Riyi Lin^*, Bi Pang, Xinwei Wang

Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.076874 - 30 April 2026

Abstract The thickening of condensed liquid film outside heat-exchange pipes and the pipe bundle effect can significantly degrade the heat transfer efficiency, thus restricting the vacuum phase-change heating furnace from achieving its rated thermal efficiency of over 90%. In this work, a heat transfer enhancement method coupling simple harmonic vibration with non-circular pipes was proposed. A CFD model describing the heat transfer process of horizontal pipes under vibratory conditions was established and stepwise validated against experimental data from published literature and the Nusselt analytical solution. Taking a 50 mm steel circular pipe as the reference, numerical… More >

Savindi Thathsarani¹, Ashan Lakshitha², Pasindu Pramodya², Praveen Perera², Rasanjali Samarakoon^1,*, Shagufta Henna³, Upaka Rathnayake^4,*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078657 - 28 April 2026

Abstract Accurately determining the optimal post-harvest storage period is still a major challenge in mango processing, especially for the Tom EJC (TEJC) variety, due to reliance on subjective visual evaluations, leading to inconsistent product quality and increased post-harvest losses. This study presents an artificial intelligence-based framework combining computer vision and physicochemical analysis to objectively predict the optimal post-harvest storage period of TEJC mango before processing. TEJC mangoes of grade one were stored for eight days at 24–28°C temperature and 66.4–80% relative humidity. Daily measurements of pH, Total Soluble Solids (TSS), firmness, and peel color parameters (L*,… More > Graphic Abstract

Aimable Ngendahayo^1,*, Adrià Junyent-Ferré², Joan Marc Rodriguez Bernuz³

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.077594 - 27 April 2026

Abstract Bugesera, a historically drought-prone region in Rwanda, is undergoing transformation through investment in modern irrigation and sustainable agricultural practices. However, extending the national electrical grid to numerous dispersed smallholder farms poses a major challenge. The persistent water scarcity and rising conventional energy costs necessitate the development of innovative and sustainable solutions. This study investigates the use of photovoltaic (PV) pumping systems as a green energy alternative for off-grid rural areas, supporting both agricultural irrigation and domestic water supply. A model system serving five one-hectare market-gardening plots and 25 inhabitants was analyzed, with a total daily… More >

Siqiang Zheng^1,#, Yu Lu^2,#, Xuetong Xu¹, Kai Sun¹, Lanzhu Zhang^1,*, Zhiqin Qian^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076059 - 09 April 2026

Abstract Pipelines play a crucial role in chemical industrial production. However, due to long operating cycles, seal failures, and internal corrosion, hazardous chemical media are prone to leak, potentially leading to serious accidents such as explosions. To address the limitations of existing pipeline leak detection methods—specifically their insufficient recognition accuracy and poor robustness in noisy environments—this paper proposes an Acoustic Emission (AE)-driven leakage state recognition method based on wavelet time-frequency maps and the Inception-V3 deep network. First, a pipeline leak experimental platform was constructed, and AE signals were collected. The signals were denoised through wavelet decomposition More >

Sudhir Kumar Pandey¹, Jian-Xun Mi^1,*, Zahid Ullah², Mona Jamjoom³

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.074811 - 09 April 2026

Abstract Adversarial examples in object detection frequently fail to transfer between different models because attacks overfit to the source model’s architecture and feature space. We propose AugTrans, a framework that addresses this limitation through input-space regularization. Our key innovation is a multi-stage augmentation pipeline that incorporates object-level semantic awareness into transformation design. The pipeline comprises three novel components: dynamic object-centric rotation with adaptive scheduling, multi-box aware resizing based on ground-truth annotations, and composite noise injection. These transformations are integrated within the Expectation over Transformation (EOT) framework. By optimizing perturbations to remain effective across semantically meaningful transformations, our… More >

Miao Li¹, Ying Zhang¹, Yan Wang¹, Haiyan Zhao^2,*, Yonghu Zhang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.078695 - 31 March 2026

Abstract Slug flow represents one of the most critical and operationally challenging regimes in oil-gas-water multiphase pipelines. To advance both mechanistic understanding and predictive capability, this study integrates physical analysis with data-driven modeling to elucidate the conditions governing slug formation and to enable its rapid and accurate prediction. A systematic review of existing research is first undertaken to clarify the mechanisms responsible for slug initiation. The influences of gas superficial velocity, liquid velocity, liquid viscosity, liquid surface tension, and the axial component of gravity are examined to characterize their roles in interfacial instability and flow transition.… More >

Yan Shi^1,2, Xin Wang³, Yi Wang³, Bingfeng Zhao⁴, Shang Ren⁴, Xufang Zhang^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076624 - 30 March 2026

Abstract This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems. The dynamic model is based on a three-dimensional Timoshenko beam finite element formulation, with clamps represented as distributed spring elements possessing anisotropic stiffness. To overcome the prohibitive cost of traditional Monte Carlo simulation, the multiplicative dimensional reduction method (M-DRM) is integrated with variance decomposition theory. This approach approximates the high-dimensional frequency response function as a product of univariate components, enabling rapid computation of Sobol’ sensitivity indices with a More >

Randika K. Makumbura¹, Hasanthi Wijesundara², Hirushan Sajindra¹, Upaka Rathnayake^1,*, Vikram Kumar³, Dineshbabu Duraibabu¹, Sumit Sen³

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075539 - 12 March 2026

Abstract Accurate streamflow prediction is essential for flood warning, reservoir operation, irrigation scheduling, hydropower planning, and sustainable water management, yet remains challenging due to the complexity of hydrological processes. Although data-driven models often outperform conventional physics-based hydrological modelling approaches, their real-world deployment is limited by cost, infrastructure demands, and the interdisciplinary expertise required. To bridge this gap, this study developed QPred, a regional, lightweight, cost-effective, web-delivered application for daily streamflow forecasting. The study executed an end-to-end workflow, from field data acquisition to accessible web-based deployment for on-demand forecasting. High-resolution rainfall data were recorded with tipping-bucket gauges… More >

Yonghong Deng^1,2, Ming Yang², Liqiong Chen¹, Hongwei Rao¹, Shengguang Li², Changhui Zhou², Yangyang Huang², Zizheng Kong², Xicheng Gao², Chong Di², Ting He^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.077227 - 04 March 2026

Abstract With the maturation of coalbed methane (CBM) exploitation and the transition into the late stages of dewatering and gas production, liquid loading in gathering pipelines has emerged as a major constraint on productivity and operational stability. Based on real-time field data and gas–liquid physicochemical analyses, this study elucidates the mechanisms governing liquid loading formation under varying temperature, pressure, and water saturation conditions. An HYSYS model is employed to determine the water dew point, while the Turner model is used to evaluate the critical conditions for liquid holdup. The results indicate that gas water saturation exerts… More >

Maria Tănase^1,*, Gennadiy Lvov²

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.078844 - 26 February 2026

Abstract The increasing occurrence of corrosion-related damage in steel pipelines has led to the growing use of composite-based repair techniques as an efficient alternative to traditional replacement methods. Computer modeling and structural analysis were performed for the repair reinforcement of a steel pipeline with a composite bandage. A preliminary analysis of possible contact interaction schemes was implemented based on the theory of cylindrical shells, taking into account transverse shear deformations. The finite element method was used for a detailed study of the stress state of the composite bandage and the reinforced section of the pipeline. The… More >