Predictive analysis of peel up delamination in glass fibre reinforced polyester composite drilling",
abstract = "Composites are the engineering materials, comprising two constituents: reinforcing and the matrix or binder material. the composite machining, particularly, drilling is a complex process in comparison to the machining of traditionally employed engineering structural materials. Delamination is the most prevalent integrity issue in composite drilling. In the present work, the independent variables are categorized as continuous and categorical variables. Speed and feed are chosen as the continuous variables, whereas, the drill tool diameter and material thickness are considered as categorical variables. The peel up delamination is chosen as the response. The central composite design form of RSM is employed to develop the experimental design and develop the response regression model. The developed model is then validated using an additional set of small number of experiments and the degree of affirmation is determined. The standard error obtained analytically is 5.91{\%}. The experimental mean standard error for the randomly conducted validating experiment obtained is 4.23{\%}. The validation shows a high degree of agreement (99.75{\%}) between the theoretical and analytical values.",
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AU - Mohan, Nanjangud

AU - Kulkarni, Satyabodh M.

AU - Sharma, Sathyashankara

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AB - Composites are the engineering materials, comprising two constituents: reinforcing and the matrix or binder material. the composite machining, particularly, drilling is a complex process in comparison to the machining of traditionally employed engineering structural materials. Delamination is the most prevalent integrity issue in composite drilling. In the present work, the independent variables are categorized as continuous and categorical variables. Speed and feed are chosen as the continuous variables, whereas, the drill tool diameter and material thickness are considered as categorical variables. The peel up delamination is chosen as the response. The central composite design form of RSM is employed to develop the experimental design and develop the response regression model. The developed model is then validated using an additional set of small number of experiments and the degree of affirmation is determined. The standard error obtained analytically is 5.91%. The experimental mean standard error for the randomly conducted validating experiment obtained is 4.23%. The validation shows a high degree of agreement (99.75%) between the theoretical and analytical values.

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