Rabail Tabassum¹, M. Kamran¹, Khalil Ur Rehman^2,*, Wasfi Shatanawi^2,3, Rashid Mehmood⁴

Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 577-599, 2025, DOI:10.32604/fhmt.2025.059466 - 25 April 2025

Abstract This study aims to elucidate the connection between the shape factor of GO (graphene oxide) nanoparticles and the behavior of blood-based non-aligned, 2-dimensional, incompressible nanofluid flow near stagnation point, under the influence of temperature-dependent viscosity. Appropriate similarity transformations are employed to transform the non-linear partial differential equations (PDEs) into ordinary differential equations (ODEs). The governing equations are subsequently resolved by utilizing the shooting method. The modified Maxwell model is used to estimate the thermal efficiency of the nanofluid affected by different nanoparticle shapes. The impact of various shapes of GO nanoparticles on the velocity and… More >

Wenna He, Yichen Yang, Dongqiong Liang, Heng Cheng^*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1415-1414, 2025, DOI:10.32604/cmc.2025.059839 - 26 March 2025

Abstract In this paper, we develop an advanced computational framework for the topology optimization of orthotropic materials using meshless methods. The approximation function is established based on the improved moving least squares (IMLS) method, which enhances the efficiency and stability of the numerical solution. The numerical solution formulas are derived using the improved element-free Galerkin (IEFG) method. We introduce the solid isotropic microstructures with penalization (SIMP) model to formulate a mathematical model for topology optimization, which effectively penalizes intermediate densities. The optimization problem is defined with the numerical solution formula and volume fraction as constraints. The… More >

Ruizhe Yu¹, Tingrui Yue³, Lei Liang^2,3,*, Zhisheng Gao^1,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5239-5256, 2025, DOI:10.32604/cmc.2025.059077 - 06 March 2025

Abstract In the PSP (Pressure-Sensitive Paint), image deblurring is essential due to factors such as prolonged camera exposure times and high model velocities, which can lead to significant image blurring. Conventional deblurring methods applied to PSP images often suffer from limited accuracy and require extensive computational resources. To address these issues, this study proposes a deep learning-based approach tailored for PSP image deblurring. Considering that PSP applications primarily involve the accurate pressure measurements of complex geometries, the images captured under such conditions exhibit distinctive non-uniform motion blur, presenting challenges for standard deep learning models utilizing convolutional… More >

Ao Shen¹, Zhiquan Lai^1,*, Dongsheng Li^1,*, Xiaoyu Hu²

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 307-325, 2025, DOI:10.32604/cmc.2024.057491 - 03 January 2025

Abstract Large-scale Language Models (LLMs) have achieved significant breakthroughs in Natural Language Processing (NLP), driven by the pre-training and fine-tuning paradigm. While this approach allows models to specialize in specific tasks with reduced training costs, the substantial memory requirements during fine-tuning present a barrier to broader deployment. Parameter-Efficient Fine-Tuning (PEFT) techniques, such as Low-Rank Adaptation (LoRA), and parameter quantization methods have emerged as solutions to address these challenges by optimizing memory usage and computational efficiency. Among these, QLoRA, which combines PEFT and quantization, has demonstrated notable success in reducing memory footprints during fine-tuning, prompting the development… More >

Yufeng Xing^*, Ye Yuan, Gen Li

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 329-355, 2025, DOI:10.32604/cmes.2024.056440 - 17 December 2024

Abstract The separation-of-variable (SOV) methods, such as the improved SOV method, the variational SOV method, and the extended SOV method, have been proposed by the present authors and coworkers to obtain the closed-form analytical solutions for free vibration and eigenbuckling of rectangular plates and circular cylindrical shells. By taking the free vibration of rectangular thin plates as an example, this work presents the theoretical framework of the SOV methods in an instructive way, and the bisection–based solution procedures for a group of nonlinear eigenvalue equations. Besides, the explicit equations of nodal lines of the SOV methods More >

Chengzhe Guo¹, Aihua Cheng^2,*, Jian Chen², Gaojie Cheng³

Psycho-Oncologie, Vol.18, No.4, pp. 291-303, 2024, DOI:10.32604/po.2024.054446 - 04 December 2024

Abstract The perception of nursing staff’s attitude influences patient fear. Understanding this dynamic is crucial for fostering a supportive environment conducive to patient well-being and effective healthcare practices. The purpose of this research is to investigate how the attitudes and behaviours of nursing staff influence the fear and anxiety levels of patients recovering from benign tumors, aiming to improve patient care and recovery outcomes. Data was collected from a sample of 100 participants, comprising 20 nursing staff and 80 patients recovering from benign tumors. Surveys were administered to gather quantitative data on attitudes and fear levels.… More >

Tianyu Chen¹, Yifan Wang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011272

Abstract Biological organisms often possess remarkable multifunctionality through intricate structures, such as the concurrent shape-morphing and stiffness-variation in octopus. Soft robots, which are inspired by natural creatures, usually require the integration of separate modules to achieve these various functions. As a result, the whole structure is cumbersome and the control system is complex, often involving multiple control loops to finish the required task. Here, inspired by the scaly creatures in nature such as pangolins and fish, we develop a robotic structure that can vary stiffness and change shape simultaneously in a highly-integrated compact body. The scale-inspired… More >

Yong Xu^1,2, Xuewei Zhang¹, Wenlong Xie^2,*, Shihong Zhang², Xinyue Huang³, Yaqiang Tian¹, Liansheng Chen¹

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2753-2768, 2024, DOI:10.32604/cmc.2024.055408 - 18 November 2024

Abstract The design of the loading path is one of the important research contents of the tube hydroforming process. Optimization of loading paths using optimization algorithms has received attention due to the inefficiency of only finite element optimization. In this paper, the hydroforming process of 5A02 aluminum alloy variable diameter tube was as the research object. Fuzzy control was used to optimize the loading path, and the fuzzy rule base was established based on FEM. The minimum wall thickness and wall thickness reduction rate were determined as input membership functions, and the axial feeds variable value… More >

Ziran Li¹, Weihao Zhang², Lei Qi^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.013344

Abstract In the future, the wide speed and altitude range aviation engine will have features such as "wide range of high-bypass-ratio adjustment" and "wide range of high-pressure-ratio adjustment". Therefore, its turbine will work in a very wide range of operating conditions, with a large flow regulation range. Under conditions of high-rate flow regulation, existing flow control technologies can significantly reduce turbine efficiency. To support the performance and technical specifications of future engines, their low-pressure turbines need to maintain high operational efficiency within a flow regulation range and power output range that exceed those of current aircraft engines.
… More >

Zeyu Deng¹, Yuan Liang^1,*, Gengdong Cheng¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012504

Abstract Compared to single-material optimization, topology optimization of multi-material structures offers a larger design space. It also requires efficient material selection methods to provide guidance for designers. The predominant methods are based on interpolation schemes, which introduce order-dependence issues during the optimization process. This means the sequence in which materials are arranged can significantly impact the optimization outcomes and may lead to notable issues with material gradation. This paper identifies the mathematical essence of multi-material topology optimization as a nonlinear multi-valued integer programming problem. In this paper, we propose a novel stochastic discrete steepest descent multi-valued More >