Search results

The purpose of this study is analysis of deformation and vibrations of turbine blades produced by high electrolyte pressure during electrochemical machining.

An experimental setup was designed, experiments were conducted and the obtained results were compared with the finite element results. The deformations were measured according to various flow rates of electrolyte. In finite element calculations, the pressure distribution created by the electrolyte on the blade surface was obtained in the ANSYS® (A finite element analysis software) Fluent software and transferred to the static structural where the deformation analysis was carried out. Three different parameters were examined, namely blade thickness, blade material and electrolyte pressure on blade disk caused by mass flow rate. The deformation results were compared with the gap distances between cathode and anode.

Large deformations were obtained at the free end of the blade and the most curved part of it. The appropriate pressure values for the electrolyte to be used in the production of blisk blades were proposed numerically. It has been determined that high pressure applications are not suitable for gap distance lower than 0.5 mm.

When the literature is examined, it is required that the high speed flow of the electrolyte is desired in order to remove the parts that are separated from the anode from the machining area during electrochemical machining. However, the electrolyte flowing at high speeds causes high pressure in the blisk blades, excessive deformation and vibration of the machined part, and as a result, contact of the anode with the cathode. This study provides important findings for smooth electro chemical machining at high electrolyte flows.

This paper aims to investigate the effect of straight phenolic resin content on the fade behavior, frictions and wear characteristics of pre-determined brake pad composite matrix having specific amount of barite (BaSO₄), rock wool, Kevlar, graphite and magnetite.

Different amount of resin ranging between 16 and 20 wt. per cent were added by changing only the filler (barite) content of composite matrix. Subsequently, friction and wear behavior of the composite samples were analyzed using a special pin-on-disc type test system developed for brake pad sample. The worn surfaces were investigated by SEM and three-dimensional (3D) surface profilometer.

The average coefficient of friction (CoF) of composite samples and temperature of the disc surface showed a linear increase with decreasing the resin content. The sample having 20 wt. per cent resin showed the minimum wear rate with smooth worn surface. But the amount of fade is quite high in that sample. Decreasing resin content decreased the fade formation, and the composite with 16 per cent resin brought about the minimum fade formation. As the fade formation is unwanted in brake pad applications, the composite with 16 wt. per cent resin was proposed as the most appropriate one considering the performance parameters related to friction and wear.

This paper optimizes the resin content of composite brake pad materials to achieve the best combination of its tribo-performance and mechanical properties and provides valuable information for scientists and engineers working in that area.

The relationship between overqualified labor and productivity is questioned in this study. By overqualified labor, it is meant that the labor has more capabilities (education) than the qualifications required by the task. In some cases, like this case, the qualifications of the employees and the qualifications required by the job may not match, and their reflection on productivity may be positive or negative. In the studies conducted in developing countries, such as this study, which reveal the negative relationship of overqualified and low-skilled employees with productivity, unlike the situation in developed countries, has been tried to be explained in this research based on relative deprivation and person–work cohesion. Literature review method is used within the frames of given theories.

Research carried out within the scope of the present new emerging optimum market to Greek regional airlines. This study (based on interconnected flight network) aims to provide an optimal alternative for flights to be carried out by small Greek airlines to Eskisehir Airport in Turkey. The airlines seek to sustainable demand base to improve themselves in a profitable way.

In this study, the analytical network process method was used. In the construction of network models, specific criteria have been considered, and the analysis has been accomplished as multi-criteria decision-making problem because of the relationship and interaction between them. A number of professionals with high knowledge of the Greek and Turkish aviation market were participated in the study.

Both Greek and Turkish experts think that the scenarios should include more airports (multi leg flights) to benefit from the increased traffic from all these destinations. Although, the model showed that more sustainable and effective routes are the simplest ones (single leg flights). Thus, the experts suggested the following five routes: Athens (ATH)-Antalya (AYT)-Eskisehir (AOE)-ATH; Heraklion (HER)-AOE-ATH; ATH-Istanbul (IST)-AOE-Thessaloniki (SKG); ATH-AOE-Cologne (CGN)-ATH and ATH-AOE-Izmir (ADB)-CGN-ATH. In addition, the experts pointed out the routes Eskisehir (AOE)-Brussel (BRU) and AOE-Cologne (CGN), as the passenger demand for them is high. These are considerable suggestions and should be examined by airlines’ managers, while aviation authorities should take these under consideration.

There are some factors that limit the potential extension of the small Greek regional airlines to Eskisehir airport. Istanbul’s Atatürk International Airport is the most used airport for international connected flight in Turkey, and the most airlines prefer this as a destination airport, although it has slots limitations and intense traffic. According to a previous project, sustainable flight network may include Istanbul and Izmir. Also, the bilateral agreement between Greece and Turkey according to Memorandum of Understanding between the Aeronautical Authorities of the Republic of Turkey and Hellenic Republic consists the main limitation of the traffic increase.

Connected flight network model suggestions developed in this research may provide contribution to airlines’ research and development activities. Also this kind of studies may contribute to the increase of the passengers’ traffic between the two countries with mutual benefits.

Based on the current study, with determined the grid network flights, new flights can be scheduled that are offering significant benefits. Also passengers will have the ability to travel to an attractive destination. In particular, the study may positively contribute to the further development of AOE and to the region around the city. On the other side, the Greek regional airlines can find an important market. Anadolu University’s entrepreneurship ability will be improved and also AOE’s business will be increased. This study will enforce the stronger links between both Greek [Hellenic (Greek) Civil Aviation Authority] and Turkish (General Directorate of Civil Aviation) aviation authorities. In addition, this study may contribute to the improvement of the economic relations between Greece and Turkey with mutual benefits.

It is thought that this research shows Greek and Turkish airports feasibility to cooperate providing benefits to passengers, airlines and the countries’ economies. The study includes current social, economic and cultural dynamics of the countries making significant contribution to academic literature. The capacity and demand analysis is useful for the management of the specific Greek carriers. Expert opinions are consulted over the course of taking strategic decisions. The analysis has been conducted, based on expert opinions and referred to for these pairwise comparisons. Airlines and airport managers based on the suggested methodology may examine potential flights, although more numerical data are necessary.

There have been increasing numbers of studies on the role of energy and environmental pollution upon income of the economies across the countries after the development of the endogenous growth literature. As standard practice, the factors which make explanations of why the developed countries are growing more compared to the common list of developing countries are the knowledge capital, role of institutions, etc. But, the roles of energy use and environmental resources upon economic growth have also been identified as additional source of endogenous growth. Sometimes, in certain economies, it is observed that both the factors maintain bidirectional causal relations with the level and growth of income. The present chapter aims to investigate whether energy use and environmental pollution make a cause to the level of income measured by gross domestic product, in both the long run and short run, for the world's highly developing group of economies in the nomenclature of BRICS. The period of study is taken to be 1990–2016 for which the data on all the indicators are available for the five member countries of the group. Using a VAR model, the study arrives at the conclusion that all the three are cointegrated for Brazil and Russia only. Further, there are short-run causal interplays among the three in different combinations across the member countries. While GDP and energy use are the common cause of CO2 emission for Brazil, India, and China; energy use and CO2 emissions are to GDP in India, South Africa, and China.

The primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.

This study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.

The research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.

Major contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.

Green destinations are places that are important for the sustainable realization of tourism. In addition to the design of these destinations, the management also emerges as an issue that needs to be emphasized. As a matter of fact, stakeholders and their relations with each other and other issues are an important element in the management of green destinations. In this context, in the study, issues such as management of green destinations, stakeholders, relations between stakeholders, education and green destination management in Türkiye are discussed. Finally, some suggestions have been presented within the framework of the topics discussed.

The purpose of this paper is to assess the perceived level of Jordanian nurses’ competencies in offering care to the community during a disaster.

A correlational descriptive design was used to assess nurses’ competencies in offering care for the community during a disaster.

A total of 370 nurses (55 % males) aged 25−55 agreed to participate. The mean score of competencies of nurses who offer care to the community during the disaster was 2.11 (SD = 0.59) points. The results of correlation coefficient tests revealed a significant positive correlation between stated competencies level and nurses’ sex, receiving disaster education and training with rpb (371) = 0.13, p < 0.01; rpb (598) = 0.15, p = 0.004; rpb (598) = 0.21, p < 0.001, respectively. Furthermore, the “care of communities” subscale had a weak positive correlation with the.

Nurses play a critical role in disaster response. However, there was a gap in nurses’ competencies for disaster, which shows there is a crucial need to include disaster management courses in the nursing curriculum and update disaster management courses in hospitals based on nurses’ needs to improve their competencies during disasters.

The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

The purpose of the study is to examine the electricity generation potential of different renewable energy sources in Morocco, as well as to propose a novel decision support model to prioritize renewable energy alternatives. The aim is to provide recommendations that support Morocco’s energy transition strategy and assist policymakers in devising future sustainable energy policies.

The paper integrates the analytic hierarchy process with expert feedback to prioritize five renewable energy alternatives – solar photovoltaics (PV), concentrated solar panels (CSP), wind, hydro and biomass – specific to the Moroccan context. The model uses 14 sub-criteria clustered into four main categories: economic, technological, socio-political and environmental. The criteria were weighted based on inputs from local energy sector experts to capture the distinct priorities and contextual specificities of Morocco’s renewable energy landscape.

The study’s findings emphasize the dominance of economic criteria among Moroccan experts. Solar PV emerged as the most suitable option due to its cost-effectiveness and alignment with Morocco’s policies to support solar energy, followed by hydropower and wind. CSP and biomass ranked lowest due to high costs and limited viability.

This study highlighted the need for quality data to support informed decision-making, as well as for a centralized database to facilitate access to consistent information on renewable energy projects.

It is recommended that policymakers prioritize mature and cost-effective technologies by establishing supportive regulatory frameworks and expanding investments in hybrid renewable energy infrastructures.

In addition to introducing the Analytic Hierarchy Process model for the first time within the Moroccan context, to the best of the authors’ knowledge, this research draws recommendations to assist Moroccan policymakers in devising future sustainable policies for the energy sector.