Optimisation of interface roughness and coating thickness to maximise coating-substrate adhesion - A failure prediction and reliability assessment modelling
Authors: Nazir, M.H., Khan, Z.A. and Stokes, K.
Journal: Journal of Adhesion Science and Technology
Volume: 29
Issue: 14
Pages: 1415-1445
eISSN: 1568-5616
ISSN: 0169-4243
DOI: 10.1080/01694243.2015.1026870
Abstract:A mathematical model for failure prediction and reliability assessment of coating-substrate system is developed based on a multidisciplinary approach. Two models for diffusion and bending of bi-layer cantilever beam have been designed separately based on the concepts of material science and solid mechanics respectively. Then, these two models are integrated to design an equation for debonding driving force under mesomechanics concepts. Mesomechanics seeks to apply the concepts of solid mechanics to microstructural constituent of materials such as coatings. This research takes the concepts of mesomechanics to the next level in order to predict the performance and assess the reliability of coatings based on the measure of debonding driving force. The effects of two parameters i.e. interface roughness and coating thickness on debonding driving force have been analysed using finite difference method. Critical/threshold value of debonding driving force is calculated which defines the point of failure of coating-substrate system and can be used for failure prediction and reliability assessment by defining three conditions of performance i.e. safe, critical and fail. Results reveal that debonding driving force decreases with an increase in interface roughness and coating thickness. However, this is subject to condition that the material properties of coating such as diffusivity should not increase and Youngs modulus should not decrease with an increase in the interface roughness and coating thickness. The model is based on the observations recorded from experimentation. These experiments are performed to understand the behaviour of debonding driving force with the variation in interface roughness and coating thickness.
https://eprints.bournemouth.ac.uk/21842/
Source: Scopus
Optimisation of interface roughness and coating thickness to maximise coating-substrate adhesion - a failure prediction and reliability assessment modelling
Authors: Nazir, M.H., Khan, Z.A. and Stokes, K.
Journal: JOURNAL OF ADHESION SCIENCE AND TECHNOLOGY
Volume: 29
Issue: 14
Pages: 1415-1445
eISSN: 1568-5616
ISSN: 0169-4243
DOI: 10.1080/01694243.2015.1026870
https://eprints.bournemouth.ac.uk/21842/
Source: Web of Science (Lite)
Optimisation of Interface Roughness and Coating Thickness to Maximise Coating-Substrate Adhesion - A Failure Prediction and Reliability Assessment Modelling
Authors: Nazir, M., Khan, Z. and Stokes, K.
Journal: Journal of Adhesion Science and Technology
Volume: 29
Issue: 14
Pages: 1415-1445
Publisher: Taylor and Francis
DOI: 10.1080/01694243.2015.1026870
Abstract:This paper addresses a novel modelling technique which is based on a multidisciplinary approach to predict the coating-substrate adhesion. It proposes new equations governing coating debondment that combines material science concepts with and solid mechanics concepts. The effects of two parameters i.e. interface roughness λ and coating thickness h on coating-substrate adhesion has been analysed. The reliability of newly developed technique has been validated by comparison with the experimental results.
https://eprints.bournemouth.ac.uk/21842/
Source: Manual
Preferred by: Zulfiqar Khan
Optimisation of Interface Roughness and Coating Thickness to Maximise Coating-Substrate Adhesion - A Failure Prediction and Reliability Assessment Modelling
Authors: Nazir, M.H., Khan, Z.A. and Stokes, K.
Journal: Journal of Adhesion Science and Technology
ISSN: 0169-4243
Abstract:This paper addresses a novel modelling technique which is based on a multidisciplinary approach to predict the coating-substrate adhesion. It proposes new equations governing coating debondment that combines material science concepts with and solid mechanics concepts. The effects of two parameters i.e. interface roughness λ and coating thickness h on coating-substrate adhesion has been analysed. The reliability of newly developed technique has been validated by comparison with the experimental results.
https://eprints.bournemouth.ac.uk/21842/
Source: BURO EPrints