• Mar 24, 2016 News!Vol.3, No.3 has been indexed by EI(Inspec)!   [Click]
  • Jul 01, 2016 News!IJMMM Vol.4, No.3 has been published with online version. 15 peer reviewed articles are published in this issue.   [Click]
  • Jun 02, 2016 News!IJMMM Vol.4, No.2 has been published with online version. 15 peer reviewed articles are published in this issue.   [Click]
General Information
    • ISSN: 1793-8198
    • Frequency: Quarterly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta
    • Executive Editor: Ms. Jessica C. Xiao
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS), Engineering & Technology Digital Library,  ProQuest, Crossref, Ulrich's Periodicals Directory, DOAJ, and Electronic Journals Library .
    • E-mail ijmmm@ejournal.net
Editor-in-chief
Prof. K. M. Gupta
Motilal Nehru National Institute of Technology, India.
It is my honor to be the editor-in-chief of IJMMM. I will do my best to help develop this journal better.

International Journal of Materials, Mechanics and Manufacturing

International Journal of Materials, Mechanics and Manufacturing (IJMMM) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of materials, mechanics and manufacturing. The focus is to publish papers on state-of-the-art materials, mechanics and manufacturing. Submitted papers will be reviewed by technical committees of the journal and association. The audience includes researchers, managers and operators for materials, mechanics and manufacturing as well as designers and developers.

All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

Featured Article
A Control Scheme for Industrial Robots Using Artificial Neural Networks
M. Dinary, Abou-Hashema M. El-Sayed, Abdel Badie Sharkawy, and G. Abouelmagd
This paper develops a new model-free control scheme based on artificial neural networks (ANN) for trajectory tracking applied on industrial manipulators. This scheme is developed to control arm robot manipulator...[Read More]
 


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E-mail: ijmmm@ejournal.net