Numerical simulation and experimental investigation on three-dimensional modelling of single-track geometry and temperature evolution by laser cladding

包层(金属加工) 材料科学 激光器 激光功率缩放 轨道几何 衰减 高斯分布 光学 磁道(磁盘驱动器) 机械 复合材料 机械工程 物理 工程类 量子力学
作者
Jiali Gao,Cheng‐Ying Wu,Yunbo Hao,Xiangcong Xu,Liang Guo
出处
期刊:Optics and Laser Technology [Elsevier BV]
卷期号:129: 106287-106287 被引量:94
标识
DOI:10.1016/j.optlastec.2020.106287
摘要

Investigation of the temperature distribution law in molten pool during the laser cladding process and the varying principle of the forming parts’ cross section sizes to obtain optimum process parameters is essential to improve the precision of deposited parts. In this paper, a three-dimensional numerical single-track processing prediction model (STPPM) in laser cladding was established. The Gaussian distribution heat source was applied. Based on the element birth and death method, the transient temperature field and the geometry of the cladding could be calculated simultaneously by considering the temperature rise of the powder particles, laser energy attenuation and the material phase transition. With the prediction error less than 6.6% for track width and track height, approximately 3.1% for the maximum temperature, numerical simulation results of the track profile agreed well with the experiment results for 316 stainless steel material, indicating the validity of the STPPM. The effects of laser power and scanning speed on the geometry and temperature distribution of cladding were analyzed on the basis of the STPPM and experimentally proved. The results show that track height, width and the temperature in molten pool decreased accordingly with the increase of scanning speed. In addition, track width and the temperature in molten pool increased with the laser power while the track height stabilized. Research in this paper would contribute to minimizing the number of tentative experiments in laser cladding process and the experimental costs, meanwhile improving deposition efficiency during the processing.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
3秒前
笨笨过客完成签到,获得积分10
4秒前
慕青应助Okayoooooo采纳,获得10
4秒前
4秒前
zjz发布了新的文献求助20
8秒前
合适台灯发布了新的文献求助10
9秒前
小白发布了新的文献求助200
10秒前
今后应助baby3480采纳,获得10
10秒前
情怀应助小眼儿采纳,获得10
11秒前
12秒前
damnxas完成签到,获得积分10
14秒前
15秒前
桐桐应助热心小松鼠采纳,获得10
16秒前
Hello应助热心小松鼠采纳,获得10
16秒前
Ava应助热心小松鼠采纳,获得10
16秒前
科目三应助热心小松鼠采纳,获得10
16秒前
Owen应助热心小松鼠采纳,获得10
16秒前
丘比特应助热心小松鼠采纳,获得10
16秒前
情怀应助热心小松鼠采纳,获得10
16秒前
小蘑菇应助热心小松鼠采纳,获得10
16秒前
深情安青应助热心小松鼠采纳,获得10
16秒前
科目三应助ysy采纳,获得10
16秒前
思源应助热心小松鼠采纳,获得10
16秒前
17秒前
dd发布了新的文献求助10
19秒前
华贞完成签到,获得积分10
19秒前
20秒前
AlanLi发布了新的文献求助10
20秒前
CodeCraft应助cc采纳,获得10
23秒前
风趣青槐完成签到,获得积分10
23秒前
Ava应助honglingjing采纳,获得10
24秒前
shine完成签到,获得积分10
24秒前
努力学习完成签到,获得积分10
24秒前
小眼儿发布了新的文献求助10
25秒前
25秒前
26秒前
27秒前
27秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3966742
求助须知:如何正确求助?哪些是违规求助? 3512237
关于积分的说明 11162366
捐赠科研通 3247107
什么是DOI,文献DOI怎么找? 1793690
邀请新用户注册赠送积分活动 874549
科研通“疑难数据库(出版商)”最低求助积分说明 804432