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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Reuben, Bob
Heriot-Watt University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (32/32 displayed)
- 2023Laser-Induced Forward Transfer of Ni-rich NiTi Alloys for Shape Memory Applicationscitations
- 2022Laser induced forward transfer of NiTi deposits for functionally graded SMA components
- 2021Experimental investigation using acoustic emission technique for quasi-static cracks in steel pipes assessmentcitations
- 2018Flow noise identification using acoustic emission (AE) energy decomposition for sand monitoring in flow pipelinecitations
- 2017Dynamic instrumented palpation (DIP) - a new method for soft tissue quality assessment: application to prostate disease diagnosiscitations
- 2017Quantitative mechanical assessment of the whole prostate gland ex vivo using dynamic instrumented palpationcitations
- 2016Monitoring acoustic emission (AE) energy of abrasive particle impacts in a slurry flow loop using a statistical distribution modelcitations
- 2015Development of a novel actuator for the dynamic palpation of soft tissue for use in the assessment of prostate tissue qualitycitations
- 2015Monitoring acoustic emission (AE) energy in slurry impingement using a new model for particle impactcitations
- 2013Transmission of acoustic emission in bones, implants and dental materialscitations
- 2012Predicting acoustic emission attenuation in small steel blocks using a ray tracing techniquecitations
- 2012Statistical distribution models for monitoring acoustic emission (AE) energy of abrasive particle impacts on carbon steelcitations
- 2012Replacing diamond cutting tools with CBN for efficient nanometric cutting of siliconcitations
- 2012Molecular dynamics simulation model for the quantitative assessment of tool wear during single point diamond turning of cubic silicon carbidecitations
- 2012Acoustic emission monitoring of abrasive particle impacts on carbon steelcitations
- 2012The effect of coping/veneer thickness on the fracture toughness and residual stress of implant supported, cement retained zirconia and metal-ceramic crownscitations
- 2011Atomistic aspects of ductile responses of cubic silicon carbide during nanometric cuttingcitations
- 2011Indentation testing and its acoustic emission response: applications and emerging trendscitations
- 2011An improved measurement of Vickers indentation behaviour through enhanced instrumentationcitations
- 2011AE Monitoring and Analysis of HVOF Thermal Spraying Processcitations
- 2008Assessment of Surface Residual Stresses Generated during Machining of Metastable Austenitic Stainless Steel using Acoustic Emission
- 2006Compressive stress-strain behaviour of cast dental restorations in relation to luting cement distribution
- 2006Interferometric sensors for application in the bladder and the lower urinary tractcitations
- 2006Biomechanical properties of articular cartilage as a standard for biologically integrated interfaces
- 2006Application of acoustic emission for monitoring the HVOF thermal spraying processcitations
- 2005The effects of progressive wear on the frequency characteristic of acoustic emission acquired during face millingcitations
- 2005AE mapping of engines for spatially located time seriescitations
- 2004Design, manufacture and testing of a low-cost micro-channel cooling device
- 2004Acoustic emission from the tension fatigue of glass fibre reinforced plasticscitations
- 2004A new method for waveform analysis for estimating AE wave arrival times using wavelet decompositioncitations
- 2002Toward a better understanding of morphology changes in solders using phase field theories: Quantitative modeling and experimental verification
- 2000Adaptability of a tool wear monitoring system under changing cutting conditionscitations
Places of action
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article
Application of acoustic emission for monitoring the HVOF thermal spraying process
Abstract
<p>This research aims to characterise and quantify the acoustic emission (AE) generated during the high velocity oxy-fuel (HVOF) thermal spraying process, recorded using piezoelectric AE sensors. The HVOF process is very complex involving high temperature turbulent flow through a nozzle with entrained particles, the projection of these particles, and their interaction with the target surface. Process parameters such as gun speed, oxy-fuel pressure and powder specification affect various characteristics of the coating, including thermal residual stresses; the lamellar microstructure and the topology and geometry of pores, all formed when the fused powder hits the surface, forming "splats". It is widely acknowledged in the thermal spray industry that existing quality control techniques and testing techniques need to be improved. New techniques which help to understand the effects of coating process parameters on the characteristics of the coating are therefore of value, and it was anticipated that recording the AE produced when the fused particles contact the surface would aid this understanding. As a first stage, we demonstrated here that AE associated with particle impact can, in fact, be discerned in the face of the considerable airborne and structure-borne noise. In order to do this, a new test method using a masking sheet with slits of varying size was developed. Thermal spraying was carried out for a range of spray gun speeds and process parameters. The AE was measured using a broad band AE sensor positioned on the back of the sample as the spot was traversed across it. The results show that the amplitude and energy of the AE signals is related to the spray gun speed, powder used and the oxy-fuel pressure. Using a simple geometrical model for particle impact, the measured AE was found to vary with the energy and number of particles impacting on the sample in a predictable way. © 2006 Trans Tech Publications.</p>