A semi-analytical model for rapid prediction of residual stress and deformation in laser powder bed fusion

残余应力 变形(气象学) 材料科学 残余物 流离失所(心理学) 融合 压力(语言学) 机械 计算机科学 算法 复合材料 物理 心理学 语言学 哲学 心理治疗师
作者
Zhijian Li,Hong‐Liang Dai,Yuan Yao,Jinling Liu
出处
期刊:Applied Mathematical Modelling [Elsevier]
卷期号:125: 672-686 被引量:11
标识
DOI:10.1016/j.apm.2023.10.024
摘要

The build-up of residual stress and the resultant deformation in laser powder bed fusion (LPBF) play vital roles in the performance of the as-built parts. Due to the complex physical phenomena across multi-scales during LPBF, the accurate prediction of residual stress and the deformation related to the temperature variation have exposed the requirement for the computationally efficient modeling of thermo-mechanical field evolution. However, an efficient solution scheme for residual stress and deformation histories is still challenging. In this paper, a three-dimensional thermo-mechanical model is developed based on the semi-analytical method. The complex physical phenomena that occur during LPBF and a moving volumetric heat source is considered in the model. The residual stress and deformation evolutions are predicted using the separation of variables and the state space method. The accuracy of the proposed model is verified by the comparison with the previous prediction in the literature. The effect of the process parameters, geometrical parameters, and laser loads on the history and distribution of residual stress and displacement within the LPBF-printed parts is also investigated. The results show that residual stress and displacement increase with higher energy densities and the elevated length-to-thickness ratio of printed parts. In addition, it is shown that the computational cost of the proposed model is highly small, which can be served as an effective path for designing and guiding the manufacturing of parts via LPBF.
最长约 10秒,即可获得该文献文件

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
1秒前
1秒前
No发布了新的文献求助10
1秒前
害怕的果汁完成签到,获得积分10
2秒前
3秒前
斯文又槐完成签到,获得积分10
3秒前
跳跃若风发布了新的文献求助10
4秒前
Powerfulg完成签到,获得积分10
4秒前
Let It Be完成签到,获得积分10
4秒前
浩二完成签到,获得积分10
5秒前
6秒前
6秒前
天天快乐应助yao采纳,获得10
8秒前
大冬瓜发布了新的文献求助10
8秒前
浩二发布了新的文献求助10
8秒前
8秒前
9秒前
April完成签到 ,获得积分10
9秒前
10秒前
10秒前
10秒前
Lzh发布了新的文献求助10
11秒前
11秒前
科研通AI5应助cc采纳,获得30
14秒前
NexusExplorer应助南昌黑人采纳,获得10
14秒前
green发布了新的文献求助30
14秒前
跳跃若风发布了新的文献求助10
15秒前
15秒前
打打应助Seldomyg采纳,获得10
15秒前
suliang发布了新的文献求助10
15秒前
15秒前
傲娇松鼠完成签到,获得积分20
16秒前
16秒前
ah完成签到,获得积分10
17秒前
dou发布了新的文献求助10
17秒前
科研通AI5应助大冬瓜采纳,获得10
17秒前
辉常幸运发布了新的文献求助10
17秒前
达雨完成签到,获得积分20
18秒前
铁头完成签到 ,获得积分10
18秒前
jy完成签到,获得积分20
19秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555160
求助须知:如何正确求助?哪些是违规求助? 3130863
关于积分的说明 9388950
捐赠科研通 2830329
什么是DOI,文献DOI怎么找? 1555932
邀请新用户注册赠送积分活动 726345
科研通“疑难数据库(出版商)”最低求助积分说明 715734