Engineering, Mechanical

Article Engineering, Mechanical

Studies on certain bilinear form, N-soliton, higher-order breather, periodic-wave and hybrid solutions to a (3+1)-dimensional shallow water wave equation with time-dependent coefficients

Yuan Shen, Bo Tian, Shao-Hua Liu, Tian-Yu Zhou

Summary: In this paper, we investigate a (3+1)-dimensional shallow water wave equation with time-dependent coefficients and obtain various solutions and their associated nonlinear phenomena using the Hirota method and symbolic computation.

NONLINEAR DYNAMICS (2022)

Article Thermodynamics

Thermal assessment of solar concentrated system with utilizing CNT nanoparticles and complicated helical turbulator

M. Sheikholeslami, M. Jafaryar

Summary: The turbulent flow of nanomaterial (a mixture of CNT and water) within a circular tube of a solar system absorber was numerically simulated in this article. The tube was equipped with a complex swirl flow device to enhance fluid-wall interaction and achieve warmer fluid. Ten mirrors were used to concentrate solar radiation, and the geometric parameters were calculated to optimize optical performance. The simulation employed a K-epsilon model based on the finite volume method. The results showed that increasing the CNT fraction improved thermal performance, and changing the pitch ratio and flow rate had significant effects on friction factor and convective factor.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2023)

Article Engineering, Civil

Free vibration analysis of functionally graded doubly curved nanoshells using nonlocal first-order shear deformation theory with variable nonlocal parameters

Pham Van Vinh, Abdelouahed Tounsi

Summary: This paper investigates the free vibration of functionally graded doubly curved nanoshells using nonlocal first order shear deformation theory, and the frequencies are obtained via Navier's solution technique. The effects of various parameters on the vibration response are also studied.

THIN-WALLED STRUCTURES (2022)

Review Thermodynamics

Soot inception: Carbonaceous nanoparticle formation in flames

Jacob W. Martin, Maurin Salamanca, Markus Kraft

Summary: This review discusses the formation of carbonaceous nanoparticles from gas-phase molecules in hydrocarbon flames, highlighting both their useful applications and negative impacts as pollutants. Advances in experimental techniques have allowed for the direct observation of gas phase precursors and the transformation into nanoparticles over the past decade. Questions remain regarding the mechanisms leading to nanoparticle formation, with physically stabilised soot inception proposed as a potential middle ground combining physical and chemical routes.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2022)

Article Engineering, Mechanical

Machinability of ultrasonic vibration-assisted micro-grinding in biological bone using nanolubricant

Yuying Yang, Min Yang, Changhe Li, Runze Li, Zafar Said, Hafiz Muhammad Ali, Shubham Sharma

Summary: Micro-grinding is an important step in most surgical operations, but technical challenges such as insufficient cooling capacity, poor visibility, and high grinding temperature have hindered its progress. To address these issues, a new micro-grinding process called ultrasonic vibration-assisted nanoparticle jet mist cooling (U-NJMC) is proposed, combining the advantages of ultrasonic vibration and nanoparticle jet mist cooling. The combined effect of U-NJMC on cooling has been investigated and compared to other grinding methods. Results show that U-NJMC significantly reduces grinding force, friction coefficient, specific grinding energy, and grinding temperature, making it a promising approach for clinical surgical micro-grinding of biological bone.

FRONTIERS OF MECHANICAL ENGINEERING (2023)

Article Engineering, Mechanical

An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

Lucas C. Brito, Gian Antonio Susto, Jorge N. Brito, Marcus A. Duarte

Summary: This paper introduces a new approach for fault detection and diagnosis in rotating machinery, which includes feature extraction, fault detection, and fault diagnosis. Fault detection is achieved through vibration feature extraction and anomaly detection algorithms, while fault diagnosis is performed using the SHAP technique for interpretation of black-box models.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Article Computer Science, Interdisciplinary Applications

The role of spatial variation of the nonlocal parameter on the free vibration of functionally graded sandwich nanoplates

Pham Van Vinh, Abdelouahed Tounsi

Summary: This study investigates the impact of the spatial variation of nonlocal parameters on the free vibration of functionally graded sandwich nanoplates. By modifying classical nonlocal elasticity theory, the research highlights the importance of considering the dependency of nonlocal parameters on material variations through the thickness of the nanoplates. Numerical results confirm the significant role of nonlocal parameter variations in the free vibration of functionally graded sandwich nanoplates, providing insights not previously explored in literature.

ENGINEERING WITH COMPUTERS (2022)

Article Computer Science, Interdisciplinary Applications

Characteristics of melting heat transport of blood with time-dependent cross-nanofluid model using Keller-Box and BVP4C method

Assad Ayub, Zulqurnain Sabir, Gilder Cieza Altamirano, R. Sadat, Mohamed R. Ali

Summary: This study analyzes the melting heat transport of blood with iron nanoparticles, converting PDEs into a set of ODEs and calculating the solution through RK 4 method and Keller-Box scheme. The results highlight the importance of iron oxide nanoparticles in the biomedical field.

ENGINEERING WITH COMPUTERS (2022)

Article Computer Science, Interdisciplinary Applications

Chaotic oppositional sine-cosine method for solving global optimization problems

Xi Liang, Zhennao Cai, Mingjing Wang, Xuehua Zhao, Huiling Chen, Chengye Li

Summary: This study proposes an improved sine-cosine algorithm (SCA) for global optimization tasks, called chaotic oppositional SCA (COSCA), which strengthens the exploration and exploitation capability of the basic SCA by utilizing chaotic local search strategy and opposition-based learning strategy. Simulation experiments show that COSCA significantly improves the global optimization ability and outperforms other algorithms, and it also effectively solves complex engineering problems with constraints.

ENGINEERING WITH COMPUTERS (2022)

Article Engineering, Mechanical

Fatigue life analysis of aero-engine blades for abrasive belt grinding considering residual stress

Guijian Xiao, Benqiang Chen, Shaochuan Li, Xiaoqin Zhuo

Summary: This study focuses on grinding of aero-engine blades, proposes a life prediction algorithm considering residual stress, validates the effectiveness of the method through experiments and simulations, and presents a residual stress equivalent calibration method.

ENGINEERING FAILURE ANALYSIS (2022)

Review Thermodynamics

Progress and challenges on the thermal management of electrochemical energy conversion and storage technologies: Fuel cells, electrolysers, and supercapacitors

Saman Rashidi, Nader Karimi, Bengt Sunden, Kyung Chun Kim, Abdul Ghani Olabi, Omid Mahian

Summary: Electrochemical systems can only achieve optimal performance within a narrow temperature range, and thermal management is crucial for the design and operation of these systems. While significant efforts have been made in cooling technologies for battery systems, heat transfer in other electrochemical systems commonly used for energy conversion and storage has not been critically reviewed.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2022)

Review Engineering, Mechanical

A review of vibration-based gear wear monitoring and prediction techniques

Ke Feng, J. C. Ji, Qing Ni, Michael Beer

Summary: Vibration analysis is widely used to monitor the operating condition of rotating machinery, but its application in gear wear analysis is limited. This review aims to fill this research gap by studying the relationship between gear surface features and vibration characteristics, and summarizing the current progress in vibration-based gear wear monitoring.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)

Article Thermodynamics

A CNN-ABC model for estimation and optimization of heat generation rate and voltage distributions of lithium-ion batteries for electric vehicles

Sercan Yalcin, Satyam Panchal, Munur Sacit Herdem

Summary: Accurately estimating battery voltage and heat generation rate is crucial for safe and efficient operations of electric vehicles. This study proposes a novel scheme combining convolutional neural network and artificial bee colony algorithm for estimating HGR and voltage. The proposed model dynamically reveals hidden features in the data and uses new objective and fitness functions to optimize the estimates.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2022)

Article Engineering, Mechanical

Nonlinear control of logic structure of all-optical logic devices using soliton interactions

Qin Zhou, Tianyi Wang, Anjan Biswas, Wenjun Liu

Summary: The all-optical logic device is a key component in all-optical communication and computing systems. This paper investigates all-optical logic devices using optical solitons, presenting three-soliton solutions and discussing the conditions for their formation and performance. The results have theoretical significance for the application of these devices.

NONLINEAR DYNAMICS (2022)

Article Automation & Control Systems

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

Wei Zhang, Xiang Li

Summary: This article proposes a federated transfer learning method for fault diagnosis, which enhances data privacy by using different models among different users, and addresses the domain shift and data privacy issues through federated initialization, federated communication, and prediction consistency scheme.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022)

Article Thermodynamics

Numerical simulation of the mixing behaviour of hot and cold fluids in the rectangular T-junction with/without an impeller

Kexin Huang, Bo Su, Tong Li, Hanbing Ke, Mei Lin, Qiuwang Wang

Summary: Thermal stratification is the main cause of thermal fatigue failure in rectangular T-junctions. By setting an impeller with a constant rotation speed, the mixing behavior of hot and cold fluids can be improved, and various flow patterns including wall jet, deflecting jet, and impinging jet can be observed. The relationship between mixing length and blade diameter is not monotonic, and the optimal operating point is around D-p* = 0.5 for impellers with 2 blades.

APPLIED THERMAL ENGINEERING (2022)

Article Engineering, Mechanical

A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings

Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao

Summary: This paper introduces a novel time-frequency Transformer model to address the shortcomings of traditional models, demonstrating superior fault diagnosis performance in comparison with benchmark models and other state-of-the-art methods.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Article Computer Science, Interdisciplinary Applications

An efficient computational model for vibration behavior of a functionally graded sandwich plate in a hygrothermal environment with viscoelastic foundation effects

Mohamad W. Zaitoun, Abdelbaki Chikh, Abdelouahed Tounsi, Alfarabi Sharif, Mohammed A. Al-Osta, Salah U. Al-Dulaijan, Mesfer M. Al-Zahrani

Summary: This paper presents the solution for the free vibrational response of a functionally graded sandwich plate on a viscoelastic foundation under a hygrothermal environment load. The study shows that increasing the damping coefficient of the viscoelastic foundation enhances the plate's free vibrational response, with the degree of enhancement influenced by the hygrothermal environment.

ENGINEERING WITH COMPUTERS (2023)

Article Engineering, Civil

Novel joint for improving the collapse resistance of steel frame structures in column-loss scenarios

Li-min Tian, Mu-han Li, Lei Li, Dong-ye Li, Chong Bai

Summary: This study focuses on improving the collapse resistance of steel frame structures by welding corrugated steel plates between the flange of I-shaped beams and the column to create reinforced joints. The collapse resistance tests were conducted on the novel reinforced joints with welded and bolt-welded connections. The study analyzes the effects of the circular arc length, thickness, and central angle of the corrugated plates on the collapse resistance and proposes design recommendations. The results show that the reinforced joints significantly improve the bearing capacities and ductility of the steel frame structures without compromising their seismic behavior.

THIN-WALLED STRUCTURES (2023)

Article Engineering, Mechanical

Comparative measurements of fracture toughgness combined with visual analysis of cracks propagation using the DIC technique of concretes based on cement matrix with a highly diversified composition

G. L. Golewski

Summary: This paper presents a comparative study on the fracture toughness and crack propagation of concretes made with quaternary binders. The use of mineral additives in combination with nanosilica as a partial replacement of ordinary Portland cement binder is proposed. The tests conducted aimed to assess the mechanical parameters, fracture toughness, and fracture processes of the concretes. The results showed that modifying the binder composition with three pozzolanic active materials increased the mechanical parameters compared to control concrete. Additionally, as the content of fly ash increased, the concrete became more ductile and exhibited less brittle failure. The composite with 80% OPC, 5% FA, 10% SF, and 5% nS showed high fracture toughness and lower brittleness, making it suitable for reinforced concrete structures subjected to dynamic or cyclic loads.

THEORETICAL AND APPLIED FRACTURE MECHANICS (2022)