案例分析19年第6大题
测长仪的不确定度等于温度引入的不确定度 u2=u3=aL(t-20℃)/根号3 中膨胀系数a应该是11.5*10^-6 还是1*10^-6我怎么觉的应该是11.5*10^-6 还有1000mm钢棒的修正值需要引入△L 吗 ?修正值算出来多少 温度引入的不确定度按照数学模型c1=L(T-20)u1==+-(1*10-6)/根号3 增增增 发表于 2022-6-5 21:08
温度引入的不确定度按照数学模型c1=L(T-20)
u1==+-(1*10 ...
正解!!!!!!!!!!!!!!!! 增增增 发表于 2022-6-5 21:08
温度引入的不确定度按照数学模型c1=L(T-20)
u1==+-(1*10 ...
在有的答案是根据温度的差值算的 即20.5-20.0=0.5℃ 楼上已经回答了温度引入的不确定度,我补充一下修正值:按照表6.1及长度公式模型,Ls=1000+0.00575mm,标准值出来了,修正值就好算了。 网上有位老师写的答案 lving7 发表于 2022-6-6 08:32
楼上已经回答了温度引入的不确定度,我补充一下修正值:按照表6.1及长度公式模型,Ls=1000+0.00575mm,标准 ...
对1000mm钢棒用测长仪测量的10次重复测量的最佳估计值是1000.00202,这个值不就是标准器测的值么,怎么标准值变成1000.00575了 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
△t=1℃,u(△t)不是应该为1℃/√3吗?
data:image/png;base64,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
热膨胀系数也是,为什么u(a)=2×10-6/√6,不是1×10-6/√6吗?
Joecy 发表于 2022-6-6 13:45
△t=1℃,u(△t)不是应该为1℃/√3吗?
1、区间半宽度,温度1是区间,需要除以2;
2、发个截图你就明白了
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