Preliminary tests on additive-manufactured Al-Sc specimens for the setup of a numerical model for Laser Shock Peening

材料科学 喷丸 残余应力 激光喷丸 极限抗拉强度 喷丸 休克(循环) 激光器 航空航天 疲劳极限 结构工程 巴黎法 复合材料 断裂力学 工程类 裂缝闭合 光学 医学 物理 内科学 航空航天工程
作者
Nicola Zavatta,Enrico Troiani
出处
期刊:Journal of physics [IOP Publishing]
卷期号:2526 (1): 012044-012044 被引量:1
标识
DOI:10.1088/1742-6596/2526/1/012044
摘要

Abstract Aluminum-Scandium alloys offer a great potential in aerospace applications due their high corrosion resistance and improved strength properties. Furthermore, these alloys have been qualified for laser additive manufacturing (AM), producing parts with static strengths rivalling their conventionally manufactured counterparts. However, laser processing also results in large residual stresses that can severely affect fatigue properties and result in geometric distortion. A proven method for reducing the fatigue-related problems in metallic structures is to drive compressive residual stresses into the affected area by means of Laser Shock Peening (LSP). This surface treatment is very effective in bulk structures, improving life performances of fatigue-sensitive aeronautical components, such as jet engines turbine blades or helicopter gearboxes. On the other hand, quite a limited number of studies has been presented on the effect of LSP on fatigue crack growth in thin components and laser AM structures. This work presents first the results of preliminary tensile tests on additive manufactured Al-Sc specimens. The tensile strengths of as-built and heat-treated samples are compared. Then, a reliable and computationally time-effective numerical model of laser peening is reviewed, referring to case studies investigated earlier. In view of applying LSP to additive manufactured Al-Sc components, the effects of different laser parameters and geometries are discussed. Finally, the possible drawbacks of the LSP treatment are addressed, in order to exploit its full potential in increasing the fatigue life of AM components.

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
太叔觅松完成签到,获得积分10
1秒前
CFD应助QianQianONE采纳,获得10
1秒前
日桉发布了新的文献求助10
1秒前
1秒前
爱博发布了新的文献求助10
2秒前
2秒前
hao发布了新的文献求助10
3秒前
4秒前
蟹鱼橙子发布了新的文献求助10
5秒前
5秒前
奇点完成签到,获得积分10
5秒前
6秒前
6秒前
科研通AI6.2应助alex_angew采纳,获得30
6秒前
山长子完成签到,获得积分10
8秒前
Yii发布了新的文献求助10
8秒前
8秒前
竹子完成签到,获得积分10
9秒前
9秒前
ikun发布了新的文献求助10
9秒前
9秒前
王小龙完成签到,获得积分10
9秒前
认真乐瑶关注了科研通微信公众号
10秒前
水饺完成签到,获得积分10
11秒前
露露发布了新的文献求助30
11秒前
斯文败类应助科研通管家采纳,获得10
12秒前
星辰大海应助hao采纳,获得10
12秒前
盛清让完成签到,获得积分10
12秒前
12秒前
无花果应助科研通管家采纳,获得10
12秒前
Jasper应助科研通管家采纳,获得10
13秒前
13秒前
在水一方应助Tony采纳,获得10
13秒前
13秒前
脑洞疼应助科研通管家采纳,获得30
13秒前
生动的猴子应助qibing Gu采纳,获得10
14秒前
大个应助科研通管家采纳,获得10
14秒前
superchen发布了新的文献求助10
14秒前
14秒前
完美世界应助科研通管家采纳,获得10
14秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6862666
求助须知:如何正确求助?哪些是违规求助? 8565814
关于积分的说明 18214724
捐赠科研通 6229748
什么是DOI,文献DOI怎么找? 3048165
关于科研通互助平台的介绍 2048870
邀请新用户注册赠送积分活动 2025799