Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Mesin
Wiranto Arismunandar
Jurusan Teknik Mesin - Institut Teknologi Bandung (ITB)
Mechanical Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
EFFECTS OF HYDROGEN ADDITION INTO INTAKE AIR ON THE HYDROCARBON EMISSION OF GASOLINE ENGINES AT COLD START CONDITION Hariyanto, Arief; Arismunandar, Wiranto; Engel, Gerard George
Mesin Vol 22, No 2 (2007)
Publisher : Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.217 KB)

Abstract

Start process, particularly cold start condition is considered important to be focused in terms of emission reduction due to high unburned hydrocarbon (HC) concentration in the exhaust gas. Several methods have been proposed and implemented for reducing exhaust gas emission during starting condition. In this paper will be discussed the addition of hydrogen into intake air in order to reduce the level of HC emission during cold start condition. Using this method, the combustion process during starting will be improved to produce better combustion. This paper describes an experiment conducted to find the optimal amount of hydrogen added on start process at various coolant temperatures, which is effective to reduce the total HC concentration at each start temperature, respectively. The results show that the HC concentration in the exhaust gas is influenced by the temperature of engine and can be reduced significantly by hydrogen addition into intake air.
KONTROL AKTIF KEKAKUAN DAN MASSA STRUKTUR DENGAN MENGGUNAKAN JARINGAN SARAF TIRUAN Setio, Sangriyadi; Setio, Herlien D; Arismunandar, Wiranto
Mesin Vol 18, No 1 (2003)
Publisher : Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5334.7 KB)

Abstract

This paper presents a theoretical and experimental study on active control structure excited by seismic loads using artificial neural network Artificial neural network is used to calculate the control force based on acceleration of the structure which is obtained by accelerometer measurement. The control mechanism is implemented on the structure using active stiflness and mass based on continuous vibration measurement. The reability of the active control system with artificial neural network has been tested experimentally using a reduced model of two=storey steel flame excited by base acceleration through a small shaking table. The experimental study shows that the artificial neural network control method gives satisfactory results for many types of base excitation such as random and El-Centro N-S earthquake accelerations. The neuro control algorithm is simple and reduces consideranbly computational time.
RESPONS STOKASTIK SISTEM DINAMIK NON-LINIER DENGAN n DERAJAT KEBEBASAN Setio, Sangriyadi; Arismunandar, Wiranto
Mesin Vol 11, No 1 (1996)
Publisher : Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3001.428 KB)

Abstract

Fenomena loncatan yang terdapat pada suatu sistem dinamik non-linier deterministik, telah lama dlkenal dengan baik. Tetapi pada sistem non-linier acak, fenomena ini sangat kurang dikenal. Secara alami sebagian besar strulkrur mengalami gaya-gaya luar yang sifatnya acak dan penyelesaian stokastik dari suatu sistem non-linier telah menarik perhatian banyak peneliti pada akhir-akhir ini. Pada tulisan ini akan diperlihatkan bahwa fenomena loncatan dapat dihasilkan dan suatu system non-linier yang mengalami gaya eksitasi luar acak. Masalah akan diselesaikan dengan menggunakan persamaan diferensial stokastik Ito, dan persamaan momen yang tak terbatas akan dibatasi dengan menggunakan bantuan metode Gauss tertutup.
Co-Authors Arief Hariyanto Engel, Gerard George Sangriyadi Setio, Sangriyadi Setio, Herlien D