|国家科技期刊平台
首页|期刊导航|航空材料学报|航空发动机用高温合金复杂薄壁精密铸件尺寸精度控制技术研究进展

航空发动机用高温合金复杂薄壁精密铸件尺寸精度控制技术研究进展OA北大核心CSTPCD

Research progress on dimensional accuracy control technologies of complex thin-walled superalloy investment castings for aero-engines

中文摘要英文摘要

高温合金主要应用于涡轮后机匣、扩压器、预旋喷嘴等航空关键热端部件,采用整体精密铸造技术取代"分体铸造+焊接"成形方法,可减少零件数量和加工工序、提升可靠性、减轻质量,是航空发动机先进材料加工关键核心技术之一.然而复杂薄壁构件液态精密成型存在尺寸超差难题,导致发动机气动性能降低,装配精度下降,是长期制约我国航空发动机关键构件制造质量的瓶颈问题.本文综述目前国内外在高温合金精密铸造尺寸精度控制方面的研究进展,并对基于数字化和智能化技术的发展趋势进行了前瞻性分析和探讨,未来迫切需要构建液态精密成型数字孪生平台,发展更先进的尺寸变形精准定量智能预测方法以及压蜡模具内腔型面设计理论.

Superalloys are predominantly employed to crucial aviation hot-end components such as turbine rear casings,diffusers,and pre-swirl nozzles.The investment casting technology supersedes"casting + welding"forming approaches,which reduces the number of parts and processing procedures,offers improved reliability and mass reduction.Therefore,investment casting is a pivotal technology for aviation component manufacturing.However,the casting of complex thin-walled components encounters challenges with dimensional accuracy,impacting engine aerodynamic performance and assembly precision,which has become a bottleneck problem restricting the manufacturing quality of key structural components of aero-engines in China for a long time.This article reviews the current advancement in the dimensional accuracy control for superalloy investment castings at home and abroad.A forward-looking analysis and discussion on development trends are conducted,particularly focusing on digital and intelligent technologies.There is an urgent need to build a digital twin platform for investment casting in the future and to develop more advanced accurate,quantitative and intelligent prediction methods for dimensional deformation and die profile design theory.

崔加裕;汪东红;肖程波;疏达;孙宝德;官邦;丁正一

上海交通大学材料科学与工程学院上海市先进高温材料及其精密成形重点实验室,上海 200240中国航发北京航空材料研究院先进高温结构材料重点实验室,北京 100095

金属材料

航空发动机高温合金尺寸精度控制熔模精密铸造复杂薄壁

aero-enginesuperalloydimensional accuracy controlinvestment castingcomplex thin-walled

《航空材料学报》 2024 (002)

31-44 / 14

国家重点研发计划项目(2022YFB3706800);国家自然科学基金重大课题(52090042);国家自然科学基金创新研究群体项目(51821001)

10.11868/j.issn.1005-5053.2023.000231

评论