Meshing temperature analyses of polymer gears reported in the literature mainly concern the effects of various material combinations and loading conditions, as their impacts could be seen in the first few meshing cycl...
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Meshing temperature analyses of polymer gears reported in the literature mainly concern the effects of various material combinations and loading conditions, as their impacts could be seen in the first few meshing cycles. However, the effects of tooth geometry parameters could manifest as the meshing cycles increase. This study investigated the effects of tooth geometry parameters on the multi-cycle meshing temperature of polyoxymethylene (POM) worm gears, aiming to control the meshing temperature elevation by tuning the tooth geometry. Firstly, a finite element (FE) model capable of separately calculating the heat generation and simulating the heat propagation was established. Moreover, an adaptive iteration algorithm was proposed within the FE framework to capture the influence of the heat generation variation from cycle to cycle. This algorithm proved to be feasible and highly efficient compared with experimental results from the literature and simulated results via the full-iterationalgorithm. Multi-cycle meshing temperature analyses were conducted on a series of POM worm gears with different tooth geometry parameters. The results reveal that, within the range of 14.5 degrees to 25 degrees, a pressure angle of 25 degrees is favorable for reducing the peak surface temperature and overall body temperature of POM worm gears, which influence flank wear and load-carrying capability, respectively. However, addendum modification should be weighed because it helps with load bearing but increases the risk of severe flank wear. This paper proposes an efficient iterationalgorithm for multi-cycle meshing temperature analysis of polymer gears and proves the feasibility of controlling the meshing temperature elevation during multiple cycles by tuning tooth geometry.
An adaptive iteration algorithm is presented in this paper for structural modal reanalysis of topological modifications. The rules of adaptation are given. The method is based on matrix perturbation and can be impleme...
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An adaptive iteration algorithm is presented in this paper for structural modal reanalysis of topological modifications. The rules of adaptation are given. The method is based on matrix perturbation and can be implemented easily on the computer. A little computation effort is involved, which is very important for topological modification with the increase of the joints and the number of degrees of freedom. In order to illustrate the method, three examples are given. The results show that the proposed method is effective for structural modal reanalysis of topological modifications. Copyright (C) 2002 John Wiley Sons, Ltd.
In this paper, we propose an adaptive iteration algorithm used for speckle reduction diffusion. In order to reduce the iteration times and improve the result image, we propose to use relative peak signal to noise rati...
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ISBN:
(纸本)9781728133263
In this paper, we propose an adaptive iteration algorithm used for speckle reduction diffusion. In order to reduce the iteration times and improve the result image, we propose to use relative peak signal to noise ratio as a criterion of step changing during iteration. To evaluate the performance of the proposed algorithm, we use synthetically introduced speckle images for speckle suppression. The simulation results show that our method not only preserve image details effectively while filtering, but also reduce the iteration times.
In this paper, we propose an adaptive iteration algorithm used for speckle reduction diffusion. In order to reduce the iteration times and improve the denoised image, we propose to use relative peak signal to noise ra...
详细信息
In this paper, we propose an adaptive iteration algorithm used for speckle reduction diffusion. In order to reduce the iteration times and improve the denoised image, we propose to use relative peak signal to noise ratio as a criterion of step changing during iteration. To evaluate the proposed algorithm, we use synthetically introduced speckle images for speckle suppression. The simulation results show that our method not only preserve image details effectively while filtering, but also reduce the iteration times.
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