【作者】 王志峰；

【导师】 王亚男； 张守斌；

【作者基本信息】 辽宁科技大学 ， 材料工程， 2007， 硕士

【摘要】 为全面了解鞍钢生产的重轨的化学成分和力学性能的情况,对2004年7月～2006年2月鞍钢生产的重轨的化学成分和力学性能进行了统计分析,最终明确了与化学成分相关的性能回归方程。根据实验找出影响重轨冲击韧性的各种因素,提出解决措施,提高重轨的冲击韧性合格率。结果表明:(1)鞍钢大型厂生产的重轨化学成分范围窄,P、S含量低。U75V作为高强度重轨,其抗拉强度比U71 Mn重轨高90MPa左右,延伸率低约1%。近年来,鞍钢重轨生产工艺的改造及生产水平的提高,已经使重轨的内在质量有了明显的提高,性能也更加稳定。(2)C、Si、Mn、P、S这5种常规元素的微小变化,对重轨性能仍有一定的影响,我们可以通过对化学成分的优化来进一步提高重轨的抗拉强度和延伸率等力学性能。(3)实验得出的回归方程描述了鞍钢的重轨生产工艺现状,是适合鞍钢现行工艺的有效回归方程。利用该回归方程可以由具体化学成分推出其相关性能,为简化检验提供了可能。(4)终轧及开轧温度是影响重轨冲击韧性的主要因素,降低终轧温度可提高冲击韧性。(5)重轨在加热炉中的加热时间和加热温度对重轨冲击韧性有较大影响,均热时间短、加热温度低有利于提高其冲击韧性。(6)缓冷工艺和装炉方式对重轨冲击韧性也有较大影响,采用缓冷工艺和冷装炉能提高重轨的综合机械性能。以上结论对重轨的生产具有一定的指导意义。更多还原

【Abstract】 In order to comprehensively under stand the conditions of chemical composition and mechanical properties of the steel rails produced in Angang, the ones produced from July, 2005 to Feb.,2006 are statisticed and analyzed. At last property regression equation related to chemical composition was expressed. Moreover through the experiment we can find out the every kind of factor affect the impact tenacity of heavy rails, and brought up the measure to solve the problem, and increased the qualified rate of the impact toughness of the heavy rails. Conclusions were gained as follows:(1) The chemical composition range of heavy rail that produced by Angang large mill was narrow, the content of P and S is little, U75V as the high strength heavy rail, its tensile strength is higher about 90MPa than U71Mn heavy rail, its elongation percentage is lower about 1%. In recent year, the improving of the process and the increasing of product level of Angang heavy rail made the inherent quality of heavy rail increased obviously and the performance steady.(2) The little change of element of C、Si、Mn、P、S will influence the property of the heavy rail, we can improve the tensile strength and elongation percentage of the heavy rail by the way of optimizing the chemical composition.(3) The regression equation we got described the process present state of Angang heavy rail is adapted to the effective regression equation used by Angang. Using this regression equation can presume the property by the specific chemical composition, it supply the possibility of simplying the check.(4) The finishing temperature and beginning temperature is the chief factor of influencing the heavy rail’s impact toughness. Reducing the finishing temperature can increasing the impact toughness.(5) The heating time and heating temperature in the heating furnace influenced the impact toughness of the heavy rail widely, reducing the soaking time and heating temperature can increase the impact toughness.(6) Slowing cool process and the way of charging also effect the impact toughness, using the Slowing cool process and cold charging can increase the whole mechanical property. All of the above conclusions are useful to guiding the product of heavy rail.更多还原