数控旋转式模板机高低速缝纫线迹长度相对误差分析数据
收藏浙江省数据知识产权登记平台2024-01-11 更新2024-05-08 收录
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高低速缝纫线迹长度相对误差是数控旋转式模板机机器性能评价的重要指标之一。通过高低速缝纫线迹长度相对误差的检测可以确保数控旋转式模板机正常工作和长期有效运行,提高机器的质量和性能,满足客户对机器性能的需求。1、数据检测:设置规定的“直线花样缝纫”条件,将缝纫速度调至最高转速为高速缝纫速度,缝纫1行,再将缝纫速度调至最高转速的40%为低速缝纫速度,缝纫1行。2、数据采集:用精度不低于0.02m的游标卡尺分别测量距缝纫起始位置30mm后的10个连续线迹长度,记录高速缝纫10个线迹长度Lh和低速缝纫10个线迹长度Ll。3、数据计算:采用公式计算高低速线迹长度相对误差率E:E=(Lh-Ll)/Lh×100%,结果取正。4、数据结论:测试的高低速线迹长度相对误差率E符合客户定制要求误差率不大于3%,则判定为合格,反之则为不合格。
The relative error of sewing stitch length between high-speed and low-speed sewing is one of the key indicators for evaluating the performance of CNC rotary template machines. Detecting such relative error can ensure the normal operation and long-term reliable performance of CNC rotary template machines, enhance their quality and performance, and meet customers' performance requirements for the machines.
1. Data Detection: Set the specified "linear pattern sewing" conditions, adjust the sewing speed to the maximum rotational speed for high-speed sewing, perform 1 row of sewing, then adjust the sewing speed to 40% of the maximum rotational speed for low-speed sewing, and perform another 1 row of sewing.
2. Data Collection: Use a vernier caliper with an accuracy of no less than 0.02 m to measure the lengths of 10 consecutive stitches that are 30 mm away from the sewing starting point, and record the lengths of 10 stitches from high-speed sewing (denoted as Lh) and 10 stitches from low-speed sewing (denoted as Ll).
3. Data Calculation: Calculate the relative error rate E of stitch length between high-speed and low-speed sewing using the formula: E=(Lh-Ll)/Lh×100%, and take the absolute value of the result.
4. Data Conclusion: If the measured relative error rate E of stitch length between high-speed and low-speed sewing meets the customer's customized requirement that the error rate is no greater than 3%, the machine is judged as qualified; otherwise, it is judged as unqualified.
提供机构:
浙江永欣隆装备制造有限公司
创建时间:
2023-11-17
搜集汇总
数据集介绍

特点
数据集包含数控旋转式模板机在高低速缝纫条件下的线迹长度相对误差数据,用于机器性能评价和质量控制。数据规模为208条,每季度更新,适用于制造业中的机器性能检测和优化。
以上内容由遇见数据集搜集并总结生成



