Experimental Investigation of the Effect of Independent Parameters in the Face Milling of Aluminum 6082 Alloy

Varatharajulu, M.; Duraiselvam, Muthukannan; Kumar, K. Arun; Kanniyan, C. Gabrial; Sathiyamurthy, Ramkumar

doi:10.1007/s12666-020-02161-x

Cited by 10 publications

(2 citation statements)

References 23 publications

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“…This method is inconvenient and manual measurement is required for each image which is a long time process for investigating a large number of SEM images [18,19]. The next procedure for slot and burr widths measuring is to use three-dimensional optical pro lometer which is commercially available from technology labs or various companies [5,20]. Although the pro lometer instruments make the measurement very practical and precise, these are mostly present in well-funded labs because of their relatively higher costs.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements

Akkoyun

Erçetin

Aslantaş

2021

Preprint

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In this study, the burr and slot widths formed after micro-milling process are investigated using a rapid and accurate image processing method. The measurements are obtained by processing the images and results were compared with a manual measurement method. In the cutting experiment stage, Inconel 718 alloy was chosen as the workpiece and cutting tools with various specific properties were used. The images of the burr and slots were captured using scanning electron microscope (SEM). Different tool geometries and cutting parameters were considered for choosing the SEM images. Captured images were processed with a computer vision software which was written in C + + programming language and open-sourced computer library (Open CV). The demonstrated approach was successfully measured the slot and burr widths in plain and complex conditions where slot and burr are nested. According to the close findings of manual and automated measurements, it was observed that burr widths increased especially at the down milling sides and slot widths decreased due to the increased cutting length. Specific tool properties such as number of cutting edge, helix angle and cutting length affected the slot and burr widths. It was determined that there is a good correlation between automated and manual measurements of slot and burr widths. The accuracy of the proposed method is above 91%, 98%, and 99% for up milling, down milling, and slot measurements, respectively.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements

Akkoyun

Erçetin

Aslantaş

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…This method is inconvenient and manual measurement is required for each image, which is a long time process for investigating a large number of SEM images [ 31 , 32 ]. The next procedure for slot and burr widths measurement is to use a three-dimensional optical profilometer, which is commercially available from technology labs or various companies [ 11 , 35 , 36 ]. Although the profilometer instruments make the measurement very practical and precise, these are mostly present in well-funded labs because of their relatively higher costs.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements in Micro-Milling

Akkoyun

Erçetin

Aslantaş

et al. 2021

Sensors

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In this study, the burr and slot widths formed after the micro-milling process of Inconel 718 alloy were investigated using a rapid and accurate image processing method. The measurements were obtained using a user-defined subroutine for image processing. To determine the accuracy of the developed imaging process technique, the automated measurement results were compared against results measured using a manual measurement method. For the cutting experiments, Inconel 718 alloy was machined using several cutting tools with different geometry, such as the helix angle, axial rake angle, and number of cutting edges. The images of the burr and slots were captured using a scanning electron microscope (SEM). The captured images were processed with computer vision software, which was written in C++ programming language and open-sourced computer library (Open CV). According to the results, it was determined that there is a good correlation between automated and manual measurements of slot and burr widths. The accuracy of the proposed method is above 91%, 98%, and 99% for up milling, down milling, and slot measurements, respectively. The conducted study offers a user-friendly, fast, and accurate solution using computer vision (CV) technology by requiring only one SEM image as input to characterize slot and burr formation.

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Numerical Validation for End Milling Machine Parameter Optimization of AA 6041 Using Python

Sudianto,

Jamaludin,

Abdullah

et al. 2024

Lecture Notes in Electrical Engineering

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Experimental Investigation of the Effect of Independent Parameters in the Face Milling of Aluminum 6082 Alloy

Cited by 10 publications

References 23 publications

WITHDRAWN: Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements

WITHDRAWN: Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements

Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements in Micro-Milling

Numerical Validation for End Milling Machine Parameter Optimization of AA 6041 Using Python

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