Comparison of analytical and finite element solutions for monitoring the self‐generated temperature in the fatigue test of novel continuous glass fiber‐reinforced Elium thermoplastic composites DOI Creative Commons
Mete Kayihan, Mustafa Bakkal

Polymer Composites, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract There is an increasing trend toward thermoplastic matrix composites in the automotive industry, and most significant damage type owing to fatigue. A set of fatigue tests takes days, especially under low load/stress conditions. However, this can be shortened by predicting life with accurate analytical solutions. The scope study includes comparing model conventional method, determining its advantages weaknesses, a comparison experimental result, demonstration self‐generated temperature mechanism finite element performing validation tests. Hysteresis curves were prepared using these changes data recorded during experiment. change on surface has been compared calculations method. At same time, computer‐aided determination results obtained observation distribution increase material's method have discussed. According results, difference between measurements made thermal camera at 5.41%. IRT 9.62%. Additionally, prediction samples 0/90 orientation more than that 0/90/45 sample.

Язык: Английский

Advancing CFRP Durability: Interfacial and Weathering Performance of Epoxy and Acrylic Matrices DOI

Jeongcheol Kim,

Sukwon Kang,

Il Won Seong

и другие.

Composites Part B Engineering, Год журнала: 2025, Номер unknown, С. 112315 - 112315

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
Fatigue Behavior of Elium®-Based Thermoplastic Composites Fabricated by Liquid Composite Molding – A Review DOI Creative Commons

Shiqing Yan,

Yasmine Abdin

Composites Part B Engineering, Год журнала: 2025, Номер unknown, С. 112159 - 112159

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Free Vibration and Buckling Analysis of Functionally Graded Hybrid Reinforced Laminated Composite Plates Under Thermal Conditions DOI Open Access

Reeta Gulia,

Aman Garg,

Vaishali Sahu

и другие.

Journal of Composites Science, Год журнала: 2025, Номер 9(3), С. 94 - 94

Опубликована: Фев. 21, 2025

The present work aims to carry out free vibration and buckling analysis of functionally graded hybrid reinforced laminated composite plates under thermal conditions. Finite element-based solutions are presented within the framework recently proposed higher-order zigzag theory. Different variations concentration graphene platelets fibers plate across its thickness considered. First, polymer is assumed be using then with fibers. multiscale material properties obtained Halpin–Tsai micromechanical model. nature distribution widely governs behavior plates. number layers shape factors also affect

Язык: Английский

Процитировано

0
Comparison of analytical and finite element solutions for monitoring the self‐generated temperature in the fatigue test of novel continuous glass fiber‐reinforced Elium thermoplastic composites DOI Creative Commons
Mete Kayihan, Mustafa Bakkal

Polymer Composites, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract There is an increasing trend toward thermoplastic matrix composites in the automotive industry, and most significant damage type owing to fatigue. A set of fatigue tests takes days, especially under low load/stress conditions. However, this can be shortened by predicting life with accurate analytical solutions. The scope study includes comparing model conventional method, determining its advantages weaknesses, a comparison experimental result, demonstration self‐generated temperature mechanism finite element performing validation tests. Hysteresis curves were prepared using these changes data recorded during experiment. change on surface has been compared calculations method. At same time, computer‐aided determination results obtained observation distribution increase material's method have discussed. According results, difference between measurements made thermal camera at 5.41%. IRT 9.62%. Additionally, prediction samples 0/90 orientation more than that 0/90/45 sample.

Язык: Английский

Процитировано

0