2019
DOI: 10.1016/j.surfcoat.2019.03.041
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Nanomechanical properties of thermal arc sprayed coating using continuous stiffness measurement and artificial neural network

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Cited by 14 publications
(8 citation statements)
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“…Nanoindentation tester (Nano-Indentor, Agilent-XP/G200, Nano-Indentor XP, Agilent, Milpitas, CA, USA) with a load precision of 50 nN was also used to measure nano-hardness and modulus of the coatings. The continuous stiffness method (CSM) [34] was adopted to obtain displacement-hardness values from initial to final indentation depth. The average hardness was calculated by hardness-displacement curves collected at the indentation depth of 30-300 nm from six random sites.…”
Section: Coating Characterizationmentioning
confidence: 99%
“…Nanoindentation tester (Nano-Indentor, Agilent-XP/G200, Nano-Indentor XP, Agilent, Milpitas, CA, USA) with a load precision of 50 nN was also used to measure nano-hardness and modulus of the coatings. The continuous stiffness method (CSM) [34] was adopted to obtain displacement-hardness values from initial to final indentation depth. The average hardness was calculated by hardness-displacement curves collected at the indentation depth of 30-300 nm from six random sites.…”
Section: Coating Characterizationmentioning
confidence: 99%
“…Investigating the coating mechanical properties is paramount to improve its performance and reliability in engineering application. In recent years, nanoindentation has been used extensively to investigate the mechanical properties of the thermal sprayed coating materials due to its ability to measure material responses at the microscale [3][4][5][6] . When coupled with statistical indentation method, nanoindentation is capable of providing insight into the mechanical behaviour of heterogeneous material such as thermal sprayed composite coating that has complex microstructures and multi-phase components interactions 4,7,8 .…”
Section: The Transversely Isotropic Behaviour Of Thermal Sprayed Alummentioning
confidence: 99%
“…Existing researches 5,21 showed that indentation measurement has implicit response parameters derived from the load and unload curve from nanoindentation which can be inter-related using the dimensional function approach based on the work by Cheng and Cheng 22 . Conventionally, the indentation modulus (M) and hardness (H) results are calculated from this force and displacement response using the popular Oliver-Pharr method 23,24 .…”
Section: Data Acquisitionmentioning
confidence: 99%
“…Dimensional functions created using measured stiffness with indentation force and depth has been shown to relate to the material's elastic-plastic properties [23,24]. Solving these complex dimensional functions can be achieved by making an assumption about the contact condition using a reverse algorithm [21,24,25] or using an artificial-neural-network tool [26].…”
Section: Theoretical Analysismentioning
confidence: 99%
“…These relationships can be further extended to the material's elastic and plastic parameters, such as elastic modulus, yield strength, and work-hardening exponent using a dimensional-analysis approach [16,26]. Cheng and Cheng [28] proposed to relate indentation force (F) and stiffness (S) with mechanical properties using dimensional functions, as shown in Equations (4) and (5).…”
Section: Theoretical Analysismentioning
confidence: 99%