简介:摘要目前国内汽车用精密齿轮的生产多采用闭式锻造工艺。常见的设备有瑞士HATUBER生产的AMP50-XL高速镦锻机。高速热镦锻属于闭式锻造,少无飞边,自动化生产,一火完成加工,因此具有材料利用率高、锻件精度高、加工效率高等优点。高速热镦锻是多工位加工工艺,即同一台热镦锻机上完成棒料的热剪切、镦粗、预成形、终成形和冲孔等工序,其工艺设计和模具设计较复杂。特别是各工艺参数的设置不仅直接影响到锻件的质量还会降低模具寿命。本文基于DEFORM-3D软件对齿轮坯高速热镦锻工艺进行有限元模拟,分析坯料产生环形折叠缺陷的原因。通过改进原始工艺参数,模拟和实验均得到了无缺陷锻件。
简介:摘要:为了能够及时发现齿轮表面缺陷以及缺陷类型,我们提出了一种自适应分类框架,该框架根据任务需求调整分类粒度,并基于混合神经网络(AHNN)。AHNN结合了一维卷积和注意机制,增强了特征和通道之间的关系,并抑制了不敏感信息的影响,引入了个体特征选择方法,生成适合不同个体的特征子集,减小个体差异。实验结果表明,齿面磨损的细粒度和粗粒度分类的准确率分别为91.27%和96.31%,缺齿的细粒度和粗粒度分类的准确率分别为92.67%和97.28%,正常齿的细粒度和粗粒度分类的准确率分别为92.33%和96.39%。AHNN能够适应不同的分类粒度,降低个体差异,提高框架的通用性。
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