In this work, a methodology based on the analysis of single-camera, double-pulse PIV images is described and validated as a tool to characterize fiber-dispersed turbulent flows in large-scale facilities. The methodology consists of image pre-treatment (intensity adjustment, median filtering, threshold binarization and object identification by a recursive connection algorithm) and object-based phase discrimination used to generate two independent snapshots from one single image, one for the dispersed phase and one for the seeding. Snapshots are then processed to calculate the flow field using standard PIV techniques and to calculate fiber concentration and orientation statistics using an object-fitting procedure. The algorithm is tuned and validated by means of artificially generated images and proven to be robust against identified sources of error. The methodology is applied to experimental data collected from a fiber suspension in a turbulent pipe flow. Results show good qualitative agreement with experimental data from the literature and with in-house numerical data.
Experiments in Fluids – Springer Journals
Published: Dec 21, 2012
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
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