بهینه‌سازی چند هدفی دماغه اجایو یک پرتابه ازمنظر ضریب پسا و سطح مقطع راداری با استفاده از الگوریتم NSGA-II

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار مهندسی مکانیک، مجتمع آموزش عالی گناباد

2 دکتری مهندسی برق، دانشگاه شاهد

3 دانشگاه آزاد اسلامی واحد بهبهان

4 دکتری مهندسی مکانیک، دانشگاه یزد

چکیده

طراحان سعی می‏کنند که دماغه پرتابه از ضریب پسا کمتری برخوردار باشد اما بسیاری از تغییرات هندسه که باعث کاهش ضریب پسا می‌شوند می‌توانند باعث آشکارسازی سریع‌تر پرتابه ‏گردد. نویسندگان بر آن شدند تا با طراحی بهینه دماغه، ضمن ثابت نگه‌داشتن طول کلی پرتابه‌این مشکل را حداقل نمایند. در این تحقیق دماغه اجایو یک پرتابه با استفاده از الگوریتم ژنتیک چند هدفی بهینه شده است. پرتابه مورد نظر در ماخ 2 و فرکانس 4 تا 6 گیگاهرتز مورد بررسی قرار گرفت. توابع هدف مورد بررسی، توابع سطح مقطع راداری (RSC) و ضریب پسا (CD) می‌باشد. در این کار ابتدا تابع ضریب پسای پرتابه با استفاده از نرم‌افزار فلوئنت محاسبه و با نتایج عددی و تجربی تونل باد مقایسه شده است، همچنین تابع سطح مقطع راداری با استفاده از کد تجاری HFSS محاسبه گردیده است. در نهایت با اجرای الگوریتم بهینه‏سازی چند هدفی، هر دو تابع هدف به‌طور هم‌زمان بهینه شده‏اند و منحنی جبهه پرتو برای آنها به‌دست آمد. این منحنی نشان‌دهنده بهترین نقاط طراحی برای توابع هدف می‌باشد.نتایج نشان می‏دهد اختلاف ضریب پسا و سطح مقطع راداری برای این مدل پیشنهادی نسبت به مدل اولیه به ترتیب 47% و 14% می‏باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Optimization of Radar Cross Section and Drag coefficient of Ogive Nose Using the NSGA-II Algorithm

نویسندگان [English]

  • ُS. M. Javadpour 1
  • B. Rahmati 2
  • e. khorasani nezhad 3
  • R. maryami 4
1 University of Gonabad
2 University of shahed
3 azad University
4 yazd university
چکیده [English]

Designers try to reduce missiles’ drag coefficients, but many of the geometrical changes that reduce the drag coefficient can increase the radar cross section of the missile. So, authors decided to solve this problem by missile optimization. In this study, missile Ogive nose is optimized using multi-objective genetic algorithm while the length of missile is kept constant. Objective functions are drag coefficient and radar cross section (RCS). Ogive nose was tested in mach number of 2.01 and radar systems were designed to operate at high frequencies between
4-6 GHz. The drag coefficient was calculated by CFD code and was compared with experimental results. Then, radar cross section was calculated with the commercial HFSS program. Finally, objective functions were optimized using non-dominate sorting genetic algorithm (NSGA-II) and the objectives were both minimized to establish the Pareto front. Pareto front shows the best possible design points for the objective functions. Compared with the initial model, the optimum model achieves a decrease of 47% and 14% in the drag coefficient and the radar cross section respectively.

کلیدواژه‌ها [English]

  • CFD
  • Drag Coefficient
  • NSGA-II
  • RCS
  • Ogive
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