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
All of content is archived in Martynas Mazvydas National Library of Lithuania, which provides permanent archiving for scholarly journals.
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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
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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The ethics statements for our journals are based on Code of Conduct and Best-Practice Guidelines for Journal Editors.

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Mathematical Models in Engineering is published Open Access. By 'open access' 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 for commercial purposes, or any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Authors retain the copyright and full publishing rights without restrictions. Article(s) are published under the Creative Commons Attribution License (CC-BY).

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Editor's Pick

Application of A* algorithm in intelligent vehicle path planning
Application of A* algorithm in intelligent vehicle path planning

Ruili Wang, Zhizhan Lu, Yunfeng Jin, Chao Liang

Path planning is one of the important directions in the field of intelligent vehicles research. Traditional path planning algorithms generally use Dijkstra algorithm, Breadth-First-Search (BFS) algorithm and A* algorithm. Dijkstra algorithm is a search-based algorithm, which can search to an optimal path, but the disadvantage is too many expansion nodes, which leads to insufficient search efficiency. BFS algorithm is a heuristic search algorithm, which reduces the disadvantage of too many expan

Mathematical Models in Engineering, Vol. 8, Issue 3, 2022, p. 82-90.

Numerical convergence of the family of flux-continuous schemes with variable quadrature (qu1,qu2) for single phase flow in porous media
Numerical convergence of the family of flux-continuous schemes with variable quadrature (qu1,qu2) for single phase flow in porous media

Mayur Pal

Finite-volume schemes, which honor pressure and flux-continuity conditions, is developed using double quadrature (qu1,qu2), referred as double family scheme. The scheme is applicable to solve the elliptic pressure equation used in reservoir simulation. Schemes are applicable on both regular cartesian and unstructured triangular meshes. The scheme is defined over a control-volume distributed formulation. The scheme can be applied to both diagonal and full permeability tensor elliptic pressure equ

Mathematical Models in Engineering, Vol. 8, Issue 2, 2022, p. 26-41.

Electrolytic plasma polishing of NiTi alloy

A. Korolyov, A. Bubulis, J. Vėžys, Yu Aliakseyeu, V. Minchenya, V. Niss, D. Markin

Nitinol is widely used in the production of medical devices, especially the ones that are designed for minimally invasive treatment, such as stents to restore vascular patency, stent grafts to eliminate aneurysms, and cava filters to trap blood clots. One of the most important characteristics that determines the reliability of the functioning of such products in the human body is the state of the surface layer. The higher the surface quality, the less negative impact is on the circulatory system

Mathematical Models in Engineering, Vol. 7, Issue 4, 2021, p. 70-80.

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.

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