Markapudi Bhanu Prasad¹, Borhen Louhichi², Santosh Kumar Sahu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 483-519, 2025, DOI:10.32604/cmes.2025.069395 - 30 October 2025

Abstract This study investigates the mechanical behavior of polyurethane (PU) nanocomposites reinforced with nanodiamonds (NDs) and proposes an integrated optimization–prediction framework that combines the Taguchi method with machine learning (ML). The Taguchi design of experiments (DOE), based on an L9 orthogonal array, was applied to investigate the influence of composite type (pure PU, 0.1 wt.% ND, 0.5 wt.% ND), temperature (145°C–165°C), screw speed (50–70 rpm), and pressure (40–60 bar). The mechanical tests included tensile, hardness, and modulus measurements, performed under varying process parameters. Results showed that the addition of 0.5 wt.% ND substantially improved PU performance,… More >

Nguyen Dong Phuong¹, Nanthakumar Srivilliputtur Subbiah¹, Yabin Jin², Xiaoying Zhuang^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 263-303, 2025, DOI:10.32604/cmes.2025.067100 - 30 October 2025

Abstract Traditional inverse neural network (INN) approaches for inverse design typically require auxiliary feedforward networks, leading to increased computational complexity and architectural dependencies. This study introduces a standalone INN methodology that eliminates the need for feedforward networks while maintaining high reconstruction accuracy. The approach integrates Principal Component Analysis (PCA) and Partial Least Squares (PLS) for optimized feature space learning, enabling the standalone INN to effectively capture bidirectional mappings between geometric parameters and mechanical properties. Validation using established numerical datasets demonstrates that the standalone INN architecture achieves reconstruction accuracy equal or better than traditional tandem approaches while More >

Nan Yang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011055

Abstract Integrating mechanical computing capabilities into robotic materials or systems enhances their intelligence in stimulus-response processes. However, current mechanical computing systems face limitations such as incomplete functionality, inflexible computational rules, challenges in implementing sequential and random logic operations, and lack of reusability. To address these issues, we propose a straightforward design method based on logical expressions to achieve more complex computational tasks. We developed soft B-shaped mechanical metamaterial units and introduced stress inputs through compression. The outputs are represented by light-shielding effects caused by unit deformation. Using this approach, we successfully implemented logic gates and their… More >

Xiaoai Yi, Jia Li^*, Qihong Fang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.010725

Abstract The complex concentration alloys are considered to have excellent mechanical properties due to the combined effects of heterogeneous composition and microstructure. However, it is difficult for existing simulation methods to capture the significant modulation of mechanical properties by the formation and motion of grain boundaries of complex concentration alloys at the microsecond and nanometer scales. To address this, we utilize the phase field crystal model that combines molecular dynamics and traditional phase field advantages to systematically study real-time grain boundary formation and motion in complex concentration alloys [1]. Meanwhile, we investigated the compositional fluctuations of More >

ZiQi Zhao, MingYang Xu, ChaoYang Sun, PeiPei Li^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012382

Abstract Hot isostatic pressing (HIP) is often utilized to obtain laser powder bed fused (LPBF) Ti-6Al-4V with good mechanical properties. To uncover the underlying mechanisms by which HIP improves the mechanical properties, several mechanisms are considered and examined against experimental data sets available in the literature. The results suggest that HIP improves mechanical properties by both reducing defect sizes below a critical threshold and altering the microstructure surrounding defects. Based on these findings, a pore healing model was developed, and optimized HIP processing parameter range (temperature, pressure, and soaking time) were proposed. Severe plastic deformation driven… More >

Lizhi Guan^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012356

Abstract Complex hierarchical structure in nature with remarkable performances of such as lightweight, high stiffness and strength, and so on, has inspired researchers designing and fabricating aligned structures for reinforced composites. Conventional techniques like freeze-casting, self-assembly, wet-spinning, shear force, electric, and magnetic field have been demonstrated to achieve excellent reinforced structures. Still, they are limited to microstructure control and small-sized samples. While 3D printing techniques enable to achieve a large diversity of dimensions, multimaterial and multifunctional 3D structures. Particularly, recent 3D printing combined with external force e.g., shear force, magnetic and electrical field has been employed… More >

Yifei Wang, Zhao Zhang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011121

Abstract Additive manufacturing (AM) reveals high anisotropy in mechanical properties due to the thermal accumulation induced microstructures. How to reveal the internal connection between the microstructures and the mechanical properties in additive manufacturing is a challenge. There are many methods to predict the mechanical properties based on the microstructural evolutions in additive manufacturing [1–3]. Here we summarized the main methods for the prediction of the mechanical properties in additive manufacturing, including crystal plasticity finite element method (CPFEM), dislocation dynamics (DD), and molecular dynamics (MD). We systematically examine these primary approaches for mechanical property predictions in AM,… More >

Zhenyu Li¹, Hongze Li², Jinshui Yang², Hong Hu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010548

Abstract The urgent need to achieve "carbon neutrality" drives the development of innovative porous structures that integrate both acoustic and mechanical properties, aimed at reducing energy consumption. However, enhancing these functionalities often results in increased structural weight, which can restrict their application in scenarios where weight is a critical factor. In response to this challenge, we present a groundbreaking structural design that combines carbon fiber reinforced polymer (CFRP) composites with mechanical and acoustic metamaterials for the first time. This novel construction is characterized by its lightweight nature while delivering exceptional mechanical strength and acoustic performance.
The experimental… More >

Liwen Guan¹, Xiaoteng Wang^2,*, Tang Biao²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-4, 2025, DOI:10.32604/icces.2025.012534

Abstract By using the continuous cyclic loading-unloading tensile test method, the nonlinear variation behavior of the chord modulus of mild steel under different temperature conditions was systematically investigated, and the corresponding relationship between plastic strain and chord modulus during the cyclic loading-unloading process was clarified. Through the analysis of test data, the variation trends and quantitative corresponding models of plastic strain and chord modulus at different temperatures were established. The research results show that under constant temperature conditions, as the plastic strain increases to 10%, the chord modulus attenuation process presents a significant two-stage characteristic -… More >

Shifa Fan^1,*, Yuanwen Gao^2,3, Zhiqiang Li¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-2, 2025, DOI:10.32604/icces.2025.010668

Abstract In recent years, wearable technology has burst onto the scene as a game-changer, completely transforming multiple facets of our daily lives—from keeping tabs on our health to facilitating communication for staying connected. It has found its way into diverse fields such as healthcare, education, the military, engineering, and sports. However, a major challenge hindering the popularization of wearable devices is the need for a reliable power source. Conventional batteries, though widely used, have limitations, including the need for frequent recharging or replacement, which hinder the seamless integration of wearable technology into everyday life [1]. To… More >