Stephen Yue’s research while affiliated with McGill University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (203)


Numerical Prediction of Critical Velocity and Spray Angle Windows for Particle Adhesion in Cold Spray Using Peridynamic Simulations
  • Conference Paper

May 2025

·

2 Reads

Haijun Zhang

·

Baihua Ren

·

Stephen Yue

·

Numerical studies directly quantifying particle-substrate adhesion under different spray process parameters during impact remain scarce, primarily due to the lack of consideration for adhesion models. This study addresses this gap by investigating bonding behavior under varying spray conditions using a single-particle model with the PD numerical method, incorporating adhesion forces.







Evolution of Cold-Sprayed Copper Deposit Mechanical Properties as Function of Substrate Geometry and Heat Treatment Parameters

November 2024

·

19 Reads

Journal of Thermal Spray Technology

As cold spray transitions from a coating technology to an additive manufacturing process, the variety of part shapes and sizes is significantly increasing while the drive to optimize the mechanical properties of cold-sprayed deposits has emerged. This study investigates the effect of substrate characteristics, a variable typically neglected, on copper cold-sprayed deposit hardness and tensile properties before and after deposit heat treatment. Substrate material, shape and size were varied, resulting in a range of substrate process temperatures as evaluated using IR camera measurements. Deposits sprayed on the smallest parts, i.e., those displaying the highest temperatures, exhibited lower hardness due to spontaneous in situ annealing caused by the thermal energy rise intrinsic to the cold spray process. Smallest parts also presented the best ductility from a combination of spontaneous in situ annealing and improved interparticle cohesion. The as-sprayed deposit strength was rather optimized at an intermediate substrate size and temperature where partial spontaneous in situ annealing was combined with improved interparticle cohesion. After deposit heat treatment, differences among tested substrate sizes vanish. Deposit heat treatment at 350 °C causes softening, a decrease in strength and an increase in ductility due to the annealing effect. The sintering effect becomes predominant for deposit heat treatment at 600 °C, leading to an increase in ultimate tensile strength and further improvement in deposit ductility. This work has important implications for cold spray process scale-up, as one cannot assume the properties achieved after process optimization on small laboratory-size coupons will be maintained on larger parts.


Influence of Feedstock Powder Characteristics on the Response to Heat Treatment of Cold-Sprayed Copper Coatings

November 2024

·

15 Reads

Journal of Thermal Spray Technology

The quality of cold-sprayed copper coatings in the as-sprayed condition heavily relies on the characteristics of the feedstock powder. While previous studies have delved into the influence of particle velocity, size and surface oxides on the quality of as-sprayed coatings, little attention has been paid to investigating the heat treatment responses of coatings with distinct initial characteristics. In previous work, the effects of particle velocity, size and surface oxides on as-sprayed coating properties (i.e., microstructural characteristics, mechanical properties and electrical conductivity) were investigated. Coatings with different as-sprayed quality were produced, ranked from “best” to “worst.” The differences in properties were attributed to variations in the amounts of defects at the particle–particle interfaces (PPIs), caused by different process parameters (i.e., gas pressure) and powder characteristics (i.e., particle size) for each coating. The present study focuses on the subsequent heat treatment of these coatings under identical conditions (1 h at 350 °C, under ambient atmosphere), to monitor the evolution of their microstructural characteristics, mechanical and electrical properties. The results show that in all cases, the ductility and electrical conductivity of the coatings generally improved with heat treatment, compared to the as-sprayed condition. This is primarily attributed to the redistribution of interparticle oxides at the PPIs that improved the bonding between the particles. However, it is also indicated that the general belief that coatings that have superior properties in the as-sprayed condition will remain superior post-heat treatment is not necessarily true. It is shown that it is possible that coatings that originally had superior as-sprayed features may be surpassed by inferior ones, after heat treatment.


The heating process and dilatometer results of the GEN3 steel.
Schematic diagram of Sample 2#, 3#, and 4#.
The microstructure of steel after different heat treatments.
EBSD results of steel after different heat treatments: (a1–a4) show Inverse Pole Figure (IPF) maps for body-centered cubic (bcc) structures; (b1–b4) illustrate misorientation boundary maps with color codes: red for 2–5°, green for 5–15°, and blue for >15°; (c1–c4) phase distributions (green: fcc; red: bcc); (d1–d4) represents the KAM (kernel average misorientation maps) of the body-centered cubic (bcc) structures.
Stress–strain and work-hardening curves of steels after heat treatment.

+7

The Microstructure, Mechanical Properties, and Precipitation Behavior of 1000 MPa Grade GEN3 Steel after Various Quenching Processes
  • Article
  • Full-text available

September 2024

·

32 Reads

This study examines the microstructure, mechanical properties, and precipitation behavior of 1000 MPa grade GEN3 steel when subjected to various quenching processes, with a focus on the quench and partition (Q&P) technique. The Q&P-treated samples achieved 1300 MPa tensile strength and demonstrated superior yield strength, attributed to their refined substructure and their large amounts of precipitates. The quenched samples exhibited the thinnest martensite laths due to the highest martensite volume. Despite the as-annealed samples having the smallest grain size, the Q&P treatment resulted in optimal microstructural refinement results and a high dislocation density, reaching 1.15 × 10¹⁵ m⁻². Analysis of the precipitates revealed the presence of V8C7, M7C3, M2C, and Ti(C, N) across various heat treatments. The application of the McCall–Boyd method and the Ashby–Orowan correction model indicated that quench and tempered (Q&T) samples contained the largest volume of fine precipitates, contributing to their high yield strengths. These findings offer valuable insights for optimizing heat treatment processes to develop advanced high-strength steels for industrial applications.

Download

Cold spray - a solid-state additive manufacturing technology

August 2024

·

153 Reads

IOP Conference Series Materials Science and Engineering

Cold spray is a solid-state powder deposition technique and has evolved into an additive manufacturing process. Unlike conventional additive manufacturing technologies that rely on melting and solidification, cold spray additive manufacturing (CSAM) forms components at low temperatures at a relatively high build rate. This article introduces the technical principles, process parameters and typical microstructure of cold spray, as well as its applications in the fabrication of 3D components and damaged component repair. Current issues faced in cold spray research and future development directions in CSAM are also discussed.


Citations (61)


... To obtain the balance of accuracy and logicality and avoid overfitting problems, Sinha et al 87) transformed raw production data into features typically used in physical metallurgy, and developed artificial neural network models of as-rolled mechanical properties with feature parameters. Figs.3 ...

Reference:

Progress in modelling microstructural evolution and changes of mechanical properties for hot rolled steels -the path from semi-empirical through machine learning to industrial foundation models
Neural network prediction of the effect of thermomechanical controlled processing on mechanical properties
  • Citing Article
  • February 2024

Machine Learning with Applications

... Metallization of polymer matrix composites (PMCs) has gained significant interest within the past few decades due to its ability to enhance electrical and thermal conductivities and provide electromagnetic interference shielding, erosion resistance, or radiation protection compared to uncoated PMCs ( Ref 1,2). Previous research has established the foundation for depositing metal onto polymer matrix composites using various techniques such as vacuum depositions, electroplating, or thermal spray ( Ref 3,4). The use of metallic coatings can therefore improve the physical and thermal properties of carbon fiber-reinforced polymers (CFRPs) while maintaining their mechanical properties. ...

Effect of Carbon Fiber Orientation when Cold Spraying Metallic Powders onto Carbon Fiber Reinforced Polymers
  • Citing Conference Paper
  • May 2023

... The gun traverse speed was maintained at 1.6 mm per second to ensure sufficient substrate heating, facilitating the effective accommodation of impacting particles (Ref 55). The selected process parameters were based on prior research and established literature (Ref [56][57][58][59][60][61][62] and are summarized in Table 5. ...

Exploring surface preparation for cold spraying on polymers
  • Citing Article
  • October 2022

Surface and Coatings Technology

... Ganesan et al. [12], sprayed a Sn buffer layer which is a low melting point metal to generate a metallic interlayer subsequently coated with Cu. Fallah et al. [13], electroplated carbon fibre-reinforced polymers (CFRP) with Cu before spraying Cu powder. Rubino et al. [14], added Cu and Ti powder on the surface of glass fibre-reinforced polymers (GFRP) during the impregnation step to facilitate the adhesion of the CS Sn-Al powder mixture. ...

Properties of Multilayered Metallic Coatings Deposited on Carbon Fiber-Reinforced Polymers (CFRPs) through Electrochemical and Cold Spray Processes
  • Citing Article
  • October 2022

Journal of Thermal Spray Technology

... During the austenitizing stage, the austenitizing temperature plays a crucial role in the dissolution and reprecipitation behavior of carbides [23]. As the austenitizing temperature rises, the solubility of carbon in austenite increases, which in turn accelerates the rate of elemental diffusion. ...

Effect of austenitizing condition on mechanical properties, microstructure and precipitation behavior of AISI H13 steel
  • Citing Article
  • September 2022

Journal of Iron and Steel Research International

... In particular, the emphasis of this study is placed on comparing the APS and the HVAF processes. Ti-6Al-4V is widely used in the aerospace industry for engine part coatings (Ref 16), whereas Sn is a relatively cheap and readily available material that has successfully been sprayed onto CFRP and can serve as a point of comparison (Ref [16][17][18]. Each sample is plated via an electroless process with different metals (Ni, Cu, and Ag). ...

Pull-off Testing and Electrical Conductivity of Sn-Based Metal Powder Mixtures Cold Sprayed on Carbon Fiber-Reinforced Polymers

Journal of Thermal Spray Technology

... 1. Cold spray phenomena, such as particle impact and bonding mechanisms, and the deposition process [24,[38][39][40]. 2. Current state-of-the-art, including experimentation and numerical modelling, industry applications, current and future perspectives [5,13,20,[41][42][43][44]. 3. Novel applications, such as polymer metallisation, brittle materials and ceramic metallisation, anti-bacterial coatings, nano-materials, functional materials, and energy technologies [45][46][47][48][49][50]. ...

How to Unleash the Remarkable Potential of Cold Spray: A Perspective

Journal of Thermal Spray Technology

... However, recent research conducted by Liberati et al. (Liberati et al. 2021) demonstrated that the shotpeening effect might not be an effective mechanism in the case of cold spraying with a mixture of tin and metallic powders. A follow-up study (Liberati et al. 2022b) examined the relationship between various SC properties, concluding that coating enhancement is linked to an appropriate SC hardness range and suitable SC impact energy. ...

On the Importance of Secondary Component Properties for Cold Spray Metallization of Carbon Fiber Reinforced Polymers

Journal of Thermal Spray Technology

... This interlayer acts as a protective layer against surface erosion during the spray process, while it promotes adhesion in between the metal coating and the substrate. From literature, interlayers of co-cured copper particles with substrate, electroplated copper and cold sprayed interlayers of low melting point metals have been reported to improve coating adhesion and buildup (Ref [18][19][20][21][22][23]. Addition of a secondary metallic component of a higher hardness such as aluminum, copper and zinc to a softer metal powder such as tin is another solution that has been proven to improve the deposition process via inducing shot peening effect (Ref [24][25][26][27]. ...

Effect of Metallic Interlayer Hardness on Deposition Characteristics of Cold-Sprayed Copper Particles on Carbon Fiber-Reinforced Polymers
  • Citing Article
  • January 2022

Journal of Thermal Spray Technology

... Cao et al. [25] proposed a rolling force model based on particle swarm optimization in nuclear power Zr-4 alloy cold rolling. The neural network can predict rolling force well, but it cannot explain the reasoning process due to a lack of physical meaning [26][27][28]. In addition, it is difficult to guarantee prediction accuracy in less experimental data. ...

Multistep networks for roll force prediction in hot strip rolling mill
  • Citing Article
  • December 2021

Machine Learning with Applications