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
不爱吃苹果完成签到,获得积分10
1秒前
剑舞红颜笑完成签到 ,获得积分10
2秒前
2秒前
明天发布了新的文献求助20
2秒前
寒霜扬名完成签到 ,获得积分10
4秒前
隐形曼青应助1234采纳,获得10
6秒前
科研通AI6.1应助枫cxf163采纳,获得10
8秒前
8秒前
9秒前
小马甲应助明天采纳,获得20
12秒前
量子星尘发布了新的文献求助10
13秒前
柔之发布了新的文献求助10
14秒前
7777777发布了新的文献求助10
16秒前
薄荷心完成签到 ,获得积分10
18秒前
齐珏完成签到,获得积分10
20秒前
20秒前
myy发布了新的文献求助10
21秒前
明天完成签到,获得积分10
23秒前
烟花应助7777777采纳,获得10
23秒前
柔之完成签到,获得积分10
25秒前
26秒前
26秒前
Xilli完成签到 ,获得积分10
26秒前
27秒前
27秒前
27秒前
27秒前
27秒前
Nancy发布了新的文献求助30
27秒前
27秒前
27秒前
27秒前
27秒前
27秒前
28秒前
zxm完成签到,获得积分10
28秒前
28秒前
Lucas应助科研通管家采纳,获得10
28秒前
28秒前
NexusExplorer应助科研通管家采纳,获得10
28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
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Real World Research, 5th Edition 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 5734932
求助须知:如何正确求助?哪些是违规求助? 5357333
关于积分的说明 15328116
捐赠科研通 4879418
什么是DOI,文献DOI怎么找? 2621901
邀请新用户注册赠送积分活动 1571096
关于科研通互助平台的介绍 1527906