Article
Chemistry, Multidisciplinary
Hang Zhang, Feng Lin, Laichen Liu, Tian Tong, Runjia Li, Hong Zhong, Zhongchen Chen, Chengzhen Qin, Qiaozhen Wang, Yu Qi, Changjin Wu, Xin Tong, Peng Yu, Ke Sun, Dong Liu, Jiming Bao, Zhiming Wang
Summary: The authors propose a principle to enhance Marangoni convection by hindering its transition to recirculation flow using an external field. They validate the principle using ferrofluid and demonstrate a high-speed and long-range Marangoni flow. They also show the application of a self-driving pipeless liquid conveyor belt.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Engineering, Multidisciplinary
Amor Rebey, S. Mohammad Sajadi
Summary: The present study simulated the mixed convection of water/Al2O3 nanofluid in a two-dimensional rectangular cavity with the presence of radiation. The effects of magnetic field, cavity height, and radiation parameter on heat transfer and fluid rotation were analyzed. The results showed that the incorporation of radiation reversed the flow rotation and increased the Nu on the wall. The cavity height and magnetic field had significant effects on Nu at different conditions.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Thermodynamics
Shihua Lu, Boyu He, Dongyan Gao, Weiwei Chen, Xinjun Li
Summary: The study investigates the effect of magnetic field on double-diffusive natural convection in an enclosure with heat-conducting partition. It found that the heat and mass transfer mechanisms are influenced by Hartmann number, and the flow pattern depends significantly on the magnetic field angle, with an optimal angle of 90 degrees for stable and maximum transfer rates. Additionally, correlations of the average Nusselt and Sherwood number were fitted.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Multidisciplinary
Saeed Alqaed, Jawed Mustafa, Fahad Awjah Almehmadi, Mohsen Sharifpur
Summary: This article investigates the convection heat transfer of Cu/water nanofluid in a cavity with five high-temperature obstacles. The impact of a magnetic field on heat transfer, thermal entropy generation, and Bejan number is evaluated. The results show that changing the angle of the magnetic field has little effect on the Nusselt number, while increasing the magnetic field strength reduces the thermal entropy generation and average Nusselt number.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Thermodynamics
Sayed Mahdi Naghavi, Ghanbar Ali Sheikhzadeh
Summary: The study compared three methods for applying body force in LBM and identified the best method for large Richardson number flows, showing significant impact on the results.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2022)
Article
Chemistry, Multidisciplinary
Jia Xu, TieZhu Qiao, Qing Li, GuoWei Zhang, GuiRong Hao
Summary: This study proposes an optimization method of crystal rotation to improve the quality of crystal seeding under complex convection. By calculating and analyzing the unsteady melt flow rate, internal temperature of the melt, and crystal rotation speed, the results show that this method can effectively restrain melt convection and improve the temperature distribution on the surface of the melt.
Article
Thermodynamics
Mohammad Nemati, Hajar Mohamadzade Sani, Ramin Jahangiri, Mohammad Sefid, S. Mohammad Sajadi, Dumitru Baleanu, Ferial Ghaemi
Summary: This study investigates the impact of magnetic field angle on nanofluid flow characteristics and natural convection heat transfer using the MRT-LBM method. Results show that increasing magnetic field strength reduces the average Nusselt number, while periodically applying the magnetic field increases heat transfer efficiency. Non-uniform effects of magnetic field application become more significant with increasing cavity aspect ratio.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Thermodynamics
Mohammad Nemati, Hajar Mohamadzade Sani, Ramin Jahangiri, Ali J. Chamkha
Summary: In this study, the natural convection heat transfer characteristics of a nanofluid under a magnetic field were investigated using the Lattice Boltzmann Method (LBM). The effects of different wall shapes and heating modes on the flow and heat transfer were studied. The results showed that increasing the magnetic field strength and heat generation/absorption coefficient decreased the heat transfer efficiency.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Mathematics, Applied
Takashi Yodono, Kentaro Yaji, Takayuki Yamada, Kozo Furuta, Kazuhiro Izui, Shinji Nishiwaki
Summary: In this paper, a topology optimization method for isotropic linear elastic body problems using LBM is proposed. The analysis approach of the isotropic linear elastic field using LBM is constructed by incorporating the expansion technique of the governing equations. The design sensitivity is derived using the adjoint lattice Boltzmann method. The validity of the proposed method is demonstrated with numerical examples.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ikram Cherkaoui, Soufiene Bettaibi, Abdelwahed Barkaoui, Frederic Kuznik
Summary: The study investigates the effect of high magnetic field on blood flow in stenotic artery using a lattice Boltzmann model. Results show that velocity and recirculation zone increase with the degree of stenosis and Reynolds number, while a decrease is observed with increased Hartmann number. The proposed model is effective and can be used in the treatment of cardiovascular disorders and regulating blood flow during surgical procedures.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Materials Science, Multidisciplinary
Shinji Sakane, Tomohiro Takaki
Summary: By introducing the two-relaxation-time and interpolated bounce-back models, a highly efficient acceleration method for PF-LB simulations was developed in this study, which can be used for simulating the solidification of alloys.
COMPUTATIONAL MATERIALS SCIENCE
(2021)
Article
Mechanics
Ehsan Kian Far, Mohsen Gorakifard, Mojtaba Goraki Fard
Summary: This paper proposes a new three-dimensional phase-field model using the cumulant lattice Boltzmann method to simulate soluble surfactants. The proposed method overcomes limitations of current models by obtaining parameters directly from initial interfacial tension and bulk surfactant and using a new equilibrium distribution function to minimize Galilean invariance violation. It accurately simulates various behaviors related to interfacial tension and surfactants, such as the breaking-up and coalescence of droplets and the breakage of a liquid thread at a high viscosity ratio.
Article
Thermodynamics
Jinyi Wu, Dongke Sun, Wei Chen, Zhenhua Chai
Summary: A unified lattice Boltzmann-phase field scheme is proposed to simulate dendrite growth of binary alloys in the presence of melt convection. The effects of various factors on the growth are investigated numerically, and the model is validated through comparisons and examinations.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Engineering, Multidisciplinary
Nemat Ebrahimi, Hossein Ahmadi Danesh Ashtiani, Davood Toghraie
Summary: The mixed convection of nanofluid within an inclined trapezoidal cavity in the presence of a magnetic field was explored using the lattice Boltzmann method. The study found that increasing the Rayleigh number and decreasing the Richardson number improves heat transfer. Increasing the volume fraction of nanoparticles leads to a higher average Nusselt number. However, increasing the Hartmann number reduces heat transfer. Altering the cavity's slope and the magnetic field's angle also has an effect on the flow and heat transfer. Applying a magnetic field has a more pronounced impact on heat conduction.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Multidisciplinary
Chuan Sun, Yuelei Zhang, Somayeh Davoodabadi Farahani, Chenggang Hu, Mohammad Nemati, S. Mohammad Sajadi
Summary: This study evaluates the entropy generated during conjugate heat transfer of a non-Newtonian fluid in a two-dimensional cavity under the influence of a magnetic field and heat absorption/production. Various variables are analyzed, such as wall shape, thermal conductivity ratio, and fluid type. The results show that the effectiveness of the magnetic field depends on factors such as the power-law index and chamber aspect ratio.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2022)
Article
Engineering, Industrial
Yuqing Zhang, Min Xie, Yihai He, Wei Dai
Summary: This paper presents a new framework for monitoring workpiece quality considering interior features, using a rapid simulation method to acquire the state of product interior features and proposing a simulation algorithm based on the multi-subdomain coupling method to supplement production quality assessment and control criteria.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Anqi Zhang, Yihai He, Chengcheng Wang, Jishan Zhang, Zixuan Zhang
Summary: Reliability is crucial in product manufacturing, and root cause analysis can help identify vulnerable parameters that may degrade product reliability. This study proposes a root cause identification approach based on QFD and RPN to prevent the degradation of product manufacturing reliability.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Engineering, Industrial
Yao Li, Yihai He, Jun Ai, Chengcheng Wang, Xiao Han, Ruoyu Liao, Xiuzhen Yang
Summary: This paper presents a functional health state prognosis approach for manufacturing system considering coupling operational factors. Models are constructed to analyze the coupling effect between operational factors. The effectiveness of the proposed method is illustrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Wenzhuo Wang, Yihai He, Ruoyu Liao, Yuqi Cai, Xin Zheng, Yu Zhao
Summary: This paper proposes a functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network (ESFN). The approach takes into account the impact of imperfect inspection and is validated through an illustrative example.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Industrial
Xiuzhen Yang, Yihai He, Ruoyu Liao, Yuqi Cai, Jun Ai
Summary: This paper proposes a novel integrated mission reliability modeling approach based on EQSTN for intelligent multistate manufacturing systems, aiming to ensure the reliability of the final produced products and quantify the operational healthy state of the intelligent manufacturing system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Xiao Han, Yihai He, Zili Wang, Yuqi Cai, Wei Dai
Summary: This study proposes an RUL prediction method for intelligent manufacturing systems based on the fuzzy Quality State Task Network (QSTN) model. By considering the fuzzy mission reliability indicator and the degradation of manufacturing equipment and WIP quality simultaneously, the accuracy of RUL prediction is improved.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Industrial
Wenzhuo Wang, Yihai He, Ruoyu Liao, Yuqi Cai, Xin Zheng, Yu Zhao
Summary: This paper proposes a novel modeling approach for the functional healthy state of a manufacturing system, considering the production rhythm and workpiece quality, aiming to enhance the overall reliability and functional demands satisfaction of the system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Multidisciplinary
Wenzhuo Wang, Yu Zhao, Yihai He, Xiuzhen Yang, Jishan Zhang
Summary: This study proposes an evaluation approach of the functional healthy state based on phased state task network (PSTN) theory for the intelligent multistation manufacturing systems. By establishing an integrated mission reliability model and utilizing fuzzy evidence theory, the functional healthy state of the system can be effectively evaluated. The example verification and analysis results demonstrate the effectiveness and advantages of this method.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Automation & Control Systems
Yazhou Li, Wei Dai, Junjun Dong, Yihai He
Summary: Stable machining process state is critical to product quality. However, existing method for monitoring the cutting process state cannot accurately manifest the actual machining situation. This study proposes a multi-delay ordinal pattern (OP) (MDOP) image feature based on OP analysis and a complex machining state recognition method based on dictionary template matching. The proposed method accurately identifies different cutting states, and the multi-source signals further improve the accuracy of the model.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Yuqing Zhang, Min Xie, Yihai He, Xiao Han
Summary: This paper proposes a capability-based approach for predicting the remaining useful life (RUL) of machining tools, which aims to evaluate the state and RUL of tools to ensure product quality. By developing physics-based and data-driven models to assess the quality capability of tools, the effectiveness and accuracy of the proposed approach are verified.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Yao Li, Yihai He, Ruoyu Liao, Xin Zheng, Wei Dai
Summary: This paper proposes a novel integrated predictive maintenance (PdM) strategy to improve the performance of manufacturing systems. By elucidating the influence of product defects on system performance, analyzing defect mechanisms, and evaluating maintenance investment and economic losses, an optimal maintenance strategy is proposed.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Ruoyu Liao, Yihai He, Jishan Zhang, Xin Zheng, Anqi Zhang, Weifang Zhang
Summary: Reliability assurance is a set of activities aimed at ensuring that the final product's reliability meets the design specifications throughout its life cycle. However, most of these activities are concentrated in the design phase, resulting in difficulties in meeting the design reliability requirements during the manufacturing process. To address this issue, this article explains the definition and evolution mechanism of product key reliability characteristic (KRC) and proposes a KRC-driven reliability proactive control strategy in the manufacturing process.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Ruoyu Liao, Yihai He, Tianyu Feng, Xiuzhen Yang, Wei Dai, Weifang Zhang
Summary: An operational risk-based predictive maintenance approach is proposed to address the limitations of physical condition-based maintenance in meeting manufacturing system requirements. The approach considers operational risk, including product quality decline and production task delay, and aims to minimize comprehensive production cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Hardware & Architecture
Yao Li, Yihai He, Ruoyu Liao, Xin Zheng, Wei Dai
Summary: This article presents a mission reliability modeling method considering the cascading functional failure of multistation manufacturing systems. It discusses the cascading failure mechanism of manufacturing systems and proposes the relationship between functional failure and mission reliability. It establishes an interaction model and a failure model, and validates the effectiveness and advancement of the proposed method through a case study.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou
Summary: In this paper, a preference-aware spatial task assignment system based on workers' temporal preferences is proposed. The system models workers' preferences using a three-dimension tensor and devises preference-aware individual task assignment algorithms. The original framework is further optimized by considering workers' tolerable waiting time, consensus, and tasks' rewards.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
