gemiusunyi 发表于 2015-10-22 10:34:31

神级主管
你进去的话就把他供着就好了

zhuchenyu0000 发表于 2015-10-22 11:40:26

钢铁之心 发表于 2015-10-21 15:25 static/image/common/back.gif
我入职一年半,是做非标机床。
1、根据实际要求领取任务书。翻看下公司里有没有类似的设备可以提供灵感和经 ...

谢谢分享!

陈云奇哥 发表于 2015-10-22 12:57:58

他们可能都有标准库的吧

huwangning 发表于 2015-10-22 13:11:30

面试居然问关于软件怎么用的问题,想想除了显摆小技巧之外,真实没有多少水平。

XY520 发表于 2015-10-22 14:44:16

毛血旺的尖叫 发表于 2015-10-21 16:24 static/image/common/back.gif
楼主说的是设计实施,肯定得从零件做起;而技术主管说的是产品设计思路,先定总体尺寸,给骨架,各个部件再 ...

赞同

wspb1989 发表于 2015-10-22 15:04:03

我是来看大家的讨论的{:2_31:}

董小峰 发表于 2015-10-22 15:58:46

自上而下的设计方法,两天出三维模型有肯能,连带出工程图工作量有点大。

常大爷 发表于 2015-10-22 16:42:12

麦兜大侠 发表于 2015-10-21 15:49 static/image/common/back.gif
目前常用的两种设计过程是:自底向上(bottom-up)和自顶向下(top-down)。自底向上的主要思路是先设计好 ...

大侠,小弟被上面从上而下、从下而上整糊涂了,小弟一般想做一个什么东西,都是先看看要实现什么功能,需要用到那些结构和零部件(如电机、齿轮什么的),场地空间是怎样的,然后选择适合场地的结构和零部件布置方式,然后手草绘一个大概的方案图,然后用估算的尺寸用SW画出零部件(有些可能是几个零部件一体,姑且叫模块吧),然后装配到一起,再然后消除干涉、调整尺寸直到符合原始要求,确信基本达到功能、场地/环境、外观等要求后,再细化零件,出图纸,比较乱,这叫上面的哪一种啊?上-下还是下-上啊?

DiodioX 发表于 2015-10-22 16:50:12

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
如图所示,装配体设计一般有两种形式:
简单的装配体,可以采用自底向上的方式,先出零件后装配。
比较复杂的装配体,一般采用先自顶向下的方式。

原因在于,复杂的装配体设计有很多外在约束,这些约束限制了装配体总装的很多细节。在这些约束下,零部件需要根据总装不断的调整,以及采用很多相互参考的坐标或者位置。

木星类 发表于 2015-10-22 16:52:27

你怎么用不还得看情况而定,软件不过是辅助你的一种工具,人是活的,软件是死的
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查看完整版本: 今天去面试,技术主管问我关于sw的使用