Xudong Yu^1,*, Hai Shen¹, Jingyuan Lu¹, Shangqin Yuan², Ming Huang³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011546

Abstract The continuous advancement of Additive Manufacturing (AM) technologies has revolutionized the production of intricate components and reinforced composites with tailored mechanical properties. However, the variability in AM techniques and processing parameters often leads to discrepancies in fibre volume fraction, porosity, and interfaces in AM composites, resulting in dispersed elastic moduli and mechanical responses, which necessitates robustness non-destructive evaluation (NDE) methods. Additionally, AM introduces new defect morphologies, dimensions, and locations, demanding new and more reliable non-destructive testing (NDT) techniques.
This research commences by quantifying orientation-dependent mechanical properties of laser-sintered nanocomposites of carbon nanotube (CNT) reinforced polyamine (PA).… More >

Jinlong Su^1,2, Chaolin Tan^2,*, Swee Leong Sing^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012733

Abstract Tailoring thermal history during additive manufacturing (AM) offers a viable approach to customising the microstructure and properties of materials without changing alloy compositions, which is generally overlooked as it is hard to achieve in commercial materials. In this work, a customised Fe-Ni-Ti-Al maraging steel with rapid precipitation kinetics offers the opportunity to leverage thermal history during AM for achieving large-range tunable strength-ductility combinations without post heat treatment or changing alloy chemistry. The Fe-Ni-Ti-Al maraging steel was processed by laser-directed energy deposition (LDED) with different deposition strategies to tailor the thermal history. As the phase transformation… More >

Junfei Tai¹, Zheng Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011059

Abstract The non-destructive characterization of material microstructures presents a significant and enduring challenge in the field. The sensitivity of elastic waves to the nuances of microstructural parameters positions ultrasound as a viable and potent method for non-destructive evaluation. However, enhancing the interaction between elastic waves and the internal microstructure typically involves utilizing wavelengths larger than the microstructural features, thereby rendering ultrasonic scattering as the predominant mechanism. This interaction is complicated by the fact that fundamental microstructural characteristics, such as grain size, morphology, and texture intensity, exert considerable and intertwined effects on ultrasonic scattering, complicating their separate… More >

Lijun Xiao^1,*, Weidong Song¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010981

Abstract Additively-manufactured microlattice materials have attracted much attention due to their outstanding mechanical properties and energy absorption capacity. Considering the high cost of 3D printing, numerical simulation has become the most common approach for predicting and optimizing the mechanical performance of micro-lattice materials. The current study provides an efficient method to incorporate the printing process induced geometric defects in the lattice models. Numerical simulations are performed to precisely predict the mechanical response of the printed microlattice materials under quasi-static and dynamic loadings. Furthermore, the microlattice structures are graphically represented based on their mesoscopic structural characteristics. Accordingly, More >