The influence of tyre characteristics on measures of rolling performance during cross-country mountain biking

This investigation sets out to assess the effect of five different models of mountain bike tyre on rolling performance over hard-pack mud. Independent characteristics included total weight, volume, tread surface area and tread depth. One male cyclist performed multiple (30) trials of a deceleration field test to assess reliability. Further tests performed on a separate occasion included multiple (15) trials of the deceleration test and six fixed power output hill climb tests for each tyre. The deceleration test proved to be reliable as a means of assessing rolling performance via differences in initial and final speed (coefficient of variation (CV) = 4.52%). Overall differences between tyre performance for both deceleration test (P = 0.014) and hill climb (P = 0.032) were found, enabling significant (P < 0.0001 and P = 0.049) models to be generated, allowing tyre performance prediction based on tyre characteristics. The ideal tyre for rolling and climbing performance on hard-pack surfaces would be to decrease tyre weight by way of reductions in tread surface area and tread depth while keeping volume high.     

滚动轴承远程故障诊断实验系统设计

针对滚动轴承实验需求,提出一种基于LabVIEW开发的远程滚动轴承故障诊断实验系统。该实验系统通过校园网进行远程实验操作,通过实验客户端,可以完成振动实验台的控制和监视,滚动轴承振动信号的采集和分析。信号采集可以同时采集X轴、Y轴和Z轴三个方向的振动信号。滚动轴承振动信号的分析方法包括共振解调法、短时Fourier变换、Hilbert-Huang变换、小波变换和自适应最优核(AOK)时频分析等方法。应用表明,该实验系统使用简单方便,可以节约实验成本,最大限度利用实验室资源,能够满足滚动轴承故障诊断实验的要求,也为滚动轴承故障诊断方法的研究提供了实验设备支持。     

UCM冷轧机弯辊力智能预设定计算模型研究

工作辊和中间辊弯辊力匹配一直是六辊UCM (Universal Crown Mill)冷轧机弯辊力预设定计算的难题。文章通过建立冷轧过程板形计算模型并将其嵌入遗传算法,对六辊UCM冷轧机的工作辊和中间辊弯辊力进行智能预设定计算,进而确定板形最优时的弯辊力设定值;同时分析弯辊力变化与板形演化的关系,为六辊UCM冷轧机板形控制系统的优化提供理论指导与技术支持。