Prediction of Small Drill Bit Breakage Using the Discrete Wavelet Transforms and Linear Discriminant Functions.

Kasashima, Nagayoshi; Mori, Kazuo; Fu, Jin-ming; Troy, Carol; Takeyasu, Yoshihiro

doi:10.2493/jjspe.65.598

Cited by 1 publication

(1 citation statement)

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“…In this method, both the thrust force and the micro-drill velocity are used for the identification of the prefailure phase with the wavelet based encoding and the neural networks because it is very difficult to observe the condition of the micro-drill to interpret the noisy sensory signals. Another improved method similar to the method mentioned above also needs the complex procedure to detect the tool breakage although it uses only the thrust force as a signal for the estimation (7) . They aimed to propose a universal method applied to various tool breakage types but almost tool breakage is expected to be caused by the excessive tool wear at the tool life under suitable drilling conditions in the practical machining shops.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Burr and Prefailure Phase Caused by Tool Wear in Micro-Drilling Operations Using Thrust Force Signals

Kondo

Kamo

Murakami

2012

JAMDSM

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The purpose of this study is to investigate the effectiveness of thrust force signals for estimation of the burr occurring at the outlet of a drilled hole and the prefailure phase caused by tool wear in drilling holes through thin stainless steel plate (JIS SUS304). Micro-drilling tests, using feed rate, step feed length, and the micro-drill diameter as experimental parameters, were carried out to measure the thrust force during peck drilling operations. Tool wear of the cutting edge and burr occurring at the outlet of drilled holes were measured at intervals of a constant number of drilled holes to consider their relationships to thrust force. As a result, the thrust force caused by tool wear during peck micro-drilling is related to the height of the burr occurring at the outlet of the drilled hole and the prefailure phase of micro-drills.

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Section: Introductionmentioning

confidence: 99%