High Energy Release-high Retraction Smart Polymer Fibers used in Artificial Muscle Fabrication

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Pub Date : 2023-01-01 DOI:10.5829/ije.2023.34.04a.15

M. Karevan, M. A. Motalleb, A. Jannesari, M. Zeinali

引用次数: 0

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高能释放-高收缩智能聚合物纤维在人造肌肉制造中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-

自引率

23.10%

发文量

期刊介绍： The objective of the International Journal of Engineering is to provide a forum for communication of information among the world''s scientific and technological community and Iranian scientists and engineers. This journal intends to be of interest and utility to researchers and practitioners in the academic, industrial and governmental sectors. All original research contributions of significant value in all areas of engineering discipline are welcome. This journal is published in two quarterly transactions. Transactions A (Basics) deals with the engineering fundamentals. Transactions B (Applications) are concerned with the application of engineering knowledge in the daily life of the human being and Transactions C (Aspects) - starting from January 2012 - emphasize on the main engineering aspects whose elaboration can yield knowledge and expertise that can equally serve all branches of engineering discipline. This journal will publish authoritative papers on theoretical and experimental researches and advanced applications embodying the results of extensive field, plant, laboratory or theoretical investigation or new interpretations of existing problems. It may also feature - when appropriate - research notes, technical notes, state-of-the-art survey type papers, short communications, letters to the editor, meeting schedules and conference announcements. The language of publication is English. Each paper should contain an abstract both in English and Persian. However, for the authors who are not familiar with Persian language, the publisher will prepare the translations. The abstracts should not exceed 250 words.