Transactions on Engineering and Technology Research Transactions on Engineering and Technology Research
Vol. 3 (ICMEIT 2024)
4th International Conference on Mechatronics Engineering and Information Technology
ICMEIT 2024
Conference Dates: July 27-28, 2024
Conference Venue: Dalian, China
Conference Editors: Haifeng Hu, Beau Adams
Conference Website: https://conf1.org/index.php/ICMEIT/index
ISSN: 2960-1797
eISSN: 2960-2246
ISBN: 978-1-961651-37-1
Published: September 13, 2024
Preface: 4th International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2024)

Articles

A multilevel study on the variation characteristics of tip wake to wind turbines with different fusion tip structures

Abstract: Based on the regional division and spatial discretization strategy of the established effective computational fluid dynamics (CFD) numerical model for the wake of an original tip wind turbine blade, a corresponding high-precision CFD calculation model is developed for a series of blade tip wind turbines with different fused tip structures. Transient numerical calculation results are obtained for each base sample matrix corresponding to different geometric parameters of the blade tip. The … Read More

Phase field simulations of microstructure evolution of monocrystalline and polycrystalline silicon by forced convection

Abstract: In this study, the phase field method was used to numerically simulate single crystal and polycrystalline silicon under the action of forced convection. Following the construction of the phase field model, the effects of parameters such as the degree of undercooling and convection velocity on the growth morphology of monocrystalline and polycrystalline silicon were simulated. The crystal nuclei of different sizes and multi-grain growth conditions of different nucleation times were obtained. The … Read More

Development of high-speed railway signal testing technology and its application in system safety assessment

Abstract: With the rapid development of high-speed railway technology, the complexity and accuracy of signal system are constantly improving, which puts forward higher requirements for signal testing technology. As a key link to ensure the normal operation of high-speed railway signal system, signal testing technology has experienced the evolution from basic manual testing to highly automated and intelligent testing. In the early stage, high-speed railway signal testing mainly relies on manual operation … Read More

Study on Efficient Application and Mechanism of New Environmental Materials in Pollution Control

Abstract: We believe that with the improvement of people's awareness of environmental protection and the emergence of more new environmentally friendly materials, the problem of pollution caused by building and decoration materials can be effectively alleviated. The advancement of polymer chemistry has made it possible to synthesize nonlinear polymers with star shaped, branched, branched, and cyclic structures. The use of natural minerals for environmental pollution prevention and ecological restoration … Read More

T-Learner Based on Machine Learning for Customer Conversion Prediction and Causal Effect Evaluation

Abstract: Increasing customer conversion rate is an important topic of concern for every business entity. Among them, promotions and offers are the most common ways to do so. Often, managers want to predict whether customers are likely to become repeat customers through their consumption behaviour and quantify the impact of coupon issuance or not on customer conversion rate to help them determine practical business strategies. In this paper, we focus on customer consumption data of commercial entities, … Read More

Research of the Application of Cargo Volume Forecasting and Simulated Annealing Scheduling Optimization Based on Multi-model Integration in Logistics Centers

Abstract: SARIMA model and the XGBoost model are both classical time series forecasting tools, while the simulated annealing algorithm (SA) is an excellent multi-objective planning method. By combining these algorithms, this study aims to forecast the cargo volume of a logistics center and arrange the scheduling of the logistics center accordingly. First, the SARIMA forecasting, and XGBoost hybrid correction model can more accurately predict the cargo volume of this logistics center for the next 30 days. … Read More

Coupling effect of nano-tribology and biomechanics based on siphon phenomenon

Abstract: Nano-tribology focuses on the phenomena of friction, wear and lubrication at nano-scale, while biomechanics studies the response of objects and biomaterials under mechanical load. Through theoretical analysis, experimental operation and numerical simulation, this study comprehensively discusses the influence of siphon phenomenon on tribology and biomechanics at nanometer scale. Gold nanoparticles, silica nanoparticles and polymer nanoparticles were selected in the experiment. HeLa cells and … Read More

Strong inverter fault analysis and protection strategy based on advanced diagnostic technology

Abstract: As a key equipment in the power electronic system, the stability and reliability of the strong inverter directly affects the operation efficiency of the whole power system. However, since the inverter is in the high-voltage and high-current working environment for a long time, fault problems occur frequently, how to effectively diagnose the faults and formulate a reasonable protection strategy has become an urgent technical problem to be solved. The purpose of this paper is to study the fault … Read More

Application Attempt of Virtual Simulation in "Smoke Control and Exhaust Engineering"

Abstract: In the context of information technology, virtual simulation technology has become an important component of university teaching. This paper presented an exploration of the application of virtual simulation technology in the course "Smoke Control and Exhaust Engineering". By assigning course projects, students were tasked with constructing a model of an educational building featuring an atrium structure. The dispersion of smoke post-fire in the above building was visually simulated. The fire … Read More

Web Data Aggregation and the Application of Machine Learning in Data Analysis

Abstract: Integration of web data aggregation techniques with machine learning has come out as a transformation in the field of data analysis.". This study would, therefore, exploit a mix of web scraping, API calls, and real-time data streaming to collect diverse data from high-traffic web platforms. Sophisticated machine learning models, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this research correctly handles the complexities and challenges in handling such … Read More

A drill pipe counting method based on skeleton action recognition

Abstract: A drill pipe counting method based on human skeleton sequence recognition is proposed to address the issues of high workload, high environmental requirements, and large counting errors in existing drill pipe counting methods. Firstly, obtain human skeleton information through YOLOv7 and FastPose, and create a human skeleton dataset; Secondly, based on ST-GCN, an ML-ASTGNet action recognition network is designed, which captures more global contextual information through adaptive graph convolution … Read More

Study on Corrosion Behavior of HDR Duplex Stainless Steel Welded Joints

Abstract: Aiming at the actual corrosion problem of HDR duplex stainless steel used in marine seawater system, this paper studies the corrosion behavior of welded joints. The corrosion behavior of welded joints was studied by means of microstructure analysis, potentiodynamic polarization xperiment and double-ring potentiodynamic reactivation experiment, and the influence of welding process parameters on the corrosion resistance of HDR duplex stainless steel welded joints was nvestigated. The results show … Read More

Integration of Conditional Value-at-Risk (CVaR) in Multi-Objective Optimization

Abstract: This paper explores the integration of Conditional Value-at-Risk (CVaR) into the field of Multi-Objective Optimization (MOO), offering insights into its mathematical basis, significance in risk assessment, and application in complex decision-making scenarios. It discusses the challenges of MOO, presents traditional solution methods, and examines the advantages and limitations of CVaR. The article highlights the flexibility of CVaR as an objective function, particularly in financial portfolio … Read More

Study on cost calculation of mechanization construction in mountainous area

Abstract: In order to speed up the implementation of power grid engineering mechanization construction, improve the mountain mechanization construction cost accounting and the existing construction technology, construction scheme and equipment selection and use of the matching degree, based on the analysis of the present situation of mechanized construction in mountainous areas, this paper discusses the problems in mountain transportation, foundation construction and road construction, this paper … Read More
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