Micro-Flying Robotics in Space Missions

Bardina, Jorge; Thirumalainambi, Rajkumar

doi:10.4271/2005-01-3405

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…Power MEMS [14] is a rapidly growing field describing microsystems which generate power or pumped heat. Another area generating lot of interest is the design of micro flying robots [15]. Despite significant interest in applications at small scales not much data exists, either experimental or numerical, at extremely low Re.…”

Section: Introductionmentioning

confidence: 99%

Optimal airfoil shapes for low Reynolds number flows

Srinath

Mittal

2008

Numerical Methods in Fluids

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SUMMARYFlow over NACA 0012 airfoil is studied at = 4 • and 12 • for Re 500. It is seen that the flow is very sensitive to Re. A continuous adjoint based method is formulated and implemented for the design of airfoils at low Reynolds numbers. The airfoil shape is parametrized with a non-uniform rational B-splines (NURBS). Optimization studies are carried out using different objective functions namely: (1) minimize drag, (2) maximize lift, (3) maximize lift to drag ratio, (4) minimize drag and maximize lift and (5) minimize drag at constant lift. The effect of Reynolds number and definition of the objective function on the optimization process is investigated. Very interesting shapes are discovered at low Re. It is found that, for the range of Re studied, none of the objective functions considered show a clear preference with respect to the maximum lift that can be achieved. The five objective functions result in fairly diverse geometries. With the addition of an inverse constraint on the volume of the airfoil the range of optimal shapes, produced by different objective functions, is smaller. The non-monotonic behavior of the objective functions with respect to the design variables is demonstrated. The effect of the number of design parameters on the optimal shapes is studied. As expected, richer design space leads to geometries with better aerodynamic properties. This study demonstrates the need to consider several objective functions to achieve an optimal design when an algorithm that seeks local optima is used.

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Section: Introductionmentioning

confidence: 99%

Optimal airfoil shapes for low Reynolds number flows

Srinath

Mittal

2008

Numerical Methods in Fluids

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“…Such a system is portable and integrates several processes that are performed in the laboratory to analyze and evaluate the samples and miniaturize them into a single device [16,17]. Furthermore, several successful research results have also been presented in the field of robotics based on miniaturized sensors and activators [18,19]. Recently, several studies on miniaturization in the power grids have been demonstrated [20,21].…”

Section: Introductionmentioning

confidence: 99%

Miniaturized Distributed Generation for a Micro Smart Grid Simulator

Kim

Lim

2022

Energies

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In this paper, a miniaturization method is proposed for developing micro distributed generation for a micro smart grid simulator. The micro smart grid simulator is a fault simulator that was built to test and verify the new operation control algorithms for smart grids in the laboratory and has a size downscaled to one-thousandth of that of an actual smart grid. The micro distributed generation was designed in a multi-layered structure (dimension: 13 × 20 cm2), in which each function is implemented in several layers, to satisfy the size requirements. Next, the grid synchronization and PQ control algorithms required for the distributed generation were developed. A three-phase 19 V power system was built, and a 19 V–7.5 W three-phase micro distributed generation was realized through experimental verification. In addition, by verifying the effectiveness through grid synchronization and 7.5 W PQ control experiments, it was confirmed that the micro distributed generation based on the proposed miniaturization method can be implemented in a micro smart grid simulator.

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“…[10] Miniaturized robots are often designed and built for tasks that are monotonous or even dangerous for people, including routine manufacturing [11] and space exploration. [12] However, despite all efforts, it has remained elusive to create any useful system-engineered robot on the submillimeter scale. The true challenge resides in the monolithic integration of multiple heterogeneous microcomponents into a flexible or even soft 3D robotic shell.…”

Section: Introduction To the Field: Coming From The Top And Going Downmentioning

confidence: 99%

System‐Engineered Miniaturized Robots: From Structure to Intelligence

Bandari

Schmidt

2021

Advanced Intelligent Systems

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The development of small machines, once envisioned by Feynman decades ago, has stimulated significant research in materials science, robotics, and computer science. Over the past years, the field of miniaturized robotics has rapidly expanded with many research groups contributing to the numerous challenges inherent to this field. Smart materials have played a particularly important role as they have imparted miniaturized robots with new functionalities and distinct capabilities. However, despite all efforts and many available soft materials and innovative technologies, a fully autonomous system‐engineered miniaturized robot (SEMR) of any practical relevance has not been developed yet. In this review, the foundation of SEMRs is discussed and six main areas (structure, motion, sensing, actuation, energy, and intelligence) which require particular efforts to push the frontiers of SEMRs further are identified. During the past decade, miniaturized robotic research has mainly relied on simplicity in design, and fabrication. A careful examination of current SEMRs that are physically, mechanically, and electrically engineered shows that they fall short in many ways concerning miniaturization, full‐scale integration, and self‐sufficiency. Some of these issues have been identified in this review. Some are inevitably yet to be explored, thus, allowing to set the stage for the next generation of intelligent, and autonomously operating SEMRs.

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Micro-Flying Robotics in Space Missions

Cited by 7 publications

References 2 publications

Optimal airfoil shapes for low Reynolds number flows

Optimal airfoil shapes for low Reynolds number flows

Miniaturized Distributed Generation for a Micro Smart Grid Simulator

System‐Engineered Miniaturized Robots: From Structure to Intelligence

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