Analisis Standar Deviasi Dan Error Dimensi Artificial Defect Pada Daerah HAZ Welding Hasil Electric Discharge Machining Menggunakan Image Processing

Krisnasetiawan, Timotius Giant (2023) Analisis Standar Deviasi Dan Error Dimensi Artificial Defect Pada Daerah HAZ Welding Hasil Electric Discharge Machining Menggunakan Image Processing. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Salah satu contoh pemesinan non-konvensional adalah Electric Discharge Machining (EDM). EDM sendiri merupakan salah satu teknik pemesinan yang populer karena kepresisiannya dalam memproses paduan, komposit, keramik, dan material lain yang sulit untuk dikerjakan. Salah satu objek yang membutuhkan proses pemesinan non-konvensional seperti EDM adalah PAUT Demo Block atau Calibration Block dimana pada blok ini terdapat beberapa artificial defect atau cacat buatan yang akan digunakan untuk menguji alat phased-array ultrasonic testing agar dapat mendeteksi cacat dengan cara non destructive test (NDT) dengan baik dan akurat. Salah satu proses penting pada pembuatan PAUT Demo Block adalah diharuskannya terdapat sambungan las. Proses pengelasan yang dilakukan akan menghasilkan daerah HAZ atau Heat Affected Zone dengan kemungkinan terjadinya korosi intergranular yang diduga dapat menyebabkan ukuran hasil pemesinan kurang sesuai. Berdasarkan fenomena Heat Affected Zone hasil dari proses welding yang terbentuk, pengukuran standar deviasi dan error dimensi dapat dilakukan untuk mengetahui kesesuaian antara hasil pemesinan dengan ukuran desain yang digunakan. Dalam pengukuran standar deviasi dan error dimensi artificial defect hasil proses pemesinan Die-Sinking EDM akan dilakukan dengan cara image processing dengan menggunakan aplikasi Matlab R2020b dimana pengambilan gambar digital artificial defect akan menggunakan kamera iPhone 13 Pro, sedangkan penghitungan standar deviasi dan error dimensi defect dihitung menggunakan aplikasi Microsoft Excel. Hasil yang didapatkan melalui penelitian ini yaitu penerapan image processing dapat digunakan dalam melakukan pengukuran artificial defect pada PAUT demo block dimana pada proses image processing yang dilakukan dimulai dari mengubah ke grayscale, kemudian akan diubah menjadi gambar biner agar defect dapat terbaca dengan maksimal kemudian dilanjutkan dengan pengukuran panjang dan lebar defect. Melalui hasil pengukuran, ukuran dari tiap defect sudah memenuhi standar ASME yang digunakan serta hasil error dimensi artificial defect yang didapatkan cukup rendah dimana hasil pengukuran mendekati dengan ukuran desain dengan rata-rata tingkat akurasi berada di atas 95% dengan nilai tertinggi sebesar 98,07% pada defect 4 namun terdapat dua error di bawah 95% dengan nilai error sebesar 93,30% pada panjang defect 3 dan 91,28% pada lebar defect 4. Pada perhitungan standar deviasi, hasil yang didapatkan cukup rendah juga dengan nilai standar deviasi berada pada range 0,05 mm hingga 0,17 mm
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One example of non-conventional machining is Electric Discharge Machining (EDM). EDM itself is a machining technique that is popular because of its precision in processing alloys, composites, ceramics and other materials that are difficult to work with. One object that requires non-conventional machining processes such as EDM is the PAUT Demo Block or Calibration Block where in this block there are several artificial defects that will be used to test the phased-array ultrasonic testing tool so that it can detect defects by means of a non-destructive test (NDT) properly and accurately. One of the important processes in making the PAUT Demo Block is that it requires a welded joint. The welding process carried out will produce a HAZ or Heat Affected Zone area with the possibility of intergranular corrosion which is thought to cause the size of the machining results to be less appropriate. Based on the Heat Affected Zone phenomenon resulting from the welding process that is formed, standard deviation and dimensional error measurements can be made to determine the suitability between the machining results and the design size used.
In measuring the standard deviation and dimensional errors of artificial defects resulting from the Die-Sinking EDM machining process will be carried out by means of image processing using Matlab R2020b application where digital images of artificial defect will be taken using iPhone 13 Pro camera, while standard deviation calculations and defect dimensional errors are calculated using Microsoft Excel application. The results obtained through this research are the application of image processing that can be used to measure artificial defects in the PAUT demo block where the image processing process starts from changing the picture to grayscale, then it will be converted into a binary image so that the defects can be read optimally, then proceed with measurements of length and width of the defect. Through the measurement results, the size of each defect meets the ASME standard used and the dimensional error results for artificial defects obtained are quite low where the measurement results are close to the design size with an average accuracy rate of above 95% with the highest value of 98,07%. on defect 4 but there are two errors below 95% with an error value of 93,30% on defect 3’s length and 91,28% on defect 4’s width. In calculating the standard deviation, the results obtained are quite low with standard deviation values in the range 0,05 mm to 0,17 mm

Item Type:	Thesis (Other)
Uncontrolled Keywords:	artificial defect, EDM, HAZ, standar deviasi dan error dimensi, image processing, artificial defect, EDM, HAZ, standard deviation and dimentional error, image processing
Subjects:	T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning)
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21201-(S1) Undergraduate Thesis
Depositing User:	Timotius Giant Krisnasetiawan
Date Deposited:	16 Feb 2023 02:06
Last Modified:	16 Feb 2023 02:06
URI:	http://repository.its.ac.id/id/eprint/97293

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