Investigating the laser metal deposition of Inconel 718 superalloy using the numerical and experimental methods

因科镍合金 材料科学 高温合金 马朗戈尼效应 激光功率缩放 流体体积法 激光器 润湿 沉积(地质) 复合材料 光学 对流 机械 流量(数学) 微观结构 地质学 古生物学 沉积物 物理 合金
作者
Mahmoud Afshari,Mehrdad Khandaei,Reza Shoja Razavi
出处
期刊:Laser Physics [IOP Publishing]
卷期号:32 (12): 126002-126002 被引量:7
标识
DOI:10.1088/1555-6611/ac9ec1
摘要

Abstract In this research, a volume of fluid (VOF) model was developed to investigate the effect of laser deposition parameters on the geometry of molten pool and deposited layer in the Inconel 718 superalloy. For this purpose, the process parameters of laser power, laser beam diameter and scanning speed were considered to estimate the geometric characteristics of the molten pool and deposited layer. In the following, the laser deposition process of Inconel 718 superalloy was carried out experimentally to validate the results of simulation. It was observed that an increase in the laser power from 100 to 400 W resulted in an improvement in the length, width and depth of molten pool, while an increase in the values of laser beam diameter (from 1 to 2 mm) and scanning speed (from 2 to 10 mm s −1 ) was associated with a reduction in the length, width and depth of molten pool. From the results of both simulation and experiments, a reduction was observed in the wetting angle of deposited layer when the values of laser power and scanning speed increased up to 400 W and 10 mm s −1 respectively, while the increase of feeding rate from 48 to 62 mgr s −1 indicated an improvement in the wetting angle. It was also observed that the maximum penetration depth was obtained in the rear part of molten pool due to Marangoni convection currents that pushed the melt toward the end of molten pool. The comparison of the experimental results and those predicted by the VOF model indicated that the model is capable of predicting the shape of deposition layer with sensible error.
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
Rebecca发布了新的文献求助10
刚刚
pinging应助愉快冰淇淋采纳,获得10
刚刚
不厌发布了新的文献求助100
刚刚
1秒前
cherry发布了新的文献求助10
1秒前
CodeCraft应助马洛采纳,获得10
2秒前
十七完成签到,获得积分10
2秒前
3秒前
兴奋汽车完成签到,获得积分10
3秒前
学就完了完成签到,获得积分10
3秒前
张志顺发布了新的文献求助10
3秒前
岁月轮回发布了新的文献求助10
3秒前
长情洙发布了新的文献求助10
3秒前
Rickstein完成签到,获得积分10
4秒前
炙热冰夏完成签到,获得积分10
4秒前
iNk应助兴奋汽车采纳,获得10
5秒前
共享精神应助kingwhitewing采纳,获得10
5秒前
5秒前
暖若安阳完成签到,获得积分20
5秒前
糕糕完成签到,获得积分10
5秒前
屈绮兰发布了新的文献求助50
5秒前
绵绵发布了新的文献求助10
6秒前
周亭完成签到,获得积分10
6秒前
6秒前
7秒前
科研顺利毕业顺利工作顺利完成签到,获得积分20
8秒前
隐形机器猫完成签到,获得积分20
8秒前
bjx完成签到,获得积分20
9秒前
9秒前
9秒前
Jasper应助西瓜采纳,获得10
9秒前
lily完成签到,获得积分10
10秒前
愉快冰淇淋完成签到,获得积分10
10秒前
10秒前
天真的和现实的电影家完成签到,获得积分10
11秒前
111完成签到,获得积分10
12秒前
大力的契完成签到,获得积分10
12秒前
12秒前
QQ完成签到,获得积分10
12秒前
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
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 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762