侯本涛888 发表于 2024-1-19 08:57:21

请教各位大侠 下面孔公差如何实现

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±0.009的公差铰孔能实现吗?粗糙度要求0.8

侯本涛888 发表于 2024-1-19 08:58:23

补充一下,控制将12.809

新创AW 发表于 2024-1-19 09:51:50

慢丝应该可以吧

dtltc123 发表于 2024-1-19 10:07:22

公差能实现,粗糙度理论上也能实现,但有点难,客观条件要求会比较高

呵呵hahei 发表于 2024-1-19 10:09:22

你可以试试铰刀

侯本涛888 发表于 2024-1-19 10:11:51

谢谢各位,我也考虑铰孔

斯文棒棒 发表于 2024-1-19 10:29:03

铰孔粗糙度没问题,公差觉得有点难度。

养猪东篱下 发表于 2024-1-19 10:32:43

天天埋怨机械行业收入低。我们的工程师问个问题都表达不清楚。
1,谈加工可行性,要说工件材料,是合金钢,还是铝合金,抑或是不锈钢,钛合金。。。?
2,孔的直径和深度是多少?
3,加工设备是钻床,车床,还是加工中心,国产机床还是进口的。。。

侯本涛888 发表于 2024-1-19 10:36:24

不好意思,没写清楚,孔径,12.809±0.009,材质,球铁700-2,孔深32.立加

changzheng 发表于 2024-1-19 10:44:44

不可能
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