理论正确尺寸一定要和形位公差同时出现吗
理论正确尺寸一般都会和位置度同时出现在图纸上,除了位置度之外和可以有哪些别的形位公差吗?另外理论尺寸可以标在装配图中吗,是否也需要同时有形位公差才可以?
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
小兄弟可以去查阅学习机械设计手册里极限与配合一章;形状公差与位置公差,位置公差是建立在形状公差的基础之上,比如:你标注平行度,那肯定同时要标准平面度公差,因为只有面平整了,才能测量出平行度。
注册9年,0帖,1积分,这是神人啊,提出的问题也是神问题。
你不标位置度公差,在图纸空谈什么理论正确尺寸呢。 形位公差不是随便乱标的{:3_47:} 工人师_OgIOQ 发表于 2017-2-23 13:35
注册9年,0帖,1积分,这是神人啊,提出的问题也是神问题。
你不标位置度公差,在图纸空谈什么理论正确尺 ...
我是想问是不是可以标其他的形位公差,就可以不标位置度了。好像轮廓度公差可以的,还有其他的吗?多谢!
学习 ryf00_ 发表于 2017-2-24 10:15
我是想问是不是可以标其他的形位公差,就可以不标位置度了。好像轮廓度公差可以的,还有其他的吗?多谢! ...
其他如倾斜度也可以的,理论正确尺寸是设计者假想的一个理论尺寸,用来表示被测要素理想的形状、方向和位置,本身不带公差,其制造精度要求由与其配合使用的形位公差决定,单独使用理论正确尺寸没有任何意义。
yhytz999 发表于 2017-2-25 10:12
其他如倾斜度也可以的,理论正确尺寸是设计者假想的一个理论尺寸,用来表示被测要素理想的形状、方向和位 ...
tks
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