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Data-Driven Optimization of HVAF Spraying Parameters: Integrating Data Augmentation and Explainable Machine Learning

https://doi.org/10.2139/ssrn.5537462
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Strengthened Peening Effect on Metallurgical Bonding Formation in Cold Spray Additive Manufacturing
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Cold Gas Spraying of Nickel-Titanium Coatings for Protection Against Cavitation
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Implementation of Artificial Neural Networks for Forecasting the HVOF Spray Process and HVOF Sprayed Coatings
inferredcites →https://doi.org/10.1007/s11666-023-01659-2openalex-snapshot
The Potential of High-Velocity Air-Fuel Spraying (HVAF) to Manufacture Bond Coats for Thermal Barrier Coating Systems
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Investigation of stand-off distance effect on structure, adhesion and hardness of copper coatings obtained by the APS technique
inferredcites →https://doi.org/10.1016/j.compind.2019.01.001openalex-snapshot
Generative adversarial networks for data augmentation in machine fault diagnosis
inferredcites →https://doi.org/10.1016/j.corsci.2010.12.022openalex-snapshot
Study of structure and corrosion resistance of Fe-based amorphous coatings prepared by HVAF and HVOF
inferredcites →https://doi.org/10.1016/j.dajour.2023.100331openalex-snapshot
A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
inferredcites →https://doi.org/10.1016/j.jmst.2025.04.073openalex-snapshot
Achieving superior corrosion resistance in HVAF-sprayed Fe-based amorphous alloy coatings through data-driven machine learning
inferredcites →https://doi.org/10.1016/j.surfcoat.2019.06.076openalex-snapshot
Study of the corrosion and cavitation resistance of HVOF and HVAF FeCrMnSiNi and FeCrMnSiB coatings
inferredcites →https://doi.org/10.1016/j.surfcoat.2022.128898openalex-snapshot
Effects of HVOF spray parameters on porosity and hardness of 316L SS coated Mg AZ80 alloy
inferredcites →https://doi.org/10.1016/s0009-2509(02)00616-4openalex-snapshot
Modeling and analysis of HVOF thermal spray process accounting for powder size distribution
inferredcites →https://doi.org/10.1016/s0921-5093(97)00759-4openalex-snapshot
A study of high velocity oxy-fuel thermally sprayed tungsten carbide based coatings. Part 1: Microstructures
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Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
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Extreme learning machine and support vector regression wear loss predictions for magnesium alloys coated using various spray coating methods
inferredcites →https://doi.org/10.1109/tpami.2022.3185773openalex-snapshot
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot
Machine learning: Trends, perspectives, and prospects
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1186/s40537-024-00905-wopenalex-snapshot
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
inferredcites →https://doi.org/10.1561/2200000089openalex-snapshot
Dynamical Variational Autoencoders: A Comprehensive Review
inferredcites →https://doi.org/10.3390/coatings15030355openalex-snapshot
The Role of HVAF Nozzle Design and Process Parameters on In-Flight Particle Oxidation and Microstructure of NiCoCrAlY Coatings
inferredcites →https://doi.org/10.3390/coatings7080125openalex-snapshot
Process Parameter Settings and Their Effect on Residual Stresses in WC/W2C Reinforced Iron-Based Arc Sprayed Coatings
inferredcites →https://doi.org/10.3934/matersci.2023037openalex-snapshot
Review of effective techniques for surface engineering material modification for a variety of applications
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