Elmi Abu Bakar. Wear detection on twist drill cutting lips using digital microscope. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2016.
Wear detection on twist drill cutting lips using digital microscope
Abstract:
Twist drill is normally used for hole making operation. It may vary in shape, size and composition depending
on the application, size of the hole and also material of the workpiece. Drilling on a material with great hardness such
as composite panels would be very challenging. The drill bit will experience greater fatigue and worn out faster. This
will cause undesirable damage on the workpiece. Therefore, a regular human vision inspection and drill bit sharpness
test are required to ensure the drill bit used is in a good condition and still able to produce a perfect hole without
damaging the workpiece. The study on detecting the twist drill wear will contribute in solving the problem
aforementioned. In this research, a method is proposed in detecting and measuring the presence of wear on the twist
drill. The proposed method is done by comparing the images of both new and worn twist drill from the top view
perspective in order to obtain a full image of the cutting lips. The top view images are acquired using digital
microscope and processed through MATLAB using two different approaches which are Sum of Absolute Different
(SAD) and Image Fusion. The percentage of wear for each method is calculate and compared. With photographic
evidence, this research found that during the process of drilling, the twist drill not only losing its material due to
friction but also experiencing a shape deformation which also contribute to the wear factor of the cutting lips.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2016
Modified:
2026-07-20
Issued:
2026-07-20
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BibliograpyCitation :
In Chulalongkorn University Faculty of Engineering. The 7th TSME International Conference on Mechanical Engineering 2016 (TSME-ICoME7) (AMM0002). Bangkok : Chulalongkorn University