A Multi-Objectives Genetic Algorithm Based Predictive Model and Strategy Optimization during SLM Process

过程(计算) 表面粗糙度 遗传算法 材料科学 激光功率缩放 选择性激光熔化 曲面(拓扑) 质量(理念) 表面光洁度 算法 工作(物理) 计算机科学 机械工程 激光器 数学 光学 复合材料 工程类 几何学 机器学习 物理 哲学 操作系统 认识论 微观结构
作者
Qingfeng Xia,Jitai Han
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:15 (13): 4607-4607 被引量:4
标识
DOI:10.3390/ma15134607
摘要

Selective laser melting (SLM) process was optimized in this work using multi-objectives genetic algorithm. Process parameters involved in the printing process have an obvious impact on the quality of the printed parts. As the relationship between process parameters and the quality of different parts are complex, it is quite essential to study the effect of process parameter combination. In this work, the impact of four main process parameters, including defocusing amount, laser power, scan speed and layer thickness, were studied on overhanging surface quality of the parts with different inner structures. A multiple-factor and multiple-level experiment was conducted to establish a prediction model using regression analysis while multi-objective genetic algorithm was also employed here to improve the overhanging surface quality of parts with different inner shapes accordingly. The optimized process parameter combination was also used to print inner structure parts and compared with the prediction results to verify the model we have obtained before. The prediction results revealed that sinking distance and roughness value of the overhanging surface on a square-shape inner structure can reduce to 0.017 mm and 9.0 μm under the optimal process parameters combination, while the sinking distance and roughness value of the overhanging surface on a circle-shape inner structure can decrease to 0.014 mm and 10.7 μm under the optimal process parameters combination respectively. The testing results showed that the error rates of the prediction results were all within 10% in spite of random powder bonding in the printing process, which further proved the reliability of the previous results.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
慕青应助花椒苦啊采纳,获得10
刚刚
刚刚
wjy321完成签到,获得积分10
刚刚
凶狠的尔蓉应助龙傲天采纳,获得10
刚刚
yy完成签到,获得积分10
1秒前
浮游应助科研通管家采纳,获得10
1秒前
1秒前
Koalas应助科研通管家采纳,获得20
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
研友_VZG7GZ应助科研通管家采纳,获得10
1秒前
小马甲应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
JamesPei应助泽灵采纳,获得10
3秒前
大个应助76542cu采纳,获得10
4秒前
完美世界应助hgyu采纳,获得10
4秒前
TJP发布了新的文献求助30
5秒前
白夜缇米友关注了科研通微信公众号
5秒前
六天完成签到,获得积分20
5秒前
111发布了新的文献求助10
5秒前
yn完成签到 ,获得积分10
5秒前
韩健勇发布了新的文献求助10
5秒前
科研通AI6应助黄叶飞采纳,获得10
6秒前
6秒前
HANZHANG应助昊男的宝贝采纳,获得10
6秒前
零零发布了新的文献求助10
6秒前
7秒前
lyfsci发布了新的文献求助10
7秒前
安菲尔德发布了新的文献求助20
8秒前
甜甜诗筠完成签到,获得积分10
8秒前
9秒前
幺幺幺发布了新的文献求助10
9秒前
刻苦的耳机给刻苦的耳机的求助进行了留言
10秒前
真的爱完成签到 ,获得积分10
10秒前
桐桐应助阳光易真采纳,获得10
10秒前
10秒前
周茉发布了新的文献求助10
10秒前
高分求助中
Fermented Coffee Market 2000
合成生物食品制造技术导则,团体标准,编号:T/CITS 396-2025 1000
The Leucovorin Guide for Parents: Understanding Autism’s Folate 1000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Comparing natural with chemical additive production 500
Atlas of Liver Pathology: A Pattern-Based Approach 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5240190
求助须知:如何正确求助?哪些是违规求助? 4407423
关于积分的说明 13718435
捐赠科研通 4276096
什么是DOI,文献DOI怎么找? 2346385
邀请新用户注册赠送积分活动 1343517
关于科研通互助平台的介绍 1301508