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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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 200 EUR.
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Editor's Pick
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
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.
https://doi.org/10.21595/mme.2021.21982
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.
https://doi.org/10.21595/mme.2021.21850
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.
https://doi.org/10.21595/mme.2020.21442
