This paper presents a general method for dynamic modeling of three-dimensional flexible manipulator with multiple degrees of freedom based on Lagrange’s second kind of dynamic equation. Firstly, the dynamic model of ...
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WE are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish.[1]–[3].In this new epoch,the collaboration of data and knowledge,humans and machines,actual and virtual worlds is undergoin...
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WE are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish.[1]–[3].In this new epoch,the collaboration of data and knowledge,humans and machines,actual and virtual worlds is undergoing an unprecedented diversification and community-driven transformation,unveiling an open future full of boundless ***,the value of dispersed data extends far beyond passive storage and application.
In this study,a machine vision method is proposed to characterize 3D roughness of the textured surface on cylinder liner processed by plateau *** least absolute value(L∞)regression robust algorithm and Levenberg-Marq...
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In this study,a machine vision method is proposed to characterize 3D roughness of the textured surface on cylinder liner processed by plateau *** least absolute value(L∞)regression robust algorithm and Levenberg-Marquardt(LM)algorithm are employed to reconstruct image reference *** this basis,a single-hidden layer feedforward neural network(SLFNN)based on the extreme learning machine(ELM)is employed to model the relationship between high frequency information and 3D *** characteristic parameters of Abbott-Firestone curve and 3D roughness measured by a confocal microscope are used to construct ELM-SLFNN prediction model for 3D *** results indicate that the proposed method can effectively characterize 3D roughness of the textured surface of cylinder liner.
The self-similarity,high geometric symmetry and spatial utilization properties of fractal structures provide new methods for the development of absorbing *** this paper,the microwave absorption properties of the gradi...
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The self-similarity,high geometric symmetry and spatial utilization properties of fractal structures provide new methods for the development of absorbing *** this paper,the microwave absorption properties of the gradient dendritic fractal metamaterial structure(GDFMs)based on carbon black and acrylonitrile-butadiene-styrene composites were *** optimal metamaterial structure has an effective absorption in the frequency range of 4.5-40 *** rotational-symmetry GDFMs leads to the polarization independence,and the GDFMs exhibits a wide-angle absorption performance for both TE and TM *** is expected that the proposed GDFMs has good application prospects in electromagnetic wave absorption.
In this paper, we propose a method to optimize the output power, efficiency, and cost of the dynamic wireless charging(DWC) system of electric vehicles by using the transmitting coil spacing as the decision variable. ...
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In this paper, we propose a method to optimize the output power, efficiency, and cost of the dynamic wireless charging(DWC) system of electric vehicles by using the transmitting coil spacing as the decision variable. In a set of transmitting equipment, we adopt a structure with two transmitting networks in parallel and derive loss models. The expressions of the output power and efficiency of the DWC system are obtained by data fitting. In addition, combined with the proposed cost function, we construct a multiobjective optimization problem on output power, efficiency, and cost. Due to the complexity of the objective function, it is difficult to solve the problem by the analytic method, and thus we propose a constrained adaptive particle swarm optimization(CAPSO) algorithm with high accuracy to solve the problem. Finally,the simulation results verify the feasibility of the proposed model. The advantages of the proposed CAPSO algorithm and the optimization results under different weight combinations are presented.
The surging interest in planetary exploration underscores the need for deployable aerodynamic decelerators with a low ballistic coefficient. This study introduces a novel approach to designing and constructing mechani...
The surging interest in planetary exploration underscores the need for deployable aerodynamic decelerators with a low ballistic coefficient. This study introduces a novel approach to designing and constructing mechanically deployable aerodynamic decelerators (MDADs) that utilize an umbrella-like mechanism and proposes a new mechanism of MDADs through this method. The proposed method utilizes plane-symmetric 7R (R: revolute joint) linkages, and the kinematics of these linkages are systematically analyzed using the product of exponentials method. The 7R linkage kinematics are equated to an equivalent joint, the foundation for constructing umbrella-like deployable mechanisms. Three distinct types of mechanisms are synthesized using this methodology. Subsequently, their kinematics are analyzed based on the equivalent joint, and the configurations are experimentally validated through 3D-printed models and kinematic simulations. Trajectory simulations and structural analyses are conducted to assess the performance of the deployable mechanisms and provide valuable insights into their capabilities. This research contributes to advancing deployable aerodynamic decelerator technology and offers a promising avenue for future planetary entry, descent, and landing applications.
Flexible attachment actuators are popular in a wide range of applications,owing to their flexibility and highly reliable ***,their reversible adhesion performance depends on the actual effective contact area and peel ...
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Flexible attachment actuators are popular in a wide range of applications,owing to their flexibility and highly reliable ***,their reversible adhesion performance depends on the actual effective contact area and peel angle during ***,a good actuator must ensure a uniform and reliable pre-pressure load on an adhesive surface,to increase the effective contact area of the attached surface,thereby maximizing *** study was inspired by fusion bionics for designing a hierarchical attachment structure with vacuum-adsorption and dry-adhesion *** designed structure used the normal force under the negative pressure of a suction cup as a stable source of a pre-pressure *** optimizing the rigid and flexible structural layers of the attachment structure,a load was applied uniformly to the adhesion area;thus,reliable attachment was achieved by *** structure achieved detachment by exploiting the large deformation of a pneumatic structure under a positive *** hierarchical attachment structure achieved up to 85%of the optimal performance of the adhesive *** to its self-preloading and reliable attachment characteristics,the designed structure can be used as an attachment unit in various complex scenarios,such as small,lightweight climbing platforms and the transport of objects in long,narrow pipelines.
Researching the cooperative operation and functional expansion of multiple minirobot assemblies has the potential to bring about significant advancements in the practical applications of *** this study,we present a no...
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Researching the cooperative operation and functional expansion of multiple minirobot assemblies has the potential to bring about significant advancements in the practical applications of *** this study,we present a novel assembly sys-tem comprised of arc-shaped NdFeB magnetic *** minirobots can be individually utilized as assembly units,allowing for function expansion and comprehensive capability *** fabricate four Semicircular Arc Magnetic Minirobots(SAMM)arranged in different configurations and analyze their force and motion ***,by using this unit as a base,various expansion structures such as latches,petals,and rings can be assembled through reason-able *** define the comprehensive reinforcement interval by comparatively analyzing changes in the unit's motion characteristics and operational *** motion manipulation is employed to verify the rationality of the basic unit structure and the feasibility of the assembly *** proposed self-assembly scheme for magnetic minirobots exhibits great potential and may be used as a paradigm for future research on expanding the functionality of minirobots.
Stress tolerance plays a vital role in ensuring the effectiveness of piezoresistive sensing films used in flexible pressure ***,existing methods for enhancing stress tolerance employ dome-shaped,wrinkle-shaped,and pyr...
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Stress tolerance plays a vital role in ensuring the effectiveness of piezoresistive sensing films used in flexible pressure ***,existing methods for enhancing stress tolerance employ dome-shaped,wrinkle-shaped,and pyramidal-shaped microstructures in intricate molding and demolding processes,which introduce significant fabrication challenges and limit the sensing *** address these shortcomings,this paper presents periodic microslits in a sensing film made of multiwalled carbon nanotubes and polydimethylsiloxane to realize ultrahigh stress tolerance with a theoretical maximum of 2.477 MPa and a sensitivity of 18.092 kPa−*** periodic microslits permit extensive deformation under high pressure(e.g.,400 kPa)to widen the detection ***,the periodic microslits also enhance the sensitivity based on simultaneously exhibiting multiple synapses within the sensing interface and between the periodic sensing *** proposed solution is verified by experiments using sensors based on the microslit strategy for wind direction detection,robot movement sensing,and human health *** these experiments,vehicle load detection is achieved for ultrahigh pressure sensing under an ultrahigh pressure of over 400 kPa and a ratio of the contact area to the total area of 32.74%.The results indicate that the proposed microslit strategy can achieve ultrahigh stress tolerance while simplifying the fabrication complexity of preparing microstructure sensing films.
Intrinsic image decomposition is an important and long-standing computer vision *** an input image,recovering the physical scene properties is *** physically motivated priors have been used to restrict the solution sp...
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Intrinsic image decomposition is an important and long-standing computer vision *** an input image,recovering the physical scene properties is *** physically motivated priors have been used to restrict the solution space of the optimization problem for intrinsic image *** work takes advantage of deep learning,and shows that it can solve this challenging computer vision problem with high *** focus lies in the feature encoding phase to extract discriminative features for different intrinsic layers from an input *** achieve this goal,we explore the distinctive characteristics of different intrinsic components in the high-dimensional feature embedding *** define feature distribution divergence to efficiently separate the feature vectors of different intrinsic *** feature distributions are also constrained to fit the real ones through a feature distribution *** addition,a data refinement approach is provided to remove data inconsistency from the Sintel dataset,making it more suitable for intrinsic image *** method is also extended to intrinsic video decomposition based on pixel-wise correspondences between adjacent *** results indicate that our proposed network structure can outperform the existing state-of-the-art.
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