Ablation behavior and mechanisms of high-entropy rare earth titanates (Y0.2Gd0.2Ho0.2Er0.2Yb0.2)2Ti2O7 coating deposited by plasma spraying technology

Zhu, Saisai; Zhu, Jinpeng; Ye, Songbo; Zhang, Yaning; Zhang, Songtao; Yang, Kaijun; Li, Mingliang; Zou, Han; Wang, Hailong; He, Jilin

doi:10.1016/j.surfcoat.2024.130414

Cited by 22 publications

(2 citation statements)

References 37 publications

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“…It generates residual stresses and distortion in the weld and base metal. In last few decades significant number of research have been carried out aiming at reducing residual stress and distortion [5][6][7][8]. It is very important to predict these residual stresses and distortion problems prior to the actual welding process [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Computational investigation of plasma arc welding process for aluminium alloys

Hossain,

Bhowmik,

Pattanaik

et al. 2024

Eng. Res. Express

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Thermal stress is a very common phenomenon that occurs at the welded joint. Determination of the same at the joint is however difficult due to inhomogeneity of the weld joint metals and spreading of heat to the surroundings from the Heat Affected Zone (HAZ). Thermal stress induced at the welded joint changes the microstructure of grains which affects the mechanical properties of the welded material. Due to this, cracks may appear in the joint leading to failure of the weld. In the present study, three-dimensional model of two types of welded joint, i.e., Tee Joint and lap joint of two plates having dimensions 100 mm X 75 mm X 5 mm are prepared using ANSYS Workbench 2020 R2. Hex dominant meshing is chosen in order to have clear picture of the spread of temperature over the entire region. The change of Residual stress with variation of welding current and keeping welding voltage constant is also observed for weld joint made of Aluminium Alloy. In this study, conduct steady-state thermal analysis and structural analysis on an aluminium alloy 6063 to assess von Mises stress, von Mises strain, and deformation distribution induced by heating. Evaluate various welding joints to identify the most effective technique.

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Section: Introductionmentioning

confidence: 99%

Computational investigation of plasma arc welding process for aluminium alloys

Hossain,

Bhowmik,

Pattanaik

et al. 2024

Eng. Res. Express

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“…1. Initially, an enhanced understanding of fundamental phenomena and principles has been significantly advanced by experimental characterization techniques [6]. Various experimental methods have been employed to investigate the microstructure, including X-ray diffraction (XRD) [7], differential scanning calorimetry analysis (DSC) [8], scanning electron microscope (SEM) [9], transmission electron microscope (TEM) [10], small angle X-ray scattering (SAXS) [11] and atomic probe (APT) [12].…”

Section: Introductionmentioning

confidence: 99%

Multiscale Simulation of Microstructure Evolution during Preparation and Service Processes of Physical Vapor Deposited c-TiAlN Coatings

Long,

Zhong,

Zhang

et al. 2024

CMC

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Physical Vapor Deposited (PVD) TiAlN coatings are extensively utilized as protective layers for cutting tools, renowned for their excellent comprehensive performance. To optimize quality control of TiAlN coatings for cutting tools, a multi-scale simulation approach is proposed that encompasses the microstructure evolution of coatings considering the entire preparation and service lifecycle of PVD TiAlN coatings. This scheme employs phasefield simulation to capture the essential microstructure of the PVD-prepared TiAlN coatings. Moreover, cutting simulation is used to determine the service temperature experienced during cutting processes at varying rates. Cahn-Hilliard modeling is finally utilized to consume the microstructure and service condition data to acquaint the microstructure evolution of TiAlN coatings throughout the cutting processes. This methodology effectively establishes a correlation between service temperature and its impact on the microstructure evolution of TiAlN coatings. It is expected that the present multi-scale numerical simulation approach will provide innovative strategies for assisting property design and lifespan prediction of TiAlN coatings.

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