کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6467901 1423261 2017 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Frequency domain constrained optimization of boundary control action for maximization of mixing in channel flow
ترجمه فارسی عنوان
دامنه فرکانس محدودیت بهینه سازی عمل کنترل مرزی برای حداکثر مخلوط شدن در جریان کانال است
کلمات کلیدی
بهینه سازی محدود، سیستم های پارامتر توزیع شده، مخلوط هیدرودینامیک، سیستم های بی نهایت، الکترو اسمز،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


- Developed a constrained optimization approach for maximization of mixing due to electro-osmosis.
- Dynamic voltage inputs (amplitude, phase and frequency) that maximize mixing are determined.
- Developed an infinite-dimensional system to describe the relationship between hydrodynamics and electro-osmotic slip velocities.
- Constructed a virtual output that allows for hydrodynamic mixing maximization to be conducted in the frequency domain.
- The effects of Reynolds number, electrode size, spacing, and number of electrodes were studied.

Improving mixing is one of the important goals in flow control, e.g., to decrease concentration polarization in membrane systems to reduce fouling. As with many distributed parameter systems, fluid flow can be controlled using boundary value manipulation. Fluid manipulation using electro-osmosis is studied in this work, where several cylindrical electrodes are used to create multiple spatially non-uniform time-varying electric fields. The proposed approach converts the distributed parameter system into an infinite-dimensional system by spatial and spectral discretization. A virtual output variable is constructed to allow the optimization of a mixing objective function to be conducted using frequency response analysis, with consideration of the constraints of conservation of charge. The solution obtained in this paper is the input profile that provides the greatest achievable ratio of time-average dissipation function to time-average input energy satisfying the input constraints.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 158, 2 February 2017, Pages 1-20
نویسندگان
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