Analisis Dan Optimasi Kualitas Proyektil Frangible Produk Metalurgi Serbuk Dengan Metode Taguchi Grey Relational dan Neural Network

Ismiyah, Nukha (2021) Analisis Dan Optimasi Kualitas Proyektil Frangible Produk Metalurgi Serbuk Dengan Metode Taguchi Grey Relational dan Neural Network. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Proyektil frangible saat ini dikembangkan menggunakan prinsip metalurgi serbuk. Proses manufaktur proyektil frangible yang begitu panjang dan banyaknya parameter yang perlu diperhatikan membuat perlunya proses pengendalian kualitas. Proses quality control proyektil frangible dilakukan dalam beberapa tahap, yaitu tahap inspeksi untuk menganalisis cacat secara visual dan dimensional, serta tahap control test untuk pengujian peluru sehingga peluru memiliki karakteristik atau properti yang memenuhi standar. Penelitian ini dilakukan untuk menginvestigasi proses manufaktur proyektil sehingga dapat diketahui faktor faktor yang dapat menyebabkan rejectnya proyektil pada tahap inspeksi, dan mengoptimasi proses quality control di tahap control test sehingga proyektil memiliki karakteristik atau properti yang memenuhi standar. Data yang digunakan merupakan data sekunder dari tim riset peluru frangible. Karakteristik proyektil yang dioptimasi adalah frangibility factor, densitas, dan modulus elastisitas dengan menggunakan metode taguchi grey-relational. Parameter proses dalam penelitian ini ialah tekanan kompaksi, temperatur sintering, dan waktu tahan. Berdasarkan hasil analisis, didapatkan bahwa faktor utama penyebab terjadinya reject proyektil adalah dari faktor proses manufaktur, yaitu parameter proses yang kurang sesuai. Maka dari kemudian dilakukan optimasi pada parameter proses manufakturnya. Berdasarkan hasil optimasi, didapatkan setting parameter untuk respon optimum ialah tekanan kompaksi 500 MPa dengan persen kontribusi sebesar 83.52%, temperatur sintering 300 C dengan persen kontribusi 10.05%, dan waktu tahan 90 menit dengan persen kontribusi sebesar 6.38%. Setting parameter yang didapatkan sesuai dengan setting parameter yang didapat dari neural network.
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Nowadays frangible projectile is developed using powder metallurgy method. The frangible projectile manufacturing process is taking long time and there are a lot of parameters that need to be considered. This make a quality control become crucial point. The process quality control of frangible projectiles is carried out in two stages, there are, the inspection stage to analyze visually and dimensionally, and the control test stage for bullet testing so that the bullets have characteristics or properties that meet standards. This research was conducted to investigate the manufacturing process of projectile so that the cause of reject projectile at the inspection stage could be analyze, and to optimize the quality control process at the control test stage so that the projectiles have criteria or properties that meet the standards. This research was conducted to investigate the projectile quality control process at the inspection stage to see the factors that cause projectile rejection, and to optimize the quality control process at the control test stage so that the projectiles have criteria or properties that meet the standards. The data used in this experiment are secondary data from the frangible bullet research team. The projectile characteristics that be optimized are frangibility factor, density, and modulus of elasticity using the taguchi-gray-relational method. The process parameters in this experiment were compacting pressure, sintering temperature, and holding time. Based on the results of the analysis, it was found that the main factor that causing reject projectile is from its manufacturing process, mainly in process parameter. Meanwhile, based on the optimization results, the parameter settings for the optimal response are the compacting pressure of 500 MPa with percentage contribution of 83.52%, 300 C sintering temperature with a percentage contribution of 10.05%, and holding time 90 minutes with a percentage contribution of 6.38%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	quality control, frangible, metalurgi serbuk, taguchi grey-relational, neural network quality control, frangible, powder metallurgy, taguchi grey-relational, neural network
Subjects:	Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) T Technology > TS Manufactures > TS156 Quality Control. QFD. Taguchi methods (Quality control)
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Material & Metallurgical Engineering > 28201-(S1) Undergraduate Thesis
Depositing User:	Nukha Ismiyah
Date Deposited:	01 Mar 2021 02:22
Last Modified:	01 Mar 2021 02:22
URI:	http://repository.its.ac.id/id/eprint/82994

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