This work presents a method to calculate the surface tension of the inorganic family of silicon-based molecules starting from the knowledge of the liquid viscosity. As a first step, the raw experimental data of silanes were collected from the data available in the DIPPR database, both for surface tension and liquid viscosity. After the data analysis, a selection of experimental data was considered for the calculations. Furthermore, to create two homogeneous databanks, the original experimental data were regressed at the same reduced temperature range, spanning from 0.3 to 0.8. The original Pelofsky empirical relationship between the natural logarithm of surface tension and the inverse of viscosity was modified to represent the surface tension of silanes starting from the viscosity of liquids. The obtained results produced an AAD = 1.13% calculated on the entire dataset.
Fluid Phase Equilibria – Elsevier
Published: May 15, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera