Determining minimum curing time and temperature for a phenolic formaldehyde/epoxy adhesive

作者
Enar Omeragic
链接
摘要

Alfa Laval has been using its unique adhesive mixture for over 50 years for bonding of rubber gaskets to the corrugated plates used in their heat exchangers. The adhesive mix is designated GC6 and is composed out of an epoxy component and a phenolic component. GC6 has throughout the years shown exceptionally good performance in both adhesion to the rubber gasket and to the plate with minimal pre-treatments of the surfaces required. The manufacturer of the phenolic component recently announced that they would discontinue this product. Thus, a replacement with a similar composition was identified. This new component showed to have a faster cure rate which as a result meant that the same curing temperature and time could be used as for the old component. However, data on the minimum curing conditions with respect to time and temperature to obtain a well performing adhesive bond had not yet been established. Thus, the aim of this project was to investigate this. The adhesive showed sufficiently good performance when samples were cured to a residual enthalpy of <2.3J/g, both in initial bond strength and chemical resistance. This required a curing of at least 1h at 120°C and showed no decrease in bond strength after ageing for one week in a humidity chamber. For curing temperatures under 110 °C, in addition to reduced performance also a separation of the individual components. These findings suggest that the current minimum curing recommendations of 120°C for 3h are well above the findings in this report. This also opens the possibility for Alfa Laval to optimize their curing conditions to lower the energy consumption and environmental impact of each cycle. (Less)

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
学术小白铼完成签到,获得积分10
刚刚
忆修完成签到,获得积分10
刚刚
时光海苔发布了新的文献求助10
1秒前
1秒前
2秒前
罗磊发布了新的文献求助10
2秒前
Bella_qcx发布了新的文献求助10
3秒前
初景发布了新的文献求助10
3秒前
紫儿啊发布了新的文献求助10
3秒前
4秒前
arry完成签到,获得积分10
4秒前
4秒前
4秒前
酷波er的应助被11采纳,获得10
4秒前
5秒前
羊布吃稻完成签到,获得积分10
6秒前
iitj发布了新的文献求助10
6秒前
LarryC完成签到,获得积分10
6秒前
阿雨完成签到,获得积分10
6秒前
6秒前
王三发布了新的文献求助10
7秒前
爱笑的幻翠关注了科研通微信公众号
8秒前
8秒前
脑洞疼的应助被Abyss采纳,获得10
8秒前
科研小白完成签到,获得积分10
8秒前
田様的应助被天天天才采纳,获得10
9秒前
哈基米发布了新的文献求助30
10秒前
10秒前
洛泱发布了新的文献求助10
10秒前
guozy完成签到,获得积分10
10秒前
11秒前
绒绒吃桃完成签到,获得积分10
11秒前
斯文败类的应助被文静金针菇采纳,获得10
11秒前
lala发布了新的文献求助30
12秒前
慕青的应助被momo采纳,获得10
12秒前
科研通AI6.2的应助被王三采纳,获得10
12秒前
13秒前
无私的玫瑰完成签到,获得积分10
13秒前
月儿完成签到 ,获得积分10
13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
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
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 8031132
求助须知:如何正确求助?哪些是违规求助? 9470006
关于积分的说明 21241584
捐赠科研通 7600821
什么是DOI,文献DOI怎么找? 3388616
关于科研通互助平台的介绍 2520901
邀请新用户注册赠送积分活动 2425563