Topic Editors

Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, NM 88003, USA
Prof. Dr. Riadh Elleuch
Laboratory of Electro-Mechanical System (LASEM), National School of Engineers of Sfax (ENIS), University of Sfax, Sfax, Tunisia
Dr. Daniil Yurchenko
Institute Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UK

Advances in Design, Manufacturing, and Dynamics of Complex Systems

Abstract submission deadline
31 July 2024
Manuscript submission deadline
31 December 2024
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576

Topic Information

Dear Colleagues,

The analysis and understanding of nonlinear systems are paramount for several reasons. Many systems in nature and engineering exhibit nonlinear behavior due to their inherent complexity, making it crucial to understand these systems accurately for predictive purposes. Linear models often fail to capture the complex response of real-world systems, necessitating the use of nonlinear models for more accurate representations. Moreover, nonlinear systems often exhibit emergent properties, where collective behavior leads to novel phenomena not observed in linear systems. Understanding these emergent properties is vital for various applications, including assessing system resilience and stability, designing effective passive and active control strategies, and tuning to the system’s best vibration mitigation or energy harvesting performance. Additionally, nonlinear analysis allows for the exploration of rich and complex dynamics and interactions, such as chaos, bifurcations, and self-organization, providing insights into underlying mechanisms across diverse fields. Therefore, advancements in nonlinear analysis have far-reaching implications for tackling real-world challenges and advancing scientific knowledge.

This Topic serves as a paramount platform for eminent experts, scholars, academics, young scientists, and industry professionals engaged in the interdisciplinary domain of complex engineered systems. It endeavors to showcase the cutting-edge advancements in the field, thereby establishing the forefront of research. With a primary emphasis on comprehending the intricacies of complex nonlinear systems in different areas of engineering and technology, the Topic’s aim is to explore their industrial applications, either existing or prospective, culminating in a substantial impact through the exchange of knowledge and technology transfer. Such focused activities hold the potential to catalyze transformative shifts in both academic discourse and industrial practice, fostering innovation, collaboration, and the development of novel solutions to real-world challenges. By facilitating the dissemination of pioneering research findings and fostering interdisciplinary dialogue, this Topic seeks to not only advance the current state of the art but also inspire new avenues of inquiry and discovery.

Prof. Dr. Abdessattar Abdelkefi
Prof. Dr. Riadh Elleuch
Dr. Daniil Yurchenko
Topic Editors

Keywords

  • complex systems
  • nonlinear dynamics
  • design and manufacturing
  • unmanned systems
  • thermal science and fluid dynamics
  • materials and metamaterials
  • industrial applications
  • renewable energy

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.3 2011 16.9 Days CHF 2400 Submit
Drones
drones
4.4 5.6 2017 17.9 Days CHF 2600 Submit
Energies
energies
3.0 6.2 2008 16.1 Days CHF 2600 Submit
Journal of Manufacturing and Materials Processing
jmmp
3.3 5.1 2017 14.2 Days CHF 1800 Submit
Technologies
technologies
4.2 6.7 2013 19.7 Days CHF 1600 Submit

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Published Papers (1 paper)

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25 pages, 10580 KiB  
Article
Aerodynamic Hinge Moment Characteristics of Pitch-Regulated Mechanism for Mars Rotorcraft: Investigation and Experiments
by Qingkai Meng, Yu Hu, Wei Wei, Zhaopu Yao, Zhifang Ke, Haitao Zhang, Molei Zhao and Qingdong Yan
Drones 2024, 8(7), 277; https://doi.org/10.3390/drones8070277 - 21 Jun 2024
Viewed by 251
Abstract
The precise regulation of the hinge moment and pitch angle driven by the pitch-regulated mechanism is crucial for modulating thrust requirements and ensuring stable attitude control in Martian coaxial rotorcraft. Nonetheless, the aerodynamic hinge moment in rotorcraft presents time-dependent dynamic properties, posing significant [...] Read more.
The precise regulation of the hinge moment and pitch angle driven by the pitch-regulated mechanism is crucial for modulating thrust requirements and ensuring stable attitude control in Martian coaxial rotorcraft. Nonetheless, the aerodynamic hinge moment in rotorcraft presents time-dependent dynamic properties, posing significant challenges for accurate measurement and assessment for such characteristics. In this study, we delve into the detailed aerodynamic hinge moment characteristics associated with the pitch-regulated mechanism of Mars rotorcraft under a spectrum of control strategies. A robust computational fluid dynamics model was developed to simulate the rotor’s aerodynamic loads, accompanied by a quantitative hinge moment characterization that takes into account the effects of varying rotor speeds and pitch angles. Our investigation yielded a thorough understanding of the interplay between aerodynamic load behavior and rotor surface pressure distributions, leading to the creation of an empirical mapping model for hinge moments. To validate our findings, we engineered a specialized test apparatus capable of measuring the hinge moments of the pitch-regulated mechanism, facilitating empirical assessments under replicated atmospheric conditions of both Earth and Mars. The result indicates aerodynamic hinge moments depend nonlinearly on rotational speed, peaking at a 0° pitch angle and showing minimal sensitivity to pitch under 0°. Above 0°, hinge moments decrease, reaching a minimum at 15° before rising again. Simulation and experimental comparisons demonstrate that under Earth conditions, the aerodynamic performance and hinge moment errors are within 8.54% and 24.90%, respectively. For Mars conditions, errors remain below 11.62%, proving the CFD model’s reliability. This supports its application in the design and optimization of Mars rotorcraft systems, enhancing their flight control through the accurate prediction of aerodynamic hinge moments across various pitch angles and speeds. Full article
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