Nuttida Chanhom¹, Tossapon Katongtung², Nakorn Tippayawong^2,*

Energy Engineering, Vol.121, No.12, pp. 3649-3665, 2024, DOI:10.32604/ee.2024.054862 - 22 November 2024

Abstract This study investigated the conversion of sugars into furan derivatives, specifically 2,5-dimethylfuran, through catalytic processes using bibliographic analysis. This method evaluates scientific outcomes and impact within a specific field by analyzing data such as publication trends, references, collaborative models, leading authors, and institutions. The study utilized data from the reliable Scopus database and conducted analysis using the visualization of similarity (VOS) viewer program to gain in-depth insights into the current state of research on this topic. The findings revealed that “5 hydroxymethyl furfural” was the most used keyword, followed by “biomass” and “catalysis.” The research More >

Chen Chen, Kai Qiao, Jie Yang, Jian Chen, Bin Yan^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2629-2642, 2024, DOI:10.32604/cmc.2024.056038 - 18 November 2024

Abstract Computed Tomography (CT) is a commonly used technology in Printed Circuit Boards (PCB) non-destructive testing, and element segmentation of CT images is a key subsequent step. With the development of deep learning, researchers began to exploit the “pre-training and fine-tuning” training process for multi-element segmentation, reducing the time spent on manual annotation. However, the existing element segmentation model only focuses on the overall accuracy at the pixel level, ignoring whether the element connectivity relationship can be correctly identified. To this end, this paper proposes a PCB CT image element segmentation model optimizing the semantic perception… More >

Hui Huang^1,*, Yongbing Li¹, Shuhui Li¹, Ninshu Ma²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011348

Abstract The sequentially coupled thermo-mechanical finite element analysis (FEA) with implicit iteration scheme is widely adopted for welding process simulation because the one-way coupling scheme is believed to be more efficient. However, such computational framework faces the bottleneck of scalability in large-scale analysis due to the exponential growth of computational burden with respect to the number of unknowns in a FEA model. In the present study, a fully coupled approach with explicit integration was developed to simulate fusion welding induced temperature, distortion, and residual stresses. A mass scaling and heat capacity inverse scaling technique was proposed More >

Leilei Wang¹, Li Chen², Haihang Cui², Xu Zheng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011434

Abstract The emerging technique of artificial micro/nano-motors [1] provides a vivid example of the idea using tiny machines to finish jobs in microscopic world. Among many micro/nano-motors, microbubble driven micromotor is a unique type that can reach the highest propulsion speed [2, 3], owing to the high surface energy of the bubble and the focused hydrodynamic jet during bubble collapse that can significantly enhance micromotor’s propulsion. Recent progress has demonstrated that the microbubble itself can implement new functions for the micromotor based on bubble dynamics and induced hydrodynamic flow, rather than merely providing energy. For instance,… More >

Yaren Aydın¹, Gebrail Bekdaş^1,*, Sinan Melih Nigdeli¹, Zong Woo Geem^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2471-2499, 2024, DOI:10.32604/cmes.2024.056693 - 31 October 2024

Abstract Dynamic impacts such as wind and earthquakes cause loss of life and economic damage. To ensure safety against these effects, various measures have been taken from past to present and solutions have been developed using different technologies. Tall buildings are more susceptible to vibrations such as wind and earthquakes. Therefore, vibration control has become an important issue in civil engineering. This study optimizes tuned mass damper inerter (TMDI) using far-fault ground motion records. This study derives the optimum parameters of TMDI using the Adaptive Harmony Search algorithm. Structure displacement and total acceleration against earthquake load More >

Danial Jahed Armaghani^1,*, Zida Liu², Hadi Khabbaz¹, Hadi Fattahi³, Diyuan Li², Mohammad Afrazi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2421-2451, 2024, DOI:10.32604/cmes.2024.052210 - 31 October 2024

Abstract Tunnel Boring Machines (TBMs) are vital for tunnel and underground construction due to their high safety and efficiency. Accurately predicting TBM operational parameters based on the surrounding environment is crucial for planning schedules and managing costs. This study investigates the effectiveness of tree-based machine learning models, including Random Forest, Extremely Randomized Trees, Adaptive Boosting Machine, Gradient Boosting Machine, Extreme Gradient Boosting Machine (XGBoost), Light Gradient Boosting Machine, and CatBoost, in predicting the Penetration Rate (PR) of TBMs by considering rock mass and material characteristics. These techniques are able to provide a good relationship between input(s)… More >

Marat Satayev^1,2,*, Abdugani Azimov², Arnold Brener², Nina Alekseyeva¹, Zulfia Shakiryanova²

Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1533-1558, 2024, DOI:10.32604/fhmt.2024.052901 - 30 October 2024

Abstract The goal of this work is, first of all, to construct a mathematical model of the mass transfer process in porous adsorption layers, taking into account the fact that in most cases the adsorption process is carried out in non-stationary technological modes, which requires a clear description of its various stages. The scientific contribution of the novel model is based on a probability approach allowing for deriving a differential equation that takes into account the diffusion migration of adsorbed particles. Solving this equation allows us to calculate the reduced degree of the adsorption surface coverage… More >

Can Kang^1,*, Shifeng Yan¹, Haixia Liu², Jie Chen², Kejin Ding³

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2431-2442, 2024, DOI:10.32604/fdmp.2024.055688 - 28 October 2024

Abstract The presented study aims to reveal the effect of liquid temperature on cavitation-induced erosion of an Al-Mg alloy. An experimental work was conducted using a submerged cavitating waterjet to impact the specimen surface. For a certain cavitation number and a given standoff distance, different liquid temperatures were considered. Accordingly, a comprehensive comparison was implemented by inspecting the mass loss and surface morphology of the tested specimens. The results show that the cumulative mass loss increases continuously with the liquid temperature. A cavitation zone with an irregular profile becomes evident as the cavitation treatment proceeds. Increasing More > Graphic Abstract

Jianan Wang^1,*, Yikuan Fan², Weidong Duan³, Zhaopeng Song¹

Energy Engineering, Vol.121, No.11, pp. 3401-3415, 2024, DOI:10.32604/ee.2024.055158 - 21 October 2024

Abstract Since pure tobacco stalk (TS) biomass pellet fuels tend to slag, five anti-slagging agents were added to the crushed TS to obtain a pellet fuel that could be used in biomass burners to provide heat for tobacco curing. The obtained results revealed that the main component of TS pellet fuel was K₂Si₂O₅. During fuel combustion process, additives generated higher melting point silicate compounds by Al–K, Ca–K, and Ca–K elemental structures to replace single K elemental structure of TS, enhancing the anti-slagging efficiency of the pellet fuel from 21.63% to 78.29% and promoting the precipitation of K, More >

LICHEN XU^1,2, PAN ZHANG^3,*, GUIQI ZHANG², ZHAOLIANG SHEN⁴, XIZHUANG BAI^1,3,*

Oncology Research, Vol.32, No.11, pp. 1777-1789, 2024, DOI:10.32604/or.2024.047704 - 16 October 2024

Abstract Background: Osteosarcoma (OS), recognized as the predominant malignant tumor originating from bones, necessitates an in-depth comprehension of its intrinsic mechanisms to pinpoint novel therapeutic targets and enhance treatment methodologies. The role of fat mass and obesity-associated (FTO) in OS, particularly its correlation with malignant traits, and the fundamental mechanism, remains to be elucidated. Materials and Methods: 1. The FTO expression and survival rate in tumors were analyzed. 2. FTO in OS cell lines was quantified utilizing western blot and PCR. 3. FTO was upregulated and downregulated separately in MG63. 4. The impact of FTO on the… More >