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).
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Article processing charges
The publication costs of an article are paid from an author's research budget, or by their supporting institution, in the form of Article Processing Charges of 350 EUR.
Publication ethics and malpractice
The ethics statements for our journals are based on Code of Conduct and Best-Practice Guidelines for Journal Editors.
Intellectual property rights
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
Research on intelligent detection of pavement damage based on CNN
Yuanhang Tang, Kexin Li, Kaihang Wang
In order to timely detect road damage under complex constraints, the road damage mechanism was used to reclassify the types of road damage, the VGG-19 model was applied to identify and detect less road damage images intelligently through convolutional neural network and transfer learning and at the same time, the road damage situation was detected using the Softmax classifier and the feasibility and accuracy of the method were verified on the basis of the detection set. The results show that the
Mathematical Models in Engineering, Vol. 8, Issue 4, 2022, p. 98-107.
https://doi.org/10.21595/mme.2022.22918
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.
https://doi.org/10.21595/mme.2022.22828
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.
https://doi.org/10.21595/mme.2022.22636
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.
https://doi.org/10.21595/mme.2021.22351
