Mesoscopic-Scale Numerical Simulation Including the Influence of Process Parameters on SLM Single-Layer Multi-pass Formation

比例(比率) 过程(计算) 直接数值模拟 宏观尺度 纳米尺度
作者
Liu Cao
出处
期刊:Metallurgical and Materials Transactions A-physical Metallurgy and Materials Science 卷期号:51 (8): 4130-4145 被引量:3
标识
DOI:10.1007/s11661-020-05831-z
摘要

Selective laser melting (SLM) is a metal additive manufacturing technology that directly forms three-dimensional complex components according to digital models via layer-by-layer addition. It has been widely used in medical personalization, aerospace, and other fields. To analyze the influence of different process parameters, such as the line energy density and hatch space on the SLM single-layer multi-pass formation process, a random particle distribution of the powder bed was first obtained via the open-source discrete element method (DEM) code Yade. The prediction model of the molten pool dynamic behavior during the SLM formation process was then established based on the “metal-gas” two-phase flow model. The conservation equation considered thermal factors, such as the Marangoni effect, the porosity in the mushy zone, and the gasification phenomenon. Laser energy was then applied by the body heat source model, which directly tracked the metal-phase surface affected by the laser in real time and applied energy to the metal-phase elements within a certain thickness. By analyzing the simulation results, it was found that to obtain a good formation zone in actual SLM production for 316L stainless steel, from the perspective of controlling line energy density, 200 J/m should be used to obtain a relatively flat solidified track and to establish a good connection with the substrate or the upper formation layer; from the perspective of controlling the hatch space, 45 μm should be used to ensure a good connection between adjacent solidified tracks, a relatively flat formation surface, and high production efficiency. These conclusions were consistent with the experimental results. This article offers a scientific rationale for parameter selection during the SLM formation process of 316L stainless steel.

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
药膳干完成签到,获得积分10
1秒前
欢呼雪旋完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
德瓦达达娃完成签到,获得积分10
1秒前
1秒前
英吉利25发布了新的文献求助10
2秒前
一只盒子完成签到 ,获得积分10
2秒前
缥缈岭南发布了新的文献求助10
2秒前
科研通AI6.3应助lsly采纳,获得10
2秒前
一一完成签到,获得积分10
3秒前
3秒前
子桑发布了新的文献求助10
3秒前
张张张关注了科研通微信公众号
3秒前
Soleven完成签到,获得积分10
3秒前
动听幻儿完成签到,获得积分10
3秒前
动听雨梅完成签到 ,获得积分10
3秒前
3秒前
FYH_fyh发布了新的文献求助10
4秒前
闪闪的向梦完成签到,获得积分20
4秒前
hahamissyu应助Wangzhixuan采纳,获得20
4秒前
傻妞完成签到,获得积分10
4秒前
小五完成签到,获得积分10
4秒前
英姑应助群q采纳,获得10
5秒前
老衲发布了新的文献求助20
5秒前
种籽发布了新的文献求助30
5秒前
6秒前
Flipped完成签到,获得积分10
6秒前
梓榆发布了新的文献求助10
6秒前
Kestis.完成签到,获得积分10
6秒前
Ava应助Ding采纳,获得10
6秒前
7秒前
7秒前
7秒前
7秒前
Horizon发布了新的文献求助10
8秒前
8秒前
豪123456完成签到,获得积分10
9秒前
9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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6159979
求助须知:如何正确求助?哪些是违规求助? 7988136
关于积分的说明 16603485
捐赠科研通 5268351
什么是DOI,文献DOI怎么找? 2810910
邀请新用户注册赠送积分活动 1791217
关于科研通互助平台的介绍 1658110