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Eng, Volume 2, Issue 3

September 2021 - 9 articles

Cover Story: This study proposes and compares three optimization algorithms in combination with a feedforward neural network for fatigue life prediction of wind turbine blades. The optimized prediction models were trained using the SNL/MSU database. The final model could be used afterward as an alternative to the costly laboratory tests, as well as to validate new experimental results. View this paper
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Articles (9)

  • Review
  • Open Access
7 Citations
6,593 Views
30 Pages

17 September 2021

Solid oxide fuel cells (SOFCs) are considered as one of the most promising fuel cell types for application as high efficiency power generators. This work reviews the use of computational fluid dynamics (CFD) to maximise SOFC performance and life, and...

  • Article
  • Open Access
3 Citations
4,007 Views
15 Pages

15 September 2021

The surface roughening (Ra), martensitic phase transformation (MPT), and grain misorientation (GMO) behavior of stainless steel 304 and 316 in various grain sizes (Dg) were studied experimentally, including five cycles of sequential uniaxial tensile...

  • Article
  • Open Access
6 Citations
5,411 Views
17 Pages

Ultrasonic Effects on Foam Formation of Fruit Juices during Bottling

  • Julian Thünnesen,
  • Bernhard Gatternig and
  • Antonio Delgado

14 September 2021

Non-carbonated fruit juices often tend to foam over during bottling. The resulting foam height corresponds to the equilibrium of foam formation and decay. Therefore, the foam unexpectedly occupies more space in the bottle and carries parts of the jui...

  • Article
  • Open Access
4 Citations
4,148 Views
16 Pages

Multi-Point Shape Optimization of a Horizontal Axis Tidal Stream Turbine

  • Hassan el Sheshtawy,
  • Ould el Moctar and
  • Satish Natarajan

30 August 2021

A method was developed to perform shape optimization of a tidal stream turbine hydrofoil using a multi-objective genetic algorithm. A bezier curve parameterized the reference hydrofoil profile NACA 63815. Shape optimization of this hydrofoil maximize...

  • Review
  • Open Access
9 Citations
8,727 Views
15 Pages

27 July 2021

Vortex shedding phenomenon behind bluff bodies and its destructive unsteady wake can be controlled by employing active and passive flow control methods. In this quest, researchers employed experimental fluid dynamics (EFD), computational fluid dynami...

  • Article
  • Open Access
11 Citations
4,779 Views
13 Pages

Adsorption of Estradiol by Natural Clays and Daphnia magna as Biological Filter in an Aqueous Mixture with Emerging Contaminants

  • Andrés Pérez-González,
  • Verónica Pinos-Vélez,
  • Isabel Cipriani-Avila,
  • Mariana Capparelli,
  • Eliza Jara-Negrete,
  • Andrés Alvarado,
  • Juan Fernando Cisneros and
  • Piercosimo Tripaldi

26 July 2021

Among emerging pollutants, endocrine disruptors such as estradiol are of most concern. Conventional water treatment technologies are not capable of removing this compound from water. This study aims to assess a method that combines physicochemical an...

  • Article
  • Open Access
24 Citations
27,500 Views
16 Pages

23 July 2021

This paper aims to analyze national policies of Pakistan taking into account the complexity of electric power generation, growth, and complying with multilateral agreements. Systems thinking has been applied to understand the complexity of energy sce...

  • Article
  • Open Access
18 Citations
4,951 Views
18 Pages

5 July 2021

Moisture and temperature are the most important environmental factors that affect the degradation of wind turbine blades, and their influence must be considered in the design process. They will first affect the resin matrix and then, possibly, the in...

  • Article
  • Open Access
7 Citations
4,362 Views
11 Pages

30 June 2021

Waste generation is one of the multiple factors affecting the environment and human health that increases directly with growing population and social and economic development. Nowadays, municipal solid waste disposal sites and their management create...

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Eng - ISSN 2673-4117