晓昀 发表于 2020-2-18 21:49:45

1、先计算在保证外载荷作用下,两零件不发生相对滑动的最小径向压强;
2、计算所需的最小过盈量;
3、根据最小过盈量计算最大径向压强(压入法);
4、计算压入法的拆装力。

你给的条件不够,还缺少这两个零件过盈配合时传递的载荷是多少?

gaxisjtu 发表于 2020-2-18 22:10:21

晓昀 发表于 2020-2-18 21:49
1、先计算在保证外载荷作用下,两零件不发生相对滑动的最小径向压强;
2、计算所需的最小过盈量;
3、根 ...

谢谢您的回复,这个例子,不考虑用过盈量传递扭矩,后续通过焊接来保证扭矩传递。所以只需要知道装配力有多大便于装配。

晓昀 发表于 2020-2-18 22:15:45

gaxisjtu 发表于 2020-2-18 22:10
谢谢您的回复,这个例子,不考虑用过盈量传递扭矩,后续通过焊接来保证扭矩传递。所以只需要知道装配力有 ...

计算装配力(压入力),需要知道这个过盈配合的最大径向压强。

最大压入力F=π*f*d*l*p(max)。f是配合面摩擦系数。

水流众生—江 发表于 2020-2-19 11:43:13

学习了,收藏了,但是都要威望啊

念天悠 发表于 2020-2-19 16:20:56

过盈配合安装以后再焊接?那过盈意义再哪里

gaxisjtu 发表于 2020-2-19 18:21:24

晓昀 发表于 2020-2-18 22:15
计算装配力(压入力),需要知道这个过盈配合的最大径向压强。

最大压入力F=π*f*d*l*p(max)。f是配 ...

明白,已经计算出来了。谢谢!

gaxisjtu 发表于 2020-2-19 18:22:55

念天悠 发表于 2020-2-19 16:20
过盈配合安装以后再焊接?那过盈意义再哪里

正常是过渡配合 (理论间隙很小,考虑公差后,有过盈),所以想看看在最大过盈情况下,需要多大力来装配。

念天悠 发表于 2020-2-19 21:09:19

gaxisjtu 发表于 2020-2-19 18:22
正常是过渡配合 (理论间隙很小,考虑公差后,有过盈),所以想看看在最大过盈情况下,需要多大力来装配 ...

已经计算出来了?请问压强是如何得知的

gaxisjtu 发表于 2020-2-20 13:08:00

念天悠 发表于 2020-2-19 21:09
已经计算出来了?请问压强是如何得知的

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

远祥 发表于 2020-2-20 13:21:57

可参考如下计算公式http://appi.cmiw.cn/upload/2020-02-20/20200220132155_1093086195.jpghttp://appi.cmiw.cn/upload/2020-02-20/20200220132156_2048653965.jpg
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查看完整版本: 请问紧配合的装配力如何计算