scholarly journals Influence of process variables on foaming ability of surfactants: Experimental study and dimensional analysis

2021 ◽  
Vol 165 ◽  
pp. 40-50
Author(s):  
Rémy Bois ◽  
Océane Adriao ◽  
Guillaume Delaplace ◽  
Isabelle Pezron ◽  
Alla Nesterenko ◽  
...  
Keyword(s):  
Experimental Study ◽  
Dimensional Analysis ◽  
Process Variables ◽  
Foaming Ability

scholarly journals Critical agitation for microcarrier suspension in orbital shaken bioreactors: Experimental study and dimensional analysis

2015 ◽  
Vol 122 ◽  
pp. 545-554 ◽  
Author(s):  
Eric Olmos ◽  
Karine Loubiere ◽  
Céline Martin ◽  
Guillaume Delaplace ◽  
Annie Marc
Keyword(s):  
Experimental Study ◽  
Dimensional Analysis ◽  
Shaken Bioreactors

An Experimental Study of the Abrasive Water Jet Micro-Machining Process for Quartz Crystals

2012 ◽  
Vol 565 ◽  
pp. 339-344 ◽  
Author(s):  
H. Qi ◽  
J.M. Fan ◽  
Jun Wang
Keyword(s):  
Experimental Study ◽  
Removal Rate ◽  
Water Jet ◽  
Machining Process ◽  
Bottom Surface ◽  
Micro Machining ◽  
Abrasive Water Jet ◽  
Process Variables ◽  
Jet Impact ◽  
Micro Channels

An experimental study of the machining process for micro-channels on a brittle quartz crystal material by an abrasive slurry jet (ASJ) is presented. A statistical experiment design considering the major process variables is conducted, and the machined surface morphology and channelling performance are analysed to understand the micro-machining process. It is found that a good channel top edge appearance and bottom surface quality without wavy patterns can be achieved by employing relatively small particles at shallow jet impact angles. The major channel performance measures, i.e. material removal rate (MRR) and channel depth, are then discussed with respect to the process parameters. It shows that with a proper control of the process variables, the abrasive water jet (AWJ) technology can be used for the micro-machining of brittle materials with high quality and productivity.

Applicability of dimensional analysis for the prediction of pollution performance of insulators: an experimental study

2017 ◽  
Vol 11 (5) ◽  
pp. 1319-1324 ◽  
Author(s):  
S. Sudalai Shunmugam ◽  
N. Vasudev ◽  
K.N. Ravi ◽  
K.A. Venkatesh
Keyword(s):  
Experimental Study ◽  
Dimensional Analysis
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