Tribology of Composite Materials
Submission Deadline: Jan. 30, 2017

This special issue currently is open for paper submission and guest editor application.

Join as Guest Editor Submit to Special Issue
Lead Guest Editor
Department of Mechanical Engineering, Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal, Karnataka, India
Guest Editors
  • Faculty of Mechanical Engineering, GIK Institute of Engineering Sciences & Technology, Topi, KPK, Pakistan
  • Nilesh Kumar
    Department of Materials Science and Engineering, University of North Texas, Denton, Texas, USA
  • Department of Mechanical Engineering, Al Falah University, Faridabad, Haryana, India
  • Tushar Borkar
    Department of Mechanical Engineering, Cleveland State University, Lakewood, Ohio, USA
  • Baban Parisa Dathwade
    Department of Mechanical Engineering, Bahubali College of Engineering Shravanabelagola, Hassan, Karnataka, India
  • Fuat Kara
    Department of Manufacturing Engineering, Duzce University, Düzce, Turkey
  • Department of Mechanical Engineering, Malnad College of Engineering, Hassan, Karnataka, India
  • Shivan Ismael Abdullah
    Department of Engineering, University of Zakho, Duhok, Zary land, Iraq
  • Ashok Kumar Mei
    Department of Materials Science & NanoEngineering, Rice University, Houston, Texas, USA
  • Anil Kumar
    Department of Mechanical Engineering, Mvn university, Palwal, Haryana, India
  • Helena Prima Garcia
    Molecular Materials Research unit, Institute of Molecular Science, Valencia, Spain
  • Kazem Reza Kashyzadeh
    Young Researchers and Elite Club, Semnan Branch, Islamic Azad University, Tehran, Iran
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=123). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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Introduction
Today’s technological progress is due to the sophistication in materials. With the advancement of technology, there was a demand for better performing materials satisfying conflicting requirements like lightweight, strong, wear resistant, capable of withstanding shocks and be able to operate at abusive environments. No conventional materials alone are able to meet these demands. This has resulted in the development of advanced materials and composite form one class of such materials.

Composites are emerging as promising materials in many structural and tribological applications. This calls for thorough investigation of the tribosystem to understand the influence of various parameters on tribological behaviour of composites at the laboratory scale and modeling the wear behavior using statitistical, finite element and artificial neural network techniques.

This special issue is to improve the dissemination of advanced research in the area of tribological behavior of composite materials. Original research papers are solicited in any aspect of tribological behavior of composites with different modeling techniques.

Aims and scope
1. Sliding, abrasive, erosive wear behavior of composites
2. Effect of Nano/micro fillers/fibres on tribology of composites
3. Taguchi, regression and grey relational analysis in tribology of composites
4. Finite element analysis technique to study the wear behavior
5. Prediction of friction and wear by artificial neural network
6. Mathematical model construction for friction and wear theory
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