Keyword search (4,164 papers available)

"Efficiency" Keyword-tagged Publications:

Title Authors PubMed ID
1 Electrochemical Nitrate Reduction to Ammonia on AuCu Single-atom Alloy Aerogels under Wide Potential Window Yu J; Gao RT; Guo X; Nguyen NT; Wu L; Wang L; 39264141
ENCS
2 Who Should Decide How Machines Make Morally Laden Decisions? Dominic Martin 27905083
JMSB
3 The interpersonal benefits of goal adjustment capacities: the sample case of coping with poor sleep in couples Meaghan A Barlow 38566936
PSYCHOLOGY
4 Resource efficiency analysis through planetary boundary-based life cycle assessment: a case study of sugarcane in Pakistan Ghani HU; Ryberg M; Bjørn A; Hauschild MZ; Gheewala SH; 37363084
ENCS
5 Intelligent operation, maintenance, and control system for public building: Towards infection risk mitigation and energy efficiency Ren C; Zhu HC; Wang J; Feng Z; Chen G; Haghighat F; Cao SJ; 36941886
ENCS
6 Impact of ionizers on prevention of airborne infection in classroom Ren C; Haghighat F; Feng Z; Kumar P; Cao SJ; 36474607
ENCS
7 How uncertainty affects information search among consumers: a curvilinear perspective He S; Rucker DD; 36471868
JMSB
8 Energy, economic, and environmental impacts of enhanced ventilation strategies on railway coaches to reduce Covid-19 contagion risks Barone G; Buonomano A; Forzano C; Giuzio GF; Palombo A; 35754761
ENCS
9 Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers López RR; Sánchez LM; Alazzam A; Burnier JV; Stiharu I; Nerguizian V; 34577745
ENCS
10 Formation of oil-particle aggregates: Impacts of mixing energy and duration Ji W; Boufadel M; Zhao L; Robinson B; King T; An C; Zhang BH; Lee K; 34252767
ENCS
11 How Effective Is the Filtration of 'KN95' Filtering Facepiece Respirators During the COVID-19 Pandemic? Brochot C, Saidi MN, Bahloul A 33125464
ENCS

 

Title:Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers
Authors:López RRSánchez LMAlazzam ABurnier JVStiharu INerguizian V
Link:https://pubmed.ncbi.nlm.nih.gov/34577745/
DOI:10.3390/mi12091102
Publication:Micromachines
Keywords:image processingmicrofluidicsmicromixersmixing efficiencynumerical model
PMID:34577745 Category: Date Added:2021-09-28
Dept Affiliation: ENCS
1 Department of Electrical Engineering, École de Technologie Supérieure, 1100 Notre Dame West, Montreal, QC H3C 1K3, Canada.
2 Cancer Research Program, RI-MUHC, McGill University, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada.
3 Department of Engineering, Universidad Autónoma de Querétaro, Cerro de las Campanas, Santiago de Querétaro 76010, Querétaro, Mexico.
4 Department of Mechanical Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates.
5 Department of Mechanical and Industrial Engineering, Concordia University, 1515 Saint Catherine West, Montreal, QC H3G 1M8, Canada.

Description:

The shape and dimensions of a micromixer are key elements in the mixing process. Accurately quantifying the mixing efficiency enables the evaluation of the performance of a micromixer and the selection of the most suitable one for specific applications. In this paper, two methods are investigated to evaluate the mixing efficiency: a numerical model and an experimental model with a software image processing technique. Using two methods to calculate the mixing efficiency, in addition to corroborating the results and increasing their reliability, creates various possible approaches that can be selected depending on the circumstances, resources, amount of data to be processed and processing time. Image processing is an easy-to-implement tool, is applicable to different programming languages, is flexible, and provides a quick response that allows the calculation of the mixing efficiency using a process of filtering of images and quantifying the intensity of the color, which is associated with the percentage of mixing. The results showed high similarity between the two methods, with a difference ranging between 0 and 6% in all the evaluated points.





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