scispace - formally typeset
B

Bhre Wangsa Lenggana

Researcher at Sebelas Maret University

Publications -  15
Citations -  25

Bhre Wangsa Lenggana is an academic researcher from Sebelas Maret University. The author has contributed to research in topics: Magnetorheological fluid & Computer science. The author has an hindex of 2, co-authored 6 publications receiving 7 citations.

Papers
More filters
Book ChapterDOI

Improvement of Space Tube Frame for Formula Student Vehicle

TL;DR: In this article, the 3rd generation has the highest stiffness to weight ratio compared to the 1st, 2nd, and 3rd generations, and the results showed that 3rd-generation chassis has better stiffness compared to 1st and 2nd-generation.
Journal ArticleDOI

Review of Magnetorheological Damping Systems on a Seismic Building

TL;DR: In this article, the authors investigated the efficacy of a magnetorheological (MR) damper, a viscous-type damping device with a semi-active system, in a simulation that applied the damper to the side of a building structure.
Journal ArticleDOI

A New Magnetorheological Fluids Damper for Unmanned Aerial Vehicles

TL;DR: In this article, the authors proposed the development of damping technology using intelligent materials as working fluids for the landing gear of Unmanned Aerial Vehicles (UAV) during the landing process.
Journal ArticleDOI

Declining Performance of Silicone-Based Magnetorheological Elastomers after Accelerated Weathering.

TL;DR: In this paper, the changes to the chemical and rheological properties of both isotropic and anisotropic magnetorheological elastomers after accelerated weathering were examined, and the morphological analysis results showed that the surface was rough and more cavities occurred.
Journal ArticleDOI

An Innovative Design of Magnetorheological Lateral Damper for Secondary Suspension of a Train

TL;DR: In this article, a magnetorheological (MR) damper was used for secondary suspension of train bogie. And the authors presented the design and working principle of the MR valve including a mathematical model to predict the pressure drop.