دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 200 سازه‌/مکانیک جامدات/دینامیک جامدات/ارتعاشات/ایروالاستیسیته/... بررسی و مقایسه هسته متخلخل و ویسکوالاستیک در فرکانس‌های طبیعی سازه ساندویچی در راستای افزایش استحکام و ایمنی سازه‌های دفاعی بررسی و مقایسه هسته متخلخل و ویسکوالاستیک در فرکانس‌های طبیعی سازه ساندویچی در راستای افزایش استحکام و ایمنی نادری علی اصغر 1 تیموری هادی 2 پورسیفی مهدی 3 دانشکده مهندسی و پرواز، دانشگاه افسری امام علی، تهران، ایران گروه مهندسی مکانیک، دانشکده مهندسی مکانیک، دانشگاه تبریز، تبریز، ایران دانشکده مهندسی پرواز، دانشگاه افسری امام علی، تهران، ایران 22 11 2025 4 2 1 26 02 08 2025 10 09 2025 2025 https://jasd.khadu.ir/article_200.html

امنیت و بقاپذیری سازه‌های دفاعی در برابر بارهای دینامیکی شدید مانند موج انفجار و ضربه، یک اولویت اساسی در طراحی‌های نوین است. پانل‌های ساندویچی به دلیل نسبت استثنایی استحکام به وزن و ظرفیت بالای جذب انرژی، به عنوان یکی از گزینه‌های اصلی در این حوزه مطرح هستند. این پژوهش به بررسی و مقایسه تأثیر دو نوع هسته پرکاربرد، یعنی هسته متخلخل و هسته ویسکوالاستیک بر فرکانس‌های طبیعی سازه (تیر) ساندویچی می‌پردازد. هدف اصلی این مطالعه، ارزیابی پتانسیل این هسته‌ها در افزایش استحکام و ایمنی سازه‌های دفاعی از طریق تحلیل رفتار ارتعاشی آن‌ها است. پژوهش حاضر از مدل‌سازی ‌تحلیلی برای انجام تحلیل و بررسی فرکانس‌های طبیعی استفاده می‌کند، بطوریکه با استفاده از تئوری سه لایه تیر ساندویچی و به کمک اصل همیلتون معادلات حاکم بر سیستم بدست می‌آیند. معادلات به‌دست آمده به صورت معادلات دیفرانسیل پیچیده با مشتقات جزئی می‌باشند که برای حل این معادلات تعادل، از روش‌ نیمه‌تحلیلی ناویر در حوزه‌ی مکان استفاده شده است. به ﻣﻨﻈﻮر ﺑﺮرﺳﻲ ﺻﺤﺖ و دﻗﺖ ﻧﺘﺎﻳﺞ به‌دست آمده، ﻣﻘﺎﻳﺴﻪای ﺑﺎ ﺟﻮاب‌های ﻣﻮﺟﻮد ﺑﺮای ﺣﺎﻻت ﺧﺎص ارائه گردیده است. در انتها تاثیر پارامترهای مختلف همچون درصد حجمی نانو لوله کربنی، ضریب تخلخل، الگوی توزیع تخلخل، نسبت پارامترهای هندسی و ابعادی بر روی فرکانس‌های طبیعی سازه ساندویچی با هسته متخلخل و ویسکوالاستیک و رویه‌های نانوکامپوزیتی بررسی شده است. از جمله نتایج مهم حاصل از این تحقیق این است که در بیشتر مواقع، هسته ویسکوالاستیک دارای فرکانس طبیعی و استحکام بیشتری نسبت به هسته متخلخل می‌باشد.

 فرکانس طبیعی هسته متخلخل هسته ویسکوالاستیک تیر ساندویچی اصل‌ همیلتون [1]. Teymouri H, Biglari H. Elastodynamic Green's functions for sandwich panels with aluminum foam core and transversely isotropic face sheets using potential functions method. Engineering Analysis with Boundary Elements. 2024, 160, 258-272. [2]. Reddy JN. Mechanics of laminated composite plates and shells: theory and analysis. CRC press. 2004. [3]. Yang J, Chen Y, Xiang Y, Jia X. Free and forced vibration of cracked inhomogeneous beams under an axial force and a moving load. Journal of Sound and Vibration. 2008, 312(1), 166-181. [4]. Rahnama M, Morad Sheikhi M, Hamzeloo SR. Free vibration behavior of three-skin conical shells with composite lattice core based on semi-analytical and finite element methods. Aerospace Mechanics. 2024, 20(3), 75-86, (In Persian). [5]. Şimşek M, Kocatürk T. Free and forced vibration of a functionally graded beam subjected to a concentrated moving harmonic load. Composite Structures. 2009, 90(4), 465-473. [6]. Safaei B, Onyibo EC, Goren M, Kotrasova K, Yang Z, Arman S, Asmael M. Free vibration investigation on RVE of proposed honeycomb sandwich beam and material selection optimization. Facta Universitatis, Series: Mechanical Engineering. 2023, 21(1), 31-50. [7]. Belkhodja MEA, Chorfi SM, Belalia SA, Belkhodja Y. Bending and free vibrations analysis of sandwich beams with porous functionally graded face sheets and a graphene platelets-reinforced aluminum core using a new quasi-3D beam theory. Journal of Vibration Engineering & Technologies. 2025, 13(1), 122. [8]. Dzenis Y. Structural nanocomposites. Science. 2008, 319(5862), 419-420. [9]. Ke L-L, Yang J, Kitipornchai S. Nonlinear free vibration of functionally graded carbon nanotube-reinforced composite beams. Composite Structures. 2010, 92(3), 676-683. [10]. Ebrahimi F, Dabbagh A, Rastgoo A. Free vibration analysis of multi-scale hybrid nanocomposite plates with agglomerated nanoparticles. Mechanics Based Design of Structures and Machines. 2021, 49(4), 487-510. [11]. Zandi-Baghche-Maryam A, Hosseini M. Analytical Analysis for Free Vibration of Different Arrangements of BNNTs under Initially Stress. Aerospace Mechanics. 2019, 15(3), 33-46, (In Persian). [12]. Heshmati M, Yas MH. Dynamic analysis of functionally graded multi-walled carbon nanotube-polystyrene nanocomposite beams subjected to multi-moving loads. Materials and Design. 2013, 49, 894–904. [13]. Tahami FV, Biglari H, Raminnea M. Optimum design of FGX-CNT-reinforced reddy pipes conveying fluid subjected to moving load. Journal of Applied and Computational Mechanics. 2016,  2(4), 243–253. [14]. Kitipornchai S, Chen D, Yang J. Free vibration and elastic buckling of functionally graded porous beams reinforced by graphene platelets. Materials and Design. 2017, 116, 656–665. [15]. Mirjavadi SS, Afshari BM, Barati MR, Hamouda AMS. Transient response of porous inhomogeneous nanobeams due to various impulsive loads based on nonlocal strain gradient elasticity. International Journal of Mechanics and Materials in Design. 2020, 16(1), 57–68. [16]. Li Y, Yao W, Wang T. Free flexural vibration of thin-walled honeycomb sandwich cylindrical shells. Thin-Walled Structures. 2020, 157, 107032. [17]. Lakes R. Viscoelastic materials. Cambridge university press. 2009. [18]. Meunier M, Shenoi RA. Dynamic analysis of composite sandwich plates with damping modelled using high-order shear deformation theory. Composite Structures. 2001, 54(2-3), 243-454. [19]. Won SG, Bae SH, Cho JR, Bae SR, Jeong WB. Three-layered damped beam element for forced vibration analysis of symmetric sandwich structures with a viscoelastic core. Finite Elements in Analysis and Design. 2013, 68, 39-51. [20]. Teymouri H, Biglari H, Sadeghi MH. Effects of Frequency Dependency of Materials Behavior on the Dynamic Response of the Viscoelastic Beam Under the Moving Mass. International Journal of Structural Stability and Dynamics. 2025, 2650266. [21]. Ghorbanpour Arani A, Haghparast E, Ghorbanpour Arani AH. Size‐dependent vibration of double‐bonded carbon nanotube‐reinforced composite microtubes conveying fluid under longitudinal magnetic field. Polymer Composites. 2016, 37(5), 1375-1383. [22]. Frostig Y, Baruch M, Vilnay O, Sheinman I. High-order theory for sandwich-beam behavior with transversely flexible core. Journal of Engineering Mechanics. 1992, 118(5), 1026-1043. [23]. Ke LL, Yang J, Kitipornchai S. Nonlinear free vibration of functionally graded carbon nanotube-reinforced composite beams. Composite Structures. 2010, 92(3), 676-683. [24]. Mohammadimehr M, Okhravi SV, Akhavan Alavi SM. Free vibration analysis of magneto-electro-elastic cylindrical composite panel reinforced by various distributions of CNTs with considering open and closed circuits boundary conditions based on FSDT. Journal of Vibration and Control. 2018, 24(8), 1551-1569. [25]. Biglari H, Teymouri H, Shokouhi A. Dynamic Response of Sandwich Beam with Flexible Porous Core Under Moving Mass. Mechanics of Composite Materials. 2024, 60(1), 163-182. [26]. Yang M, Qiao P. Higher-order impact modeling of sandwich structures with flexible core. International Journal of Solids and Structures. 2005, 42, 5460-5490. [27]. Bilasse M, Daya EM, Azrar L. Linear and nonlinear vibrations analysis of viscoelastic sandwich beams. Journal of Sound and Vibration. 2010, 329(23), 4950-4969. [28]. Amirzdeh, M., Hosseini Moradi, S. A., ghobadi, N. Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 2023; 14(1): 11-22 [29]. Sepehri, M., abbasi, M. Reinforcement of structures against explosion by providing suitable structural shape and determining the type of the optimal fibers in concrete mix. Aerospace Defense, 2025; 4(1): 1-21. [1]. Teymouri H, Biglari H. Elastodynamic Green's functions for sandwich panels with aluminum foam core and transversely isotropic face sheets using potential functions method. Engineering Analysis with Boundary Elements. 2024, 160, 258-272. [2]. Reddy JN. Mechanics of laminated composite plates and shells: theory and analysis. CRC press. 2004. [3]. Yang J, Chen Y, Xiang Y, Jia X. Free and forced vibration of cracked inhomogeneous beams under an axial force and a moving load. Journal of Sound and Vibration. 2008, 312(1), 166-181. [4]. Rahnama M, Morad Sheikhi M, Hamzeloo SR. Free vibration behavior of three-skin conical shells with composite lattice core based on semi-analytical and finite element methods. Aerospace Mechanics. 2024, 20(3), 75-86, (In Persian). [5]. Şimşek M, Kocatürk T. Free and forced vibration of a functionally graded beam subjected to a concentrated moving harmonic load. Composite Structures. 2009, 90(4), 465-473. [6]. Safaei B, Onyibo EC, Goren M, Kotrasova K, Yang Z, Arman S, Asmael M. Free vibration investigation on RVE of proposed honeycomb sandwich beam and material selection optimization. Facta Universitatis, Series: Mechanical Engineering. 2023, 21(1), 31-50. [7]. Belkhodja MEA, Chorfi SM, Belalia SA, Belkhodja Y. Bending and free vibrations analysis of sandwich beams with porous functionally graded face sheets and a graphene platelets-reinforced aluminum core using a new quasi-3D beam theory. Journal of Vibration Engineering & Technologies. 2025, 13(1), 122. [8]. Dzenis Y. Structural nanocomposites. Science. 2008, 319(5862), 419-420. [9]. Ke L-L, Yang J, Kitipornchai S. Nonlinear free vibration of functionally graded carbon nanotube-reinforced composite beams. Composite Structures. 2010, 92(3), 676-683. [10]. Ebrahimi F, Dabbagh A, Rastgoo A. Free vibration analysis of multi-scale hybrid nanocomposite plates with agglomerated nanoparticles. Mechanics Based Design of Structures and Machines. 2021, 49(4), 487-510. [11]. Zandi-Baghche-Maryam A, Hosseini M. Analytical Analysis for Free Vibration of Different Arrangements of BNNTs under Initially Stress. Aerospace Mechanics. 2019, 15(3), 33-46, (In Persian). [12]. Heshmati M, Yas MH. Dynamic analysis of functionally graded multi-walled carbon nanotube-polystyrene nanocomposite beams subjected to multi-moving loads. Materials and Design. 2013, 49, 894–904. [13]. Tahami FV, Biglari H, Raminnea M. Optimum design of FGX-CNT-reinforced reddy pipes conveying fluid subjected to moving load. Journal of Applied and Computational Mechanics. 2016,  2(4), 243–253. [14]. Kitipornchai S, Chen D, Yang J. Free vibration and elastic buckling of functionally graded porous beams reinforced by graphene platelets. Materials and Design. 2017, 116, 656–665. [15]. Mirjavadi SS, Afshari BM, Barati MR, Hamouda AMS. Transient response of porous inhomogeneous nanobeams due to various impulsive loads based on nonlocal strain gradient elasticity. International Journal of Mechanics and Materials in Design. 2020, 16(1), 57–68. [16]. Li Y, Yao W, Wang T. Free flexural vibration of thin-walled honeycomb sandwich cylindrical shells. Thin-Walled Structures. 2020, 157, 107032. [17]. Lakes R. Viscoelastic materials. Cambridge university press. 2009. [18]. Meunier M, Shenoi RA. Dynamic analysis of composite sandwich plates with damping modelled using high-order shear deformation theory. Composite Structures. 2001, 54(2-3), 243-454. [19]. Won SG, Bae SH, Cho JR, Bae SR, Jeong WB. Three-layered damped beam element for forced vibration analysis of symmetric sandwich structures with a viscoelastic core. Finite Elements in Analysis and Design. 2013, 68, 39-51. [20]. Teymouri H, Biglari H, Sadeghi MH. Effects of Frequency Dependency of Materials Behavior on the Dynamic Response of the Viscoelastic Beam Under the Moving Mass. International Journal of Structural Stability and Dynamics. 2025, 2650266. [21]. Ghorbanpour Arani A, Haghparast E, Ghorbanpour Arani AH. Size‐dependent vibration of double‐bonded carbon nanotube‐reinforced composite microtubes conveying fluid under longitudinal magnetic field. Polymer Composites. 2016, 37(5), 1375-1383. [22]. Frostig Y, Baruch M, Vilnay O, Sheinman I. High-order theory for sandwich-beam behavior with transversely flexible core. Journal of Engineering Mechanics. 1992, 118(5), 1026-1043. [23]. Ke LL, Yang J, Kitipornchai S. Nonlinear free vibration of functionally graded carbon nanotube-reinforced composite beams. Composite Structures. 2010, 92(3), 676-683. [24]. Mohammadimehr M, Okhravi SV, Akhavan Alavi SM. Free vibration analysis of magneto-electro-elastic cylindrical composite panel reinforced by various distributions of CNTs with considering open and closed circuits boundary conditions based on FSDT. Journal of Vibration and Control. 2018, 24(8), 1551-1569. [25]. Biglari H, Teymouri H, Shokouhi A. Dynamic Response of Sandwich Beam with Flexible Porous Core Under Moving Mass. Mechanics of Composite Materials. 2024, 60(1), 163-182. [26]. Yang M, Qiao P. Higher-order impact modeling of sandwich structures with flexible core. International Journal of Solids and Structures. 2005, 42, 5460-5490. [27]. Bilasse M, Daya EM, Azrar L. Linear and nonlinear vibrations analysis of viscoelastic sandwich beams. Journal of Sound and Vibration. 2010, 329(23), 4950-4969. [28]. Amirzdeh, M., Hosseini Moradi, S. A., ghobadi, N. Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 2023; 14(1): 11-22 [29]. Sepehri, M., abbasi, M. Reinforcement of structures against explosion by providing suitable structural shape and determining the type of the optimal fibers in concrete mix. Aerospace Defense, 2025; 4(1): 1-21.
دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 203 تعمیر و نگهداری موتور، بال و بدنه وسایل پرنده های بدون سرنشین/تکنولوژی/ساخت/... تحلیل تطبیقی عملکرد موتورهای روتکس ۹۱۲ با کاربراتور و انژکتور سوخت در شرایط پروازی ارتفاع بال تحلیل تطبیقی عملکرد موتورهای روتکس ۹۱۲ با کاربراتور و انژکتور سوخت در شرایط پروازی ارتفاع بال سالاری سید علی 1 امّی فتح اله 2 دانشجو دکتری هوافضا، دانشکده مهندسی هوافضا پردیس بین المللی کیش دانشگاه تهران عضو هیات علمی، گروه هوافضا، دانشکده مهندسی مکانیک دانشگاه تربیت مدرس 22 11 2025 4 2 27 50 11 08 2025 15 10 2025 2025 https://jasd.khadu.ir/article_203.html

عملکرد موتورهای هواپیمای تنفس طبیعی با افزایش ارتفاع به دلیل کاهش فشار و چگالی هوا به طور قابل توجهی افت می‌کند که بر توان، گشتاور، فشار درون سیلندر و دمای احتراق تأثیر می‌گذارد. این مطالعه یک تحلیل تطبیقی از نسخه‌های کاربراتوری (Rotax 912 ULS) و انژکتور سوخت (Rotax 912iS) موتور روتکس ۹۱۲ را با استفاده از شبیه‌سازی‌های GT-SUITE در ارتفاعات تا ۹,۱۵۰ متر ارائه می‌دهد. نتایج نشان می‌دهد که موتور کاربراتوری به دلیل ترکیب ثابت سوخت و هوا، در ارتفاعات بالا تا ۸۰٪ کاهش توان را تجربه می‌کند، در حالی که موتور انژکتور سوخت با تنظیم پویا و لحظه‌ای میزان سوخت، عملکرد پایدارتری را حفظ می‌کند. همچنین سیستم انژکتور سوخت (EFI) فشار درون سیلندر و پایداری احتراق را در شرایط کمبود اکسیژن بهتر حفظ می‌کند. اگرچه انژکتور سوخت کاهش عملکرد را مؤثرتر از کاربراتور کاهش می‌دهد، هر دو پیکربندی در ارتفاعات بالا افت قابل توجهی را نشان می‌دهند که محدودیت‌های ذاتی موتورهای تنفس طبیعی را برجسته می‌کند. این یافته‌ها بر اهمیت روش‌های پیشرفته جبران ارتفاع - مانند توربوشارژر یا نقشه‌برداری بهینه انژکتور سوخت (EFI) - برای افزایش قابلیت اطمینان و کارایی در عملیات پروازی در ارتفاعات بالا تأکید می‌کند.

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[17]      S. Davari and S. E. Hosseini, “A review on the oxygenated fuels on engine performance parameters and emissions of spark ignition engines,” OSF, 2025, doi: https://doi.org/10.31219/osf.io/r2e7f_v1. [18]      W. C. Koh, N. M. Mazlan, P. Rajendran, and M. A. Ismail, “A Computational Study to Investigate the Effect of Altitude on Deteriorated Engine Performance,” IOP Conf. Ser. Mater. Sci. Eng., vol. 370, no. 1, p. 012001, May 2018, doi: 10.1088/1757-899X/370/1/012001. [19]      Y. F. Gorgulu, B. Sahin, S. Ekici, and T. H. Karakoc, “Altitude-Dependent Analysis of Combustion Performance and Emissions in a Commercial Aircraft Engine Leveraging Real Engine Data,” Int. J. Aeronaut. Sp. Sci., pp. 1–17, Jun. 2025, doi: 10.1007/S42405-025-00982-Y/TABLES/3. [20]      S. E. Hosseini and F. Salehi, “Analyzing overlap ratio effect on performance of a modified Savonius wind turbine,” Phys. Fluids, vol. 35, no. 12, Dec. 2023, doi: 10.1063/5.0180735/2929698. [21]      D. Jamshidi, D. P. 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دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 211 مکانیک دفاعی/ناوبری/کنترل/... تخمین وضعیت و سمت پهپاد با استفاده از کواترنیون و فیلتر ذره‌ای تخمین وضعیت و سمت پهپاد با استفاده از کواترنیون و فیلتر ذره‌ای موذن علی اصغر 1 هاونگی رمضان 1 دانشگاه بیرجند 22 11 2025 4 2 51 86 26 06 2025 29 11 2025 2025 https://jasd.khadu.ir/article_211.html

تخمین دقیق وضعیت و سمت پهپاد‌ها، به‌عنوان یکی از چالش‌های اصلی در سیستم‌های ناوبری خودکار، نقش حیاتی در کنترل و هدایت این وسایل ایفا می‌کند. در این مقاله، برای تخمین وضعیت پهپاد‌ها از فیلتر ذره‌ای مبتنی بر کواترنیون، یک روش نمونه‌برداری خاص و فیلتر کالمن بی‌اثر استفاده شده است. این روش‌ها با تلفیق داده‌های سنسورهای اینرسی و به‌کارگیری فیلترینگ، دقت تخمین زوایای غلت، فراز و سمت را به طور قابل‌توجهی افزایش می‌دهند. نوآوری این مقاله در مقایسه جامع عملکرد فیلتر ذره‌ای و فیلتر کالمن بی‌اثر در دو سناریوی مختلف، شامل داده‌های شبیه‌سازی‌شده و داده‌های واقعی است که از یک سیستم مرجع وضعیت و سمت خاص جمع‌آوری شده‌اند. نتایج نشان می‌دهند که فیلتر ذره‌ای در تخمین زوایای غلت و سمت بهبودی بیش از ۹۹٫۹۹٪ در داده‌های شبیه‌سازی‌شده و بیش از ۸۸٫۴۸٪ در داده‌های واقعی نشان داده است. همچنین، تحلیل معیارهای واریانس و انحراف استاندارد خطا تأیید می‌کند که فیلتر ذره‌ای در کاهش پراکندگی خطاها موفق‌تر عمل کرده است، به‌طوری‌که برای زاویه سمت، واریانس خطا در فیلتر ذره‌ای حدود ۱۰۰ برابر کمتر از فیلتر کالمن بی‌اثر بوده است. از سوی دیگر، فیلتر کالمن بی‌اثر در تخمین زاویه فراز عملکردی کمی بهتر از فیلتر ذره‌ای نشان داده است. این یافته‌ها حاکی از آن است که ترکیب این دو فیلتر می‌تواند به‌عنوان یک راه‌حل کارآمد در سیستم‌های ناوبری دقیق پهپادها مورد استفاده قرار گیرد. روش بازنمونه‌گیری به کار گرفته شده در فیلتر ذره‌ای نیز دقت تخمین زوایای غلت و سمت را به طور چشمگیری افزایش داده است.

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M. Kuritsky, M. S. Goldstein, I. A. Greenwood, H. Lerman, J. E. McCarthy, and T. Shanahan, Inertial navigation, Proceedings of the IEEE, vol. 71, no.10, Oct, 1983. [13] X. Ye, F. Song, Z. Zhang, and Q. Zeng, A Review of Small UAV Navigation System Based on Multisource Sensor Fusion, IEEE Sensors Journal, vol.23,no.17,1Sep,2023. [14] R. Munguia and A. Grau, An Attitude and Heading Reference System (AHRS) based in a dual filter, IEEE in ETFA2011, 24 Oct, 2011. [15] Abbasi and M. Haeri, Accuracy Improvement of GPS/INS Navigation System Using Extended Kalman Filter, IEEE, in 6th International Conference on Control, Instrumentation and Automation (ICCIA), 12 Mar,2020. [16] G.-L. He, T. S.-Qian, S. Qiang, and Z. Pian, Research on Calibration and Parameter Compensation of MEMS Inertial Sensors Based on Error Analysis, IEEE, in Fifth International Symposium on Computational Intelligence and Design, 10 Jan, 2013. [17] K. P. B. Chandra and D.-W. 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Eng., Univ. of Akron,2019.  [1] C. Hajiyev, H. E. Soken, and S. Y. Vural, State Estimation and Control for Low-cost Unmanned AerialVehicles,Springer,2015. [2] S. Sokolov, A. Sukhanov, and M. Polyakova, High-Precision Navigation on Analytical Trajectories Using Strapdown Inertial-Satellite Navigation System, IEEE, in International Russian Automation Conference ,27 Sep,2020. [3] D. H. Titterton and J. L. Weston, Strapdown Inertial Navigation Technology,         2nd. Institution of Engineering and Technology,2004. [4] A. E. Dziadczyk, W. Zabierowski, and A. Napieralski, Satellite Navigation System GPS, IEEE,9th International Conference the Experience of Designing and Applications of CAD Systems in Microelectronics, 4 Sep,2007. [5] M. S. Grewal, A. P. Andrews, and C. G. Bartone, Global Navigation Satellite Systems Inertial Navigation and Integration, Wiley Telecom,2020. [6] K. Papfotis and P. P. Sotriadis, Long-Term Accurate Navigation AlgorithmUsing Inertial and Magnetic Field Sensor Fusion, IEEE Access, 5 Nov, 2023. [7] M. Hlas and J. Straub, Autonomous navigation and control of unmanned aerial systems in the national airspace, IEEE Aerospace Conference, 30  Jun, 2016. [8] Mishra and P. Palanisamy, Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond, IEEE Access, vol. 11,5 Dec, 2023. [9] M. Xie, C. Song, J. Wang, X. Wu, M. Li, and J. Xu, Unmanned Ground Vehicle Autonomous Navigation in Unknown Indoor Environments, IEEE,3rd International Conference on Electronic Technology, Communication and Information (ICETCI), 17 Jul,2023. [10] K. Tian and K. Mirza, Sensor Fusion for Octagon an Indoor and Outdoor Autonomous Mobile Robot, IEEE in International System Conference,16May, 2022. [11] A. B. Phillips, G. Salavasidis, et al, Autonomous Surface/Subsurface Survey System Field Trials, in Autonomous Underwater Vehicle workshop, 6 Jun,2019. [12] M. M. Kuritsky, M. S. Goldstein, I. A. Greenwood, H. Lerman, J. E. McCarthy, and T. Shanahan, Inertial navigation, Proceedings of the IEEE, vol. 71, no.10, Oct, 1983. [13] X. Ye, F. Song, Z. Zhang, and Q. Zeng, A Review of Small UAV Navigation System Based on Multisource Sensor Fusion, IEEE Sensors Journal, vol.23,no.17,1Sep,2023. [14] R. Munguia and A. Grau, An Attitude and Heading Reference System (AHRS) based in a dual filter, IEEE in ETFA2011, 24 Oct, 2011. [15] Abbasi and M. Haeri, Accuracy Improvement of GPS/INS Navigation System Using Extended Kalman Filter, IEEE, in 6th International Conference on Control, Instrumentation and Automation (ICCIA), 12 Mar,2020. [16] G.-L. He, T. S.-Qian, S. Qiang, and Z. Pian, Research on Calibration and Parameter Compensation of MEMS Inertial Sensors Based on Error Analysis, IEEE, in Fifth International Symposium on Computational Intelligence and Design, 10 Jan, 2013. [17] K. P. B. Chandra and D.-W. 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دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 212 مقاله پژوهشی تحلیل عددی تاثیر پارامترهای واترجکت در خنک کاری یک پمپ موتور محصور تحلیل عددی تاثیر پارامترهای واترجکت در خنک کاری یک پمپ موتور محصور فریدونی جلیل 1 عدمی محمود 2 محمدیان عباس 3 استادیار دانشگاه صنعتی مالک اشتر، اصفهان، ایران مجتمع مکانیک دانشگاه صنعتی مالک اشتر، اصفهان، ایران 22 11 2025 4 2 87 106 15 10 2025 14 12 2025 2025 https://jasd.khadu.ir/article_212.html

این پژوهش به تحلیل و بررسی عملکرد حرارتی سیستم خنک‌کننده یک پمپ موتور محصور می‌پردازد. با توجه به محدودیت‌های دمایی تعیین ‌شده در استاندارد IEC برای عایق سیم‌پیچ، که تجاوز از آن موجب تخریب عایق و اختلال در عملکرد موتور می‌شود، نقش حیاتی سیستم خنک‌کننده بیش از پیش آشکار می‌گردد. در این میان، واترجکت به عنوان جزء اصلی سیستم خنک‌کننده، دو عملکرد اساسی بر عهده دارد: خنک‌کاری پوسته موتور و خنک‌سازی جریان سیال عبوری از داخل موتور. به منظور کاهش پیچیدگی محاسبات، پوسته موتور با در نظر گرفتن شرایط مرزی حرارتی مناسب مدل‌سازی شده و اثر واترجکت در دبی‌های kg/s5/0 و 3/0 و 1/0 و جریان کویل در دبی‌های kg/s 15/0 و 1/0 و 05/0با قطرهای مختلف مورد تحلیل قرار گرفته است. حرارت تولیدشده در اجزای مختلف موتور به صورت شار حرارتی بر سطح داخلی پوسته اعمال گردیده است. نتایج تحقیق نشان می‌دهد که با افزایش دبی واترجکت، مقادیر دمای پوسته و دمای سیال خروجی کویل روند کاهشی مشخصی دارند. در مقابل، افزایش دبی کویل موجب افزایش دمای خروجی کویل می‌شود. همچنین استفاده از مخلوط آب و ضدیخ در مقایسه با آب خالص، منجر به افزایش دمای پوسته می‌گردد. کمترین دمای پوسته در شرایط دبی کویل kg/s 05/0 و دبی واترجکت kg/s5/0 حاصل شده است. از جنبه هیدرودینامیکی، مقادیر افت فشار با افزایش دبی واترجکت، روند صعودی نشان می‌دهد.

 پمپ موتور محصور واترجکت تحلیل حرارتی حل عددی بروش CFD Magar SM, Gugliani GK, Navthar RR. Experimental Heat Transfer Analysis of Helical Coiled Tubes on the Basis of Variation in Curvature Ratio and Geometry. Journal of Heat and Mass Transfer Research. 2024 Jun 1;11(1):89-108. NAJM A, AZZAWI ID, KARIM AM. Experimental and numerical investigation of heat transfer enhancement in double coil heat exchanger. Journal of Thermal Engineering. 2024 Jan 1;10(1):62-77. Inyang UE, Uwa IJ. Heat transfer in helical coil heat exchanger. Advances in Chemical Engineering and Science. 2021 Dec 9;12(1):26-39. Maghrabie HM, Attalla M, Mohsen AA. Performance assessment of a shell and helically coiled tube heat exchanger with variable orientations utilizing different nanofluids. Applied Thermal Engineering. 2021 Jan 5;182:116013. Kumar A, Pandey V. CFD analysis of shell and coil heat exchanger by using different mass flow rates for hot and cold fluid. Int J Res Appl Sci Eng Technol. 2022;10(11):1592-608. Kowalski K, Downarowicz D. Heat transfer in helical coil heat exchanger: An experimental parametric study. Chemical and Process Engineering. 2019:101-14. Afzal A, AD MS, RK AR. Experimental investigation of thermal performance of engine coolant oil and water in helical coil heat exchanger. Journal of Engineering Research. 2019 Jun 2;7(2). Alimoradi A, Veysi F. Prediction of heat transfer coefficients of shell and coiled tube heat exchangers using numerical method and experimental validation. International journal of thermal sciences. 2016 Sep 1;107:196-208. Zakeralhoseini S, Sajadi B, Behabadi MA, Azarhazin S, Fazelnia H. Experimental investigation of the heat transfer coefficient and pressure drop of R1234yf during flow condensation in helically coiled tubes. International Journal of Thermal Sciences. 2020 Nov 1;157:106516. Xie L, Xie Y, Yu J. Phase distributions of boiling flow in helical coils in high gravity. International Journal of Heat and Mass Transfer. 2015 Jan 1;80:7-15. Tuncer AD, Sözen A, Khanlari A, Gürbüz EY, Variyenli Hİ. Analysis of thermal performance of an improved shell and helically coiled heat exchanger. Applied Thermal Engineering. 2021 Feb 5;184:116272. Yamamoto K, Yanase S, Yoshida T. Torsion effect on the flow in a helical pipe. Fluid Dynamics Research. 1994 Nov 1;14(5):259.[12] Karmankar RG. Enhancement of heat transfer coefficient through helical coil. International Research Journal of Engineering and Technology (IRJET). 2015;2(09):2125-9. Naphon P, Wongwises S. A review of flow and heat transfer characteristics in curved tubes. Renewable and sustainable energy reviews. 2006 Oct 1;10(5):463-90. Ali ME. Experimental investigation of natural convection from vertical helical coiled tubes. International journal of heat and mass transfer. 1994 Mar 1;37(4):665-71. Ghorbani N, Taherian H, Gorji M, Mirgolbabaei H. An experimental study of thermal performance of shell-and-coil heat exchangers. International Communications in Heat and Mass Transfer. 2010 Aug 1;37(7):775-81. Ghorbani N, Taherian H, Gorji M, Mirgolbabaei H. Experimental study of mixed convection heat transfer in vertical helically coiled tube heat exchangers. Experimental Thermal and Fluid Science. 2010 Oct 1;34(7):900-5. Shokouhmand H, Salimpour MR, Akhavan-Behabadi MA. Experimental investigation of shell and coiled tube heat exchangers using Wilson plots. International communications in heat and mass transfer. 2008 Jan 1;35(1):84-92. Lu Y, Mustafa A, Abdullah Rehan M, Razzaq S, Ali S, Shahid M, Waleed Adnan A. The effects of water friction loss calculation on the thermal field of the canned motor. Processes. 2019 May 3;7(5):256. Li J, Song JT, Cho YH. Thermal analysis of canned induction motor for coolant pump considering the eddy current loss in cans. InMaterials Science Forum 2011 Feb 16 (Vol. 670, pp. 466-476). Trans Tech Publications Ltd. Amirzdeh, M., Hosseini Moradi, S. A., ghobadi, N. Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 2023; 14(1): 11-22.. Chen Q, Shao H, Huang J, Sun H, Xie J. Analysis of temperature field and water cooling of outer rotor in-wheel motor for electric vehicle. IEEE Access. 2019 Sep 25;7:140142-51. Magar SM, Gugliani GK, Navthar RR. Experimental Heat Transfer Analysis of Helical Coiled Tubes on the Basis of Variation in Curvature Ratio and Geometry. Journal of Heat and Mass Transfer Research. 2024 Jun 1;11(1):89-108. NAJM A, AZZAWI ID, KARIM AM. Experimental and numerical investigation of heat transfer enhancement in double coil heat exchanger. Journal of Thermal Engineering. 2024 Jan 1;10(1):62-77. Inyang UE, Uwa IJ. Heat transfer in helical coil heat exchanger. Advances in Chemical Engineering and Science. 2021 Dec 9;12(1):26-39. Maghrabie HM, Attalla M, Mohsen AA. Performance assessment of a shell and helically coiled tube heat exchanger with variable orientations utilizing different nanofluids. Applied Thermal Engineering. 2021 Jan 5;182:116013. Kumar A, Pandey V. CFD analysis of shell and coil heat exchanger by using different mass flow rates for hot and cold fluid. Int J Res Appl Sci Eng Technol. 2022;10(11):1592-608. Kowalski K, Downarowicz D. Heat transfer in helical coil heat exchanger: An experimental parametric study. Chemical and Process Engineering. 2019:101-14. Afzal A, AD MS, RK AR. Experimental investigation of thermal performance of engine coolant oil and water in helical coil heat exchanger. Journal of Engineering Research. 2019 Jun 2;7(2). Alimoradi A, Veysi F. Prediction of heat transfer coefficients of shell and coiled tube heat exchangers using numerical method and experimental validation. International journal of thermal sciences. 2016 Sep 1;107:196-208. Zakeralhoseini S, Sajadi B, Behabadi MA, Azarhazin S, Fazelnia H. Experimental investigation of the heat transfer coefficient and pressure drop of R1234yf during flow condensation in helically coiled tubes. International Journal of Thermal Sciences. 2020 Nov 1;157:106516. Xie L, Xie Y, Yu J. Phase distributions of boiling flow in helical coils in high gravity. International Journal of Heat and Mass Transfer. 2015 Jan 1;80:7-15. Tuncer AD, Sözen A, Khanlari A, Gürbüz EY, Variyenli Hİ. Analysis of thermal performance of an improved shell and helically coiled heat exchanger. Applied Thermal Engineering. 2021 Feb 5;184:116272. Yamamoto K, Yanase S, Yoshida T. Torsion effect on the flow in a helical pipe. Fluid Dynamics Research. 1994 Nov 1;14(5):259.[12] Karmankar RG. Enhancement of heat transfer coefficient through helical coil. International Research Journal of Engineering and Technology (IRJET). 2015;2(09):2125-9. Naphon P, Wongwises S. A review of flow and heat transfer characteristics in curved tubes. Renewable and sustainable energy reviews. 2006 Oct 1;10(5):463-90. Ali ME. Experimental investigation of natural convection from vertical helical coiled tubes. International journal of heat and mass transfer. 1994 Mar 1;37(4):665-71. Ghorbani N, Taherian H, Gorji M, Mirgolbabaei H. An experimental study of thermal performance of shell-and-coil heat exchangers. International Communications in Heat and Mass Transfer. 2010 Aug 1;37(7):775-81. Ghorbani N, Taherian H, Gorji M, Mirgolbabaei H. Experimental study of mixed convection heat transfer in vertical helically coiled tube heat exchangers. Experimental Thermal and Fluid Science. 2010 Oct 1;34(7):900-5. Shokouhmand H, Salimpour MR, Akhavan-Behabadi MA. Experimental investigation of shell and coiled tube heat exchangers using Wilson plots. International communications in heat and mass transfer. 2008 Jan 1;35(1):84-92. Lu Y, Mustafa A, Abdullah Rehan M, Razzaq S, Ali S, Shahid M, Waleed Adnan A. The effects of water friction loss calculation on the thermal field of the canned motor. Processes. 2019 May 3;7(5):256. Li J, Song JT, Cho YH. Thermal analysis of canned induction motor for coolant pump considering the eddy current loss in cans. InMaterials Science Forum 2011 Feb 16 (Vol. 670, pp. 466-476). Trans Tech Publications Ltd. Amirzdeh, M., Hosseini Moradi, S. A., ghobadi, N. Real Time Detection of Multi-Rotor Unmanned Aerial Vehicle Using YOLOv5 Optimized Algorithm. Journal of Advanced Defense Science & Technology, 2023; 14(1): 11-22.. Chen Q, Shao H, Huang J, Sun H, Xie J. Analysis of temperature field and water cooling of outer rotor in-wheel motor for electric vehicle. IEEE Access. 2019 Sep 25;7:140142-51.
دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 223 IT و جنگ سایبری (رمزنگاری و امنیت داده، نفوذ و اختلال در شبکه ‌های اطلاعاتی، رادارها، مقابله با هکرها و...) بهینه‌سازی سناریوهای آزمون ترکیبی سامانه‌های پدافند هوایی با استفاده از آرایه‌های پوششی بهینه‌سازی سناریوهای آزمون ترکیبی سامانه‌های پدافند هوایی با استفاده از آرایه‌های پوششی اسفندیاری سجاد 1 پیرا عین الله 2 یوسفوند لیلا 3 گروه مهندسی کامپیوتر، دانشکده فنی مهندسی، دانشگاه ملایر، ملایر، ایران دانشکده فناوری اطلاعات و مهندسی کامپیوتر، دانشگاه شهید مدنی آذربایجان، تبریز، ایران گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، دانشگاه لرستان، خرم آباد، ایران 23 08 2025 4 2 107 129 24 08 2025 12 02 2026 2025 https://jasd.khadu.ir/article_223.html

در سامانه‌های پدافند هوایی و سایبری، عملکرد نهایی سیستم به تعامل میان چندین پارامتر عملیاتی وابسته است. با این حال، بررسی همه حالت‌های ممکن این پارامترها به‌دلیل رشد نمایی تعداد ترکیب‌ها، از نظر زمان و هزینه امکان‌پذیر نیست. در این پژوهش، رویکردی مبتنی بر آرایه‌های پوششی (Covering Arrays) پیشنهاد می‌شود که برای تولید مجموعه‌ای بهینه از سناریوهای آزمون از الگوریتم کلونی مورچگان تکامل‌یافته (Improved ACO) بهره می‌گیرد. الگوریتم پیشنهادی با استفاده از مکانیزم‌های تقویت انتخاب مسیر و راهبردهای تطبیقی برای به‌روزرسانی فرمون‌ها، توانسته است در مقایسه با نسخه کلاسیک ACO سرعت همگرایی و کیفیت پوشش را بهبود دهد. این روش بر روی یک سامانه پدافند هوایی چندپارامتری شبیه‌سازی شده و نتایج نشان می‌دهد که حجم تست‌ها بیش از ۹۰٪ کاهش یافته، در حالی که تمامی تعاملات t-تایی بحرانی پوشش داده شده‌اند. علاوه بر این، رویکرد ارائه‌شده قابلیت تعمیم به تست سامانه‌های فرماندهی و کنترل، جنگ الکترونیک و شبکه‌های پدافند سایبری را نیز داراست.

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دفاع هوافضایی Khatam Al-Anbia Air Defense Academy دفاع هوافضایی 2821-1553 2821-157X Khatam Al-Anbia Air Defense Academy 257 الکترومغناطیس و الکترونیک و سایبر الکترومغناطیس (اختلال در امواج، جمینگ، امواج میکروویو قوی و...) طراحی آنتن معکوس پذیر مایکرواستریپ بهینه مبتنی بر شبکه عصبی کانولوشنی(CNN) و الگوریتم بهینه سازی گروه ذرات (BPSO) طراحی آنتن معکوس پذیر مایکرواستریپ بهینه مبتنی بر شبکه عصبی کانولوشنی(CNN) و الگوریتم بهینه سازی گروه ذرات (BPSO) ورامینی گوهر 1 نعمتی یاسر 2 اسکندری امین 3 سعیدی فر غلامرضا 4 گروه مهندسی برق، واحد بیضا، دانشگاه آزاد اسلامی، بیضا، ایران گروه مهندسی کامپیوتر، واحد بیضا، دانشگاه آزاد اسلامی، بیضا، ایران. گروه مهندسی کامپیوتر، واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران. گروه مهندسی عمران، واحد بیضا، دانشگاه آزاد اسلامی، بیضا، ایران. 22 11 2025 4 2 130 152 26 06 2025 29 11 2025 2025 https://jasd.khadu.ir/article_257.html

در این پژوهش یک روش طراحی معکوس جدید به منظورطراحی آنتن های مایکرواستریپ ارائه شده است که مدل سازی پیکسلی آنتن شبکه عصبی کانولوشنی (CNN)و الگوریتم بهینه سازی گروه ذرات دودویی(BPSO) را با یکدیگر ترکیب تا فرآیند تولید ساختار آنتن بر اساس مشخصات عملکردی مورد نظر به صورت خودکار انجام شود. این چارچوب از یک روند ساده و منظم پیروی میکند. ابتدا بخش فرستنده امواج آنتن به یک ماتریس دودویی 10×10 تبدیل تا امکان جست و جو در بخش های طراحی ترکیبی فراهم گردد. سپس یک شبکه عصبی کانولوشنی با استفاده از 150هزار داده شبیه سازی شده آموزش داده می شود تا به عنوان جایگزینی سریع برای شبیه سازی های زمان بر الکترومغناطیسی پارامتر های پراکندگی را پیش بینی کند. در ادامه با استفاده از یک تابع برازندگی وضعیت پیکسل ها BPSO الگوریتم را با ضریب اطمینان بالا بهینه و ضریب بازتاب در فرکانس های هدف به حداقل برسد. نمایش بخش فرستنده امواج انتن به صورت پیکسل های دودویی فضای طراحی گسترش می دهد و نقاط ضعف ناشی از طراحی دستی مبتنی بر آزمون و خطا را برطرف می کند . نتایج مقایسه با الگوریتم ژنتیک GA و الگوریتم بازخورد شبیه سازی شده SA نشان می دهد که چارچوب BPSO-CNN دارای سرعت همگرایی بیشتر و خطای کمتر در مقدار ضریب تلفات در فرکانس های هدف است . این پژوهش علاوه بر توسعه روش های هوشمند طراحی آنتن یک الگوی مقیاس پذیر برای بهینه سازی خودکار تجهیزات الکترومغناطیسی اراعه می دهد.

 "انتن مایکرواستریپ" "شبکه عصبی کانولوشنی" "(BPSO)بهینه سازی" "گروه ذرات دودویی" "طراحی معکوس"