A study on the formaldehyde emission parameters of porous building materials based on adsorption potential theory

吸附 热扩散率 材料科学 扩散 多孔性 热力学 甲醛 多孔介质 分配系数 化学 物理化学 复合材料 物理 色谱法 有机化学
作者
Xiaojun Zhou,Yanfeng Liu,Cong Song,Jiaping Liu
出处
期刊:Building and Environment [Elsevier BV]
卷期号:106: 254-264 被引量:23
标识
DOI:10.1016/j.buildenv.2016.07.003
摘要

The emission of formaldehyde from building materials is characterized by three key parameters: the initial emittable concentration, the partition coefficient, and the diffusion coefficient. Scholars have conducted considerable research to determine these three parameters. However, the experimental methods are mostly time consuming, and the experimental data cannot provide a mechanism to explain the influence of the main control factors on the emission parameters. Theoretical prediction models have been built to predict a certain parameter based on different theories and with different applicable scopes. Thus, it is necessary to establish a theoretical system that can analyze the formaldehyde emission process based on a fundamental theory and can simultaneously predict the emission parameters. Based on adsorption potential theory, this paper disassembled the pore structure of porous building materials and calculated the adsorption potential for a given pore diameter. According to the relationship between the molecular kinetic energy and the adsorption potential, the emittable ratios for each independent potential field were calculated. The initial emittable concentration of the whole material was finally obtained by reconstruction. Our previous study proposed a prediction model for the partition coefficient based on adsorption potential theory. Combining this proposed model with the effective diffusivity model, a new correlation between the diffusion coefficient and temperature was derived. Three types of medium density fiberboards and one type of particle board were used in the mercury intrusion porosimetry tests and the environmental chamber experiments of formaldehyde emission. The emission parameters calculated by the prediction models agreed well with the experimental data.

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
molihuakai的应助被mym采纳,获得10
1秒前
yuxia完成签到 ,获得积分10
2秒前
2秒前
Cheffe发布了新的文献求助10
2秒前
3秒前
所所的应助被研友_闾丘枫采纳,获得10
4秒前
4秒前
4秒前
xyz关注了科研通微信公众号
4秒前
4秒前
秋风的应助被盖福鹤采纳,获得10
4秒前
Nole的应助被摩登灰太狼采纳,获得10
5秒前
斯文败类的应助被lnyklz采纳,获得10
5秒前
suli发布了新的文献求助10
6秒前
大个的应助被laola采纳,获得10
6秒前
小麦发布了新的文献求助10
6秒前
无限水杯完成签到,获得积分10
6秒前
小黑发布了新的文献求助10
6秒前
7秒前
王贺完成签到,获得积分10
7秒前
7秒前
言仙儿发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
SM俊完成签到,获得积分10
9秒前
WQ完成签到,获得积分10
9秒前
路边完成签到,获得积分10
9秒前
仔仔发布了新的文献求助10
9秒前
9秒前
大爱发布了新的文献求助10
10秒前
三水发布了新的文献求助10
10秒前
Anonymous的应助被迷你的岩采纳,获得10
10秒前
TheFuture发布了新的文献求助10
11秒前
11秒前
赵亦恬完成签到,获得积分10
11秒前
11秒前
11秒前
12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
Das Matthäusevangelium: Kapitel 1:1–17 1000
Les Mots du discours 600
OREDA手册2009年第5版 500
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8113390
求助须知:如何正确求助?哪些是违规求助? 9520025
关于积分的说明 21527063
捐赠科研通 7691188
什么是DOI,文献DOI怎么找? 3412801
关于科研通互助平台的介绍 2539303
邀请新用户注册赠送积分活动 2452768