作 者: (吴以治); (任大庆); (宋振明); (杨漾); (李继超);
机构地区: 天津工业大学,天津300387
出 处: 《大学物理实验》 2017年第4期112-117,共6页
摘 要: 在计算机普及和大物实验智能化的时代背景下,许多理工院校特别是普通工科院校中对实验数据的处理要求逐渐简化,甚至已不再有不确定的数据处理要求。部分学有遗力或感兴趣的学生希望有更深入的数据处理与分析,但缺乏比较有可操作性的实例参考,目前导热系数的数据处理相关文献尚无不确定度处理的报道。特别是不确定处理,成了学生难以触及触摸的禁区。针对这样的现状,我们提供了方程回归法、作图法和逐差法这三种有效的数据处理方法,并首次详细给出了不确定度处理过程。基于不确定处理结果,我们进行了有效的误差分析并针对性地提出了实验的操作建议,具有一定的参考价值。 With the computation going into most family and intellectualization of college physics experiment ,a lot of universities lower the standard of the data processing ,even excluding the data processing of uncertainty. Some students are interested in the data processing of uncertainty while they can't be qualified for it , which is caused by the complexity of the data processing of uncertainty. Herein , we present there different data processing method for experiment of heat conductivity coellicient .And then a detail processing of uncertainty was provided for the first time. Importantly,some uselul suggestions are given to decrease the error of experiment of heat conductivity coellicient according to our results of processing of uncertainty.