Investigation of the microstructure and mechanical performance of bimetal components fabricated using CMT-based wire arc additive manufacturing

材料科学 双金属 微观结构 极限抗拉强度 残余应力 合金 焊接 复合材料 包层(金属加工) 复合数 冶金
作者
Shaohua Han,Zhongzhong Zhang,Zhisen Liu,Hong Zhang,Dingqi Xue
出处
期刊:Materials research express [IOP Publishing]
卷期号:7 (11): 116525-116525 被引量:13
标识
DOI:10.1088/2053-1591/abcb4b
摘要

Abstract Traditionally, wear-resistant components are manufactured by cladding hard facing material on the base metal. This production process is typically complicated, expensive, and time-consuming. This study proposes a method of fabricating components with high wear resistance requirements utilizing cold metal transfer based wire and arc additive manufacturing with hard facing welding wire as the consumable material. Thin-walled and block components were manufactured by depositing a combination of a low alloy steel, ER80S-G, and a hard facing material, MF6–55GP. Microstructure characterization and mechanical properties (hardness, tensile and Block-on-Ring wear test) were performed. The results revealed that the ER80S-G/MF6–55GP bimetal components were able to be fused with no detectable defects near the border. As the deposited height was increased, the residual stress also increased; this internal residual stress combined with the external tensile load lead to a very low tensile strength of 447.79 ± 24.32 MPa of the ER80S-G/MF6-55GP/ER80S-G sandwich structure. The microstructures, constituent phases, and hardness distributions differ greatly among the layers due to their different thermal histories. The wear weight loss varies as the load condition changes for both the MF6-55G and Cr12MoV steels. Compared to Cr12MoV, MF6-55GP weld metal exhibits better wear resistance at higher loads in dry sliding wear tests.
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
丘比特应助吕吕采纳,获得10
1秒前
852应助LinWu采纳,获得10
1秒前
常威正在打来福完成签到,获得积分10
2秒前
2秒前
欣喜的成败完成签到,获得积分20
3秒前
奇异果熊猫人完成签到,获得积分10
3秒前
morena发布了新的文献求助10
3秒前
陈俊杰发布了新的文献求助10
4秒前
认真代曼发布了新的文献求助10
5秒前
6秒前
ying发布了新的文献求助10
6秒前
8秒前
Johnny发布了新的文献求助10
9秒前
10秒前
zichen完成签到 ,获得积分20
10秒前
LinWu发布了新的文献求助10
13秒前
14秒前
14秒前
雅哈发布了新的文献求助10
14秒前
tinner完成签到,获得积分10
16秒前
幽默的老师完成签到,获得积分10
16秒前
ma3501134992应助爱我不上火采纳,获得10
16秒前
枫y发布了新的文献求助10
17秒前
暗眸发布了新的文献求助10
18秒前
zichen关注了科研通微信公众号
18秒前
在水一方应助欣喜谷槐采纳,获得10
22秒前
wfaesd完成签到 ,获得积分10
23秒前
23秒前
玻尿酸完成签到,获得积分10
23秒前
wz完成签到,获得积分10
24秒前
雅哈完成签到,获得积分10
26秒前
方方发布了新的文献求助30
27秒前
Lucas应助gww采纳,获得10
27秒前
28秒前
青柠完成签到 ,获得积分10
28秒前
星辰大海应助luo采纳,获得10
29秒前
Orange应助Johnny采纳,获得10
29秒前
30秒前
科研通AI6.3应助小金鱼儿采纳,获得100
34秒前
义气雁菡发布了新的文献求助10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 6443669
求助须知:如何正确求助?哪些是违规求助? 8257473
关于积分的说明 17587094
捐赠科研通 5502370
什么是DOI,文献DOI怎么找? 2900945
邀请新用户注册赠送积分活动 1877987
关于科研通互助平台的介绍 1717534