摘要
薄壁构件淬火后容易产生变形,严重影响构件尺寸精度。因此,为了减小薄壁构件淬火不均匀变形,提高尺寸稳定性,综述了实现薄壁构件淬火变形精确预测的方法,探讨了淬火过程热力学本构模型的建立、材料热物性参数的确定以及淬火有限元的建模方法,分析了不同结构特点、材料特性、淬火方式和夹具约束方式对薄壁构件淬火变形行为的影响规律,总结了薄壁构件淬火变形调控方法,并阐述了当下面临的关键难题与挑战,最后预测了薄壁构件淬火变形的发展趋势,提出了多物理场作用下形性一体精确预测方法。本研究对认识和发展薄壁淬火变形调控技术具有重要的指导意义和参考价值。
Thin-walled components are easily distorted after quenching,which seriously affects the dimensional precision of components.Therefore,in order to reduce uneven distortion of thin-walled components and improve its dimensional stability during the quenching process,the methods achieving accurate prediction of quenching distortion were summarized,and the establishment of thermodynamics constitutive model for quenching process,the determination of thermophysical parameters of materials and the modeling method of finite element in the quenching process were discussed. Then,the influences of different structure characteristics,material properties,quenching methods and fixture constraints on quenching distortion behaviors of thin-walled components were analyzed,and the regulation methods of quenching distortion for thin-walled components were summarized. Furthermore,the key problems and challenges at present were also presented,and the development trend of quenching distortion for thin-walled components was predicted. Thus,an accurate prediction method of integration of shape and performance under multi-physical fields was proposed. The research has important guiding significance and reference value for understanding and developing the control technology of quenching distortion for thin-walled components.
作者
詹梅
王隽文
樊晓光
闫陆宇
李志欣
Zhan Mei;Wang Junwen;Fan Xiaoguang;Yan Luyu;Li Zhixin(State Key Laboratory of Solidification Processing,Northwestern Polytechnical University,Xi＇an 710072,China;School of Materials Science and Engineering,Northwestern Polytechnical University,Xi＇an 710072,China)
出处
《锻压技术》
CAS
CSCD
北大核心
2018年第7期62-70,共9页
Forging & Stamping Technology
基金
航天先进制造技术研究联合基金(U1537203)
国家杰出青年科学基金(51625505)
关键词
薄壁构件
淬火变形
精确预测
变形调控
本构模型
thin-walled components
quenching distortion
accurate prediction
distortion control
constitutive model
