Ting Xie, Junjie Lai and Huaping Yang
This paper aims to simulate the effect of counterface roughness on the friction transfer and wear of the polymer material sliding against steel.
Abstract
Purpose
This paper aims to simulate the effect of counterface roughness on the friction transfer and wear of the polymer material sliding against steel.
Design/methodology/approach
The dynamic process of friction transfer and wear of polytetrafluoroethylene (PTFE) sliding against steel 45 was simulated by the software of particle flow code in two dimensions and a discrete element method. The effect of the counterface roughness was considered in the simulation. The definitions of the transferred particle and worn particle were given.
Findings
The simulation results showed that a transferred particle layer was formed on the surface of steel 45 during friction. The wear rate of PTFE can be effectively reduced by the formation of the transferred particle layer. The formation and stability of this particle layer is certainly affected by the counterface roughness (Rz). In this paper, the transferred particle numbers increased with Rz increase. And so did the worn particle numbers. However, there was little effect of Rz on the wear rate of PTFE.
Originality/value
The dynamic process of the friction transfer and wear of the PTFE/ steel 45 friction pair was reproduced at the micro-level. Then, the transfer and wear were quantitatively exhibited. The relations between the transfer or wear and counterface roughness was simulated and discussed. It will be meaningful for the optimization and effective control of friction and wear of polymer/metal sliding system.
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Yupei Wu, Di Guo, Huaping Liu and Yao Huang
Automatic defect detection is a fundamental and vital topic in the research field of industrial intelligence. In this work, the authors develop a more flexible deep learning…
Abstract
Purpose
Automatic defect detection is a fundamental and vital topic in the research field of industrial intelligence. In this work, the authors develop a more flexible deep learning method for the industrial defect detection.
Design/methodology/approach
The authors propose a unified framework for detecting defects in industrial products or planar surfaces based on an end-to-end learning strategy. A lightweight deep learning architecture for blade defect detection is specifically demonstrated. In addition, a blade defect data set is collected with the dual-arm image collection system.
Findings
Numerous experiments are conducted on the collected data set, and experimental results demonstrate that the proposed system can achieve satisfactory performance over other methods. Furthermore, the data equalization operation helps for a better defect detection result.
Originality/value
An end-to-end learning framework is established for defect detection. Although the adopted fully convolutional network has been extensively used for semantic segmentation in images, to the best knowledge of the authors, it has not been used for industrial defect detection. To remedy the difficulties of blade defect detection which has been analyzed above, the authors develop a new network architecture which integrates the residue learning to perform the efficient defect detection. A dual-arm data collection platform is constructed and extensive experimental validation are conducted.
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Jinbi Yang, Choon Ling Sia, Libo Liu and Huaping Chen
Social commerce sites offer fertile ground for users to communicate product information. Given that such sites have the potential to transform the way of doing business, it is…
Abstract
Purpose
Social commerce sites offer fertile ground for users to communicate product information. Given that such sites have the potential to transform the way of doing business, it is clearly important for academics to understand user information sharing on social commerce sites. Existing research has considered motivations as core elements of user information sharing in online communities. The purpose of this paper is to advance the theoretical understanding of user information sharing by investigating differences in motivations between the different user types of social commerce sites: sellers and buyers, and the impact on social commerce.
Design/methodology/approach
The authors conducted an empirical study by analyzing data from a social commerce site in China, including panel data (n=892) and survey data (n=913).
Findings
This research showed that user type (i.e. sellers and buyers) plays an important moderating role in user information sharing: sellers exert a positive moderating effect on utilitarian and social motivations, while buyers are found to have a positive moderating effect on hedonic motivation.
Research limitations/implications
This study contributes to existing literature, not only by exploring the antecedents of user information sharing on social commerce sites from utilitarian, hedonic and social dimensions, but also by providing an evaluation of user types (i.e. sellers and buyers). The authors believe that the results of this study offer important and interesting insights for IS research and practice.
Practical implications
This study will enhance social commerce site managers’ understanding of better features for information sharing and differences in motivation between sellers and buyers. This could improve the effectiveness of encouraging strategies and help social commerce sites be more sustainable in the highly competitive contemporary environment.
Originality/value
Based on social exchange theory and motivation theory, this paper takes user types into account, and postulate that user type (i.e. sellers and buyers) plays a moderating role in the relationships between motivations (i.e. utilitarian, hedonic and social motivation) and user information sharing intention on social commerce sites.
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Min Ji, Shuhai Liu and Huaping Xiao
The purpose of this paper is to study the tribology behavior of steel–steel contact under the lubrication of water-based drilling mud with different oleic acid-filled…
Abstract
Purpose
The purpose of this paper is to study the tribology behavior of steel–steel contact under the lubrication of water-based drilling mud with different oleic acid-filled microcapsules as lubricant additives.
Design/methodology/approach
A ball-on-disc tribometer was used to evaluate the lubrication properties of the steel–steel contact. The wear tracks of the worn surfaces were observed by a scanning electron microscope.
Findings
Results show that the dependence of both friction and wear on the category of additives shares a consistent pattern. In contrast to oleic acid and empty microcapsules, oleic acid-filled microcapsules achieve the best tribological performance which is related to the lubricant effect of oleic acid and the isolation and rolling abilities of microcapsules.
Practical implications
This study provides a helpful method of encapsulated lubricant additives to prolong lubrication performance for steel–steel contact.
Originality/value
This study has applied microcapsules to improve the tribological properties of drilling mud.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2019-0320/
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Zhiqiang Yu, Qing Shi, Huaping Wang, Ning Yu, Qiang Huang and Toshio Fukuda
The purpose of this paper is to present state-of-the-art approaches for precise operation of a robotic manipulator on a macro- to micro/nanoscale.
Abstract
Purpose
The purpose of this paper is to present state-of-the-art approaches for precise operation of a robotic manipulator on a macro- to micro/nanoscale.
Design/methodology/approach
This paper first briefly discussed fundamental issues associated with precise operation of a robotic manipulator on a macro- to micro/nanoscale. Second, this paper described and compared the characteristics of basic components (i.e. mechanical parts, actuators, sensors and control algorithm) of the robotic manipulator. Specifically, commonly used mechanisms of the manipulator were classified and analyzed. In addition, intuitive meaning and applications of its actuator explained and compared in details. Moreover, related research studies on general control algorithm and visual control that are used in a robotic manipulator to achieve precise operation have also been discussed.
Findings
Remarkable achievements in dexterous mechanical design, excellent actuators, accurate perception, optimized control algorithms, etc., have been made in precise operations of a robotic manipulator. Precise operation is critical for dealing with objects which need to be manufactured, modified and assembled. The operational accuracy is directly affected by the performance of mechanical design, actuators, sensors and control algorithms. Therefore, this paper provides a categorization showing the fundamental concepts and applications of these characteristics.
Originality/value
This paper presents a categorization of the mechanical design, actuators, sensors and control algorithms of robotic manipulators in the macro- to micro/nanofield for precise operation.
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Bin Fang, Fuchun Sun, Huaping Liu and Di Guo
The purpose of this paper is to present a novel data glove which can capture the motion of the arm and hand by inertial and magnetic sensors. The proposed data glove is used to…
Abstract
Purpose
The purpose of this paper is to present a novel data glove which can capture the motion of the arm and hand by inertial and magnetic sensors. The proposed data glove is used to provide the information of the gestures and teleoperate the robotic arm-hand.
Design/methodology/approach
The data glove comprises 18 low-cost inertial and magnetic measurement units (IMMUs) which not only make up the drawbacks of traditional data glove that only captures the incomplete gesture information but also provide a novel scheme of the robotic arm-hand teleoperation. The IMMUs are compact and small enough to wear on the upper arm, forearm, palm and fingers. The calibration method is proposed to improve the accuracy of measurements of units, and the orientations of each IMMU are estimated by a two-step optimal filter. The kinematic models of the arm, hand and fingers are integrated into the entire system to capture the motion gesture. A positon algorithm is also deduced to compute the positions of fingertips. With the proposed data glove, the robotic arm-hand can be teleoperated by the human arm, palm and fingers, thus establishing a novel robotic arm-hand teleoperation scheme.
Findings
Experimental results show that the proposed data glove can accurately and fully capture the fine gesture. Using the proposed data glove as the multiple input device has also proved to be a suitable teleoperating robotic arm-hand system.
Originality/value
Integrated with 18 low-cost and miniature IMMUs, the proposed data glove can give more information of the gesture than existing devices. Meanwhile, the proposed algorithms for motion capture determine the superior results. Furthermore, the accurately captured gestures can efficiently facilitate a novel teleoperation scheme to teleoperate the robotic arm-hand.
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Shuwen Guo, Junwu Wang and Huaping Xiong
Construction projects have become increasingly long, complex and costly with waste and inefficiencies and often fail to achieve the desired results. Integrated project delivery…
Abstract
Purpose
Construction projects have become increasingly long, complex and costly with waste and inefficiencies and often fail to achieve the desired results. Integrated project delivery (IPD) is believed to change these problems. A reasonable and fair profit distribution mechanism is a critical factor for ensuring the success of the IPD projects. This study aims to investigate the strategies of all participants in the profit distribution of an IPD project with respect to the factor of the effort level.
Design/methodology/approach
This study describes the influence of owners and participants on profit distribution due to their respective efforts in the IPD project alliance. The influence of effort level on profit distribution is discussed based on the Holmstrom-Milgrom model of asymmetric information game theory and principal-agent theory, combined with incentive compatibility (IC) constraints and individual rationality (IR) constraints.
Findings
The results show that the optimal level of effort by each participant optimizes the profit distribution of an IPD project. At the same time, in the revenue incentive contract, the effort level of the participants is positively correlated with the profit distribution, proportional to their contribution coefficient and inversely proportional to the square of the cost of their creative activities in terms of effort. Each party of an IPD project can adopt a series of measures to improve their own effort level and choose the optimal level of effort based on the profit distribution, while satisfying their own utility maximization.
Originality/value
This study introduces the Holmstrom-Milgrom model in the principal-agent theory to explore the influence of the effort level on profit distribution in IPD projects. The quantitative model can contribute to establish a fair and efficient profit distribution scheme for the IPD projects.
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Zhihang He, Wei Wang, Huaping Ruan, Yanzhang Yao, Xuelong Li, Dehua Zou, Yu Yan and Shaochun Jia
Overhead high-voltage transmission line (HVTL) inspection robots are used to inspect the transmission lines and/or maintain the infrastructures of a power transmission grid. One…
Abstract
Purpose
Overhead high-voltage transmission line (HVTL) inspection robots are used to inspect the transmission lines and/or maintain the infrastructures of a power transmission grid. One of the most serious problems is that the load on the front wheel is much larger than that on the back one when the robot travels along a sloping earth wire. Thus, ongoing operation of the inspection robot mainly depends on the front wheel motor’s ability. This paper aims to extend continuous operation time of the HVTL inspection robots.
Design/methodology/approach
By introducing a traction force model, the authors have established a dynamic model of the robot with slip. The total load is evenly distributed to both wheels. According to the traction force model, the desired wheel slip is calculated to achieve the goal of load balance. A wheel slip controller was designed based on second-order sliding-mode control methodology.
Findings
This controller accomplishes the control objective, such that the actual wheel slip tracks the desired wheel slip. A simulation and experiment verify the feasibility of the load balance control system. These results indicate that the loads on both wheels are generally equal.
Originality/value
By balancing the loads on both wheels, the inspection robot can travel along the earth wire longer, improving its efficiency.
Details
Keywords
Fei Wang, Yuqiang Liu, Yahui Zhang, Yu Gao, Ling Xiao and Chengdong Wu
A robotic wheelchair system was designed to assist disabled people with disabilities to walk.
Abstract
Purpose
A robotic wheelchair system was designed to assist disabled people with disabilities to walk.
Design/methodology/approach
An anticipated sharing control strategy based on topological map is proposed in this paper, which is used to assist robotic wheelchairs to realize interactive navigation. Then, a robotic wheelchair navigation control system based on the brain-computer interface and topological map was designed and implemented.
Findings
In the field of robotic wheelchairs, the problems of poor use, narrow application range and low humanization are still not improved.
Originality/value
In the system, the topological map construction is not restricted by the environment structure, which helps to expand the scope of application; the shared control system can predict the users’ intention and replace the users’ decision to realize human-machine interactive navigation, which has higher security, robustness and comfort.
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Ying Zhang, Xing Lu and Wikrom Prombutr
The authors investigate the extent to which online talk can influence contemporaneous and future stock trading, especially when market news is unpresented.
Abstract
Purpose
The authors investigate the extent to which online talk can influence contemporaneous and future stock trading, especially when market news is unpresented.
Design/methodology/approach
The authors propose an improved sentiment formula incorporating online hype, neutral sentiment and poster reputation. In addition, they conduct event study, OLS regression analyses and probit models.
Findings
First, investors tend to be more talkative in relation to firms that are (1) smaller size, (2) more growth-like, (3) with lower prices and higher short interests and (4) of higher beta. Second, the bullish tone of investors positively affects the abnormal returns of small-capitalization stocks. However, online talk has little impact on large-capitalization stocks, except that more postings boost trading liquidity. Third, online talk predicts the presence of future news regardless of firm size, with stronger predictive power found for small-capitalization stocks.
Practical implications
It is of interest to practitioners and researchers to study online talk so as to better understand the trading psychology of retail investors and the effects on the stock market. Furthermore, policymakers are interested in tracking activities on stock message boards in order to prevent security fraud and protect investors' interests.
Originality/value
The results are robust and suggest that online talk has significant impacts on stock trading exploiting an information asymmetry. This study of stock message board posting activities helps researchers to understand whether message contents contain valuable and unique content compared with information available via more traditional media channels.