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1)  auto-tempering
自发回火
2)  self-tempering
自回火
1.
This paper comprehensively studies the properties of strength and toughness of U-shape steels 20MnK,Q275 on test pieces under various processes of intercritical hardening and self-tempering.
以20MnK、Q275两种牌号U型钢进行试验,全面探索了U型钢经亚温淬火及自回火后的强韧性。
3)  self tempering
自回火
1.
Simultaneous heating and quenching with high power medium frequency equipment for parts of long shaft,adopting special induction coil and adjustable induction coil and self tempering,will improve on medium frequency quenching quality of the parts and raise obviously productivity,thereby cause the enterprise to obtain fine product quality,high productivity and Low production cost.
对长轴类零件采用大功率中频机同时加热表面淬火的方法 ,配以专用感应圈和伸缩感应圈的应用和自回火的应用 ,结果表明 ,可提高零件中频表面淬火质量 ,并大大提高生产效率 ,从而使企业在生产中取得高产品质量 ,高生产效率和低生产成本的极佳效果。
2.
The investigation was conducted on the technique of intercritical hardening by medium frequency induction and self tempering for the high strength bolts.
对高强度接头螺栓进行了中频加热感应亚温淬火及自回火工艺研究。
4)  auto-tempering
自身回火
5)  spontaneous combustion
自然发火
1.
Fuzzy comprehensive evaluation on the spontaneous combustion in goaf and its application;
模糊综合评价对采空区自然发火的评价及应用
2.
Study on spontaneous combustion in Gob of fully mechanized mining with top coal caving face;
综放面采空区遗煤自然发火特性研究
3.
Temperature measurement system for coal spontaneous combustion experiment;
煤自然发火实验温度监测系统
6)  spontaneous ignition
自然发火
1.
The paper introduces the application of the thermometry for the research of spontaneous ignition in Jianxin Colliery,and makes a further study on the regularity of temperature change in the goaf behind the working face in the process of advancement,which has provided the scientific basis for the colliery against the spontaneous ignition.
通过介绍测温法在建新矿自然发火规律研究中的实践运用,进一步摸索采煤工作面推进过程中采空区后方的温度变化规律,为矿井采取有效的防自然发火措施提供科学依据。
2.
In addition,the time series prediction model based on BP neural network was also set up by using of forecasting indexes of goaf spontaneous ignition.
对采空区煤炭自然发火进行了危险性评价,从自然发火条件入手,建立采空区自然发火事故模型,确定采空区发火现状危险等级为C级,较危险;利用采空区已有的自然发火预测指标建立BP神经网络的时间序列预测模型,对未来该采空区有无发火危险进行了预测,确定未来采空区发火可能性大小。
补充资料:W18Cr4V高速钢淬火、回火组织


W18Cr4V高速钢淬火、回火组织


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