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首页> 外文会议>The 2001 North American Manufacturing Research Conference (NAMRC), May 22-25, 2001, Gainesville, Florida >OPTIMIZATION OF THE PROCESS PARAMETERS IN DRILLING USING A POWER SENSOR FOR ON-LINE ESTIMATION OF TOOL WEAR
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OPTIMIZATION OF THE PROCESS PARAMETERS IN DRILLING USING A POWER SENSOR FOR ON-LINE ESTIMATION OF TOOL WEAR

机译：使用功率传感器对钻头磨损进行在线估算的钻削过程参数优化

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摘要

A methodology for the optimization of process parameters in drilling based on the on-line tuning of empirical models is developed. A relationship between tool wear and spindle power is employed to estimate wear rates and drive parameter selection decisions involving cycle time and tool life constraints. Tool wear coefficients are updated based on the power-wear model and used to facilitate multiple updates of process parameters within a single tool wear cycle. Upon tool replacement, wear measurements are used as additional feedback for both the tool-wear model and power-wear relationship. The feasibility of simultaneously tuning models while optimizing process parameters and the effect of the two levels of model feedback on algorithm convergence is explored through a series of drilling experiments with 304 stainless steel.
机译：开发了一种基于经验模型在线调整的钻井过程参数优化方法。工具磨损与主轴功率之间的关系用于估算磨损率和涉及循环时间和工具寿命约束的驱动参数选择决策。刀具磨损系数基于功率磨损模型进行更新，并用于促进在单个刀具磨损周期内多次更新工艺参数。更换工具后，磨损测量值将用作工具磨损模型和动力磨损关系的附加反馈。通过一系列使用304不锈钢的钻孔实验，探索了在优化过程参数的同时调整模型的可行性以及两个级别的模型反馈对算法收敛的影响。

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