Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L
In industrial manufacturing and research laboratories, precise machining of work materials is crucial to meet the demand for fast assembly and sustainable high-quality production. Precise machining procedures play a vital role in manufacturing compatible parts that meet the production requirements....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/14/7/1376 |
| _version_ | 1797588150807166976 |
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| author | Fatih Akkoyun Zihni Alp Cevik Koray Ozsoy Ali Ercetin Ibrahim Arpaci |
| author_facet | Fatih Akkoyun Zihni Alp Cevik Koray Ozsoy Ali Ercetin Ibrahim Arpaci |
| author_sort | Fatih Akkoyun |
| collection | DOAJ |
| description | In industrial manufacturing and research laboratories, precise machining of work materials is crucial to meet the demand for fast assembly and sustainable high-quality production. Precise machining procedures play a vital role in manufacturing compatible parts that meet the production requirements. This study investigates the impact of different parameters on burr formations and slot dimensions during the micro-milling of AISI 316 material. A careful examination was conducted using scanning electron microscopy (SEM) images under varying conditions. The variables considered include cutting speed, feed rate, and depth of cut. The main finding revealed that the feed rate and depth of cut significantly influence burr formation, with lower rates and depths resulting in noticeable reductions. A higher feed rate was associated with more pronounced burr formation. Moreover, burr widths on the down-milling sides were typically wider than those on the up-milling sides due to continuous chip formation and compressive forces during down-milling. Utilizing image processing, the study further quantified burr and slot widths with high accuracy, offering a reliable method to characterize burr formation. This research presents potential ways to minimize burr formation during micro-milling processes by effectively managing machining parameters. |
| first_indexed | 2024-03-11T00:48:41Z |
| format | Article |
| id | doaj.art-4ed07aacdc324db99f4aa62f3470de62 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-11T00:48:41Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-4ed07aacdc324db99f4aa62f3470de622023-11-18T20:32:33ZengMDPI AGMicromachines2072-666X2023-07-01147137610.3390/mi14071376Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316LFatih Akkoyun0Zihni Alp Cevik1Koray Ozsoy2Ali Ercetin3Ibrahim Arpaci4Department of Mechanical and Metal Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon 61300, TurkeyDepartment of Electronic and Automation, Besni Ali Erdemoğlu Vocational School, Adıyaman University, Adıyaman 02302, TurkeyDepartment of Machine and Metal Technologies, Isparta OSB Vocational School, Isparta University of Applied Sciences, Isparta 32092, TurkeyDepartment of Naval Architecture and Marine Engineering, Maritime Faculty, Bandırma Onyedi Eylül University, Bandırma 10200, TurkeyDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University, Bandırma 10200, TurkeyIn industrial manufacturing and research laboratories, precise machining of work materials is crucial to meet the demand for fast assembly and sustainable high-quality production. Precise machining procedures play a vital role in manufacturing compatible parts that meet the production requirements. This study investigates the impact of different parameters on burr formations and slot dimensions during the micro-milling of AISI 316 material. A careful examination was conducted using scanning electron microscopy (SEM) images under varying conditions. The variables considered include cutting speed, feed rate, and depth of cut. The main finding revealed that the feed rate and depth of cut significantly influence burr formation, with lower rates and depths resulting in noticeable reductions. A higher feed rate was associated with more pronounced burr formation. Moreover, burr widths on the down-milling sides were typically wider than those on the up-milling sides due to continuous chip formation and compressive forces during down-milling. Utilizing image processing, the study further quantified burr and slot widths with high accuracy, offering a reliable method to characterize burr formation. This research presents potential ways to minimize burr formation during micro-milling processes by effectively managing machining parameters.https://www.mdpi.com/2072-666X/14/7/1376burr formation analysiscomputer visionimage analysisburr detectionclassificationadditive manufacturing |
| spellingShingle | Fatih Akkoyun Zihni Alp Cevik Koray Ozsoy Ali Ercetin Ibrahim Arpaci Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L Micromachines burr formation analysis computer vision image analysis burr detection classification additive manufacturing |
| title | Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
| title_full | Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
| title_fullStr | Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
| title_full_unstemmed | Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
| title_short | Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
| title_sort | image processing approach to investigate the correlation between machining parameters and burr formation in micro milling processes of selective laser melted aisi 316l |
| topic | burr formation analysis computer vision image analysis burr detection classification additive manufacturing |
| url | https://www.mdpi.com/2072-666X/14/7/1376 |
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