Parameterisasi Engraving Pada CNC Laser Engraver Berbasis Mikrokontroler Dengan Metode Taguchi

Lukmanul Hakim, Thoriq (2024) Parameterisasi Engraving Pada CNC Laser Engraver Berbasis Mikrokontroler Dengan Metode Taguchi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan untuk menganalisis hasil engraving pada mesin CNC laser engraver berbasis mikrokontroller Arduino dengan menggunakan metode Taguchi. Kualitas hasil engraving dipengaruhi oleh beberapa parameter proses, antara lain jarak nozzle, engraving speed, setting power, dan setting quality. Tujuan penelitian ini adalah untuk mendapatkan kombinasi parameter proses engraving agar didapatkan hasil engraving dengan kualitas kekasaran terendah terbaik berdasarkan kriteria jarak nozzle, engraving speed, setting power, setting quality, dan material yang digunakan. Penelitian dilakukan percobaan engraving dengan membuat rancangan percobaan berdasarkan metode Taguchi. Bahan uji yang digunakan adalah paperboard, kulit sintetis, multiplex, akrilik, dan kayu mahoni. Parameter proses engraving yang divariasikan pada penelitian ini meliputi Jarak Nozzle dengan 5 level 1-20 mm. Engraving Speed dengan 5 level 100-500 mm/menit. Setting Power dengan 5 level 20-100 %. Setting Quality dengan 5 level 1.000-20.000 lines/mm. Data hasil engraving dianalisis melalui uji normalitas dan homogenitas kemudian analisis variansi untuk menentukan parameter dengan kekasaran terendah. Hasil penelitian menunjukkan bahwa metode Taguchi efektif dalam menentukan kombinasi parameter optimal yang dapat meningkatkan kualitas hasil engraving. Dari hasil analisis variansi menunjukkan bahwa faktor power yang paling berpengaruh sebesar 60,95%, engrave speed 21,64%, quality 8,77%, jarak nozzle 6,98%, dan material 0,74%. Dengan setting level parameter optimasi nilai Ra smaller the better pada variasi material menghasilkan prediksi nilai akrilik 2,415 µm, kayu mahoni 2,167 µm, kulit sintetis 2,297 µm, multiplex 2,344 µm, paperboard 2,784 µm.
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This research aims to analyze the engraving results on the Arduino microcontroller-based CNC laser engraver machine using the Taguchi method. The quality of engraving results is influenced by several process parameters, including nozzle distance, engraving speed, setting power, and setting quality. The purpose of this research is to obtain a combination of engraving process parameters in order to obtain engraving results with the best lowest roughness quality based on the criteria of nozzle distance, engraving speed, setting power, setting quality, and the material used. The research conducted engraving experiments by making an experimental design based on the Taguchi method. The test materials used were paperboard, synthetic leather, multiplex, acrylic, and mahogany wood. The engraving process parameters varied in this study include Nozzle Distance with 5 levels of 1-20 mm. Engraving Speed with 5 levels 100-500 mm/min. Setting Power with 5 levels 20-100%. Setting Quality with 5 levels of 1,000-20,000 lines/mm. The data of engraving results were analyzed through normality and homogeneity tests, then analysis of variance to determine the parameter with the lowest roughness. The results show that the Taguchi method is effective in determining the optimal parameter combination that can improve the quality of engraving results. The variance analysis results show that the most influential power factor is 60.95%, engrave speed 21.64%, quality 8.77%, nozzle distance 6.98%, and material 0.74%. By setting the level of the Ra smaller the better value optimization parameter on the material variation results in a predicted value of acrylic 2.415 µm, mahogany 2.167 µm, synthetic leather 2.297 µm, multiplex 2.344 µm, paperboard 2.784 µm.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Computer Numerical Control (CNC), Surface Roughness, Mikrokontroler, Metode Taguchi, Microcontroller, Taguchi Method.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1230 Cutting and sawing machinery T Technology > TJ Mechanical engineering and machinery > TJ561 Surface
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Thoriq Lukmanul Hakim
Date Deposited:	05 Aug 2024 06:21
Last Modified:	05 Aug 2024 06:21
URI:	http://repository.its.ac.id/id/eprint/111523

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