Multi-Objective Optimization of HIV Virus Separation from the Blood Sample Using CFD and NSGA II Algorithm

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 183

فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_CHAL-9-1_006

تاریخ نمایه سازی: 24 تیر 1401

چکیده مقاله:

In this study, the Multi-Objective Optimization (MOO) of HIV virus separation from blood sample in a Lab on a Chip (LOC) is investigated using Computational Fluid Dynamics (CFD) and NSGA algorithm. The separation device consists of two horizontal microchannel separated by a porous layer. The flow is controlled by an infinitesimal channel section connected to one of the microchannels. First, using CFD approach, the fluid flow is studied in over ۱۵۰ separation devices with different geometrical parameters. All performance parameters like separation efficiency and pressure drop are calculated. Then, already computed numerical results are targeted by multi-objective genetic algorithm (NSGA II). In optimization process, eight different geometrical and process parameters are considered as optimization variables. Maximum separation efficiency and minimum pressure drop caused by separation are considered as two conflicting optimization objectives. Pareto front is presented to assist design of the efficient separators. Optimization yielded the optimum configuration of the geometrical and process parameters for the highest efficiency and lowest pressure drop in HIV virus separation process.

کلیدواژه ها:

نویسندگان

- -

University of arak

- -

۲School of Engineering, RMIT University, Melbourne, Australia

- -

۳Department of Mechanical Engineering, Amirkabir University of Technology, ۴۲۴, Hafez Ave., P.O. Box ۱۵۹۱۶۳۴۳۱۱, Tehran, Iran

- -

Araku