Prediction of Drill Bit Breakage Using an Infrared Sensor
In this paper, a novel drill bit breakage prediction method featuring a low-cost commercial infrared sensor to monitor drill bit corner wear is proposed. In the proposed method, the drill bit outer corner wear state can be monitored by measuring reflected infrared light because the reflection phenom...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/8/2808 |
| _version_ | 1797412140611534848 |
|---|---|
| author | Min-Jae Jeong Sang-Woo Lee Woong-Ki Jang Hyung-Jin Kim Young-Ho Seo Byeong-Hee Kim |
| author_facet | Min-Jae Jeong Sang-Woo Lee Woong-Ki Jang Hyung-Jin Kim Young-Ho Seo Byeong-Hee Kim |
| author_sort | Min-Jae Jeong |
| collection | DOAJ |
| description | In this paper, a novel drill bit breakage prediction method featuring a low-cost commercial infrared sensor to monitor drill bit corner wear is proposed. In the proposed method, the drill bit outer corner wear state can be monitored by measuring reflected infrared light because the reflection phenomenon is influenced by wear, edge shape, and surface roughness of the drill bit. In the experiments, a titanium workpiece was drilled without using cutting fluid to accelerate drill bit fracture. After drilling a hole in the workpiece, reflected infrared light was measured for the drill bit rotating at 100 rpm. Collected data on intensity of infrared light reflected from the circumferential surface of the drill bit versus the rotation angle of the drill bit were considered to predict tool breakage; two significant positions to predict tool breakage were found from the reflected infrared light graphs. By defining gradient vectors from the slopes of the reflected infrared light curves, a reliable criterion for determining drill bit breakage could be established. The proposed method offers possibilities for new measurement and analysis methods that have not been used in conventional tool wear and damage studies. The advantage of the proposed method is that the measurement device is easy to install and the measured signal is resistant to electromagnetic noise and ambient temperature because optical fiber is used as the signal transmission medium. It also eliminates the need for complex analysis of the measured signal, eliminating the need for a high-performance analyzer and reducing analysis time. |
| first_indexed | 2024-03-09T04:57:48Z |
| format | Article |
| id | doaj.art-1197c4069fa44824a4933dd7cdd8b07c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:57:48Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1197c4069fa44824a4933dd7cdd8b07c2023-12-03T13:03:40ZengMDPI AGSensors1424-82202021-04-01218280810.3390/s21082808Prediction of Drill Bit Breakage Using an Infrared SensorMin-Jae Jeong0Sang-Woo Lee1Woong-Ki Jang2Hyung-Jin Kim3Young-Ho Seo4Byeong-Hee Kim5Dry Strip Division Dry Strip System Group, PSK Inc., Hwaseong 18449, KoreaInterdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University, Chuncheon 24341, KoreaThe Advanced Education Center of Convergence Technology in Personalized Smart Healthcare System for Active Seniors, Kangwon National University, Chuncheon 24341, KoreaDry Strip Division Dry Strip System Group, PSK Inc., Hwaseong 18449, KoreaInterdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University, Chuncheon 24341, KoreaInterdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University, Chuncheon 24341, KoreaIn this paper, a novel drill bit breakage prediction method featuring a low-cost commercial infrared sensor to monitor drill bit corner wear is proposed. In the proposed method, the drill bit outer corner wear state can be monitored by measuring reflected infrared light because the reflection phenomenon is influenced by wear, edge shape, and surface roughness of the drill bit. In the experiments, a titanium workpiece was drilled without using cutting fluid to accelerate drill bit fracture. After drilling a hole in the workpiece, reflected infrared light was measured for the drill bit rotating at 100 rpm. Collected data on intensity of infrared light reflected from the circumferential surface of the drill bit versus the rotation angle of the drill bit were considered to predict tool breakage; two significant positions to predict tool breakage were found from the reflected infrared light graphs. By defining gradient vectors from the slopes of the reflected infrared light curves, a reliable criterion for determining drill bit breakage could be established. The proposed method offers possibilities for new measurement and analysis methods that have not been used in conventional tool wear and damage studies. The advantage of the proposed method is that the measurement device is easy to install and the measured signal is resistant to electromagnetic noise and ambient temperature because optical fiber is used as the signal transmission medium. It also eliminates the need for complex analysis of the measured signal, eliminating the need for a high-performance analyzer and reducing analysis time.https://www.mdpi.com/1424-8220/21/8/2808tool condition monitoringdrill tool weardrill tool breakageinfrared sensor |
| spellingShingle | Min-Jae Jeong Sang-Woo Lee Woong-Ki Jang Hyung-Jin Kim Young-Ho Seo Byeong-Hee Kim Prediction of Drill Bit Breakage Using an Infrared Sensor Sensors tool condition monitoring drill tool wear drill tool breakage infrared sensor |
| title | Prediction of Drill Bit Breakage Using an Infrared Sensor |
| title_full | Prediction of Drill Bit Breakage Using an Infrared Sensor |
| title_fullStr | Prediction of Drill Bit Breakage Using an Infrared Sensor |
| title_full_unstemmed | Prediction of Drill Bit Breakage Using an Infrared Sensor |
| title_short | Prediction of Drill Bit Breakage Using an Infrared Sensor |
| title_sort | prediction of drill bit breakage using an infrared sensor |
| topic | tool condition monitoring drill tool wear drill tool breakage infrared sensor |
| url | https://www.mdpi.com/1424-8220/21/8/2808 |
| work_keys_str_mv | AT minjaejeong predictionofdrillbitbreakageusinganinfraredsensor AT sangwoolee predictionofdrillbitbreakageusinganinfraredsensor AT woongkijang predictionofdrillbitbreakageusinganinfraredsensor AT hyungjinkim predictionofdrillbitbreakageusinganinfraredsensor AT younghoseo predictionofdrillbitbreakageusinganinfraredsensor AT byeongheekim predictionofdrillbitbreakageusinganinfraredsensor |