Measurement of the anisotropic thermal conductivity of carbon-fiber/epoxy composites based on laser-induced temperature field: Experimental investigation and numerical analysis

Pawlak, S.; Tokarski, Mieszko; Ryfa, Arkadiusz; Orlande, Helcio R. B.; Adamczyk, Wojciech

doi:10.1016/j.icheatmasstransfer.2022.106401

Cited by 5 publications

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, from microstructural aspect and as the phase changes during the process in the melt pool (Ji et al , 2022) at different temperature, temperature history, cooling rate and melting temperature influence the microstructural properties. Various researches have been conducted in the field laser assisted manufacturing to evaluate the process parameters and their effects such as thermal conductivity (Pawlak et al , 2022), convective heat transfer (Zhang et al , 2018) and emission coefficient (Taylor et al , 2020) on the temperature history. Ansari et al (2022) predicted geometrical history, microstructural features and temperature history through physics-based modeling using various scanning strategies.…”

Section: Introductionmentioning

confidence: 99%

Modeling the effect of processing parameters on temperature history in Directed Energy Deposition: an analytical and finite element approach

Ghasempour-Mouziraji,

Afonso,

Hosseinzadeh

et al. 2023

RPJ

View full text Add to dashboard Cite

Purpose The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history. Design/methodology/approach Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation. Findings The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history. Originality/value The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.

show abstract