中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
z1期
172-175
,共4页
党莹樱%赵新宝%尹宏飞%鲁金涛%袁勇%杨珍%严靖博%谷月峰
黨瑩櫻%趙新寶%尹宏飛%魯金濤%袁勇%楊珍%嚴靖博%穀月峰
당형앵%조신보%윤굉비%로금도%원용%양진%엄정박%곡월봉
Inconel 617%持久性能%LMP参数法%预测
Inconel 617%持久性能%LMP參數法%預測
Inconel 617%지구성능%LMP삼수법%예측
Inconel 617%creep-rupture strength%LMP parameter method%prediction
在已有文献的基础上,利用 Larson-Miller 参数法对700℃超超临界电站候选合金 Inconel 617的持久数据进行了研究。结果表明,Inconel 617合金持久强度的预测精度与LMP建模所用数据关系密切;与利用595~1095℃范围内的所有实验点建模相比,由900℃以下数据外推所得持久强度预测值与参考值/真实值更为一致。进一步对显微组织的研究表明产生上述现象的原因与合金在高温段(900℃及以上)的显微组织,特别是强化相的类型、数量等均发生了明显变化有关。因此,在评估此类合金的持久性能时,应慎用高温区数据,从而降低性能的误估倾向。
在已有文獻的基礎上,利用 Larson-Miller 參數法對700℃超超臨界電站候選閤金 Inconel 617的持久數據進行瞭研究。結果錶明,Inconel 617閤金持久彊度的預測精度與LMP建模所用數據關繫密切;與利用595~1095℃範圍內的所有實驗點建模相比,由900℃以下數據外推所得持久彊度預測值與參攷值/真實值更為一緻。進一步對顯微組織的研究錶明產生上述現象的原因與閤金在高溫段(900℃及以上)的顯微組織,特彆是彊化相的類型、數量等均髮生瞭明顯變化有關。因此,在評估此類閤金的持久性能時,應慎用高溫區數據,從而降低性能的誤估傾嚮。
재이유문헌적기출상,이용 Larson-Miller 삼수법대700℃초초림계전참후선합금 Inconel 617적지구수거진행료연구。결과표명,Inconel 617합금지구강도적예측정도여LMP건모소용수거관계밀절;여이용595~1095℃범위내적소유실험점건모상비,유900℃이하수거외추소득지구강도예측치여삼고치/진실치경위일치。진일보대현미조직적연구표명산생상술현상적원인여합금재고온단(900℃급이상)적현미조직,특별시강화상적류형、수량등균발생료명현변화유관。인차,재평고차류합금적지구성능시,응신용고온구수거,종이강저성능적오고경향。
According to the data collection and analysis from information published in literatures available, the creep-rupture property of Inconel 617 used in 700℃ ultra supercritical power plant was studied by Larson-Miller parameter method. The results show that the prediction accuracy of long-term rupture strength largely depends on tested data selection. The prediction obtained from data among 595-870℃ has a much better agreement with the reference value compared with the data from 595-1 095℃. Further investigation indicates that the differences of predicted values are closely associated with the microstructure distinction, especially with the evolution of strengthening phases (including gamma prime and M23C6) in the temperature range discussed. Therefore, when assessing creep-rupture property for such kind of alloy, creep data from high temperature region should be used carefully to reduce the trend of over/under estimation.