1) setting of temperature
温度预定
2) target,temperature
预定温度
3) preheating temperature
预热温度
1.
Effect of gasifying agent preheating temperature on pressurized turbulent CFB coal gasification
气化剂预热温度对加压湍动循环流化床煤气化的影响
2.
The influence of preheating temperature on the quality of BGA solder ball
预热温度对BGA钎焊球质量影响
3.
The microstructure of the liquid forging pieces under various specific pressures and preheating temperature conditions for the die were comparatively analyzed.
叙述了选用ZA27合金采用液态模锻工艺生产耐磨衬板的研究,确定了模具材料的选择及其热处理工艺,对不同比压及不同模具预热温度条件下液锻件的微观组织进行了对比分析。
4) calcining temperature
预烧温度
1.
The effect of calcining temperature on the microstructure and magnetic properties of high permeability MnZn ferrites;
预烧温度对高导磁率MnZn铁氧体微结构和磁性能的影响
2.
The calcining temperature was in the range from 950 ℃ to 1100℃.
对CCTO陶瓷进行物相分析,并测试了20Hz-1MHz频率范围和25～150℃温度区间的介电性能和阻抗谱,详细研究了预烧温度对CCTO陶瓷烧结性能、晶体结构和介电性能的影响。
3.
The effects of calcining temperature on sintering,microstructure and electromagnetic properties of NiCuZn ferrites for multilayer chip inductor(MLCI) are investigated.
研究了预烧温度对多层片式电感器用NiCuZn铁氧体的烧结、显微结构和电磁性能的影响。
5) preheat temperature
预热温度
1.
In this paper, the necessary preheat temperature was calculated by using “WELD CALCULATION” software, and the calculated results were verified by Implant and Tekken test.
采用“WELDCALCULATION”专用软件对Q390E、Q4 2 0E两种钢材的最低预热温度进行了计算 ,并采用插销试验和小铁研试验对计算结果进行了验证 ,在此基础上确定了松花江斜拉大桥钢梁不同厚度Q390E、Q4 2 0E钢板的焊接预热温度 ,研究成果在桥梁的焊接生产中得到成功应
2.
This paper analysed the cause of the heat energy consumption high, some improving preheat temperature and decreasing digester heat resources's way have been put forward.
本文通过对高压溶出热能消耗高的原因分析,提出了提高预热温度是降低高压溶出热能消耗的有效途径,可达到增产节能的目的。
3.
The effect of W content and preheat temperature on phase components and powder size of combustion synthesized product in Ti W C system were studied.
研究了 W含量及预热温度对 Ti- W- C体系燃烧合成产物相组成及粉末形貌的影响。
6) Temperature Prediction
温度预测
1.
Temperature Prediction of Excavation Face in Long Tunnel with Thick Overburden;
深埋长大隧道施工掌子面温度预测
2.
On the background, according to actual industrial situation, the article proposes a temperature prediction model, based on artificial neural network.
本文正是在这样的背景下,针对工业现场实际情况,结合人工神经网络,提出了基于人工神经网络的温度预测模型,并将其应用到高压大容积气密性检测中去。
补充资料：铂电阻温度表(见电阻温度表)
铂电阻温度表(见电阻温度表)
表。bod旧nZu wendubiao铂电阻温度表见电阻温
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条