Aeroelastic Design-Space Exploration for Gust-Energy Harvesting

نویسندگان

چکیده

Research into gust interactions has shown significant potential for extracting energy from the atmosphere. Notably, improvements to gust-energy extractions have been be possible through aeroelastic tailoring. The present work uses a design-space exploration quantify specific structural parameters that provide greatest gains discrete and continuous fields. Using genetic algorithm full-factorial parametric sweep, wing configurations are stiff in bending but flexible torsion were identified best sinusoidal 1-cosine gusts. These designs also subjected von Kármán field, showing same trends as profiles. influence of elastic mass axis locations was much weaker on gain than stiffness parameters. Overall, relative steady-gliding flight performance aircraft 15% achievable

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Design Space Exploration for Energy-Efficient Secure Sensor Network

We consider two of the most important design issues for distributed sensor networks in the battlefield: security for communication in such hostile terrain; and energy efficiency because of battery’s limited capacity and the impracticality of recharging. Communication security is normally provided by encryption, i.e., data are encrypted before transmission and will be decrypted first on receptio...

متن کامل

A New Energy Harvesting Design Concept: Multimodal Energy Harvesting Skin

This paper proposes an advanced design concept for a piezoelectric energy harvesting (EH) device, multimodal EH skin structure, a thin and compact harvester which can generate power from multimodal vibration. Multimodal EH skin is an extended study of our previous works, EH skin, which is a new conceptual design for piezoelectric energy harvester by combining a vibrating skin structure and an a...

متن کامل

Accelerating Design Space Exploration∗

The size of search spaces in embedded system design is one of the most critical problems during design space exploration. Pareto-Front Arithmetics (PFA) has shown to be useful to overcome this problem by decomposing a hierarchical search space and just exploring each part of the system separately. Later, the exploration results are combined at higher levels of the hierarchy. In order to decreas...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Aerospace Engineering

سال: 2023

ISSN: ['0893-1321', '1943-5525']

DOI: https://doi.org/10.1061/jaeeez.aseng-4769