亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Evaluation of Metallic Parts Defects to Determine Repair Process Strategies through Laser Metal Deposition

过程(计算) 沉积(地质) 机械工程 计算机科学 材料科学 自动化 点(几何) 工程类 几何学 古生物学 数学 沉积物 生物 操作系统
作者
M. Cruz,Daniel Afonso,Miguel Oliveira
出处
期刊:Key Engineering Materials 卷期号:958: 77-87
标识
DOI:10.4028/p-h4lzmq
摘要

With technological advances, additive manufacturing processes have been gaining prominence in several industrial areas including maintenance, repair, and overhaul (MRO) processes. A process with great potential for repairing and rebuilding metal parts is laser metal deposition (LMD) technology. Despite the high potential, LMD implementation in the repair industry is not straightforward, due to the geometry variability of parts and damages to be repaired. This paper presents a repairability study that evaluates the remaining volume of the repair of different types of damages in AISI 316L parts by LMD, and determines the most appropriate deposition strategies to adapt to the repair process. This study involves the characterization and classification of common defects in metallic parts and the development of a design of experiments, in which, given the damage geometry, volume, and location, the best repair toolpath to be adopted and the ideal parameterization for the repair process are determined. The ability to correct part damage is assessed from a geometric, mechanical and energetic approach, and explores the possibility of including LMD in an adaptive and intelligent MRO system. The result of this work establishes a new deposition strategy approach based on a modified contour-parallel deposition strategy for repairing metal parts. This study also demonstrates that in surface damage cases, a fixed point strategy is highly effective, especially when using higher laser power values and larger laser spot diameters, enabling an easier process automation. However, in edge and corner damage cases, the best repair approach is using trajectory strategies that constitute material support between deposition tracks and layers. Additionally, it is demonstrated that the corners are the most critical zones that require temperature control throughout the entire repair process.

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
4秒前
FLANKS发布了新的文献求助10
9秒前
平淡的衣完成签到,获得积分10
16秒前
NexusExplorer应助AXX041795采纳,获得10
23秒前
星星科语发布了新的文献求助10
23秒前
简单发布了新的文献求助20
24秒前
魔幻的芳完成签到,获得积分10
28秒前
SSY发布了新的文献求助10
28秒前
火星上的宝马完成签到,获得积分10
31秒前
平淡的衣发布了新的文献求助20
32秒前
33秒前
悲凉的忆南完成签到,获得积分10
34秒前
量子星尘发布了新的文献求助10
38秒前
陈旧完成签到,获得积分10
38秒前
41秒前
41秒前
欣欣子完成签到,获得积分10
42秒前
虚拟的清炎完成签到 ,获得积分10
44秒前
sunstar完成签到,获得积分10
45秒前
XXXXXX发布了新的文献求助10
48秒前
yxl完成签到,获得积分10
49秒前
可耐的盈完成签到,获得积分10
52秒前
绿毛水怪完成签到,获得积分10
55秒前
yg发布了新的文献求助10
57秒前
lsc完成签到,获得积分10
59秒前
XXXXXX完成签到,获得积分10
1分钟前
1分钟前
星星科语完成签到,获得积分20
1分钟前
小fei完成签到,获得积分10
1分钟前
andrele发布了新的文献求助10
1分钟前
麻辣薯条完成签到,获得积分10
1分钟前
hanlin给滕祥的求助进行了留言
1分钟前
时尚身影完成签到,获得积分10
1分钟前
leoduo完成签到,获得积分0
1分钟前
ryx发布了新的文献求助10
1分钟前
流苏2完成签到,获得积分10
1分钟前
1分钟前
斯文败类应助科研通管家采纳,获得30
1分钟前
上官若男应助科研通管家采纳,获得10
1分钟前
1分钟前
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
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5723656
求助须知:如何正确求助?哪些是违规求助? 5279993
关于积分的说明 15299011
捐赠科研通 4872033
什么是DOI,文献DOI怎么找? 2616484
邀请新用户注册赠送积分活动 1566311
关于科研通互助平台的介绍 1523187