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高性能零件成性质量实时分析与控制方法研究 被引量:1

Real Time Analysis and Control of Function Quality for High Performance Work Pieces
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摘要 高端装备高性能关键零件以性能要求为主,具有性能与几何参数一体化的加工要求。由于其形面复杂、材料难加工特征,零件材料变形抗力大,组织性能对热加工时间、温度、强度等参数极为敏感,因此,在实现高性能零件成形同时,其性能受材料、热处理、几何形状等多因素作用,零件组织性能难以保证,生产中废品率高。提出了建立高性能零件质量信息集成的全生命周期信息模型,从分散的质量信息处理转向面向制造过程的质量信息集成管理,研究质量数据与质量检验标准的映射、集成,通过质量检测数据的实时采集、管理、分析与评判,实现成形过程中成性质量管理与控制。 Because of the complexity of the shaped surface structure of the critical and high-performance work pieces of high-end equipment, their requirement is very high. The main requirement is about their performance and processing, requiring the integration of performance with geometric parameters. These high performance work pieces have the characters of complex moulding surface and are difficult to process their raw materials, their material de- formation having big resistance. The structure properties are very sensitive to parameters of thermal processing time, temperature, strength and so on. So when the work peieces are deformed, it is very difficult to ensure their struc- ture properties, which are affected by several factors like material, thermal processing, geometric shape and so on, causing the high defective rate in production and low efficiency in machining. This paper comes up with a solution to set up an integrated full life cycle quality information model for high performance work pieces, whose idea chan- ges from dispersive quality information processing to integrated manufacturing process oriented quality information management. The paper also studies the mapping and integration of quality data with quality inspection standards, thus realizing the management and control of function quality in the deformation orocesses.
出处 《机械科学与技术》 CSCD 北大核心 2013年第10期1428-1432,共5页 Mechanical Science and Technology for Aerospace Engineering
关键词 高性能零件 实时数据管理 统计过程控制 成性质量分析 控制图 data acquisition information manuagement inspection machining real time control real time sys-tems materials properties strength of materials temperature high performance work piece realtime data management statistical process control (SPC) structure properties quality analysis
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