Robust Error Compensation Methods for Machine Tools

9815687ni1本项目是国家自然科学基金会研究中心-小型企业协同研发计划的一部分，由国家科学基金会建立的国际自然自然保护委员会制造业尺寸测量与控制中心领导。机床的精度是机床行业竞争力的决定性因素，对美国的制造业有着重大的影响。密歇根大学的NSF I/UCRC一直致力于开发实时误差补偿方法。一般来说，这些方法利用安装在机床结构上的温度传感器所测得的信息，以及机床热误差的数学模型，来预测各种来源引起的刀具位置误差；这些方法可以实时补偿误差。在本研究中，密歇根大学的NSF I/UCRC将与Saginaw Machine Systems， Inc.发起一项合作研发项目，进行以下研究：在将传感器安装到机器上之前，开发一种科学的方法来快速确定一组最佳传感器位置。当机器结构和工作条件已知时，将开发一种软件仿真方法来确定热传感器的最佳位置。发展热误差模式分析的创新概念。热误差模式分析将揭示每台机器的热误差特征，以优化传感器位置。在数控车削中心上验证上述方法和技术。所需的传感器数量预计将大大减少。同时，热误差的标定时间有望大大缩短。此外，可以实现全年的加工精度。该研究的成功将为今后机床误差补偿方法的研究和工业应用提供指导。这一成功不仅将为这一重要技术领域的科学基础做出重大贡献，而且将对误差补偿研究的广泛工业应用产生重大影响。因此，这将有助于美国机床行业的竞争，并进一步对任何使用机床的制造业产生积极影响

9815687NiThis project is carried out as a part of the NSF Research Centers - Small Firms Collaborative R&D initiative, under the leadership of The Center for Dimensional Measurement aned Control in Manufacturing, an IUCRC established by the National Science Foundation.The accuracy of machine tools is a determining factor on the competitiveness in the machine tool industry, and has a significant impact on the manufacturing of the United States. The NSF I/UCRC at the University of Michigan has focused on the development of real time error compensation methodologies. In general, these methods use information measured by temperature sensors mounted on the machine tool structure, and mathematical models of machine thermal errors, to predict the cutter location errors caused by various sources; the methods them compensate for the errors in real time. In this study, the NSF I/UCRC at the University of Michigan will initiate a collaborative R&D project with Saginaw Machine Systems, Inc. to perform the following research:1. Develop a scientific methodology to determine a set of optimal sensor locations quickly before mounting the sensors on the machine. A software simulation method will be developed to determine the optimal thermal sensor locations when the machine structure and working conditions are known.2. Develop an innovative concept of thermal error mode analysis. The thermal error mode analysis will reveal each machine's thermal error features for optimizing the sensor locations.3. Validate the above methodologies and techniques experimentally on a CNC turning center. The number of sensors required is expected to be reduced significantly. At the same time, the calibration time for thermal errors is expected to decrease dramatically. Furthermore, year-round machining accuracy can be achieved.The success of this study will shed light on future research and applications of machine tool error compensation methods in industry. The success would not only make a significant contribution of the science base of this important technical field, but would also make a great impact on the widespread industrial applications of error compensation research. Thus, it will help U.S. machine tool industry, and further generate positive impacts on any manufacturing industry that uses machine tools, to compete