Mathematical Models in Engineering

publishes mathematical results and models relevant to engineering science, technology and applications

Mathematical Models in Engineering (MME) ISSN (Print) 2351-5279, ISSN (Online) 2424-4627 publishes mathematical results which have relevance to engineering science and technology. Formal descriptions of mathematical models related to engineering problems, as well as results related to engineering applications are equally encouraged. Applications of mathematical models in financial engineering, mechanical and aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, nonlinear science and technology are especially encouraged. Mathematical models of interest include, but are not limited to, ordinary and partial differential equations, nonlinear analysis, stochastic processes, calculus of variations, operations research.

Established in 2015 and published 4 times a year (quarterly).

Journal is indexed in

Publication dates

Issue 1
March 31st
Issue 2
June 30th
Issue 3
September 30th
Issue 4
December 31st
Open Access
Mathematical Models in Engineering is published Open Access. By 'open access' to this literature, we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Author(s) retain copyright of their work. Articles are published under the Creative Commons Attribution License (CC-BY).
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Minvydas Ragulskis

Prof. Minvydas Ragulskis

Kaunas University of Technology, Lithuania
Editor in Chief

Editorial Board
Hojjat Adeli The Ohio State University, USA
Tahir Cetin Akinci Istanbul Technical University, Turkey
Mahmoud Bayat Mahmoud Bayat Roudehen Branch, Islamic Azad University, Iran
Rafał Burdzik Rafał Burdzik Silesian University of Technology, Poland
Maosen Cao Maosen Cao Hohai University, China
Jinde Cao Jinde Cao Southeast University, China
Sezgin Ersoy Sezgin Ersoy Marmara University, Turkey
Hee-Chang Eun Hee-Chang Eun Kangwon National University, Korea
W. H. Hsieh National Formosa University, Taiwan
Vassilis Kappatos Vassilis Kappatos Center for Research and Technology Hellas, Greece
Sunil Kumar National Institute of Technology, India
Giedrius Laukaitis Kaunas University of Technology, Lithuania
Petr Lepšik Petr Lepšik Technical University of Liberec, Czech Republic
Chen Lu Beihang University, China
Guang-qing Lu Guang-qing Lu School of Intelligent Systems Science and Engineering, Jinan University, China
Yuxin Mao Zhejiang Gongshang University, China
Doina Pisla Technical University of Cluj-Napoca, Romania
Kazimieras Ragulskis Lithuanian Academy of Sciences, Lithuania
Vinayak Ranjan Vinayak Ranjan Bennett University, India
Julia Irene Real Julia Irene Real Politechnical University of Valencia, Spain
Eligijus Sakalauskas Eligijus Sakalauskas Kaunas University of Technology, Lithuania
G. Eduardo Sandoval-Romero G. Eduardo Sandoval-Romero The National Autonomous University of Mexico, Mexico
Reza Serajian Reza Serajian University of California, USA
Shigeki Toyama Shigeki Toyama Tokyo A&T University, Japan
Agnieszka Wylomanska Wroclaw University of Technology, Poland
Xiao-Jun Yang China University of Mining and Technology, China

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Editor's Pick

Vibration of a simply supported graphene sheet with uncertain small scale parameter based on nonlocal theory
Vibration of a simply supported graphene sheet with uncertain small scale parameter based on nonlocal theory

G. Q. Xie, S. S. Ni

Small scale parameter of graphene sheet is considered as uncertain one, vibration equation of a simply supported graphene sheet with uncertainty is established based on nonlocal theory. Trigonometric function series solution and interval operator are used to obtain the upper and lower bound of response of the simply supported graphene sheet. the uncertainty level of response for the different dimension is investigated. The numerical result shows that for the same uncertainty level of small scale

Mathematical Models in Engineering, Vol. 7, Issue 2, 2021, p. 22-29.

Hybrid extraction of multi-word terms: an application on vibration-based condition monitoring technique

Konstantinos Chatzitheodorou, Vassilios Kappatos

In this paper, we present an advanced domain-specific multi-word terminology extraction method. Our hybrid approach for automatic term identification benefits from both statistical and linguistic approaches. Our main goal is to reduce as much as possible the human effort in term selection tasks as well as to provide a wide-range and representative terminology of a domain. We emphasize in identification of verb or noun phrases multi-word terms, in neologisms and technical jargons. Our architectur

Mathematical Models in Engineering, Vol. 7, Issue 1, 2021, p. 1-9.

Numerical method and program for computing inlet flow distribution in sedimentation tanks
Numerical method and program for computing inlet flow distribution in sedimentation tanks

Ababu Teklemariam Tiruneh, Tesfamariam Debessai

Inlet flow distribution devices play an important role in providing uniform flow distribution in water treatment process units such as sedimentation tanks. Orifices and weirs are commonly provided along the inlet flow channels that are built across the width of sedimentation tanks. This paper presents a numerical method and computer program for computation of the inlet flow distribution over weirs and orifices. The method is based on solving a differential equation of the flow profile along the

Mathematical Models in Engineering, Vol. 6, Issue 4, 2020, p. 160-171.

The mathematical model of the improved system of the seat with adjustable pressure profile

Tien Tran Xuan, Dong Nguyen Phu

Following a patented solution, a seat which is possible to change its stiffness was created. The seat contains an actively controlled pneumatic spring element (the PSE). For the requirement of working faster and more precisely, an improvement was applied. This article deals with derivation of mathematical model of the improved PSE system used for subsequent analysis. The model is considered as a mixed model which is a combination of single-discipline subsystems as mechanical, electrical, fluid a

Mathematical Models in Engineering, Vol. 6, Issue 2, 2020, p. 79-92.