Bagus Budiwantoro
Institut Teknologi Bandung (ITB)

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Design of Vibration Absorber using Spring and Rubber for Armored Vehicle 5.56 mm Caliber Rifle Nugraha, Aditya Sukma; Budiwantoro, Bagus; Rijanto, Estiko
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 2 (2014)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1898.412 KB) | DOI: 10.14203/j.mev.2014.v5.75-82

Abstract

This paper presents a design of vibration absorber using spring and rubber for 5.56 mm caliber rifle armored vehicle. Such a rifle is used in a Remote-Controlled Weapon System (RCWS) or a turret where it is fixed using a two degree of freedom pan-tilt mechanism. A half car lumped mass dynamic model of armored vehicles was derived. Numerical simulation was conducted using fourth order Runge Kutta method. Various types of vibration absorbers using spring and rubber with different configurations are installed in the elevation element. Vibration effects on horizontal direction, vertical direction and angular deviation of the elevation element was investigated. Three modes of fire were applied i.e. single fire, semi-automatic fire and automatic fire. From simulation results, it was concluded that the parallel configuration of damping rubber type 3, which has stiffness of 980,356.04 (N/m2) and damping coefficient of 107.37 (N.s/m), and Carbon steel spring whose stiffness coefficient is 5.547 x 106 (N/m2) provides the best vibration absorption. 
PLANNING AND SCHEDULING IN AUTOMATIC TRAIN SIGNALING MAINTENANCE: A REVIEW Raharjo, Rachmad Dwi; Wicaksono, Satrio; Budiwantoro, Bagus
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1552

Abstract

The development of automatic railway signaling systems that use moving block systems has grown rapidly. The moving block signaling system, which is a development of the fixed block system, has functions such as automatic control, shortening headways, increasing operating capacity, and railway safety. The Technology used in the moving block signaling system must be reliable and suitable for passenger comfort and safety. So, an effective and efficient maintenance method is needed. Planned and scheduled maintenance prevents disruption and gives minimum maintenance costs. The condition-based maintenance, on the other hand, is the right maintenance for an automatic train signaling system because it uses a data-driven model so that it can support decisions in determining maintenance strategies, and maintenance can be optimized using the Reliability, Availability, Maintainability, and Safety (RAMS) method with one of the Reliability Centered Maintenance (RCM) analysis tools. This optimization can increase operational safety, maintenance cost efficiency, and asset availability. In addition, another advantage of this RCM method is that it can identify critical components that require maintenance priority, so that maintenance resources can be optimized.
PLANNING AND SCHEDULING IN AUTOMATIC TRAIN SIGNALING MAINTENANCE: A REVIEW Raharjo, Rachmad Dwi; Wicaksono, Satrio; Budiwantoro, Bagus
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1552

Abstract

The development of automatic railway signaling systems that use moving block systems has grown rapidly. The moving block signaling system, which is a development of the fixed block system, has functions such as automatic control, shortening headways, increasing operating capacity, and railway safety. The Technology used in the moving block signaling system must be reliable and suitable for passenger comfort and safety. So, an effective and efficient maintenance method is needed. Planned and scheduled maintenance prevents disruption and gives minimum maintenance costs. The condition-based maintenance, on the other hand, is the right maintenance for an automatic train signaling system because it uses a data-driven model so that it can support decisions in determining maintenance strategies, and maintenance can be optimized using the Reliability, Availability, Maintainability, and Safety (RAMS) method with one of the Reliability Centered Maintenance (RCM) analysis tools. This optimization can increase operational safety, maintenance cost efficiency, and asset availability. In addition, another advantage of this RCM method is that it can identify critical components that require maintenance priority, so that maintenance resources can be optimized.