可靠、完备的压气机平面叶栅试验数据是高负荷压气机设计体系建设和数值方法准确性验证的重要前提。面向高负荷压气机设计体系建设对大弯角标准叶栅试验数据的需求，针对国内自主知识产权叶栅试验数据缺乏、已公开数据难以满足高负荷设计需求以及缺乏流场品质检测导致数据难以正确使用的问题，经国家科技重大专项组研究讨论，借助于西北工业大学在平面叶栅风洞流场品质的影响机理和调控策略的研究成果，基于我国自主设计和构建的高负荷大弯角压气机叶栅NPU-28（叶型弯角43.5°、稠度1.72，扩散因子0.5），开展标准化叶栅试验研究，旨在建立现代高负荷压气机标准叶栅模型。试验获得了来流马赫数0.4、攻角-10.9°~5.1°范围内9个工况下的叶栅攻角特性、叶片表面等熵马赫数以及叶栅通道出口总压损失系数和出气角等丰富的试验数据，提供了流场品质参数（来流马赫数不确定度、轴向速度密度比以及出口周期性指数）、测量位置、试验工况和来流湍流度等完整的试验信息，目前已支撑我国压气机叶型设计体系的建设。数据将同步上传到由中国科学院构建的“科学数据银行”（ScienceDB）用于数据的共享，提供高质量、可靠的现代高负荷压气机叶栅数据。

Reliable and comprehensive compressor cascade test data are essential for establishing high-load compressor design systems and verifying the accuracy of numerical methods. To address the demand for standard cascade test data of high-load compressor blade roots, the absence of authoritative domestic test data, the inadequacy of publicly available data for high-load design needs, and the issue of data misuse due to the lack of flow field quality detection, the National Science and Technology Major Project Group conducted extensive research and discussions. Leveraging the research results from Northwestern Polytechnical University on the influence mechanisms and regulation strategies of planar cascade wind tunnel flow field quality, the independently designed modern high-load compressor standard model cascade NPU-28 (with a blade camber angle of 43.5°, solidity of 1.72, and diffusion factor of 0.5) was established. This study obtained extensive experimental data, including cascade attack angle characteristics, isentropic Mach number on the blade surface, total pressure loss coefficient at the cascade channel exit, and exit flow angle for nine operating conditions within the inflow Mach number range of 0.4 and attack angle range of -10.9° to 5.1°. The data also provide flow field quality parameters, such as inflow Mach number uncertainty, axial velocity density ratio, and exit periodic index, along with measurement positions, test conditions, and inflow turbulence intensity, offering complete test information. These data will be uploaded to the "Science Data Bank" (ScienceDB), constructed by the Chinese Academy of Sciences, to facilitate data sharing and provide high-quality, reliable data for modern high-load compressor cascades.