Article
Nanoscience & Nanotechnology
Xiaowen Sun, Yuefeng Wang, Dongyun Sun, Xin Jia, Ting Zhao, Fucheng Zhang, Tiansheng Wang
Summary: In this study, the microstructure and mechanical properties of Si-H13 nanobainite steel subjected to multi-tempering processes were investigated. The results showed that multi-tempering increased the yield strength and led to secondary hardening due to precipitation strengthening. However, the increase in thickness of bainitic ferrite laths was minimal.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
Hengnan Ding, Tian Liu, Jiabo Wei, Leli Chen, Fuyang Cao, Baosen Zhang, Rui Luo, Xiaonong Cheng
Summary: In this study, a modified H13 steel (CXN03 steel) with additional tungsten, molybdenum, and lowering chromium was prepared to improve the tempering softening resistance (TSR) of hot work die steels. The results showed that CXN03 steel exhibited significantly better TSR compared to H13 steel, mainly due to the excellent stability of dispersive nano-sized M2C. Recrystallization softening was observed in H13 steel but not in CXN03 steel.
MATERIALS & DESIGN
(2022)
Review
Materials Science, Multidisciplinary
Yajing Zhang, Rui Yuan, Jianhua Yang, Daheng Xiao, Deng Luo, Wenhao Zhou, Chende Tuo, Huibin Wu, Gang Niu
Summary: This study assessed the effects of different tempering temperatures on the corrosion resistance of low alloy steel in a wet atmosphere. The results showed that defects and high angle grain boundaries were preferentially corroded. The tempering temperature influenced the distribution of grain boundaries and the corrosion resistance depended on the matrix in the later stage of corrosion.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Optics
Chao Meng, Rui Cao, Jingyue Li, Fuyang Geng, Yuwei Zhang, Chun Wu, Xuelei Wang, Weibin Zhuang
Summary: The bionic laser surface treatment on H13 steel can significantly improve its service life. The microstructure and microhardness of the laser alloying zone of H13 steel were refined and increased with increasing TiC fraction. Tensile strength gradually increased with higher TiC fraction, while wear resistance showed an initially increasing and then decreasing trend.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Engineering, Mechanical
Ashish Kumar, Manpreet Kaur, Alphonsa Joseph, Ghanshyam Jhala, Tarun Nanda, Surinder Singh
Summary: This research studied the wear and friction performance of H13 die steel after plasma nitriding with different gas mixtures. The results showed that plasma nitriding with a N2:H2 ratio of 20:80 improved the wear behavior of H13 steel.
Article
Nanoscience & Nanotechnology
Hengnan Ding, Xiaonong Cheng, Tian Liu, Fuyang Cao, Leli Chen, Rui Luo, Yuanxiang Zhang, Baosen Zhang
Summary: This study focuses on the improved high-temperature strength and mechanical properties of hot work die steels using modified SF01 steel. The modified SF01 steel exhibits higher yield strength and lower elongation compared to conventional H13 steel over a wide temperature range. The microstructural characteristics are correlated with the yield strength, and the unsatisfactory toughness of SF01 steel is attributed to the presence of VC.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Metallurgy & Metallurgical Engineering
Hao Feng, Hai-Jian Wang, Hua-Bing Li, Wei-Chao Jiao, Hong-Chun Zhu, Shu-Cai Zhang, Zhou-Hua Jiang
Summary: This study evaluates the microstructural evolution of H13 hot-work die steel during isothermal tempering and constructs kinetic equations and a neural network to describe the softening behavior. The results show that softening occurs with increasing tempering temperature and time, attributed to the decomposition of martensitic laths, dislocation annihilation and rearrangement, sub-grain formation, and precipitation and coarsening of secondary carbides. The study also compares different models and finds the Johnson-Mehl-Avrami model to be the most suitable for precipitation evolution and hardness prediction.
STEEL RESEARCH INTERNATIONAL
(2023)
Article
Materials Science, Multidisciplinary
Shu-Qing Kou, Jun-Nan Dai, Wen-Xin Wang, Chun-Kai Zhang, Si-Yu Wang, Tai-Yu Li, Fang Chang
Summary: In this study, strengthened H13 steels with dual-phase TiC + TiB2 nanoparticles were prepared using in situ nanoparticle/Al master alloys at room temperature, resulting in improved microstructure, mechanical properties, and wear resistance. The H13 steel with 0.02 wt.% dual-phase TiC + TiB2 showed higher strength, toughness, and reduced wear rate compared to H13 steel with single-phase TiC. The use of trace nanoparticles to refine microstructure and enhance toughness and wear resistance in tool steel presents significant potential for industrial applications.
Article
Materials Science, Multidisciplinary
Ridvan Gecu
Summary: AISI H13 hot work tool steels exhibit increased hardness and improved wear resistance after cryogenic treatment and tempering processes. The martensite morphology changes and carbides form during tempering. Surface analysis reveals that delamination and abrasion occur predominantly during sliding.
MATERIALS CHEMISTRY AND PHYSICS
(2022)
Article
Materials Science, Multidisciplinary
Jinzhe Jiang, Yue Liu, Chunming Liu
Summary: The effect of tempering temperature on the microstructure, mechanical properties, and abrasive wear behavior of TBM cutter ring was systematically studied. It was found that tempering temperature controlled hardness and toughness by adjusting the amount of precipitates and austenite transformation. Excellent mechanical properties were obtained upon tempering at 520 degrees C. The wear resistance of DB3 steel was mainly controlled by hardness under non-impact abrasive wear condition. However, under the condition of impact abrasive wear, the wear resistance was affected by both hardness and toughness, and within a certain range of toughness, wear resistance increased with increasing hardness.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Engineering, Mechanical
Yanjiang Wang, Zhi Jia, Jinjin Ji, Baolin Wei, Yabo Heng, Dexue Liu
Summary: This paper uses field extrusion and finite element simulation to study the wear mechanism and surface quality issues of the die during the extrusion of pure nickel N6. The study found that the wear mechanism of the die varies at different positions, mainly including oxidative wear, abrasive wear, and adhesive wear. A gradually thinning oxide layer is formed from the inlet to the outlet surface, with the greatest wear occurring at the exit of the bearing.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Materials Science, Multidisciplinary
Palani Karthikeyan, Sumit Pramanik
Summary: In this study, H13 tool steels were subjected to thermal shock fatigue cycles and then underwent an enhancement heat-treatment process. The properties of the specimens were characterized before and after the treatment. Superior mechanical properties were obtained at 10,000 cycles of thermal shock, with minimal crack initiation. After the enhancement heat-treatment process, the mechanical properties of the specimens significantly recovered. This study is important for failure prediction and cost reduction in die-casting components.
Article
Chemistry, Physical
Chengqi Lu, Zhenyu Chen, Yuqing Yan, Yuhao Zhuo, Chuanyang Wang, Qingbo Jia
Summary: This study comprehensively investigates the high-temperature wear performance of a TiC/H13 composite coating prepared by laser metal deposition (LMD). The results show that the fabricated composite coating exhibits superior hardness, attributed to the refined martensite size, uniform distribution of TiC ceramic particles, and their bonding with the matrix. Compared to other materials, the LMD-prepared TiC/H13 composite coating demonstrates outstanding wear resistance, mainly due to its high thermal stability and the load-transferring effect caused by the introduced TiC ceramic particles. This research provides insights for the design and application of high-temperature wear-resistant coating materials in the highly demanding mold industry.
Article
Materials Science, Multidisciplinary
Wenting Wei, Jinzhe Ke, Zheng Liu, Guocheng Liu, Qinglong Liu, Dongsheng Qian, Lin Hua
Summary: This study investigates the influence of different tempering conditions on the fretting wear performance of M50 steel, finding that the tempering temperature affects wear behavior through martensite, retained austenite, and carbide transformations. The optimal fretting wear performance of M50 steel is achieved at 550 degrees C tempering.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Chengkuan Ma, Guodong Deng, Zhonghao Sun, Tianxiang Zheng, Zhe Shen, Biao Ding, Chunmei Liu, Yifeng Guo, Qiang Li, Yunbo Zhong
Summary: This study investigated the effects of transverse static magnetic field (TSMF) with varied magnetic flux density (MFD) on the cleanliness and microstructure of laboratory scale electroslag remelted H13 die steel. The results showed that the number and size of inclusions in H13 electroslag remelted ingots decreased as the MFD of applied TSMF increased, due to the thinner liquid melting film, smaller droplets, and shallower metal molten pool produced by the TSMF, which facilitated inclusion migration and removal.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Multidisciplinary
Limin Chen, Vishal Jagota, Ajit Kumar
Summary: This study proposes a university social science research performance evaluation model based on BP neural network, which shows high efficiency, strong operability, and high accuracy. The BP neural network model performs well in evaluating and optimizing the performance of social science research in colleges and universities.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Tarun Kumar Lohani, Melkamu Teshome Ayana, Abdella Kemal Mohammed, Mohammad Shabaz, Gaurav Dhiman, Vishal Jagota
Summary: Gaya, the holy city of Hindus, Buddhists and Jains, is experiencing a severe shortage of potable water. Despite the presence of water bodies, they are unable to meet the needs of the population. The illegal pumping of groundwater has worsened the situation and caused socio-economic issues.
WORLD JOURNAL OF ENGINEERING
(2023)
Article
Computer Science, Software Engineering
Shuguang Zhang, Kode Srividya, Ismail Kakaravada, Dimitrios A. Karras, Vishal Jagota, Inamul Hasan, Abdul Wahab Rahmani
Summary: This study proposes a global optimization algorithm for intelligent electromechanical control system with improved filling function, which enhances the speed and efficiency of solving multiextremum global problems. By combining intelligent management system and filling function procedure, the algorithm avoids the local optimal solution and finds a better solution.
SCIENTIFIC PROGRAMMING
(2022)
Article
Computer Science, Artificial Intelligence
Vishal Jagota, Monica Luthra, Jyoti Bhola, Ashutosh Sharma, Mohammad Shabaz
Summary: A novel secure energy-aware game theory (SEGaT) method has been proposed for better coordination in wireless sensor actor networks. The method selects a number of actors and their approach, best team of sensors for each actor, and a reliable node within that team to achieve efficient energy usage and high packet delivery ratio.
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH
(2022)
Review
Food Science & Technology
Abha Singh, Gayatri Vaidya, Vishal Jagota, Daniel Amoako Darko, Ravindra Kumar Agarwal, Sandip Debnath, Erich Potrich
Summary: Agriculture plays a crucial role in sustainable development, and sustainable agriculture requires ensuring food security while maintaining economic viability, social responsibility, and minimal impact on biodiversity and ecosystems. Deep learning technology has been increasingly applied in food science and engineering, addressing food recognition, quality detection, supply chain, and contamination issues. Artificial intelligence is particularly important in precision agriculture for estimating food quality, especially at different stages of crop harvest. This paper focuses on the application of convolutional neural networks in detecting and predicting postharvest deterioration zones in stored apple fruits.
JOURNAL OF FOOD QUALITY
(2022)
Article
Food Science & Technology
Edwin Ramirez-Asis, Astha Bhanot, Vishal Jagota, B. Chandra, Md Shamim Hossain, Kumud Pant, Hashem Ali Almashaqbeh
Summary: This study investigates the potential impact of IoT-based logistic support using artificial intelligence on agriculture, and proposes recommendations for ensuring fast transportation of agricultural products to increase farmers' income and maintain crop quality.
JOURNAL OF FOOD QUALITY
(2022)
Article
Computer Science, Information Systems
S. Silvia Priscila, Abhishek Sharma, S. Vanithamani, Faiyaz Ahmad, R. Mahaveerakannan, Ali Jawad Alrubaie, Vishal Jagota, Bhupesh Kumar Singh
Summary: Due to the lack of security measures, Internet of Vehicles (IoV) systems are vulnerable to various attacks. This paper introduces an artificial intelligence-enabled access control mechanism (AI-ACM) and presents a blockchain-based Internet of Vehicles (BIoV) approach to address these security issues.
SECURITY AND COMMUNICATION NETWORKS
(2022)
Article
Mathematical & Computational Biology
Ajay S. Ladkat, Sunil L. Bangare, Vishal Jagota, Sumaya Sanober, Shehab Mohamed Beram, Kantilal Rane, Bhupesh Kumar Singh
Summary: This research presents a completely automated brain tumor segmentation method based on a mathematical model and deep neural networks. The proposed method enhances the 3D picture slices using a mathematical model, and utilizes a 3D attention U-Net for tumor segmentation. The method achieves high accuracy on the BraTS 2019 dataset.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Materials Science, Multidisciplinary
Asaf Hanief Kohli, M. Hanief, Vishal Jagota
Summary: This article explores the impact of surface hardening techniques on the mechanical and tribological properties of modified AISI H13 hot-work die steel at elevated temperature. The study finds that the combination of nitriding methods and austenitizing and tempering temperature greatly influences the material properties. Low nitriding temperature leads to corrosion issues and affects hardness. It is recommended to perform austenitizing prior to plasma nitriding to enhance the steel's resistance to thermal fatigue cracking and sliding wear.
ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES
(2023)
Article
Computer Science, Software Engineering
Wei Yao, Vishal Jagota, Rakesh Kumar, Danish Ather, Vishal Jain, Suhail Javed Quraishi, Jonathan Osei-Owusu
Summary: This study investigates an Internet of things-based elevator failure monitoring system in order to prevent elevator safety accidents. The results show that the batch size and time step have significant effects on the system accuracy, with the best performance obtained at a batch size of 20 and a time step of 24. The learning rate of 0.1 also yields the best results. This system has high research value and wide application prospects, addressing the current lack of monitoring in the elevator industry.
SCIENTIFIC PROGRAMMING
(2022)
Article
Engineering, Electrical & Electronic
Pengxiao Ji, Xuewu Li, Vishal Jagota, Guna Sekhar Sajja
Summary: An adaptive harmonic current detection method based on neural network is proposed in this paper to improve the performance of active power filter. By filtering the main current from the load current, the harmonic current is obtained, ensuring the accuracy of current detection methods.
Article
Engineering, Electrical & Electronic
Yuhua Peng, Ying Wang, R. Raffik, Vishal Jagota, Komal Kumar Bhatia, Ravi Kumar, Nithiyananthan Kannan
Summary: The rapid development of smart grid in my country is crucial for the national economy and stable life of the people. A wireless vibration sensor based on MEMS was designed by the author, which can be applied in online monitoring of power transformers.
Article
Engineering, Mechanical
Zhiyi Huo, Xinwen Luo, Qian Wang, Vishal Jagota, Malik Jawarneh, Manish Sharma
Summary: When a car is in operation, the unevenness of the road causes vibrations that can lead to discomfort and fatigue for the driver, affecting the durability and longevity of the vehicle's bearing system. This study presents a virtual reality-based framework and implementation approach for a vehicle vibration virtual test system. The system consists of VR, model, and virtual instrument subsystems. The results show that the virtual test technology can effectively create vehicle vibration systems based on VR, allowing users to monitor the vehicle's vibrations and signals in different observation modes.
NONLINEAR ENGINEERING - MODELING AND APPLICATION
(2022)
Article
Computer Science, Artificial Intelligence
Yan Zhang, Arshpreet Kaur, Vishal Jagota, Rahul Neware
Summary: In recent years, with the increasing complexity of networks and the growing capabilities of attackers, it has become crucial to properly understand and improve network security. This study proposes a method based on cloud computing for extracting information about the security situation of the network. By converting security events into a standard format and creating a general framework, the study aims to analyze and evaluate the network security situation. By utilizing the Hadoop platform for data extraction, model analysis, and learning, the study mines rules and features to assess the security risks of network nodes. Experimental results demonstrate that this method effectively enhances network security awareness and response capabilities.
JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Amarjit Singh, Manoj Kumar Sinha, Vishal Jagota, Ravi Kumar
Summary: This article demonstrates an innovative idea of converting grinding swarf into metal matrix composite (MMC). The grinding swarf produced during a specific operation was thoroughly characterized and found suitable for the powder metallurgy process. By compacting and sintering the feedstock composed of steel chips and iron oxide particles, the MMC with excellent physio-mechanical properties was synthesized.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Article
Engineering, Mechanical
Huiyi Yang, Yang Xu, Chao Xu
Summary: This study focuses on the impact of dry friction interfaces on the dynamics of jointed structures, particularly on the statistics of contact pressure distribution. Through experimental and simulation analysis, it is found that surface roughness and contact load have significant effects on contact area, contact stiffness, and mean contact pressure.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2024)
Article
Engineering, Mechanical
Guanglan Hu, Houfu Dai
Summary: The effect of metal coating on the machinability of cubic silicon carbide was investigated using molecular dynamics simulation. The results showed that the type of coating has a significant impact on cutting force, surface morphology, stress, and tool wear. Among the three metals studied, Cu coating had the greatest impact on improving cutting performance.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2024)
Article
Engineering, Mechanical
Yunfan Liu, Guozheng Ma, Lina Zhu, Cuihong Han, Zhen Li, Bin Zhang, Haichao Zhao, Haidou Wang, Shuying Chen
Summary: The service performance of coated self-lubricating spherical plain bearings can be improved by applying self-lubricating coatings, especially double-sided coatings. The presence of a large-area and complete mixed friction transfer film on the contact surfaces can cause a signal downstage before the signal mutation stage.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2024)
Article
Engineering, Mechanical
Yakup Artun, C. Oktay Azeloglu, Gokhan Taylan
Summary: This article investigates the tribological properties of polymer journal bearings, particularly focusing on radial journal bearings made from UHMWPE and POM materials with different surface qualities. The study examines the performance of these bearings under varying load and speed conditions, and analyzes the relationship between material and surface roughness in tribological performance.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2024)