• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

一种用于预测选择性激光熔化制造的Inconel 718零件堆积密度的数学尺寸模型。

A Mathematical Dimensional Model for Predicting Bulk Density of Inconel 718 Parts Produced by Selective Laser Melting.

作者信息

Estrada-Díaz Jorge A, Elías-Zúñiga Alex, Martínez-Romero Oscar, Rodríguez-Salinas J, Olvera-Trejo Daniel

机构信息

School of Engineering and Science, Tecnológico de Monterrey, Av. E. Garza Sada 2501 Sur, Monterrey 64849, Mexico.

出版信息

Materials (Basel). 2021 Jan 21;14(3):512. doi: 10.3390/ma14030512.

DOI:10.3390/ma14030512
PMID:33494386
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7865268/
Abstract

In this work, dimensional analysis is used to develop a general mathematical model to predict bulk density of SLMed components taking volumetric energy density, scanning speed, powder's thermal conductivity, specific heat capacity, and average grain diameter as independent variables. Strong relation between dependent and independent dimensionless products is observed. Inconel 718 samples were additively manufactured and a particular expression, in the form of a power-law polynomial, for its bulk density, in the working domain of the independent dimensionless product, was obtained. It is found that with longer laser exposure time, and lower scanning speed, better densification is attained. Likewise, volumetric energy density has a positive influence on bulk density. The negative effect of laser power in bulk density is attributed to improper process conditions leading to powder particle sublimation and ejection. A maximum error percentage between experimental and predicted bulk density of 3.7119% is achieved, which corroborates the accuracy of our proposed model. A general expression for determining the scanning speed, with respect to laser power, needed to achieve highly dense components, was derived. The model's applicability was further validated considering SLMed samples produced by AlSi10Mg and Ti6Al4V alloys. This article elucidates how to tune relevant manufacturing parameters to produce highly dense SLM parts using mathematical expressions derived from Buckingham's π- theorem.

摘要

在这项工作中，采用量纲分析来建立一个通用数学模型，以预测选择性激光熔化（SLM）部件的 bulk 密度，该模型将体积能量密度、扫描速度、粉末的热导率、比热容和平均晶粒直径作为自变量。观察到因变量与自变量的无量纲乘积之间存在强相关性。对 Inconel 718 样品进行了增材制造，并在自变量无量纲乘积的工作范围内，得到了其 bulk 密度的幂律多项式形式的特定表达式。研究发现，激光曝光时间越长、扫描速度越低，致密化效果越好。同样，体积能量密度对 bulk 密度有积极影响。激光功率对 bulk 密度的负面影响归因于工艺条件不当导致粉末颗粒升华和喷射。实验 bulk 密度与预测 bulk 密度之间的最大误差百分比为 3.7119%，这证实了我们所提出模型的准确性。推导了关于激光功率确定实现高密度部件所需扫描速度的通用表达式。考虑到由 AlSi10Mg 和 Ti6Al4V 合金制成的 SLM 样品，进一步验证了该模型的适用性。本文阐明了如何使用从白金汉π定理导出的数学表达式来调整相关制造参数，以生产高密度的 SLM 零件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/38c93d3a95f4/materials-14-00512-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/8fbd389515c5/materials-14-00512-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/4ac97d83a9cd/materials-14-00512-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/66f0b6e79d02/materials-14-00512-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/94bbf254fb1b/materials-14-00512-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/de84b389b7b3/materials-14-00512-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/cf874776e5e3/materials-14-00512-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/e64ae79d2982/materials-14-00512-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/96564a590c24/materials-14-00512-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/97b7408e1b7c/materials-14-00512-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/38c93d3a95f4/materials-14-00512-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/8fbd389515c5/materials-14-00512-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/4ac97d83a9cd/materials-14-00512-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/66f0b6e79d02/materials-14-00512-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/94bbf254fb1b/materials-14-00512-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/de84b389b7b3/materials-14-00512-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/cf874776e5e3/materials-14-00512-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/e64ae79d2982/materials-14-00512-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/96564a590c24/materials-14-00512-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/97b7408e1b7c/materials-14-00512-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/7865268/38c93d3a95f4/materials-14-00512-g010.jpg

相似文献

1
A Mathematical Dimensional Model for Predicting Bulk Density of Inconel 718 Parts Produced by Selective Laser Melting.一种用于预测选择性激光熔化制造的Inconel 718零件堆积密度的数学尺寸模型。
Materials (Basel). 2021 Jan 21;14(3):512. doi: 10.3390/ma14030512.
2
Enhanced Mathematical Model for Producing Highly Dense Metallic Components through Selective Laser Melting.用于通过选择性激光熔化生产高密度金属部件的增强数学模型。
Materials (Basel). 2021 Mar 23;14(6):1571. doi: 10.3390/ma14061571.
3
Influence of Selective Laser Melting Additive Manufacturing Parameters in Inconel 718 Superalloy.选择性激光熔化增材制造参数对Inconel 718高温合金的影响。
Materials (Basel). 2022 Feb 12;15(4):1362. doi: 10.3390/ma15041362.
4
The Influence of Atmospheric Oxygen Content on the Mechanical Properties of Selectively Laser Melted AlSi10Mg TPMS-Based Lattice.大气氧含量对基于选择性激光熔化AlSi10Mg拓扑优化微结构晶格力学性能的影响
Materials (Basel). 2023 Jan 2;16(1):430. doi: 10.3390/ma16010430.
5
On the Selective Laser Melting (SLM) of the AlSi10Mg Alloy: Process, Microstructure, and Mechanical Properties.关于AlSi10Mg合金的选择性激光熔化（SLM）：工艺、微观结构及力学性能
Materials (Basel). 2017 Jan 18;10(1):76. doi: 10.3390/ma10010076.
6
Effect of Selective Laser Melting Process Parameters on the Quality of Al Alloy Parts: Powder Characterization, Density, Surface Roughness, and Dimensional Accuracy.选择性激光熔化工艺参数对铝合金零件质量的影响：粉末表征、密度、表面粗糙度和尺寸精度
Materials (Basel). 2018 Nov 22;11(12):2343. doi: 10.3390/ma11122343.
7
A Comparative Analysis of Low and High SiC Volume Fraction Additively Manufactured SiC/Ti6Al4V(ELI) Composites Based on the Best Process Parameters of Laser Power, Scanning Speed and Hatch Distance.基于激光功率、扫描速度和铺粉间距最佳工艺参数的低SiC体积分数和高SiC体积分数增材制造SiC/Ti6Al4V（ELI）复合材料的对比分析
Materials (Basel). 2024 May 28;17(11):2606. doi: 10.3390/ma17112606.
8
Formability, Microstructure and Properties of Inconel 718 Superalloy Fabricated by Selective Laser Melting Additive Manufacture Technology.选择性激光熔化增材制造技术制备的Inconel 718高温合金的成形性、微观组织与性能
Materials (Basel). 2021 Feb 19;14(4):991. doi: 10.3390/ma14040991.
9
Collaborative Optimization of Density and Surface Roughness of 316L Stainless Steel in Selective Laser Melting.选择性激光熔化中316L不锈钢密度与表面粗糙度的协同优化
Materials (Basel). 2020 Apr 1;13(7):1601. doi: 10.3390/ma13071601.
10
Investigation on Selective Laser Melting AlSi10Mg Cellular Lattice Strut: Molten Pool Morphology, Surface Roughness and Dimensional Accuracy.选择性激光熔化AlSi10Mg多孔晶格支柱的研究：熔池形态、表面粗糙度和尺寸精度
Materials (Basel). 2018 Mar 7;11(3):392. doi: 10.3390/ma11030392.

引用本文的文献

1
Laser powder bed fusion dataset for relative density prediction of commercial metallic alloys.用于商业金属合金相对密度预测的激光粉末床熔融数据集
Sci Data. 2025 Mar 4;12(1):375. doi: 10.1038/s41597-025-04576-x.
2
Modeling the Ultrasonic Micro-Injection Molding Process Using the Buckingham Pi Theorem.使用白金汉π定理对超声微注塑成型过程进行建模。
Polymers (Basel). 2023 Sep 15;15(18):3779. doi: 10.3390/polym15183779.
3
Enhanced Mathematical Model for Producing Highly Dense Metallic Components through Selective Laser Melting.用于通过选择性激光熔化生产高密度金属部件的增强数学模型。

本文引用的文献

1
Experimental Studies on MoS-Treated Grinding Wheel Active Surface Condition after High-Efficiency Internal Cylindrical Grinding Process of INCONEL Alloy 718.
Micromachines (Basel). 2019 Apr 17;10(4):255. doi: 10.3390/mi10040255.
2
Effect of Selective Laser Melting Process Parameters on the Quality of Al Alloy Parts: Powder Characterization, Density, Surface Roughness, and Dimensional Accuracy.选择性激光熔化工艺参数对铝合金零件质量的影响：粉末表征、密度、表面粗糙度和尺寸精度
Materials (Basel). 2018 Nov 22;11(12):2343. doi: 10.3390/ma11122343.
3
Effect of layered manufacturing techniques, alloy powders, and layer thickness on mechanical properties of Co-Cr dental alloys.层积制造技术、合金粉末和层厚对 Co-Cr 牙科合金机械性能的影响。
Materials (Basel). 2021 Mar 23;14(6):1571. doi: 10.3390/ma14061571.
J Prosthet Dent. 2018 Nov;120(5):762-770. doi: 10.1016/j.prosdent.2017.11.032. Epub 2018 Jun 28.