Partially activated reconfigurable arrays to guide acoustic waves

Author(s):  
Ningxiner Zhao ◽  
Chengzhe Zou ◽  
Ryan L Harne

Recent studies have exemplified the potential for curved origami-inspired acoustic arrays to focus waves. Yet, reconfigurable structures that adopt curvatures are often difficult to translate to practice due to mechanical deformation of the facets that inhibit straightforward folding. In addition, not all tessellations that curve upon folding are also flat-foldable, which is a key advantage of portability inherent to many origami-inspired structures. This research introduces a new concept of partially activated reconfigurable acoustic arrays as a means to mitigate these drawbacks. Here, tessellations are studied where a subset of the facet surfaces are considered to radiate acoustic waves. The analytical results reveal focusing behaviors in such arrays that are otherwise not manifest for the array when fully activated. The focused waves are more intense in amplitude and space for partially activated arrays than fully activated counterparts. These trends are verified by experiment and are also found to be applicable to multiple reconfigurable array geometries. The results encourage broader study of the design space accessible in reconfigurable arrays to capitalize on all of the functionality afforded by origami-inspired wave guiding structures.

Author(s):  
Francisco Carlos Junior ◽  
Ivan Silva ◽  
Ricardo Jacobi

Reconfigurable architectures have been widely used as single core processor accelerators. In the multi-core era, however, it is necessary to review the way that reconfigurable arrays are integrated into multi-core processor. Generally, a set of reconfigurable functional units are employed in a similar way as they are used in single core processors. Unfortunately, a considerable increase in the area ensues from this practice. Besides, in applications with unbalanced workload in their threads this approach can lead to a inefficient use of the reconfigurable architecture in cores with a low or even idle workload. To cope with this issue, this work proposes and evaluates a partially shared thin reconfigurable array, which allows to share reconfigurable resources among the processor's cores. Sharing is performed dynamically by the configuration scheduler hardware. The results shows that the sharing mechanism provided 76% of energy savings, improving the performance 41% in average when compared with a version without the proposed reconfigurable array. A comparison with a version of the reconfigurable array without the sharing mechanism was performed and shows that the sharing mechanism improved up to 11.16% in the system performance.


2020 ◽  
Vol 143 (6) ◽  
Author(s):  
Ningxiner Zhao ◽  
Ryan L. Harne

Abstract Curved surfaces are often used to radiate and focus acoustic waves. Yet, when tessellated into reconfigurable surfaces for sake of deployability needs, origami-inspired acoustic arrays may be challenging to hold into curved shape and may not retain flat foldability. On the other hand, deployable mechanisms such as the Hoberman ring are as low-dimensional as many origami tessellations and may maintain curved shape with ease due to ideal rigid bar compositions. This research explores an interface between a Hoberman ring and Miura-ori tessellation that maintain kinematic and geometric compatibility for sake of maintaining curved shapes for sound focusing. The Miura-ori facets are considered to vibrate like baffled pistons and generate acoustic waves that radiate from the ring structure. An analytical model is built to reveal the near field acoustic behavior of acoustic arrays resulting from a Hoberman–Miura system synthesis. Acoustic wave focusing capability is scrutinized and validated through proof-of-principle experiments. Studies reveal wave focusing phenomena distinct to this manifestation of the acoustic array and uncover design and operational influences on wave focusing effectiveness. The results encourage exploration of new interfaces between reconfigurable mechanisms and origami devices where low-dimensional shape change is desired.


2015 ◽  
Vol 24 (03) ◽  
pp. 1550043 ◽  
Author(s):  
Chen Yang ◽  
Leibo Liu ◽  
Yansheng Wang ◽  
Shouyi Yin ◽  
Peng Cao ◽  
...  

The major bottleneck of coarse-grained reconfigurable arrays (CGRAs) is the excessive configuration overhead; as a result, computing potential cannot be fully utilized. At run-time, the function of CGRAs can be fully and dynamically reconfigured by changing contexts. Therefore, the frequency of context switching on CGRAs is very high. On the other hand, the configuration time of CGRAs is very long. This paper proposes three configuration approaches to reduce interval latency when switching configuration contexts. These proposed approaches include input data relocation (IDR), line-based context switching (LCS), and loop interval minimization (LIM). IDR relocates input data to the first stage of the pipeline; as a result, the delay time for the input data of the next data flow graph (DFG) is reduced. LCS is a LCS mechanism for adjacent independent DFGs to reduce the interval of context switching, thereby expanding the depth of the pipeline. LIM is used to minimize the interval of loops. Simulations on a coarse-grained reconfigurable processor called reconfigurable multimedia system (REMUS) show that 1080 p@30 fps for H.264 high profile video decoding can be achieved under 200 MHz working frequency. As for AVS and MPEG2 decoding algorithms, much higher performance, i.e., 1080 p@39 fps and 1080 p@41 fps, can be achieved respectively.


Author(s):  
Brent R. Bielefeldt ◽  
Darren J. Hartl ◽  
Ergun Akleman

Traditional topology optimization techniques, such as density-based and level set methods, have proven successful in identifying potential design configurations but suffer from rapidly increasing design space dimensionality and convergence to local minima. A heuristic alternative to these approaches couples a genetic algorithm with a Lindenmayer System (L-System), which encodes design variables and governs the development of the structure when coupled with some sort of interpreter. This work discusses the development of a graph-based interpretation scheme referred to as Spatial Interpretation for the Development of Reconfigurable Structures (SPIDRS). This framework allows for the effective exploration of the design space using a limited number of design variables. The theory and implementation of this method are detailed, and a compliant mechanism case study is presented to demonstrate the ability of SPIDRS to generate structures capable of achieving multiple design goals.


2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Brent R. Bielefeldt ◽  
Ergun Akleman ◽  
Gregory W. Reich ◽  
Philip S. Beran ◽  
Darren J. Hartl

Traditional topology optimization techniques, such as density-based and level set methods, have proven successful in identifying potential design configurations for structures and mechanisms but suffer from rapidly increasing design space dimensionality and the possibility of converging to local minima. A heuristic alternative to these approaches couples a genetic algorithm with a Lindenmayer system (L-system), which encodes design variables and governs the development of the structure when coupled with an interpreter to translate genomic information into structural topologies. This work discusses the development of a graph-based interpretation scheme referred to as spatial interpretation for the development of reconfigurable structures (SPIDRS). This framework allows for the effective exploration of mechanism design spaces using a limited number of design variables. The theory and implementation of this method are detailed, and multiple case studies are presented to demonstrate the ability of SPIDRS to generate adaptive structures capable of achieving multiple design goals.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kai Xiao ◽  
Xiang Zhou ◽  
Jaehyung Ju

AbstractArchitected modular origami structures show potential for future robotic matter owing to their reconfigurability with multiple mobilities. Similar to modular robots, the units of modular origami structures do not need to be assembled in a fully packed fashion; in fact, disconnection can provide more freedom for the design of mobility and functionality. Despite the potential of expanded design freedom, the effect of the disconnection of units on the mobility and physical properties has not yet been explored in modular origami structures. Determining the mobility and weak spots of modular origami structures is significant to enable transformation with minimum energy. Herein, we investigate the effect of the disconnection of units on the mobility and stiffness of architected modular origami structures with deformable units using angular kinematics of geometry and topology of units and closed loops. Angular kinematics provides a valuable tool for investigating the complex mobility of architected modular origami structures with the disconnection of loops. The mobility of the network structure is a function not only of the number of disconnections but also of the topology of the loop. In contrast to the conventional negative perception of defects or disconnection in these materials, the disconnection can potentially be used to expand the design space of mobility for future robotic matter. Our findings can be used to develop powerful design guidelines for topologically reconfigurable structures for soft modular robots, active architected materials, implanted modular devices, deployable structures, thermal metamaterials, and active acoustic metamaterials.


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