Evaluation of thermoplastic composites for the manufacture of H-Darrieus wind Turbine blades on a laboratory scale

Wind energy is one of the most widely produced sources of renewable and clean electricity. However, the blades of wind turbines pose a significant environmental challenge due to the difficulty in recycling them. To address this issue, research is focused on finding a recyclable and easily manufacturable thermoplastic material. This study compares four thermoplastic materials fabricated using 3D printing: polylactic acid (PLA), PLA with carbon fiber reinforcements (PLA+C.F.), polyethylene terephthalate glycol (PETG), and PETG with carbon fiber reinforcements (PETG+C.F.). The material with the best properties will be used in the manufacturing of vertical wind turbine blades. Samples underwent tests for tensile strength, flexural strength, impact resistance, hardness, thermal aging, and UV exposure. The results demonstrated that PETG+C.F. is the most suitable material to produce wind turbine blades, as it exhibits excellent tensile and flexural strength, elasticity, thermal resistance, and improved hardness when exposed to ultraviolet radiation. It was found that PETG+C.F. made at 250°C has the best properties for the fabrication of wind turbine blades. The incorporation of carbon fibers within the PETG matrix significantly improves the tensile strength.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-06-11
DOI
https://doi.org/10.1016/j.jmrt.2025.06.073
Citations
5
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
3.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of thermoplastic composites for the manufacture of H-Darrieus wind Turbine blades on a laboratory scale

Edwin Chica, Henry A. Colorado, Andres F. Olivera
5 citations
Journal of Materials Research and Technology
Additive Manufacturing and 3D Printing Technologies
3.41
article

Evaluation of thermoplastic composites for the manufacture of H-Darrieus wind Turbine blades on a laboratory scale

Edwin Chica, Henry A. Colorado, Andres F. Olivera
article en
5 citations

Abstract

Wind energy is one of the most widely produced sources of renewable and clean electricity. However, the blades of wind turbines pose a significant environmental challenge due to the difficulty in recycling them. To address this issue, research is focused on finding a recyclable and easily manufacturable thermoplastic material. This study compares four thermoplastic materials fabricated using 3D printing: polylactic acid (PLA), PLA with carbon fiber reinforcements (PLA+C.F.), polyethylene terephthalate glycol (PETG), and PETG with carbon fiber reinforcements (PETG+C.F.). The material with the best properties will be used in the manufacturing of vertical wind turbine blades. Samples underwent tests for tensile strength, flexural strength, impact resistance, hardness, thermal aging, and UV exposure. The results demonstrated that PETG+C.F. is the most suitable material to produce wind turbine blades, as it exhibits excellent tensile and flexural strength, elasticity, thermal resistance, and improved hardness when exposed to ultraviolet radiation. It was found that PETG+C.F. made at 250°C has the best properties for the fabrication of wind turbine blades. The incorporation of carbon fibers within the PETG matrix significantly improves the tensile strength.

Journal of Materials Research and TechnologyVol. 37
Universidad de Antioquia (CO), Universidad de Medellín (CO)
Affordable and clean energy
Openalex Percentile: Top 8%
Additive Manufacturing and 3D Printing Technologies
3.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.