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NSF Young Investigator: Ultra-High Precision Engineering Systems; Control, Metrology, Data Reduction and Quality Assurance

NSF Young Investigator: Ultra-High Precision Engineering Systems; Control, Metrology, Data Reduction and Quality Assurance
NSF 青年研究员:超高精度工程系统;
批准号:
9257514
负责人:
Thomas Kurfess
金额:
$7.25万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-09-01 至 1996-02-29

项目摘要

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中文摘要
翻译
这项研究需要开发、建设和测试一个先进的高速计量系统。该项目要解决的主要领域是:探头/表面接触动力学,结构振动,探头轨迹控制,大规模数据减少,以及用于生产系统反馈的产品质量确定。接触动力学将通过重新设计探针的机械配置和使用数字和模拟滤波器来改善。探测器轨迹控制将通过高速数据采集和处理系统与先进的控制理论相结合来实现。扫描过程中产生的结构振动将通过使用优化规划的轨迹来最小化激励,并通过采用典型的柔性结构控制策略(如前馈)来解决。将使用先进的统计技术来减少扫描过程中产生的大量数据。测量结果将用于确定零件的几何偏差以及零件和/或正在生产的零件批次的质量水平。这将使用户能够确定必要的修改机床轨迹,以产生所需的几何形状。结果还将用于分析和改进生产系统的能力。
英文摘要
This research entails the development, construction and testing of an advanced high speed metrology system. The major areas to be addressed by this project are: probe/surface contact dynamics, structural vibration, probe trajectory control, large scale data reduction, and determination of product quality for use in feedback to production systems. Contact dynamics will be improved by redesigning the probe's mechanical configuration, and the use of both digital and analog filters. Probe trajectory control will be achieved via high speed data acquisition and processing systems in conjunction with advanced control theory. Structural vibrations generated during a scan will be addressed by using optimally planned trajectories that minimize excitation and by employing typical control strategies for flexible structures such as feed-forward. Advanced statistical techniques will be used to reduced the large amounts of data generated by the scanning process. The results of the measurements will be used to determine both geometric deviation of the part and the quality level of the part and/or batch of parts being produced. This will enable users to determine the necessary modifications to machine tool trajectories to generate desired geometries. The results will also be used to analyze and improve production system capabilities.
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Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs
  • 批准号:
    2335909
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.2万
  • 财政年份:
    2023
  • 负责人:
    Thomas Kurfess
  • 依托单位:
CPS: Synergy: CNC Process Plan Simulation, Automation and Optimization
  • 批准号:
    1646013
  • 项目类别:
    Standard Grant
  • 资助金额:
    $70.13万
  • 财政年份:
    2016
  • 负责人:
    Thomas Kurfess
  • 依托单位:
PFI:BIC Next Generation Real-Time Distributed Manufacturing Service Systems Using Digital Process Planning and GPU-Accelerated Parallel Computing
  • 批准号:
    1631803
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2016
  • 负责人:
    Thomas Kurfess
  • 依托单位:
EAGER/Collaborative Research/Cybermanufacturing: Just Make It: Integrating Cybermanufacturing into Design Studios to Enable Innovation
  • 批准号:
    1547093
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2015
  • 负责人:
    Thomas Kurfess
  • 依托单位:
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