亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Investigating the Impact of PVD Process Parameters on Residual Stress Distribution: A Multiscale Numerical Analysis Approach

残余应力 过程(计算) 残余物 压力(语言学) 计算机科学 分布(数学) 材料科学 算法 冶金 数学 语言学 操作系统 数学分析 哲学
作者
S. Jan,Abba Abdulhamid Abubakar,Abul Fazal M. Arif,Mohammad Shariful Islam Chowdhury,Syed Sohail Akhtar,Bipasha Bose,Khaled S. Al-Athel
标识
DOI:10.1115/imece2024-145902
摘要

Abstract Residual stress in thin PVD coatings arises from a combination of growth stress and thermal stress. Despite the lower processing temperature, thermal mismatch stresses can be significant due to variations in physio-thermal properties between the coating and substrate materials. Understanding the underlying physics of the deposition process and resulting stresses, particularly thermal stresses within the coating-substrate system, is paramount. Key physical parameters of both the coating and the substrate, such as coefficient of thermal expansion and elastic modulus, significantly influence thermal stresses. There is a demand for a comprehensive methodology in thermo-mechanical design, specifically for layered coatings, that should complement experimental procedures used to evaluate coating performance. Although analytical models can handle linear-elastic or simple elastic-plastic materials for thermal stress prediction, numerical techniques such as finite element analysis (FEA) can address more general 2D or 3D problems in simulating thermal stresses within coating-substrate systems. This study employs a multi-scale numerical approach to estimate the residual stress distribution within the coating-substrate system. Validation of the numerical model is conducted against experimental findings concerning a TiB2 - Tungsten Carbide coating-substrate configuration. The validated model is then utilized to explore the influence of process parameters on residual stress distribution across various coating-substrate systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
7秒前
7秒前
10秒前
明寒发布了新的文献求助10
12秒前
占稚晴发布了新的文献求助10
14秒前
16秒前
22秒前
可爱的柜子完成签到,获得积分10
34秒前
1分钟前
1分钟前
科研不通发布了新的文献求助10
1分钟前
NattyPoe发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
SuiWu应助NattyPoe采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
哭泣灯泡完成签到,获得积分10
1分钟前
明寒完成签到,获得积分10
2分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
2分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
2分钟前
2分钟前
Akim应助科研通管家采纳,获得30
2分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
2分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
2分钟前
2分钟前
3分钟前
4分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
4分钟前
英俊的铭应助科研通管家采纳,获得10
4分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
4分钟前
嘻嘻哈哈应助科研通管家采纳,获得10
4分钟前
科研通AI6.3应助ambacs采纳,获得10
4分钟前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6291863
求助须知:如何正确求助?哪些是违规求助? 8109812
关于积分的说明 16967108
捐赠科研通 5355391
什么是DOI,文献DOI怎么找? 2845667
邀请新用户注册赠送积分活动 1823020
关于科研通互助平台的介绍 1678576