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首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Optimum shape synthesis of path generating mechanisms using wavelet descriptors
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Optimum shape synthesis of path generating mechanisms using wavelet descriptors

机译:小波描述子的路径生成机制最优形状综合

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摘要

The discrete wavelet transform is a well-known mathematical tool for shape recognition. In this study, a wavelet descriptor with two shape signatures, i.e., centroid distance and triangular centroid area, is developed for shape synthesis for path generation of planar mechanisms. This study is the first to apply the discrete wavelet transform for direct shape synthesis with the two-phase synthesis method for path generation problems. The problem of invariance in the similarity transform for the proposed wavelet descriptor is introduced. The proposed wavelet descriptor contains not only the approximation coefficients but also all the detail coefficients up to a prescribed decomposition level. A geometric-based approach which has been discussed in the literature is used for the scale-rotation-translation synthesis. The differential evolutionary algorithm with a combined mutation strategy is used to solve the optimization problems for shape synthesis. The proposed wavelet-based shape synthesis method is applied to solve five difficult path generation problems for the special paths generated by geared five-bar mechanisms discussed in the literature. The effects of the Haar, Daubechies-1, Daubechies-2 and Daubechies-3 wavelets as well as the number of levels from 1 to 3 on the synthesis results are investigated. Finally, the proposed wavelet-based shape synthesis method successfully solves the path generation problems. The generating coupler curves approximate the desired paths quite well except for one of the five paths. If only the approximation coefficients or only the detail coefficients are employed, the obtained optimum shape may appear similar but does not match the prescribed pattern, e.g. has an incorrect aspect ratio. The most suitable decomposition level depends on the nature of discrete shape signatures and the type of wavelet. The present synthesis results are compared to those obtained with other methods described in the literature.
机译:离散小波变换是众所周知的用于形状识别的数学工具。在这项研究中,开发了具有两个形状特征的小波描述符,即质心距离和三角形质心区域,用于形状合成以生成平面机构的路径。这项研究是第一个将离散小波变换用于直接形状合成的方法,并采用了两相合成方法来解决路径生成问题。提出了所提出的小波描述符的相似性变换的不变性问题。所提出的小波描述符不仅包含近似系数,而且还包含直至规定分解级别的所有细节系数。已经在文献中讨论过的基于几何的方法用于尺度-旋转-平移合成。结合组合变异策略的差分进化算法用于解决形状合成的优化问题。提出的基于小波的形状合成方法用于解决文献中讨论的齿轮五杆机构产生的特殊路径的五个困难路径生成问题。研究了Haar,Daubechies-1,Daubechies-2和Daubechies-3小波的影响以及1-3级数对合成结果的影响。最后,提出的基于小波的形状合成方法成功解决了路径生成问题。除了五个路径之一之外,生成的耦合器曲线都很好地逼近了所需路径。如果仅采用近似系数或仅采用细节系数,则所获得的最佳形状可能看起来相似但不匹配规定的图案,例如。宽高比不正确。最合适的分解级别取决于离散形状签名的性质和小波的类型。将目前的合成结果与文献中描述的其他方法获得的结果进行比较。

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