Jiayu Chen¹, Yingchun Bai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011393

Abstract Mega-casting techniques are widely used to manufacture large piece of thin-walled structures for vehicle body in Automotive industries, especially with the rapid growing electric vehicle market. Topology optimization is effective design method to reach higher mechanical performance yet lightweight potential for casting structures [1-3]. Most of existing works is focused on geometric-type casting constraints such as drawn angle, partion line, undercut, and enclose holes. However, the challenges in mega-casting arise from the complexities in the casting process such as filling and solidification, and the corresponding defects have larger influences on the structural performances [4-6]. Partial… More >

Jinyu Gu¹, Yingjun Wang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010958

Abstract In engineering practice, most components are subjected to variable-amplitude cyclic loading, resulting in fatigue damage, which is one of the main forms of damage in engineering structures. Nonlinear damage rule is developed based on linear damage rule, which can predict the fatigue life of structures more accurately. Therefore, we present a topology optimization method considering nonlinear fatigue damage accumulation in the time domain. For the time domain, we adopted the rainflow counting method to evaluate the stress level generated by cyclic loading and the Basquin equation to describe the S-N curve. We applied Morrow's plastic… More >

Chongdong Lin^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011631

Abstract In many real-world scenarios, such as high-speed combustion processes and re-entry flows in aerospace vehicles, the flow conditions often involve complex interactions between multiple chemical species and energy modes, leading to thermodynamic nonequilibrium effects. Traditional computational fluid dynamics (CFD) methods struggle to accurately capture these phenomena due to their simplifying assumptions regarding equilibrium thermodynamics. To solve this issue, the Multicomponent Discrete Boltzmann Method (MDBM) is proposed as a numerical approach to simulate compressible reactive flows with thermodynamic nonequilibrium effects. Based on kinetic theory, this method can capture the complex interactions between different species and energy… More >

Dongshi Guan^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011291

Abstract Contact line pinning and the corresponding contact angle hysteresis (CAH) are important interfacial phenomena that occur in nature and play a significant role in many industrial processes, such as surface coating, ink-jet printing, and immersion lithography. Traditional optical methods face limitations due to the optical diffraction limit, making it difficult to directly measure flow and interface phenomena at the micro- or nanoscale. However, atomic force microscopy (AFM) offers a solution by enabling precise manipulation and force measurements at micro and nano scales. The AFM-based microrheometer, which is assembled with a long-needle probe, can be used More >

Jiaxin Wu^1,2, Yi Zhan¹, Min Luo^1,*, Boo Cheong Khoo²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011058

Abstract Research on the mechanism of fluid flows (particularly nonlinear) on solid structures is of great scientific and engineering significance, as well as to implement effective control by using intelligent solid structures (i.e., agents). These dynamical systems involve complex interactions of fluid dynamics and solid mechanics and, thus are typically defined as fluid-structure interaction (FSI) problems. For effective analysis of FSI systems and implementing active control, numerical modeling that couples fluid and solid solvers proves to be an effective approach. However, the efficiency and accuracy of conventional numerical methods for solving such problems are limited due… More >

Haris Alam Zuberi¹, Madan Lal¹, Shivangi Verma¹, Nurul Amira Zainal^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1137-1163, 2024, DOI:10.32604/cmes.2024.055493 - 27 September 2024

Abstract Motivated by the widespread applications of nanofluids, a nanofluid model is proposed which focuses on uniform magnetohydrodynamic (MHD) boundary layer flow over a non-linear stretching sheet, incorporating the Casson model for blood-based nanofluid while accounting for viscous and Ohmic dissipation effects under the cases of Constant Surface Temperature (CST) and Prescribed Surface Temperature (PST). The study employs a two-phase model for the nanofluid, coupled with thermophoresis and Brownian motion, to analyze the effects of key fluid parameters such as thermophoresis, Brownian motion, slip velocity, Schmidt number, Eckert number, magnetic parameter, and non-linear stretching parameter on… More > Graphic Abstract

Mudasar Zafar^1,2,3,*, Hamzah Sakidin¹, Abida Hussain¹, Loshini Thiruchelvam⁴, Mikhail Sheremet⁵, Iskandar Dzulkarnain³, Roslinda Nazar⁶, Abdullah Al-Yaari¹, Rizwan Safdar^7,8

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1193-1211, 2024, DOI:10.32604/cmes.2024.049259 - 27 September 2024

Abstract This study aims to formulate a steady-state mathematical model for a three-dimensional permeable enclosure (cavity) to determine the oil extraction rate using three distinct nanoparticles, SiO₂, Al₂O₃, and Fe₂O₃, in unconventional oil reservoirs. The simulation is conducted for different parameters of volume fractions, porosities, and mass flow rates to determine the optimal oil recovery. The impact of nanoparticles on relative permeability ( and water is also investigated. The simulation process utilizes the finite volume ANSYS Fluent. The study results showed that when the mass flow rate at the inlet is low, oil recovery goes up. In addition, More >

Sha Liu^*, Jianfa Wu, Xuefeng Yang, Weiyang Xie, Cheng Chang

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2301-2321, 2024, DOI:10.32604/fdmp.2024.052454 - 23 September 2024

Abstract The pivotal areas for the extensive and effective exploitation of shale gas in the Southern Sichuan Basin have recently transitioned from mid-deep layers to deep layers. Given challenges such as intricate data analysis, absence of effective assessment methodologies, real-time control strategies, and scarce knowledge of the factors influencing deep gas wells in the so-called flowback stage, a comprehensive study was undertaken on over 160 deep gas wells in Luzhou block utilizing linear flow models and advanced big data analytics techniques. The research results show that: (1) The flowback stage of a deep gas well presents… More > Graphic Abstract

Mingjing Lu^1,2,*, Qin Qian¹, Anhai Zhong¹, Feng Yang¹, Wenjun He¹, Min Li¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2281-2300, 2024, DOI:10.32604/fdmp.2024.051594 - 23 September 2024

Abstract Continental shale oil reservoirs, characterized by numerous bedding planes and micro-nano scale pores, feature significantly higher stress sensitivity compared to other types of reservoirs. However, research on suitable stress sensitivity characterization models is still limited. In this study, three commonly used stress sensitivity models for shale oil reservoirs were considered, and experiments on representative core samples were conducted. By fitting and comparing the data, the “exponential model” was identified as a characterization model that accurately represents stress sensitivity in continental shale oil reservoirs. To validate the accuracy of the model, a two-phase seepage mathematical model More >

Munirah Alotaibi¹, Doaa Rizk², Amal Al−Hanaya¹, Ahmed Hagag³

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.40, No.1, pp. 1-9, 2024, DOI:10.23967/j.rimni.2024.02.003 - 23 February 2024

Abstract In this study, we examine the Kuramoto-Sivashinsky equation which is a nonlinear model that describes several physical and chemical events arising in fluid flow. The approximate analytical solution for the fractional KS (FKS) problem is calculated using the Temimi-Ansari method (TAM) and the natural decomposition method (NDM). The projected procedure (NDM) combines the adomian decomposition method with the natural transform. Each technique can deal with nonlinear terms without making any assumptions. The methodologies under consideration provide ω_n-curves that display the convergence window of the power series solution that approaches the exact solution. We explore two distinct More >