Sandwich constructions with metallic honeycomb cores are used in numerous mechanical applications, especially in aerospace, where high explicit modulus or solidity to weight ratios are needed. Square honeycomb sandwic...
Sandwich constructions with metallic honeycomb cores are used in numerous mechanical applications, especially in aerospace, where high explicit modulus or solidity to weight ratios are needed. Square honeycomb sandwich panels are easier to make than hexagonal ones. There is also evidence that square honeycomb sandwich panels have a greater structural integrity-to-weight ratio. Scholarly research on square honeycomb sandwich boards has focused on predicting the structure's response to shear, twisting, in-plane and out- of-plane strain, and dynamic shots. This study compares experimental models of square metallic honeycomb collapse under a three-point twist. Disillusioned curiosity can be shown through face-clasping, face-yielding, center- clasping, and center-yielding. Scientists compare their hypotheses to traditional views that suggest a clash between the minute and fact sheets, the shear and the centre. These tools measure face sheet shear stress and rotating minute centre pressure. The section that deviates from the central region becomes more important as it thickens. Limited component research evaluates explanatory models. The major goals of post-processing limited component models are to understand neighbourhood yielding and locking inside the structure and to examine how adjacent disappointment affects honeycomb power migration. Parametric analysis using multiple honeycomb structures was used to test disappointment ideas. We aim to create separate explanatory frameworks that can anticipate discontentment across stacking levels, geometries, and relative densities. Diagnostic models are combined with key improvement ideas to help architects choose materials and geometry under implementation constraints.
This work has performed a numerical simulation of the temperature field during microwave heating of polyolefin-absorber mixture by means of a combined electric and thermal model.A finite difference time domain was use...
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This work has performed a numerical simulation of the temperature field during microwave heating of polyolefin-absorber mixture by means of a combined electric and thermal model.A finite difference time domain was used to model the electric field distribution within the cavity,while the finite difference method was used to calculate the temperature field distribution in different *** study has focused only on the process from room temperature to 500 K for reducing heating time and energy *** temperature range is a process with high energy consumption,difficult to control and great influence on the follow-up *** dependence of dielectric properties and thermal properties of heated materials are fully considered and simulated through an iterative *** simulation results show that input power,the size and location of the heated materials,the position of the waveguide,and the kinds of microwave absorbers are important factors affecting the heating *** a result,the uniform temperature distribution(the temperature difference Tdb10 K)can be achieved by choosing the appropriate input power(500–2000 W),the appropriate proportion of microwave absorber(the volume ratio of Si C to HDPE is 30:70),and combining with the moving and rotating of the heated *** uniform temperature field obtained without mechanical stirring is very important for reducing energy consumption and subsequent reactions.
In many engineering applications it is useful to reason about "negative information". For example, in planning problems, providing an optimal solution is the same as giving a feasible solution (the "pos...
Driving Blood Glucose Concentration (BGC) from hyperglycemia to euglycemia as quickly as possible while preventing hypoglycemia has been a big challenge for Type-1 Diabetes (T1D) for decades. This study has contribute...
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This paper considers the problem of long-term target tracking in complex scenes when tracking failures are unavoidable due to illumination change,target deformation,scale change,motion blur,and other *** specifically,...
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This paper considers the problem of long-term target tracking in complex scenes when tracking failures are unavoidable due to illumination change,target deformation,scale change,motion blur,and other *** specifically,a target tracking algorithm,called re-detection multi-feature fusion,is proposed based on the fusion of scale-adaptive kernel correlation filtering and *** target tracking algorithm trains three kernel correlation filters based on the histogram of oriented gradients,colour name,and local binary pattern features and then obtains the fusion weight of response graphs corresponding to different features based on average peak correlation energy criterion and uses weighted average to complete the position estimation of the tracked *** order to deal with the problem that the target is occluded and disappears in the tracking process,a random fern classifier is trained to perform re-detection when the target is *** comparing the OTB-50 target tracking dataset,the experimental results show that the proposed tracker can track the target well in the occlusion attribute video sequence in the OTB-100 test dataset and has a certain improvement in tracking accuracy and success rate compared with the traditional correlation filter tracker.
Energy management system (EMS) is important for the planning and operation of power system as the power generation must supply enough energy for load with the minimum operating cost. This paper presents nonlinear MPC ...
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An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for...
An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO’s electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems.
In today's high-tech world, robots are increasingly used in industry and human assistance, raising safety concerns. This paper proposes a Reachability-based Trajectory Design (RTD) method to ensure safe robot moti...
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This paper investigates the distributed fault-tolerant containment control(FTCC)problem of nonlinear multi-agent systems(MASs)under a directed network *** proposed control framework which is independent on the global ...
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This paper investigates the distributed fault-tolerant containment control(FTCC)problem of nonlinear multi-agent systems(MASs)under a directed network *** proposed control framework which is independent on the global information about the communication topology consists of two *** from most existing distributed fault-tolerant control(FTC)protocols where the fault in one agent may propagate over network,the developed control method can eliminate the phenomenon of fault *** on the hierarchical control strategy,the FTCC problem with a directed graph can be simplified to the distributed containment control of the upper layer and the fault-tolerant tracking control of the lower ***,simulation results are given to demonstrate the effectiveness of the proposed control protocol.
The shift from centralized to decentralized systems is increasing the complexity of many problems in control and optimization. However, it also presents the opportunity to exploit parallelized computational schemes. T...
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ISBN:
(数字)9783907144107
ISBN:
(纸本)9798331540920
The shift from centralized to decentralized systems is increasing the complexity of many problems in control and optimization. However, it also presents the opportunity to exploit parallelized computational schemes. This paper shows how the solution process of mixed-integer problems, which often arise in areas like production scheduling or logistics, can be supported by employing parallel computations. To this end, dual variables are introduced that enable the decomposition of these complex problems into subproblems that can then be solved in parallel. The presented dual decomposition-based approach provides a lower bound for the optimal solution of the original problem, which can support the overall solution process. The focus of this paper is on the parallelizability of the computation of this lower bound. The bounds from three different dual decomposition- based distributed optimization algorithms are compared to the lower bounds provided by several commercial solvers within their branch-&-cut framework.
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