Hui Liu¹, Xu Song^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011362

Abstract Because of its higher specific strength and better biocompatibility, commercially pure titanium (CP Ti) is widely used for product fabrication in the aerospace, medical, and other industries. Currently, different ways are adopted to strengthen CP Ti, such as solid-solution strengthening using oxygen or adding metal components to form alloys; however, the introduction of oxygen, other gases, or alloying elements reduces the corrosion resistance and biocompatibility. Herein, CP Ti with a low oxygen content was used to fabricate samples via a high-precision laser powder bed fusion process. Smaller laser beam diameter and thinner layer thickness lead More >

Zongxin Hu^1,*, Junhao Ding¹, Qingping Ma¹, Xu Song¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011288

Abstract Hierarchically designed metamaterials can be found in numerous fields such as hard biomaterials and man-made structures. Recently, additively manufactured metamaterials are very promising in meeting the increasing demands for materials providing nearly isotropic yield strength in lightweight engineering as the controlled micro-structures. In this paper, a novel hierarchically shell-plate lattice structures are introduced by placing the plates along the closed shell-based structures. With fixed relative density of 10% for hierarchical metamaterials, the effects of different cell sizes and shell thicknesses of shell lattice structures on isotropy are studied. Based on theoretical analysis, the design map… More >

Hongxia Wang^1,2, Zhiqiang Duan², Qingwei Guo², Yongmei Zhang^1,2,*, Yuhong Zhao^2,3,4,*

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1393-1409, 2023, DOI:10.32604/cmc.2023.045871 - 29 November 2023

Abstract Due to the large unexplored compositional space, long development cycle, and high cost of traditional trial-anderror experiments, designing high strength aluminum-lithium alloys is a great challenge. This work establishes a performance-oriented machine learning design strategy for aluminum-lithium alloys to simplify and shorten the development cycle. The calculation results indicate that radial basis function (RBF) neural networks exhibit better predictive ability than back propagation (BP) neural networks. The RBF neural network predicted tensile and yield strengths with determination coefficients of 0.90 and 0.96, root mean square errors of 30.68 and 25.30, and mean absolute errors of More >

Fuyao Yan^{1, #}, Yu hin Chan^2,#, Abhinav Saboo³ , Jiten Shah⁴, Gregory B. Olson^{1, 3}, Wei Chen^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 343-366, 2018, DOI:10.31614/cmes.2018.04452

Abstract Predicting the mechanical properties of additively manufactured parts is often a tedious process, requiring the integration of multiple stand-alone and expensive simulations. Furthermore, as properties are highly location-dependent due to repeated heating and cooling cycles, the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification, compounding the computational expense. This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels, a type of machine learning model for statistical inference with limited data. The metamodels can predict the varying properties… More >

Asif Husain¹, M. Guniganti², D. K. Sehgal², R. K. Pandey²

CMC-Computers, Materials & Continua, Vol.8, No.3, pp. 133-150, 2008, DOI:10.3970/cmc.2008.008.133

Abstract This paper describes an approach to identify the mechanical properties i.e. fracture and yield strength of steels. The study involves the FE simulation of shear punch test for various miniature specimens thickness ranging from 0.20mm to 0.80mm for four different steels using ABAQUS code. The experimental method of the miniature shear punch test is used to determine the material response under quasi-static loading. The load vs. displacement curves obtained from the FE simulation miniature disk specimens are compared with the experimental data obtained and found in good agreement. The resulting data from the load vs.… More >