Cutting performance and wear mechanisms of TiAlN PVD-coated cemented carbide tool in high speed turning of Ti-5Al-2Sn-2Zr-4Mo-4Cr alloy

Baolin Wang,Anhai Li,Gaihua Liu 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.7

The high-speed finish turning tests of Ti-17 titanium alloy (Ti-5Al-2Sn-2Zr-4Mo-4Cr) were carried out by using PVD cemented carbide tools with TiAlN coating. The machinability behaviors in terms of cutting forces, cutting temperatures, surface roughness, and tool service life were measured and evaluated under different machining parameter conditions, and the empirical prediction model of these variables were established depending on the cutting parameters. Incorporating the measured results of scanning electron microscopy (SEM) as well as energy dispersive spectroscopy (EDS), the initial tool wear patterns and the eventual wear patterns when the tool wear states meet the failure criteria were comparably investigated and analyzed. It was found that during the initial wear stage, the sticking wear zone and the sliding wear zone can be distinguished on the tool wear interface. The main wear patterns of are peeling off of coating material, crater wear of rake face, edge breakage and edge wear of tool tip after reaching the tool failure rejection criterion. The cutting tool wear mechanisms were systematically studied, and the results show that the wear mechanisms of a TiAlN PVD-coated carbide cutting tool in turning Ti-17 titanium alloy were dominated by the interaction wear effect among the adhesion, oxidation and diffusion between cemented carbide substrate and workpiece material.

An Energy Entropy-Based Minimum Power Cost Multipath Routing in MANET

Baolin Sun,Muyao Lu,Kun Xiao,Ying Song,Chao Gui 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2

Mobile Ad hoc Networks (MANETs) are non-infrastructure networks consisting of mobile nodes. Since the mobile nodes have limited battery power, they are very important to using energy efficiently in MANETs. In order to maximize the lifetime of MANET, traffic should be sent via a route that can avoid nodes with low energy while minimizing the total transmission power. This paper proposes an Energy Entropy-based minimum Power cost Multipath routing algorithm in MANET (EEPMM). It is typically proposed to increase the reliability of data transmission or to provide load balancing. In simulation experiments, we compare EEPMM routing protocol with SHM and MEA-DSR routing protocol, in terms of the network lifetime, and the energy consumption when a packet is transmitted. The performance results indicate that the proposed scheme is quite adaptive for energy-efficient communication in MANETs.

Network Coding-based Maximum Lifetime Algorithm for Sliding Window in WSNs

( Baolin Sun ),( Chao Gui ),( Ying Song ),( Hua Chen ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.3

Network coding (NC) is a promising technology that can improve available bandwidth and packet throughput in wireless sensor networks (WSNs). Sliding window is an improved technology of NC, which is a supplement of TCP/IP technology and can improve data throughput and network lifetime on WSNs. This paper proposes a network coding-based maximum lifetime algorithm for sliding window in WSNs (NC-MLSW) which improves the throughput and network lifetime in WSN. The packets on the source node are sent on the WSNs. The intermediate node encodes the received original packet and forwards the newly encoded packet to the next node. Finally, the destination node decodes the received encoded data packet and recovers the original packet. The performance of the NC-MLSWalgorithm is studied using NS2 simulation software and the network packet throughput, network lifetime and data packet loss rate were evaluated. The simulations experiment results show that the NC-MLSW algorithm can obviously improve the network packet throughput and network lifetime.

ZnFe2O4/Graphite Composite with High Performance as Anode Material for Lithium-Ion Batteries

Baolin Yao,Ziyue Wang,Chenxi Ding,Min Feng,Zhen Li,Yanqiu Huang 대한금속·재료학회 2023 ELECTRONIC MATERIALS LETTERS Vol.19 No.1

ZnFe 2 O 4 /graphite composite was synthesized by a thermal decomposition method using expanded graphite as matrix. TheZnFe 2 O 4 nanoparticles with the size of 20–30 nm were embedded into the interlayers of graphite. The porous structureformed by the graphite sheets can not only alleviate the adverse eff ects caused by the volume change of the ZnFe 2 O 4 duringcycling, but also improve the lithium storage performance. The specifi c capacity of 1450 mAh g − 1 is achieved after150 charge/discharge cycles at 0.1 A g − 1 . Moreover, the composite still delivers the specifi c capacity of 229 mAh g − 1 atthe ultrahigh current density of 10 A g − 1 after 1800 cycles, showing outstanding electrochemical performance and excellentcycling stability. The composite has great potential for use in the high-power lithium-ion batteries.

Network Coding-Based Priority-Packet Scheduler Multipath Routing in MANET using Fuzzy Controllers

Baolin Sun,Xiaocheng Lu,Chao Gui,Min Luo 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.2

TOWARD A PRACTICAL INSIGHT INTO AVATAR CUSTOMER JOURNEY DESIGN IN THE METAVERSE TOURISM WORLD

Baolin Deng,Ipkin Anthony Wong,Hongbo Liu 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07

Metaverse tourism is blurring the boundaries between the virtual and physical worlds. Among the core technologies in the metaverse world (e.g., Avatar, Virtual reality, Augmented reality, NFTs, etc.), the avatar has the potential power to revolutionise customer experience. Destination management organisation (DMO) can boost customers’ immersion through effective avatar customer journey design (ACJD) in the metaverse world. Yet, there is a lack understanding of how practitioners view an effective ACJD in the metaverse world. This study aims to explore the role of avatars on customer journey design in a metaverse tourism program (e.g., Dunhuang) from practitioners’ perspectives through a qualitative study. This study advances theoretical understanding about metaverse tourism in the tourism literature, and provides important implications for tourism industry on how to design tourist experiences in metaverse tourism.

Stable Clusterhead Selection Algorithm for Ad Hoc Networks

Sun Baolin,Chao Gui,Ying Song,Chengsong Hu 보안공학연구지원센터 2013 International Journal of Future Generation Communi Vol.6 No.3

A QoS Multicast Routing Optimization Algorithm Based on Genetic Algorithm

Sun Baolin,Li Layuan The Korea Institute of Information and Commucation 2006 Journal of communications and networks Vol.8 No.1

Most of the multimedia applications require strict quality of service (QoS) guarantee during the communication between a single source and multiple destinations. This gives rise to the need for an efficient QoS multicast routing strategy. Determination of such QoS-based optimal multicast routes basically leads to a multi-objective optimization problem, which is computationally intractable in polynomial time due to the uncertainty of resources in Internet. This paper describes a network model for researching the routing problem and proposes a new multicast tree selection algorithm based on genetic algorithms to simultaneously optimize multiple QoS parameters. The paper mainly presents a QoS multicast routing algorithm based on genetic algorithm (QMRGA). The QMRGA can also optimize the network resources such as bandwidth and delay, and can converge to the optimal or near-optimal solution within few iterations, even for the networks environment with uncertain parameters. The incremental rate of computational cost can close to polynomial and is less than exponential rate. The performance measures of the QMRGA are evaluated using simulations. The simulation results show that this approach has fast convergence speed and high reliability. It can meet the real-time requirement in multimedia communication networks.

Energy Efficient with Network Coding Multipath Routing Algorithm in Wireless Sensor Networks

Chao Gui,Hua Chen,Baolin Sun,Ying Song 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.6

Network coding is a new paradigm in data transport and promises to change many aspects of wireless sensor network (WSN). Thanks to the recently developed network coding techniques, a high-throughput low-complexity hierarchical protocol can be facilitated due to the multiple-source relay-based data transmissions built on the network coding schemes, especially for the data communications between the source node and destination node. In this paper, we propose an Energy efficient that carefully couples Network coding and Multipath routing algorithm in Wireless Sensor Networks (ENM-WSN). Through an analytical study, we provide guidance on how to choose parameters in our scheme and demonstrate that the scheme is efficient in both multipath and energy consumption. We also present an algorithm for deciding the network coding scheme for a node to further reduce energy consumption by minimizing redundant packet transmissions. Simulation results show that, with the proposed energy efficient with network coding in WSN multipath routing protocol (ENM-WSN), energy consumption, packet delivery ratio, and network lifetime can be improved in most of cases. It is an available approach to multipath routing decision.

Adaptive Neural Network Model-based Event-triggered Attitude Tracking Control for Spacecraft

Hongyi Xie,Baolin Wu,Weixing Liu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.1

This article investigates the problem of attitude tracking control for spacecraft with limited communication, unknown system parameters, and external disturbances. An adaptive control scheme with an event-triggeredmechanism (ETM) is proposed to alleviate the communication burden. Radial Basis Function Neural Network(RBFNN) estimation model is developed to provide the input signals for the control module in this control scheme. Estimated attitude information of the spacecraft generated from the estimation model will only be transmitted tothe control module at the instants when the ETM is violated. The neural network (NN) and the estimation modelwill be updated complying with an adaptive algorithm at the discrete triggering instants. It’s substantiated that allthe errors of attitude tracking converge towards corresponding residuals and there are no accumulated triggeringinstants. Numerical simulation also demonstrates the effectiveness of the proposed control method.