Electronics Science Technology and Application

Intelligent application of information technology based on the Internet of Things and its impact on society

Jia Zhang, Liling Ye — Mon, 06 Jan 2025 10:37:07 +0800

Information technology plays a crucial role in intelligent applications, especially in the context of the Internet of Things (IoT). This article discusses the application of the Internet of Things in information technology and explores its impact on society through in-depth research and empirical studies. Firstly, this article introduces the development background of the Internet of Things and its applications in information technology, including IoT based smart home systems, smart healthcare, smart transportation, and other fields. Secondly, based on the experimental results, this article analyzes the positive impact of the application of the Internet of Things in information technology on society, such as improving the convenience of life, enhancing work efficiency, and promoting economic growth. However, this article also points out the negative impacts brought by IoT applications, such as data security and privacy protection issues, as well as increased network dependency. Finally, based on social reality, solutions to the problems brought by the Internet of Things and future development trends are proposed. Through this study, the aim is to guide the public to have a more comprehensive and in-depth understanding of the application of the Internet of Things in information technology and its impact on society, providing reference for future policy formulation.

Design of Electric Vehicle Power Matching Device Based on Computer Simulation Technology

Xianhuan Wu — Mon, 06 Jan 2025 10:37:10 +0800

With the continuous improvement of computer simulation technology, people’s requirements for the dynamic simulation of electric vehicles are gradually increasing. Cars play an increasingly important role in people’s life in the new era. It has been gradually upgraded from a simple means of transport to a quality of life. Electric steering system as a new technology, compared with hydraulic power steering can reduce fuel consumption, good highway feeling, easy to control and other advantages, is adopted by more and more automobile manufacturers. This paper aims to study the modeling, comparison and selection, design process, design and calculation method of main components, and power assist characteristic curve of electric steering system. It provides the foundation for the design and development of electric steering system.

Study on the corona characteristics of a 10kv anti-explosion motor with multi-rubber mold insulation system

Jie Cao, Jiangwei Xue — Mon, 06 Jan 2025 10:37:12 +0800

Safety incidents in mines, such as gas explosions and chemical accidents, have underscored the growing emphasis on safety management within corporations. This has led to an increased demand for explosionproof equipment in the market. The presence of extremely weak coronas can trigger explosions in gas mixtures containing hydrogen gas at concentrations around 21% ± 5% in the air. Consequently, preventing corona formation is pivotal for the effectiveness of explosion-proof motors. This paper consolidates a theoretical and practical examination to outline a 10kV electromechanical anti-corona structure for anti-explosion motors.

Application and research of dcgan model in image generation tasks

Lubin Liu — Mon, 06 Jan 2025 10:37:15 +0800

This article aims to delve into the principles of generative learning and its applications in image generation tasks by constructing cartoon image generation models and handwritten digit generation models. The experiment is based on the innovation of model architecture using Deep Convolutional Generative Adversarial Network (DCGAN), including adding convolutional layers to enlarge image size and applying Gaussian filtering and average pooling in cartoon image generation tasks, as well as designing conditional generative adversarial networks to generate handwritten images of specific numbers based on labels in handwritten digit generation tasks. The experiment elaborated on the model architecture, data processing, training process, and testing methods, and explored the impact of different network architectures and parameter settings on model performance. The results indicate that the proposed model architecture can effectively improve the quality of image generation, providing new ideas for the research and application of generative learning.

Study on algorithms for stable hover of UVA withSingle joint robotic arm during operation

Zehui Zhou — Mon, 06 Jan 2025 10:37:17 +0800

The potential applications of unmanned aerial vehicles (UAVs) are vast and exciting, yet their scope could be significantly expanded if they could be equipped with robotic arms. The primary objective of this study is to introduce one possible algorithm for stable hover of UAV with single-joint robotic arm during operation. After a brief introduction for PID algorithm, a usual algorithm for UAV’s operation, and Newton-Euler dynamic equation, a common method for dynamic modelling, this study finally discusses the combination of both as well as the probable application of the UAV with single- joint in daily life.

Research and application of a new technology for tunnel disease treatment

Yuming Zhang, Rui Li — Mon, 06 Jan 2025 10:37:19 +0800

In view of the problems of poor maintenance effect and repeated occurrence of diseases in the existing tunnel disease treatment technologies, this paper analyzes the current situation of tunnel construction in China. By adhering high-mechanical-performance and high-durability high-performance concrete to the existing concrete secondary lining, a complete and brand-new lining structure is formed. This structure closely adheres to the existing lining to form a composite lining structure that can bear loads together, which can significantly improve the mechanical characteristics of the lining structure and enhance the stability of the surrounding rock. The results of engineering application show that the compressive strength of specimens cured under the same conditions at the construction site reaches 110.4 MPa at 7 days, and the flexural strength reaches 16.9 MPa, far exceeding the design strength. This method has simple construction procedures, low cost, and strong applicability for the treatment of various tunnel diseases.

Construction technology of top push method for erecting large span steel box beams of railway bridges

Liangshan Zhang, Peipei Shang — Mon, 06 Jan 2025 10:37:21 +0800

In response to the problems of high construction difficulty, high precision requirements, and significant impact on surrounding traffic in the process of erecting large-span steel box girders for railway bridges, this paper proposes a construction technology based on the walking multi-point synchronous pushing method. This technology gradually pushes the steel box girder forward by installing a pushing device on the bridge pier, solving the problem of traditional lifting methods being unable to meet the requirements of large-span steel box girder erection. The research results indicate that this method can not only effectively control construction accuracy and reduce the impact on surrounding traffic, but also significantly improve construction efficiency and safety. By reasonably setting up temporary piers and steel guide beams, the stability of the steel box girder during the pushing process has been further enhanced. The research results can be applied to similar large-span steel box girder erection projects, providing valuable technical references for future railway bridge construction.

The Application and Prospect of Big Data Technology in Library Information Management

Tianhui Zhou — Mon, 06 Jan 2025 10:37:24 +0800

Information management, as an important means of information organization, element acquisition, and utilization, is a relatively important task for libraries, directly related to the development of libraries in the future. Library information management needs to have the function of comprehensively organizing materials and extracting value elements, which can analyze user needs and achieve personalized service push based on this. Big data technology has powerful processing capabilities for data, and its application in library information management can empower information management. Given the role of big data technology in enhancing the capabilities of libraries, this article introduces its application in information management and looks forward to the future development of library information management under technological empowerment.

Design of silicon-based substrate integrated waveguide filters for high-frequency applications and Micro/Nano manufacturing technology analysis

Yiran Zhang — Mon, 06 Jan 2025 10:37:26 +0800

Silicon-based substrate integrated waveguide (SIW) filters are a new type of high-frequency filters, widely used in millimeter-wave and terahertz bands of high-frequency communication systems. This paper analyzes the design principles, micro/nano manufacturing technologies, and advantages of SIW filters in highfrequency applications. The basic concepts, electromagnetic properties, and design optimization methods of substrate integrated waveguides are discussed in detail, along with the application of micro/nano manufacturing technologies such as photolithography and electron beam lithography, which enhance the performance and miniaturization of the filters. Finally, the future development directions of novel silicon-based filters are outlined, and it is emphasized that the research of these filters will further drive the advancement of high-frequency communication technologies.

Construction and design of intelligent retrieval systems for materials databases in the big data environment

Yaran Wang, Qiaoyang Ji, Zuxiang Tan, Zhengfei Ye, Zhenyan Zhou — Mon, 06 Jan 2025 10:37:28 +0800

With the booming development of big data technology, the field of materials science is undergoing a profound transformation from traditional research paradigms to data-driven ones. As a crucial infrastructure for materials science research, the construction of materials databases and the design of intelligent retrieval systems have become hot topics in current research. This paper reviews the construction techniques of materials databases, the design and implementation of intelligent retrieval systems, and the major development trends in this field under the big data environment. Firstly, the paper introduces the importance of materials databases in the context of big data and the key technologies involved in their construction. Subsequently, it elaborates on the core algorithms, user interface design, and system performance optimization of intelligent retrieval systems. Furthermore, the paper summarizes the main achievements and progress of existing research and points out potential directions for future research. The review aims to provide valuable references and insights for researchers in the field of materials databases and intelligent retrieval systems.

Study on the influence of silicon carbide JBS active region structure on device performance

Yili Xu, LI Xin, Xiaodong Yin, Guowei Zhang, Jingyi LI, Qianqian Liu — Mon, 06 Jan 2025 10:37:30 +0800

The silicon carbide JBS active region is a key component in modern semiconductor devices, and its definition and structure are crucial to understanding the device performance. The silicon carbide SBD active region enables efficient current transmission and thermal management through precise control of the metalsemiconductor interface. The JBS diode combines the advantages of SBD and PiN diode, with low passon pressure drop characteristics and high blocking capability. To verify silicon carbide JBS diode active area structure on the influence of electrical, by changing the structure of source area short contact, to verify the positive guide and reverse blocking characteristics change, experimental validation and test results show that with the increase of the contact area is guide through the current density is bigger, the resistance is smaller, but the reverse leakage current also increases, vice versa. The structure of silicon carbide JBS active region has a significant and positive influence on the device performance, which provides an important reference for the application of silicon carbide JBS active region.

Research on the dome angle of polysilicon gate

Yili Xu, LI Xin, Xiaodong Yin, Guowei Zhang, Jingyi LI, Qianqian Liu — Mon, 06 Jan 2025 10:37:33 +0800

In this paper puts forward a kind of polysilicon gate dome Angle manufacturing method, the polysilicon gate top Angle etching corners, avoid the silicon carbide MOSFET switch process, the polysilicon gate top electric field concentration, successfully solved the current silicon carbide power MOSFET industry in the polycrystalline top Angle of reliability problems and hidden trouble. This method is simple, effective, feasible and has obvious advantages, with high process tolerance, which can provide guarantee for the products working under extreme conditions.

Design of a blockchain based medical data sharing platform

Zhang Hui, Xu Haohao — Mon, 06 Jan 2025 10:37:35 +0800

With the increasing importance of medical data sharing and collaboration, people urgently need a powerful and secure medical data platform. How to securely and completely share medical data has become the problem we need to solve. This article proposes the design of a healthcare data sharing platform that provides secure and reliable data sharing services. The platform utilizes blockchain technology and big data technology, and adopts a microservice architecture that allows for flexible and scalable operations. The data sharing platform adopts anonymization and permission control strategies to ensure that only authorized personnel can access sensitive information, ensuring the confidentiality and integrity of shared data. By utilizing cloud blockchain storage solutions, medical data can be saved and transmitted in the cloud, while also improving the operational speed of block-chain networks.

Design of personalized nutritional meal recommendation system driven by big data

Bo Pang — Mon, 06 Jan 2025 10:37:38 +0800

In the context of the continuous development of big data technology, personalized nutritional meal recommendation systems have become an important means for people to their eating habits and enhance their quality of life. The purpose of this study is to design a personalized nutritional meal recommendation system based on big data analysis to meet users healthy eating needs. The system collects and analyzes data on users’ dietary preferences, health status, and lifestyle habits to build user profiles. It then combines a food database with a nutritional needs calculation model, using improved content-based recommendation algorithms: collaborative filtering algorithm and hybrid recommendation algorithm, to provide users with personalized nutritional meal recommendations The system design is user-centered, aiming for precise recommendations and using technical means to promote healthy eating habits among the general public.

Research on the visibility of social Bias in ChatGPT’s responses and interactions

Xin Li — Mon, 06 Jan 2025 10:37:40 +0800

The article examines the phenomenon of social biases manifested by ChatGPT in its responses and assesses the impact of these biases on user experience and social perceptions. The study identifies potential sources of social bias in ChatGPT’s interactions with users, with a particular focus on gender, racial, cultural, and political biases. The study indicates that the biases exhibited by ChatGPT may originate from constraints in its training data and inherent biases in user input, which can influence the objectivity and reliability of the generated content. Furthermore, the article examines the manner in which ChatGPT’s biases are perceived and discussed by users on social media, and proposes potential solutions, including the reduction of bias through strict regulation and enhanced model training.

Study on the voltage withstand design of 4H-SiC schottky barrier diode terminal area

Yili XU, Guowei Zhang, Jingyi Li, Qianqian Liu — Mon, 06 Jan 2025 10:37:43 +0800

This study successfully designed a 4H-SiC Schottky diode. To understand the performance of the device, the forward and reverse breakdown characteristics by changing its terminal structure. By comparing the device performance under different terminal structures, a new terminal design method is found, and its experimental results successfully verify the effectiveness of this design. It is shown that the dense to sparse fieldlimiting loop structure arranged from the main junction is better than that in the terminal design. At the same time, the positive guide pass feature is almost unaffected in the terminal injection structure. This study provides a new idea for the design of the device terminals.

Effective timing synchronization scheme for DHTR UWB receivers

Huang Taijung — Mon, 06 Jan 2025 10:37:45 +0800

Ultrawideband (UWB) wireless communication systems are ideally suited to short-distance and highdata-rate wireless communications. UWB systems have a low average transmission power, and therefore ensure a fixed synchronization error between the transmitted and received ends. In order to reduce multipathinterference, UWB systems are generally implemented using Rake receivers, for which the delay time and attenuated amount of each transmitted route must be known in advance. In the present study, the complexity of Rake receivers with a large number (e.g., >10) of“fingers” is reduced by using the delay-hopped transmitted-reference (DHTR) method, which correlates the delayed signal with the original signal,and therefore avoids the need for a template signal. The synchronization performance of the proposed DHTR receiver is analyzed both theoretically and by means of numerical simulations. An effective timing synchronization scheme, designatedas “parallel signal acquisition with shared looped delay-line” (PS-SLD), is then proposed. The simulation results show that the proposed synchronization scheme achieves a higher detection probability and a lower normalized MSE than the traditional timing dirty template (TDT) algorithm in multipath environments with a single user.

Analysis of the impact of distributed generation on power system scheduling

Zhendan Wang, Shuming Zhang — Mon, 06 Jan 2025 10:37:48 +0800

Against the backdrop of energy transformation, the rapid progress of distributed energy technology has led to an increasing proportion of its application in the power network, which has had a profound impact on the traditional power grid dispatch mode. This article provides a brief introduction to the basic concepts and characteristics of distributed energy, and explores the various impacts of distributed energy on power grid flow distribution, voltage stability, system security, and scheduling decisions. Measures have been proposed to optimize the power flow calculation model, implement comprehensive optimization and control of voltage, enhance system stability, and introduce intelligent scheduling methods. These measures aim to effectively address the challenges brought by distributed energy, enhance the flexibility and operational efficiency of power grid scheduling, and promote the deep integration of distributed energy and the power grid.

Artificial intelligence in smart manufacturing: Technologies, challenges, and solutions

Chuanyuan Tan — Mon, 06 Jan 2025 10:37:51 +0800

The integration of Artificial Intelligence (AI) into smart manufacturing is a pivotal development in the evolution of the industry. This paper explores the technologies, challenges, and solutions associated with AI’s role in enhancing manufacturing processes. It highlights how AI, through machine learning and data analytics, robotics and automation, and predictive maintenance and optimization, is transforming traditional manufacturing into a more efficient, adaptive, and intelligent system. The paper identifies key challenges, including the complexity of integrating AI with legacy systems, ensuring data security, and addressing the skills gap. Proposed solutions encompass innovative integration strategies, enhanced data security measures, and talent development programs. The conclusion emphasizes the necessity for the manufacturing sector to embrace AI to achieve operational excellence and remain competitive in the global market. The future of smart manufacturing lies in the successful implementation of AI technologies, which will drive innovation and redefine production standards.

Application of high temperature semiconductor material silicon carbide in MEMS

Yili Xu — Mon, 06 Jan 2025 10:37:54 +0800

Silicon carbide high thermal conductivity, high breakdown voltage and other characteristics are significant, not only can promote the device power density and reliability improvement, but also to ensure that the production of power electronic devices to strengthen the voltage resistance, enhance the stability of the system. Because of this material property, we have found in practice that silicon carbide is not only used to manufacture power devices, but also can play a significant role in the field of micro-electromechanical. In order to solve the problems of thermal expansion and corrosion of traditional silicon-based sensors, researchers are strengthening the use of silicon carbide. This paper focuses on the high temperature semiconductor material silicon carbide, combined with the characteristics of silicon carbide, and focuses on the analysis of its application in MEMS.

Research on the dual middle platform architecture of enterprise integrated infrastructure foundation

Huagang Shan, Jiexin Zhou, Zhang Qin, Depin Peng, Wenhai Huang, Shidong Li — Mon, 06 Jan 2025 10:37:57 +0800

This study delves into the dual-core architecture of an integrated infrastructure foundation for the digital transformation needs of enterprises. Through a literature review, it sorts out the current research status of enterprise architecture theory, dual-core architecture, and integrated infrastructure foundation. It then constructs an integrated foundation, data platform, technology platform, and organizational platform, explaining their respective functions and collaborative mechanisms. The research indicates that the dual-core architecture can enhance the reusability of enterprise business capabilities, reduce application complexity, and provide strong support for the digital transformation and intelligent upgrading of enterprises.

Deep integration of computer artificial intelligence and natural language processing

Wang sen — Mon, 06 Jan 2025 10:37:59 +0800

The development and technological evolution of artificial intelligence (AI) have laid a crucial foundation for natural language processing (NLP) technology. Through innovations in deep learning and largescale pre-trained models, the language understanding and generation capabilities of AI have significantly improved. This paper analyzes in detail the core NLP technologies, such as speech recognition, word embeddings, semantic analysis, and the applications of generative models. By integrating deep learning with NLP, models have demonstrated exceptional performance in tasks like speech recognition and text generation, further promoting the application of multimodal learning in NLP. Multimodal learning, by combining text, images, and audio, enhances the system’s understanding and generalization capabilities.

Research on the automation of rebar fabrication and installation based on BIM technology

Pengkai Zhou — Mon, 06 Jan 2025 10:38:01 +0800

This paper explores the automation of rebar fabrication and installation using Building Information Modeling (BIM) technology. Traditional rebar design and installation processes are time-consuming and errorprone, causing inefficiencies in construction. The use of BIM technology enables automated design, fabrication, and installation workflows for rebar systems, leading to improved accuracy, reduced costs, and enhanced productivity. This paper presents a systematic review of BIM’s application in rebar fabrication and installation, outlines the process of automating these tasks, and discusses case studies to evaluate the benefits of BIM in realworld applications.

Study on the stability of cement silo foundation under wind-induced vibration

Zhang Ning — Mon, 06 Jan 2025 10:38:03 +0800

With the rapid development of industrial buildings, the stability of cement silos, as an important storage facility, has attracted increasing attention. Wind-induced vibration is one of the main factors affecting the stability of silo. The purpose of this paper is to study the influence of wind-induced vibration on the stability of cement silo foundation. Through theoretical analysis, numerical simulation and field monitoring, the influence mechanism of wind-induced vibration on the stability of silo foundation is discussed, and the corresponding reinforcement measures are put forward. The results show that wind-induced vibration has a significant effect on the stability of the silo foundation, and reasonable reinforcement measures can effectively improve the stability of the silo.

Research on hoisting technology and its applications

Liu Tianqing — Mon, 06 Jan 2025 10:38:05 +0800

This paper systematically studies hoisting technology, exploring its fundamental principles, application areas, key technologies, and future development trends. Through comparative analysis of different hoisting equipment, it emphasizes the importance of safety, efficiency, and economy in hoisting operations. Additionally, by examining practical cases, it analyzes common problems in the hoisting process and their solutions, providing a reference for industry practices. The research indicates that with continuous technological advancement, the development of hoisting technology in terms of intelligence and automation will bring higher safety and efficiency to future engineering construction.

Research on age-appropriate interface design based on affective computing

Yangchun Shi — Mon, 06 Jan 2025 10:38:07 +0800

With the advent of an aging society, age-appropriate interface design has become the key to improving the quality of life of the elderly. Age-appropriate interface design based on affective computing aims to understand and respond to the emotional needs of the elderly through technical means, thereby providing a more humanized interactive experience. This paper first defines the concept of affective computing and outlines the characteristics of age-appropriate interface design. Then, it discusses in detail key methods such as user emotional need analysis, construction of emotional interaction models, emotional design of interface elements, and design of emotional feedback mechanisms. The research results show that age-appropriate interface design incorporating affective computing can significantly improve the satisfaction and operational convenience of the elderly

Research on artificial intelligence-driven internet payment risk control system

Jiaxin Zheng — Mon, 06 Jan 2025 10:38:13 +0800

With the popularization of digital payment, the importance of Internet payment risk management has become more and more significant. This paper begins with the principles and challenges of traditional Internet payment risk control systems and analyzes the limitations of existing systems in dealing with new payment frauds. Traditional methods rely on rules and pattern recognition, while emerging fraud technologies and complex financial environments have made these methods much less effective. The article further explores the application of AI technologies in risk control systems, especially how machine learning and deep learning can effectively improve the accuracy and efficiency of risk control. Through case studies, it demonstrates the process of AI wind control system in actual deployment and its significant advantages in detecting fraud and reducing the misjudgment rate. Finally, the article discusses the future development direction and potential application areas of AI risk control systems, pointing out their significant value in improving risk management capabilities and shortening response time.

Research on power system dual-cycle coupling evaluation based on entropy Weight -TOPSIS algorithm

Chang Hao, Ye Lu, Jiao Xiao, Huang Lu, Haoming Wu, Donghai Yu, Liu Geng, Sun Qi — Mon, 06 Jan 2025 10:38:16 +0800

With the development of the new energy industry, all walks of life have higher and higher requirements for the quality of the power grid, and the operation of the power system in different regions is different under the influence of many factors. In order to conduct a preliminary assessment of the operation of the power system by synthesizing various impact factors, the “Entropy-TOPSIS multi-objective evaluation model” was adopted to analyze and evaluate the relevant impact factors of six provinces in China (labeled U, V, W, X, Y, Z, respectively).The T-values of each province wereobtained, and preliminary conclusions were drawn as follows: The four provinces of U, W, Y and Z belong to the “good coordination”, the province of X belongs to the “good coordination”, and the province of V belongs to the “slight imbalance”. However, due to the errors of the index systemand model theory, the accuracy of the results needs to be further improved. In the future, double-cycle coupling can be extended to multi-cycle coupling, and related problems can be further studied.

Leveraging artificial intelligence for enhancing equity in higher education

Yang Yang, Meng Qiao — Mon, 06 Jan 2025 10:38:18 +0800

This study examines the role of artificial intelligence (AI) in promoting educational equity in higher education by optimizing resource allocation and supporting personalized learning. AI’s data-driven capabilities enable efficient management of financial, material, and human resources, addressing disparities in access and support. The study highlights AI’s potential in creating adaptive systems that improve learning outcomes while ensuring fairness. Challenges such as data quality and ethical concerns are also discussed, emphasizing the need for robust policies. Recommendations for policymakers and educational practitioners are provided to enhance equitable development in higher education.

Application and challenge analysis of deep learning in malicious software detection

Linxi Wang — Mon, 06 Jan 2025 10:38:21 +0800

Deep learning has become a critical tool in detecting malware, offering advanced techniques such as automated feature learning and behavioral analysis. Its ability to handle large datasets and detect sophisticated threats makes it highly effective, especially in scenarios where traditional methods fail. However, challenges remain, including data imbalance, computational demands, and vulnerability to adversarial attacks. Hybrid models, adversarial training, and explainability solutions are being explored to address these limitations. With continued advancements in model efficiency and transparency, deep learning’s role in cybersecurity will become increasingly practical and robust, providing a more adaptive approach to malware detection.

The discussion on the interface characteristics and control mechanisms of high-mobility semiconductor materials

Hongyu Yao, Yang Li, Yuanjia Guo, Chao Su, Zijuan Liang — Mon, 06 Jan 2025 10:38:23 +0800

High-mobility semiconductor materials are of significant importance in modern electronic devices, but their interface characteristics have a substantial impact on overall performance. This paper discusses the interface characteristics and control mechanisms of high-mobility semiconductor materials, systematically explaining the factors influencing material mobility through the analysis of different material structures, physical and chemical control methods, and the impact of process optimization on interface properties. Research results indicate that rational electric field control, chemical doping, and process treatment can effectively improve interface quality, thereby enhancing device performance. The conclusion points out that optimizing interface characteristics is key to improving the application prospects of high-mobility semiconductor materials.

Research and application of precision machining technology in mechanical design and manufacturing and its automation

Jingye Chen — Mon, 06 Jan 2025 10:38:25 +0800

This paper deeply discusses the current situation, key technology, practical application and future development trend of precision machining technology in the field of mechanical design and manufacturing and automation. Precision machining technology, as the core means to improve product quality and production efficiency, has shown irreplaceable value in high-end equipment manufacturing, aerospace, electronic information and other key fields. This paper not only analyzes the basic principle and unique process characteristics of precision machining technology, but also reveals its far-reaching influence and significance on the mechanical design and manufacturing industry through detailed application cases of automatic production line. On this basis, this paper further looks into the future development direction of precision machining technology, aiming to provide useful reference and inspiration for researchers and engineers in related fields, and jointly promote the continuous progress and innovative development in the field of mechanical design, manufacturing and automation.

Key process points and quality assurance measures for whole machine painting

ZiLong Zhao — Mon, 06 Jan 2025 10:38:28 +0800

As a key step in surface treatment of mechanical equipment, the process quality of whole machine painting directly affects the appearance beauty, weather resistance, and anti-corrosion performance of the product. In the process of whole machine painting, the level of craftsmanship and quality assurance work affect the overall work efficiency. However, there are shortcomings in the previous whole machine painting technology and quality assurance work, and practical improvements are needed. Based on this, this article aims to explore the key process points of whole machine painting and propose effective quality assurance measures to ensure the efficiency, precision, and reliability of painting operations, and enhance the market competitiveness of the final product.