Impact investigation of turbulence image features on the computation of flow kinetic energy
by Zhongwei Liang; Jianhua Tao; Xiaochu Liu; Wu Deng
International Journal of Simulation and Process Modelling (IJSPM), Vol. 7, No. 1/2, 2012

Abstract: For the purpose of obtaining the accurate characteristics of turbulence motion locus in strengthen grinding, we quantitative studied the influence of image features on selecting fluid models when computing flow kinetic energy and its spatial distribution simulation. Through the turbulence image signal is sampled in a grinding flow field, we realised the multi-precision expression of image signal group for quantifying its mathematical characteristics, then established typical fluid models and deduced the computing formulas for kinetic energy. In an experiment, we use turbulence from strengthen grinding as an example, with fuzzy relational degree and central-limit variance were used for analysing and comparing the variation tendencies of those obtained kinetic energy. Finally, the computer simulation of kinetic energy spatial distribution is realised in Fluent 6.2.23, which helps to establish the influence mechanism and mutual relationship between turbulence image features and the computation of flow kinetic energy, the technical reference for turbulence monitoring can be provided.

Online publication date: Sat, 15-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Simulation and Process Modelling (IJSPM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com