书生和和尚 发表于 2024-4-7 18:54:44

机加工件和激光切割件尺寸和孔轴尺寸怎么设定?



如果要求边缘偏差为±0.05;机加工件和激光切割件尺寸和孔轴尺寸怎么设定?

冷水黄金 发表于 2024-4-8 10:40:58

3mm板子,激光切小尺寸位置公差一般正负5丝,孔公差一般是5丝,如果要取正的话得与他们说。
你这直接按3mm孔正公差切。

但要注意激光切孔会有一个不小的接头凸出来,一般远远超过公差,如果想精密的话还得自己用钻头来一下

尹志春 发表于 2024-4-8 12:04:33

你标的精度太低了,你标0.001,做出来0.002,这样就完全达到你要求,你标0.02标太低了,机加工精度是可以达到0.00001的,激光更高0.00000001随便,

liuhuiming177 发表于 2024-4-8 13:36:03

你这个公差有可能装不上哦

liuhuiming177 发表于 2024-4-8 13:42:19

以边沿为基准其他尺寸不变,轴最大2.94mm

书生和和尚 发表于 2024-4-8 16:19:05

liuhuiming177 发表于 2024-4-8 13:36
你这个公差有可能装不上哦

0.03±0.03 装不进去嘛?一般孔轴间隙公差预留多少?

舟山黄小菜 发表于 2024-4-8 21:29:16

全都是是±公差?那加工中全部都为正公差,这要是拼出来,也是神奇了

liuhuiming177 发表于 2024-4-9 08:56:28

liuhuiming177 发表于 2024-4-8 13:42
以边沿为基准其他尺寸不变,轴最大2.94mm

这是在现有的公差上保证你能正常装配

liuhuiming177 发表于 2024-4-9 08:57:44

书生和和尚 发表于 2024-4-8 16:19
0.03±0.03 装不进去嘛?一般孔轴间隙公差预留多少?

你学一下互换性测量与技术吧。

书生和和尚 发表于 2024-4-9 09:23:18

liuhuiming177 发表于 2024-4-9 08:57
你学一下互换性测量与技术吧。

data:image/png;base64,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极值法,最大面差0.09mm;
页: [1] 2
查看完整版本: 机加工件和激光切割件尺寸和孔轴尺寸怎么设定?