Sheng Guo^1,2,*, Mengmeng Yang¹, Yao Huang², Xizi Gao¹, Chao Cai^3,*, Kun Zhou^4,5,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012655

Abstract 3D printing technology has demonstrated considerable potential in wastewater remediation. Zero-valent metal (ZVM) has been recognized as an efficient catalyst facilitating the organic pollutant degradation in water. However, owing to its inclination toward oxidation and aggregation, the practical utilization of ZVM remains a challenge. Herein, we have employed 3D printing techniques to fabricate hierarchically porous ZVM, such as zero-valent copper and zero-valent iron, which exhibit a high level of printing precision and commendable resistance to compression. These 3D-ZVM catalysts can effectively activate peroxymonosulfate (PMS), thereby degrading various organic pollutants, including tetracycline, ciprofloxacin, rhodamine B, and… More >

Wushuai Liu¹, Wu Xu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012893

Abstract It is of great significance for improving the in-plane fracture toughness of 3D woven composite (3DWC) to study the failure mechanism of a single edge notch tension (SENT) test. It requires a relatively high computational cost to establish the SENT model based on conformal modeling method. A SENT is established using a proposed ternary model. The matrix cracking, yarn rupture, and debonding at the yarn/matrix interface are involved in the ternary model. Based on the developed SENT model, the progressive damage initiation and evolution of 3DWC SENT are predicted. The load-displacement curves and damage of More >

Shaowu Tang¹, Sicong Liu^1,*, Jian S Dai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011746

Abstract Origami, a traditional and elegant folding technique, provides a solution for the deformation of three-dimensional structures. Inspired by this, origami-based soft actuators and robots exhibit the advantages of portability, high efficiency, and programmability when performing functions such as locomotion, manipulation, and interaction. However, these deformable origami structures bring challenges to sensing methods and technologies, due to hyperelastic deformations of the soft materials. In this work, a sensing approach is proposed to enable origami robots with proprioceptive and interactive sensing capabilities. The 3D-printed Miura-ori chambers of the robot are embedded with infrared optical sensors (a light-emitting… More >

Xin Zhang^1,2, Xitao Zheng^1,2, Tiantian Yang³, Mingyu Song^1,2, Yuanyuan Tian⁴, Leilei Yan^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011277

Abstract Composite joints are widely used in machinery industries such as aviation, aerospace, and marine, where they transfer main loads as lightweight connectors. Recently, 3D printing with continuous fibers has relieved the required molds in composite manufacturing process and given flexibility to the design of robust composite joints. However, how the curved paths and variable hatch spaces affect the mechanical properties and failure modes of 3D-printed single-bolt composite joints with continuous fibers remains undisclosed. In this study, 3D printing has been introduced to fabricate three types of continuous fiber-reinforced single-bolt composite joints with different paths, including… More >

Ruiqi Pan¹, Wei Xiong², Liang Hao^1,*, Yan Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011651

Abstract As metal additive manufacturing (MAM) becomes more widely used in engineering, an increasing number of novel lattice structures are being developed. However, most recently developed lattice structures do not match the requirement of MAM efficiently. Based on the Design for Additive Manufacturing (DfAM), comparing the mainstream implicit and explicit modelling methods, it is proposed to introduce a Subdivisional (Sub-D) modelling method to model lattice structures with better modelling versatility, 3D printability, and mechanical properties. To this end, a novel negative Poisson's ratio (NPR) structure is developed as an example to demonstrate the efficient and wide… More >

Muhammad Akbar^1,2, Huali Pan^1,*, Jiangcheng Huang³, Bilal Ahmed⁴, Guoqiang Ou¹

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2625-2625, 2024, DOI:10.32604/cmes.2024.059706 - 31 October 2024

Abstract This article has no abstract. More >

Mohammed A. Mahdi¹, Shahanawaj Ahamad², Sawsan A. Saad³, Alaa Dafhalla³, Alawi Alqushaibi⁴, Rizwan Qureshi^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2351-2373, 2024, DOI:10.32604/cmes.2024.055723 - 31 October 2024

Abstract The segmentation of head and neck (H&N) tumors in dual Positron Emission Tomography/Computed Tomography (PET/CT) imaging is a critical task in medical imaging, providing essential information for diagnosis, treatment planning, and outcome prediction. Motivated by the need for more accurate and robust segmentation methods, this study addresses key research gaps in the application of deep learning techniques to multimodal medical images. Specifically, it investigates the limitations of existing 2D and 3D models in capturing complex tumor structures and proposes an innovative 2.5D UNet Transformer model as a solution. The primary research questions guiding this study… More >

Mumtaz Khan^1,*, Muhammad Shoaib Anwar², Mudassar Imran³, Amer Rasheed⁴

Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1399-1419, 2024, DOI:10.32604/fhmt.2024.056597 - 30 October 2024

Abstract This study employs the Buongiorno model to explore nanoparticle migration in a mixed convection second-grade fluid over a slendering (variable thickness) stretching sheet. The convective boundary conditions are applied to the surface. In addition, the analysis has been carried out in the presence of Joule heating, slips effects, thermal radiation, heat generation and magnetohydrodynamic. This study aimed to understand the complex dynamics of these nanofluids under various external influences. The governing model has been developed using the flow assumptions such as boundary layer approximations in terms of partial differential equations. Governing partial differential equations are… More >

Yanpu Chao^1,*, Fulai Cao¹, Hao Yi^2,3,*, Shuai Lu¹, Yaohui Li¹, Hui Cen¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2489-2508, 2024, DOI:10.32604/fdmp.2024.051962 - 28 October 2024

Abstract The so-called fourth-generation biodegradable vascular stent has become a research hotspot in the field of bio-engineering because of its good degradation ability and drug-loading characteristics. However, the preparation of polymer-degraded vascular stents is affected by known problem such as poor process flexibility, low forming accuracy, large diameter wall thickness, limited complex pore structure, weak mechanical properties of radial support and high process cost. In this study, a deposition technique based on a high-voltage electric-field-driven continuous rotating jet is proposed to fabricate fully degraded polymer vascular stents. The experimental results show that, due to the rotation… More > Graphic Abstract

Bolin Guo^1,2, Shi Qiu^1,*, Pengchang Zhang¹, Xingjia Tang³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1809-1833, 2024, DOI:10.32604/cmc.2024.056706 - 15 October 2024

Abstract Mural paintings hold significant historical information and possess substantial artistic and cultural value. However, murals are inevitably damaged by natural environmental factors such as wind and sunlight, as well as by human activities. For this reason, the study of damaged areas is crucial for mural restoration. These damaged regions differ significantly from undamaged areas and can be considered abnormal targets. Traditional manual visual processing lacks strong characterization capabilities and is prone to omissions and false detections. Hyperspectral imaging can reflect the material properties more effectively than visual characterization methods. Thus, this study employs hyperspectral imaging… More >