Prediction for magnetostriction magnetorheological foam using machine learning method-Reference-Cited by-同舟云学术

Prediction for magnetostriction magnetorheological foam using machine learning method

Published:2022-07-16 Issue:34 Volume:139 Page:
ISSN:0021-8995
Container-title:Journal of Applied Polymer Science
language:en
Short-container-title:J of Applied Polymer Sci

Author:

Rohim Muhamad Amirul Sunni¹^ORCID,Nazmi Nurhazimah¹^ORCID,Bahiuddin Irfan²^ORCID,Mazlan Saiful Amri¹^ORCID,Norhaniza Rizuan¹^ORCID,Yamamoto Shin‐Ichiroh³,Nordin Nur Azmah¹^ORCID,Abdul Aziz Siti Aishah⁴^ORCID

Affiliation:

1. Malaysia‐Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia

2. Mechanical Engineering Department, Vocational College Universitas Gadjah Mada Yogyakarta Indonesia

3. Department of Bio‐Science and Engineering Shibaura Institute of Technology Saitama Japan

4. Faculty of Applied Sciences Universiti Teknologi MARA Pahang Pahang Malaysia

Funder

Japan International Cooperation Agency

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,Surfaces, Coatings and Films,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/app.52798

Reference45 articles.

1. Harnessing Viscous Flow to Simplify the Actuation of Fluidic Soft Robots

2. Soft Robotics: Review of Fluid-Driven Intrinsically Soft Devices; Manufacturing, Sensing, Control, and Applications in Human-Robot Interaction

3. Models are experiments, experiments are models

4. A numerical study on magnetostrictive phenomena in magnetorheological elastomers

5. Theoretical models for magneto-sensitive elastomers: A comparison between continuum and dipole approaches

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on the magnetorheological materials and applications;International Journal of Applied Electromagnetics and Mechanics;2024-08-09

2. A Detection Method of Bolt Out-of-Stock Defect in Distribution Network Lines Based on Attention Mechanism;2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE);2023-10-20

3. Non-tuned single-layer feed-forward neural network learning machine—coding and implementation;Machine Learning in Earth, Environmental and Planetary Sciences;2023

4. Bibliometric Review of Magnetorheological Materials;Sustainability;2022-11-28