Výsledky vyhledávání - "Khairunnisa Bte Mohmad"

Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm

Autor: Ubaidillah, Mohd Hatta Mohammed Ariff, Abdul Yasser Abd Fatah, K. D. Saharuddin, Irfan Bahiuddin, Nurhazimah Nazmi, Khairunnisa Bte Mohmad, Saiful Amri Mazlan

Publikováno v: Open Engineering, Vol 11, Iss 1, Pp 584-591 (2021)

Magnetorheological (MR) fluid is among the smart materials that can change its default properties with the influence of a magnetic field. Typical application of an MR fluid based device involves an adjustable damper which is commercially known as an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d57b63dc598c3f887ff880e30452f24
https://doi.org/10.1515/eng-2021-0053

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Accurate and fast estimation for field-dependent nonlinear damping force of meandering valve-based magnetorheological damper using extreme learning machine method

Autor: Seung-Bok Choi, Ubaidillah, Saiful Amri Mazlan, Fitrian Imaduddin, Irfan Bahiuddin, Mohd Hatta Mohammed Ariff, Khairunnisa Bte Mohmad

Publikováno v: Sensors and Actuators A: Physical. 318:112479

The application of artificial neural network (ANN) models in magnetorheological (MR) damper has gained interest in various studies because of the high accuracy in predicting the damping force, especially for control purposes. However, the existing ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da09b6de2c1f96f7fda35739c817c835
https://doi.org/10.1016/j.sna.2020.112479

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Constitutive models for predicting field-dependent viscoelastic behavior of magnetorheological elastomer using machine learning

Autor: Nurhazimah Nazmi, Siti Aishah Abdul Aziz, Saiful Amri Mazlan, Khairunnisa Bte Mohmad, Irfan Bahiuddin, Kasma Diana Saharuddin, Abdul Yasser Abdul Fatah, Mohd Hatta Mohammed Ariff

Publikováno v: Smart Materials and Structures. 29:087001

This work presents new constitutive models of a magnetorheological (MR) elastomer viscoelastic behavior using a machine learning method to predict the magnetic field dependent-stiffness and damping properties. The multiple output-models are formulate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b16b4a82fa2fc5cebece88fbe580b67
https://doi.org/10.1088/1361-665x/ab972d

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