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A sensor-based adaptive control constraint system for automatic spindle speed regulation to obtain highly stable milling.

机译：基于传感器的自适应控制约束系统，用于自动调节主轴转速以获得高度稳定的铣削。

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摘要

An adaptive control constraint (ACC) system, developed and tested to obtain highly stable milling, regardless of varying cutting dynamics, is presented that eliminates chatter, when it arises, in most milling situations. It is a sensor-based system utilizing sound signals generated by the cutting process. The signals are detected by ordinary, condenser-type microphones. Modifications to, and extensions of, a previously developed algorithm, which regulates spindle speed to control chatter, are demonstrated that enhance the system's capability. Control is maintained by the generation of spindle-speed and table-feed override commands obtained from the analysis of sound signals. Speed adjustments achieve stability by either selecting a speed in a stable region between unstable lobes or lowering the speed to a point where process damping becomes effective. Table feed is adjusted accordingly to maintain a constant feed per tooth.; Isolation and filtering of the sound signal, coupled with better recognition of system instability, improve the ACC system's performance. Numerous low-speed cutting tests, using several types of tools on different materials, are presented to characterize process damping. Test results are shown that demonstrate the dependence of process damping on surface wavelength and workpiece material. System operation is illustrated for a variety of milling situations that involve both face- and end-milling operations on workpieces of different materials, with various tools and different machine configurations. Test results demonstrate the performance and limitations of the ACC system.; This system is particularly effective in eliminating chatter for high-speed, high-power milling. In addition, it easily interfaces with an existing, numerical-control (NC), milling machine. The adaptation of this system to current milling machines and to future, comprehensive-supervision, NC systems are suggested as logical extensions of this work.
机译：提出并开发了一种自适应控制约束（ACC）系统，无论切削动力学如何变化，都能获得高度稳定的铣削，该系统可以消除在大多数铣削情况下出现的颤振。这是一个基于传感器的系统，利用了切割过程中产生的声音信号。信号由普通的电容式麦克风检测。演示了对以前开发的算法的修改和扩展，该算法可调节主轴速度以控制抖动，从而增强了系统的功能。通过生成从声音信号分析获得的主轴转速和工作台进给倍率命令来保持控制。通过在不稳定凸角之间的稳定区域中选择速度或将速度降低到过程阻尼变得有效的程度，可以实现速度调节的稳定性。相应地调整工作台进给，以保持每颗牙齿恒定进给。声音信号的隔离和滤波，以及对系统不稳定性的更好识别，提高了ACC系统的性能。提出了使用在不同材料上使用几种工具的多种低速切削测试来表征过程阻尼。测试结果表明，工艺阻尼对表面波长和工件材料的依赖性。说明了在各种铣削情况下的系统操作，这些情况涉及使用不同的工具和不同的机床配置对不同材料的工件进行端面铣削和端面铣削操作。测试结果证明了ACC系统的性能和局限性。该系统对于消除高速，大功率铣削的颤动特别有效。此外，它可以轻松地与现有的数控铣床连接。建议将此系统适应当前的铣床以及未来的全面监督的NC系统，作为这项工作的逻辑扩展。

著录项

  • 作者

    Delio, Thomas Stone.;

  • 作者单位

    University of Florida.;

  • 授予单位 University of Florida.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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