scispace - formally typeset
Search or ask a question
Institution

Technological Educational Institute of Western Macedonia

About: Technological Educational Institute of Western Macedonia is a based out in . It is known for research contribution in the topics: Symplectic geometry & Numerical integration. The organization has 291 authors who have published 522 publications receiving 7682 citations. The organization is also known as: TEI of West Macedonia & TEI of Western Macedonia.


Papers
More filters
Journal ArticleDOI
16 Nov 2018
TL;DR: In this paper, the authors assess the fiscal and protectionist role of tariffs for the EU-US bilateral trade and the determinants of the US imports and show that despite a de-creasing trend, the US continues to be an important trade partner for EU.
Abstract: About 2/3 of the EU trade is the intra-EU trade, but the extra-EU trade pro­vides additional demand for the European products and is a source of necessary supplies. It is especially important for some products and services. Despite a de­creasing trend, the US continues to be an important trade partner for the EU. But prospects for transatlantic integration turned into rise of protectionism, which wor­ries the EU politicians. In the paper we assess the fiscal and protectionist role of tariffs for the EU-US bilateral trade and the determinants of the US imports. JEL: F10, F13, F15, F68, F51.

5 citations

Proceedings ArticleDOI
23 Apr 2019
TL;DR: The potential of efficiently utilizing the stored energy of Battery Energy Storage Systems (BESSs) in order to face the increased load demand by the penetration of EVs in LV Distribution Networks (DNs), with the presence of PVs is examined.
Abstract: The penetration of Electric Vehicles (EVs) is rapidly increasing at the Low Voltage (LV) level, thus increasing the electrification rate of transport. Moreover, Photovoltaic (PV) systems at the LV level have been constantly increasing as well. Buildings with PVs on their roof and EVs as the main transport means may well become the norm the following years, considering additionally that all new buildings in the EU should be Nearly Zero Energy Buildings (NZEBs). Such NZEBs should cover the majority of their low energy demand by Renewable Energy Sources, and PV technology is the main candidate to achieve that. Both these facts pose considerable challenges on the LV networks. In this context, this paper examines the potential of efficiently utilizing the stored energy of Battery Energy Storage Systems (BESSs) in order to face the increased load demand by the penetration of EVs in LV Distribution Networks (DNs), with the presence of PVs. A Particle Swarm Optimization (PSO) algorithm is developed in order to perform optimal charging schedule for the EVs under the aim of optimizing the DN voltage profile. The analysis is performed on a real LV DN with real load data and the results indicate that under proper charging schedule both the voltage profile and the energy losses of the DN could be improved.

5 citations

Proceedings Article
01 Jan 2011
TL;DR: The acquired results indicate that the proposed modelling approach could be effectively used to predict the kerf geometry and the surface roughness in AWJM, thus supporting the decision making during process planning.
Abstract: This work presents a hybrid approach based on the Taguchi method and the Artificial Neural Networks (ANNs) for the modeling of surface quality characteristics in Abrasive Water Jet Machining (AWJM). The selected inputs of the ANN model are the thickness of steel sheet, the nozzle diameter, the stand-off distance and the traverse speed. The outputs of the ANN model are the surface quality characteristics, namely the kerf geometry and the surface roughness. The data used to train the ANN model was selected according to the Taguchi’s design of experiments. The acquired results indicate that the proposed modelling approach could be effectively used to predict the kerf geometry and the surface roughness in AWJM, thus supporting the decision making during process planning.

5 citations

Journal ArticleDOI
TL;DR: In this paper, Papanastasiou et al. extended the free boundary condition (FBC) to viscoelastic fluids governed by integral constitutive equations and applied it to the K-BKZ/PSM model with data corresponding to a benchmark polymer melt.
Abstract: The free (or open) boundary condition (FBC, OBC) was proposed by Papanastasiou et al. (A new outflow boundary condition, Int. J. Numer. Methods Fluids 14 (1992) 587–608) to handle truncated domains with synthetic boundaries where the outflow conditions are unknown. In the present work, implementation of the FBC has been extended to viscoelastic fluids governed by integral constitutive equations. As such we consider here the K-BKZ/PSM model, which also reduces to the upper-convected Maxwell fluid (UCM) for a single relaxation time and an appropriate choice of material parameters. The Finite Element Method (FEM) is used to provide numerical results in simple test cases, such as planar flow at an angle and Poiseuille flow in a tube where analytical solutions exist for checking purposes. Then previous numerical results obtained with the differential UCM model are checked in highly viscoelastic flows in a 4:1 contraction. Finally, the FBC is used with the K-BKZ/PSM model with data corresponding to a benchmark polymer melt (the IUPAC-LDPE melt). Particular emphasis is based on a non-zero second normal-stress difference, which has been reported in the literature to cause problems and seems responsible for earlier loss of convergence. The results with the FBC in short domains are in excellent agreement with those obtained from long domains used until now to accommodate the highly convective nature of the stresses in viscoelastic flows, for which the FBC seems most appropriate.

5 citations


Network Information
Related Institutions (5)
National Technical University of Athens
31.2K papers, 723.5K citations

77% related

Aristotle University of Thessaloniki
58.2K papers, 1.4M citations

76% related

Polytechnic University of Valencia
40.1K papers, 850.2K citations

75% related

University of Patras
31.2K papers, 677.1K citations

74% related

University of Aveiro
34.8K papers, 738.1K citations

74% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202013
201955
201876
201794
201656