Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes

制作 材料科学 多孔性 模块化设计 聚合物 刚度 合成膜 多孔介质 表征(材料科学) 纳米技术 工艺工程 复合材料 过程(计算) 控制工程
作者
Wang, Hongchen,Danalou, Sima Zeinali,Zhu, Jiahao,Sulimro, Kenneth,Lim, Chaewon,Basak, Smita,Tai, Aimee,Siriwardana, Usan,Hattrick-Simpers, Jason,Werber, Jay
出处
期刊:Cornell University - arXiv [Cornell University]
标识
DOI:10.48550/arxiv.2508.10973
摘要

The development of porous polymeric membranes remains a labor-intensive process, often requiring extensive trial and error to identify optimal fabrication parameters. In this study, we present a fully automated platform for membrane fabrication and characterization via nonsolvent-induced phase separation (NIPS). The system integrates automated solution preparation, blade casting, controlled immersion, and compression testing, allowing precise control over fabrication parameters such as polymer concentration and ambient humidity. The modular design allows parallel processing and reproducible handling of samples, reducing experimental time and increasing consistency. Compression testing is introduced as a sensitive mechanical characterization method for estimating membrane stiffness and as a proxy to infer porosity and intra-sample uniformity through automated analysis of stress-strain curves. As a proof of concept to demonstrate the effectiveness of the system, NIPS was carried out with polysulfone, the green solvent PolarClean, and water as the polymer, solvent, and nonsolvent, respectively. Experiments conducted with the automated system reproduced expected effects of polymer concentration and ambient humidity on membrane properties, namely increased stiffness and uniformity with increasing polymer concentration and humidity variations in pore morphology and mechanical response. The developed automated platform supports high-throughput experimentation and is well-suited for integration into self-driving laboratory workflows, offering a scalable and reproducible foundation for data-driven optimization of porous polymeric membranes through NIPS.
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
刚刚
刚刚
天天天王发布了新的文献求助10
刚刚
biomass完成签到,获得积分10
1秒前
冷酷的蓝莓完成签到 ,获得积分10
1秒前
刘哈哈完成签到 ,获得积分10
1秒前
刺猬完成签到,获得积分10
1秒前
科研通AI6.2应助天赐殊荣采纳,获得10
2秒前
小二郎应助王萌萌采纳,获得10
2秒前
er发布了新的文献求助10
3秒前
3秒前
zmz发布了新的文献求助30
4秒前
SciGPT应助潇洒的惋清采纳,获得10
5秒前
上官若男应助潇洒的惋清采纳,获得10
5秒前
天天快乐应助潇洒的惋清采纳,获得10
5秒前
传奇3应助潇洒的惋清采纳,获得10
5秒前
wang发布了新的文献求助10
5秒前
彭于晏应助潇洒的惋清采纳,获得10
5秒前
5秒前
斯文败类应助潇洒的惋清采纳,获得10
5秒前
arniu2008应助lihua采纳,获得20
5秒前
6秒前
英俊的铭应助潇洒的惋清采纳,获得10
6秒前
Axs应助潇洒的惋清采纳,获得10
6秒前
烤鱼的夹克完成签到,获得积分10
6秒前
彭于晏应助潇洒的惋清采纳,获得10
6秒前
无花果应助TT采纳,获得10
6秒前
诸葛傲丝应助周小福采纳,获得10
7秒前
慕青应助卧底玛雅采纳,获得10
7秒前
8秒前
顺颂时祺完成签到 ,获得积分10
8秒前
8秒前
tara完成签到,获得积分20
8秒前
CipherSage应助XueXiTong采纳,获得10
8秒前
随风发布了新的文献求助10
9秒前
天天快乐应助稳重诗珊采纳,获得10
9秒前
体贴的笑阳完成签到,获得积分10
11秒前
今后应助潇洒的惋清采纳,获得10
12秒前
orixero应助潇洒的惋清采纳,获得30
12秒前
13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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7367096
求助须知:如何正确求助?哪些是违规求助? 8975178
关于积分的说明 19081026
捐赠科研通 7010963
什么是DOI,文献DOI怎么找? 3224283
关于科研通互助平台的介绍 2387902
邀请新用户注册赠送积分活动 2205058