找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Reactive Extraction; Hans-Jörg Bart Book 2001 Springer-Verlag Berlin Heidelberg 2001 bridge.design.development.extraction.ionic solutions.

[复制链接]
楼主: Thoracic
发表于 2025-3-23 12:37:47 | 显示全部楼层
Reactive Extraction, in the chemical and bio-chemical industry and in environmental applications. An excellent survey of progress in these fields is given in the proceedings of the International Solvent Extraction Conferences [ISEC ′71 –′99].
发表于 2025-3-23 17:20:33 | 显示全部楼层
Reactive Extraction,ch achieves the separation. According to this, solvent recovery in a continuous solvent circuit is necessary. Usually liquid-liquid extraction operates at ambient or slightly higher temperatures and reextraction may be accomplished by a back wash or thermal strip. The transfer of a dissolved compoun
发表于 2025-3-23 20:37:42 | 显示全部楼层
Liquid-Liquid Phase Equilibria,e, the thermodynamic data for the distribution of the solute between the two phases is the most important. There are several available source books on liquid-liquid equilibria (LLE), e.g. for organic solutes [Wisniak & Tamir (1980), Sorensen & Ant (1979–1980)]. The most commonly used correlations fo
发表于 2025-3-23 22:14:05 | 显示全部楼层
Current Developments and Apparatus Techniques, made for separating the phases after completed contacting. Four major types of extractors are distinguished: . and .. Mixer-settlers are rather easy to design, flexible in residence time (an important issue with reactions), pH control in each extraction stage is individually possible, and even whic
发表于 2025-3-24 02:51:51 | 显示全部楼层
Liquid-Liquid Phase Equilibria,r LLE are also implemented in simulation tools like ChemSep., ASPEN., HYSIM., etc. Unfortunately, the available data may be incomplete or unreliable which then makes laborious experimental work necessary.
发表于 2025-3-24 09:09:27 | 显示全部楼层
发表于 2025-3-24 13:27:04 | 显示全部楼层
发表于 2025-3-24 18:16:13 | 显示全部楼层
发表于 2025-3-24 22:51:09 | 显示全部楼层
发表于 2025-3-25 02:33:16 | 显示全部楼层
David Sapsford,Zafiris Tzannatosas two important branches of deep learning, Two-Stream relies on optical flow with complex computation and 3D convolution network is difficult for training. In this paper, we propose a novel Three-Stream Convolution networks after feature extraction for action recognition. For feature, we introduce
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-9 03:55
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表