Paper
15 November 2011 In-process and post-process measurements of drill wear for control of the drilling process
Tien-I Liu, George Liu, Zhiyu Gao
Author Affiliations +
Proceedings Volume 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation; 83213T (2011) https://doi.org/10.1117/12.905465
Event: Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 2011, Yunnan, China
Abstract
Optical inspection was used in this research for the post-process measurements of drill wear. A precision toolmakers’ microscope was used. Indirect index, cutting force, is used for in-process drill wear measurements. Using in-process measurements to estimate the drill wear for control purpose can decrease the operation cost and enhance the product quality and safety. The challenge is to correlate the in-process cutting force measurements with the post-process optical inspection of drill wear. To find the most important feature, the energy principle was used in this research. It is necessary to select only the cutting force feature which shows the highest sensitivity to drill wear. The best feature selected is the peak of torque in the drilling process. Neuro-fuzzy systems were used for correlation purposes. The Adaptive-Network-Based Fuzzy Inference System (ANFIS) can construct fuzzy rules with membership functions to generate an input-output pair. A 1x6 ANFIS architecture with product of sigmoid membership functions can in-process measure the drill wear with an error as low as 0.15%. This is extremely important for control of the drilling process. Furthermore, the measurement of drill wear was performed under different drilling conditions. This shows that ANFIS has the capability of generalization.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien-I Liu, George Liu, and Zhiyu Gao "In-process and post-process measurements of drill wear for control of the drilling process", Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83213T (15 November 2011); https://doi.org/10.1117/12.905465
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KEYWORDS
Optical inspection

Fuzzy systems

Fuzzy logic

Microscopes

Spindles

Feature selection

Product safety

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