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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Energi Dan Manufaktur
Yasuo Suga
Faculty of Science and Technology, Keio University
Computer Science & IT Energy Industrial & Manufacturing Engineering

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SISTEM KONTROL JARINGAN SYARAF TIRUAN BERBASIS SIMULASI PADA PENGELASAN PIPA ALUMINUM Ario Sunar Baskoro; Masashi Kabutomori; Yasuo Suga
Jurnal Ilmu Komputer dan Informasi Vol 4, No 1 (2011): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (878.175 KB) | DOI: 10.21609/jiki.v4i1.155

Abstract

Dalam penelitian ini telah dikembangkan sistem pengelasan otomatis Tungsten Inert Gas (TIG) dengan menggunakan sensor vision pada pengelasan pipa aluminum. Penelitian ini mempelajari proses pengelasan cerdas pipa paduan aluminum 6063S-T5 dalam posisi tetap dengan obor las (welding torch) bergerak dan menggunakan mesin las AC. Model Jaringan Syaraf Tiruan (neural network) untuk pengendalian kecepatan pengelasan telah dikembangkan agar dapat bekerja secara otomatis. Untuk melatih Jaringan Syaraf Tiruan ini diperlukan cukup banyak data dari penelitian sehingga memerlukan waktu dan dana yang cukup besar. Penelitian ini menawarkan proses baru untuk memperkirakan dan mengendalikan penetrasi pengelasan dalam pengelasan pipa paduan aluminum. Penetrasi las diperkirakan dengan menggunakan metode perkiraan secara hibrida yaitu dengan mengombinasikan simulasi pengelasan dan pengamatan visual menggunakan sensor vision. Dari hasil eksperimen didapatkan bahwa sistem pengendalian cukup efektif untuk mendeteksi kolam las (molten pool) dan menghasilkan pengelasan yang baik. This research has developed an automatic welding system Tungsten Inert Gas (TIG) using sensor vision on aluminum pipe welding. This research studied the process of intelligent welding of alloy pipe aluminum 6063S-T5 in a fixed position with a welding torch to move and use the AC welding machines. The neural network model to control the speed of the welding has been developed in order to work automatically. The neural network train need quite a lot of data from studies that require time and substansial funds. This research offers a new process for estimating and controlling welding penetration in welding of aluminum alloy pipe. Weld penetration was estimated by using the approximate hybrid method that combines the simulations of welding and visual inspection using sensor vision. The experiment results that the control system is effective enough to detect the molten pool and produce a good weld.
A Java GUI for the Design of an Impeller Bramantya M. A.; Zahari Taha; Yasuo Suga
Jurnal Energi Dan Manufaktur Vol 2, No.1 Juni 2007
Publisher : Department of Mechanical Engineering, University of Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (19.116 KB)

Abstract

Graphical User Interface (GUI) elements are treated as objects. They encapsulate data and method in a simple window. The GUI developed in this paper is to assisting designing and manufacturing an impeller pump. The software is developed in JAVA. Programming in JAVA takes advantages of its flexibilities. Results are presented in 2 D graphics and animation. Cubic Bezier curves algorithm is used to generate the impeller curve. The software is suitable for small industries and educational purposes.
Co-Authors Ario Sunar Baskoro Bramantya M. A. Masashi Kabutomori Zahari Taha