Computational imaging for drill bit wear estimation

Author(s):  
Salvatore Dello Iacono ◽  
Giuseppe Di Leo ◽  
Consolatina Liguori
Author(s):  
David Rempel ◽  
Andrea Antonucci ◽  
Alan Barr ◽  
Bernard Martin

The use of large electric hammer and pneumatic drills exposes construction workers to high levels of hand vibration that may lead to hand arm vibration syndrome and other musculoskeletal disorders. This hammer drill test bench study demonstrated a small but significant increase in z-axis handle vibration (4.8 to 5.1 m/s2; ISO weighted) and drilling time per hole (7.8 to 12.3 s) with worn concrete bits when compared to a new bit. Drill bit manufactures may consider advising contractors that worn bits will increase the exposure of workers to hand vibration and will reduce worker productivity. Construction contractors should adopt a bit replacement program based on bit wear patterns in order to reduce exposure level and drilling time to hazardous hand vibration.


2010 ◽  
Author(s):  
Behrad Rashidi ◽  
Geir Hareland ◽  
Mazeda Tahmeen ◽  
M. Anisimov ◽  
S. Abdorazakov

2011 ◽  
Vol 189-193 ◽  
pp. 3213-3217
Author(s):  
Jian Wu ◽  
Rong Di Han

Drilling is a semi-enclosed cutting process. Drilling of difficult-to-machine materials generates thermal/frictional damage at the cutting edges of drill bit and decreases the life. In this paper, a new cooling and lubricating technique in drilling difficult-to-machine materials is developed to improve the life of drill bit. For this study, a water vapor generator and feeding system is developed. Comparative experiments are performed for various difficult-to-machine materials under the conditions of oil water emulsion, water vapor as coolant and lubricant and dry drilling, respectively. The effectiveness of water vapor on the basis of drill bit wear is studied. Experimental results show that with water vapor as coolant and lubricant the flank wear is reduced by 45-80% and 10-15% in comparison with dry drilling and oil water emulsion, respectively.


2012 ◽  
Vol 184-185 ◽  
pp. 1588-1591
Author(s):  
Hui Meng Zheng ◽  
Jian Qing Chen ◽  
Shou Xin Zhu

In automated micro-hole drilling system, in order to improve the drilling performance and reduce of production costs by maximizing the use of drill life and preventing drill failures, the drill bit wear state monitoring is more important. However, drill bit wear is difficult to measure in drilling process. By observation, wear failure of the drill bit could cause related changes of the spindle current signal, so construct fuzzy control mathematical models with the relationship between drill bit wear and spindle current, genetic algorithm and fuzzy control theory are applied to micro-drilling system in this paper .The membership functions of fuzzy control model are optimized by genetic algorithms. Through calculation, we can get drill bit wear value which used as monitoring threshold value in micro-hole drilling on-line monitoring system to avoid the drill breakage and improve the monitoring reliability.


Sign in / Sign up

Export Citation Format

Share Document