Effect of Mat Fiber Lay-up and Resin Transfer Molding Process on Flexural and Tensile Properties of Luffa Mat Reinforced Composites

Grabi, Massinissa; Chellil, A.; Grabi, Hocine

doi:10.1080/15440478.2022.2134258

Cited by 6 publications

(6 citation statements)

References 37 publications

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“…In addition, the analysis made use of an agglomerative clustering-Ward's method-which employs the analysis of variance approach in its procedures [57]. It seeks to minimize the sums of the squared deviations in any pair of clusters which may be formed at any test stag and is one of the most effective clustering methods.…”

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confidence: 99%

An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation

Chudy-Laskowska

Pisula

2022

Energies

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Over the past few years, considerable emphasis has been put on decarbonization, which, in the context of the recent events in Europe, proves that mixing energy sources is the best strategy. This article discusses ways in which individual EU member states manage their energy source diversification, while comparing their levels of fossil fuels and renewable energy sources (RESs) usage. The research data was acquired from the Eurostat website and comprises of 15 indicators describing the use of energy both from conventional and renewable sources in the European Union, in 2019. The study employs taxonomical methods, such as ranking and cluster analysis. The authors put forward a hypothesis that EU member states approach the use of energy resources in several ways. There are countries which take advantage of both traditional and renewable sources (Netherlands, Germany, Austria, and Italy). However, there is a group of states that relies on a single energy source and exclusively uses either traditional (Poland) or renewable energy resources (Sweden, Finland). The analyses enabled the isolation of country clusters with similar activities and energy strategies.

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confidence: 99%

An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation

Chudy-Laskowska

Pisula

2022

Energies

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“…Discriminant analysis was used to construct the statistical model for the analysis of the elemental content of the ashes. Discriminant analysis constitutes a multivariate statistical tool applied to determine the set of rules enabling allocation of multiattribute objects to subclasses with the smallest possible classification error [36,37].…”

Section: Methodsmentioning

confidence: 99%

The Application of Statistical Methods in the Construction of a Model for Identifying the Combustion of Waste in Heating Boilers Based on the Elemental Composition of Ashes

2022

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Emission of air pollutants constitutes one of the major hazards to human health and life. Particulate matter and harmful gases emitted by residential heating, especially, occupy a significant position among the sources of air pollution. This paper presents the research results concerning the composition of ashes obtained from the combustion of fuel samples composed of wood pellets, eco-pea coal, and coal pellets (trade name—VARMO) with various admixtures of waste materials. The study stand was equipped with a boiler having a nominal power of 18 kW. Several of the most characteristic chemical elements identified in the ash were used as the basis to classify the combustion of waste. A model based on a statistical method was designed. Within the framework of the research, a statistical multivariate technique, discriminant analysis, was applied. The statistical model was constructed for two groups of ash samples and 19 chemical elements indicating their contamination. The high prediction power of the model and the validation (fitting was 90.00% and 85.19%, respectively) confirmed the possibility of the practical application of this proprietary method. It permitted identification of the markers (chemical elements) in the ash. It confirms that the fuel is combusted with the admixture of waste materials in a given boiler. Based on the analyses performed, it was found that from among the 19 elements, five, namely K, Ti, Zn, Ca, and Rb, were selected as the markers because they are characterised by the highest discrimination ability. In addition, they are the best indicators of the contamination level of the ash samples that were examined.

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“…It is assumed that when a high value of the diagnostic variable for a given phenomenon is associated with beneficial growth, the feature is considered Larger-the-better (LTB), whereas in a situation where a low value of the variable is beneficial for the phenomenon in question, it is deemed Smaller-the-better (STB). The standardisation was carried out with the use of the following formulas [74]: LTB:…”

Section: Methodological Aspects Of Measuring the Innovative Developme...mentioning

confidence: 99%

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

Kogut-Jaworska

Ociepa-Kicińska

2020

Sustainability

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Regional Innovation and Smart Specialisation Strategies (RIS3) are treated as one of the key tools in implementing the concept of smart and sustainable growth. The strategies make it possible to focus investments on research, development and innovation (RD & I) in the areas showing the greatest economic and competitive potential of the regions. The article is based on the assumption that innovativeness on the one hand determines and on the other hand is determined by smart and sustainable growth. The aim of the analysis is to present new research assumptions and the results of the regional benchmarking based on a synthetic measure of development, and verification of the relationships between the level of innovative development and the economic development in the regions. This article presents the results of a research study covering all the sixteen regions of Poland, the outcome of which is an indicator of regional innovativeness based on 17 features, which means that the study considered a total of 2992 features. The methods applied in the study included the zero unitarisation method, the linear ordering method, and the Pearson correlation coefficient. The completed research study has shown the stability of positions held by the individual regions and the considerable, persisting disproportions in the innovation development between the regions taking the positions at both ends of the ranking. Moreover, a moderate positive correlation was identified between the GDP per capita level and the value of the synthetic measure of regional innovation development in 2009. The completed analyses made it possible to formulate the conclusions that show the benefits, weaknesses and dilemmas related to the introduction of smart specialisations for sustainable and innovative regional development in Poland over the past decade.

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Effect of Mat Fiber Lay-up and Resin Transfer Molding Process on Flexural and Tensile Properties of Luffa Mat Reinforced Composites

Cited by 6 publications

References 37 publications

An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation

An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation

The Application of Statistical Methods in the Construction of a Model for Identifying the Combustion of Waste in Heating Boilers Based on the Elemental Composition of Ashes

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

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