A review on preparing new energy ultrafine powder materials by freeze-drying

冷冻干燥 粒径 材料科学 同质性(统计学) 工艺工程 纳米技术 化学工程 化学 计算机科学 色谱法 工程类 机器学习
作者
Sha Mi,Zhiqiang Liu,Chun Luo,Lingling Cai,Zezong Zhang,Longquan Li
出处
期刊:Drying Technology [Taylor & Francis]
卷期号:38 (12): 1544-1564 被引量:24
标识
DOI:10.1080/07373937.2019.1651733
摘要

Efficient utilization of new energy is important way to reduce carbon emission and achieve sustainable development. High-quality new energy ultrafine powder materials (NEUPMs) play a significant role in improving energy efficiency due to their large specific surface area and high reactivity. Therefore, preparation of NEUPMs has become a key issue. Among numerous preparation methods, freeze-drying is one of the most promising techniques as it can produce ultrafine powders with uniform particle size. Although freeze-drying exhibits many advantages, the control of particle size and homogeneity of powders has not attracted adequate attention of researchers. Therefore, the objective of this paper is to provide a review illustrating the importance of particle size control and its implementation methods from the aspects of the principle, influencing factors, theoretical models, and applications. First, the principle and process of preparing NEUPMs by freeze-drying are analyzed. Then, the factors that influence particle size and homogeneity of powders such as freezing conditions, solution concentration and heat treatment conditions are discussed. Next, the mathematical models of freeze-drying process are summarized. Meanwhile, the application of NEUPMs prepared by freeze-drying in new energy field is discussed. Finally, this review provides some suggestions for further study of the mechanisms involved in freeze-drying. HighlightsThe progress of preparing NEUPMs by freeze-drying is reviewed.The effects of ice crystals on particles size of NEUPMs are explored.The technological parameters that influence the quality of NEUPMs are investigated.The freeze-dried models are summarized for preparing NEUPMs.Further research to control the particle size of NEUPMs is provided.
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
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
1秒前
卡夫卡发布了新的文献求助10
2秒前
猴子发布了新的文献求助10
2秒前
panpan完成签到,获得积分10
3秒前
猫的报恩发布了新的文献求助10
4秒前
zixu发布了新的文献求助10
5秒前
S4ndy完成签到,获得积分10
5秒前
pass完成签到 ,获得积分10
5秒前
6秒前
一百分发布了新的文献求助10
6秒前
6秒前
7秒前
丸子完成签到,获得积分20
8秒前
科研通AI6.1应助xiaowen采纳,获得10
9秒前
10秒前
10秒前
Wlj发布了新的文献求助10
10秒前
10秒前
王一会完成签到,获得积分10
11秒前
zzzz应助moodys采纳,获得10
11秒前
11秒前
喝可乐的猫完成签到 ,获得积分10
13秒前
heyheyhey完成签到,获得积分10
13秒前
13秒前
cym完成签到,获得积分10
13秒前
xiang完成签到,获得积分10
13秒前
14秒前
14秒前
高xia发布了新的文献求助30
15秒前
zzy发布了新的文献求助10
15秒前
15秒前
丸子发布了新的文献求助20
15秒前
xch关闭了xch文献求助
15秒前
gb发布了新的文献求助10
16秒前
zixu完成签到,获得积分20
16秒前
等风的人发布了新的文献求助10
16秒前
王一会发布了新的文献求助10
16秒前
科研通AI6.1应助陈峰琦采纳,获得10
16秒前
YeSun发布了新的文献求助30
17秒前
17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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364898
求助须知:如何正确求助?哪些是违规求助? 8178864
关于积分的说明 17239318
捐赠科研通 5419951
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692343