首页> 美国卫生研究院文献>Applied Bionics and Biomechanics >Drag Reduction and Performance Improvement of Hydraulic Torque Converters with Multiple Biological Characteristics
【2h】

Drag Reduction and Performance Improvement of Hydraulic Torque Converters with Multiple Biological Characteristics

机译:具有多种生物学特性的液力变矩器的减阻和性能改善

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Fish-like, dolphin-like, and bionic nonsmooth surfaces were employed in a hydraulic torque converter to achieve drag reduction and performance improvement, which were aimed at reducing profile loss, impacting loss and friction loss, respectively. YJSW335, a twin turbine torque converter, was bionically designed delicately. The biological characteristics consisted of fish-like blades in all four wheels, dolphin-like structure in the first turbine and the stator, and nonsmooth surfaces in the pump. The prediction performance of bionic YJSW335, obtained by computational fluid dynamics simulation, was improved compared with that of the original model, and then it could be proved that drag reduction had been achieved. The mechanism accounting for drag reduction of three factors was also investigated. After bionic design, the torque ratio and the highest efficiencies of YJSW335 were both advanced, which were very difficult to achieve through traditional design method. Moreover, the highest efficiency of the low speed area and high speed area is 85.65% and 86.32%, respectively. By economic matching analysis of the original and bionic powertrains, the latter can significantly reduce the fuel consumption and improve the operating economy of the loader.
机译:鱼形,海豚形和仿生非光滑表面被用于液压扭矩转换器,以实现减阻和性能改善,目的分别是减少轮廓损失,冲击损失和摩擦损失。 YJSW335是一款双涡轮变矩器,设计精巧。生物学特征包括所有四个叶轮中的鱼状叶片,第一涡轮机和定子中的海豚状结构以及泵中的不光滑表面。通过计算流体动力学模拟获得的仿生YJSW335的预测性能与原始模型相比有所提高,然后可以证明已实现减阻。还研究了减少三个因素的减阻机理。经过仿生设计,YJSW335的扭矩比和最高效率都得到了提高,这是传统设计方法很难实现的。此外,低速区域和高速区域的最高效率分别为85.65%和86.32%。通过对原始和仿生动力总成进行经济匹配分析,后者可以显着降低燃油消耗并提高装载机的运行经济性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号