A 3D discrete element-finite difference coupling model for predicting the effective thermal conductivity of metal powder beds

被引：17

作者：

Zhang, Hang ^{[1
]}

Zhao, Yizhen ^{[1
]}

Wang, Fu ^{[1
]}

Li, Dichen ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Mech Engn, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China

来源：

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | 2019年 / 132卷

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Effective thermal conductivity; Powder beds; Heat conduction; PARTICLE-SIZE DISTRIBUTION; PACKED PEBBLE BEDS; HEAT-TRANSFER; TEMPERATURE; SIMULATION; HARDNESS; DEPENDENCE; FRICTION; PACKING; GASES;

D O I：

10.1016/j.ijheatmasstransfer.2018.11.118

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The effective thermal conductivity (ETC) of metal powder is a basic physical property that has an important role in industrial design for metallurgical, energy, chemical, and other types of application. To obtain this information, a numerical model based on the coupled discrete element-finite difference (DE-FD) method is proposed to precisely and efficiently predict the ETC of metal powders. A random packaged aluminum powder unit influenced by the effects of gravity is piled up concerning the particle size distribution of the real powder. Moreover, a sandwich structure model is proposed to simulate the thermal dynamic behavior during directional heat transfer. Based on the amount of heat passing through the system, the effective thermal conductivity was precisely calculated in an indirect way and the results of the simulation were consistent with corresponding experimental results. Relative error was within +/- 5%. Thus, the proposed numerical model may be useful in predicting the ETC of the different powder beds filed using various types of interstitial gas media within a wide range of temperatures. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：1 / 10

页数：10

共 45 条

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