Zhongping Tang, Zhengwen Feng, Peng Jin, Xisheng Fu and Hua Chen
The purpose of this paper is to identify the feature of soot in diesel engine oil and provide a method to stably disperse these soots using effect additives which is benefical for…
Abstract
Purpose
The purpose of this paper is to identify the feature of soot in diesel engine oil and provide a method to stably disperse these soots using effect additives which is benefical for lubricants to pass related engine tests.
Design/methodology/approach
This paper designed experiments to investigate the dispersant type, treat level and different dispersant interactions which influence on lubricant soot-related viscosity increase. The research work developed an effective dispersant package which can well solve the soot-related viscosity increase, allowing pass Mack T-11 and Mack T-8 engine tests and demonstrated the helpfulness of using a quickly screening method developed by a steel piston diesel engine CA 6DL2-35.
Findings
The effect of dispersant treat level on the viscosity increase of the oil samples was negligible. Dispersant booster can effectively improve the soot handling ability of heavy-duty diesel engine oils (HDDEO), and the appropriate treat level of dispersant booster can help HDDEO pass Mack T-8 and Mack T-11 engine tests.
Practical implications
The test results are useful for formulators to select the appropriate dispersants or dispersant booster to develop the HDDEO packages which can meet the modern diesel engine lubrication requirements.
Originality/value
Most previous studies in this field were carried out on soot formation mechanism and soot-related wear rather than how to solve the soot-related viscosity increasing of HDDEO. This paper describes the soot dispersing requirements of different HDDEO specifications and developed an effective dispersant package which can well deal with Mack T-11 and Mack T-8E standard engine tests soot handling ability requirements.
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Yan Xu, Yaqiu Liu, Xun Liu, Baoyu Wang, Lin Zhang and Zhengwen Nie
The purpose of this study is to address the welding demands within large steel structures by presenting a global spatial motion planning algorithm for a mobile manipulator. This…
Abstract
Purpose
The purpose of this study is to address the welding demands within large steel structures by presenting a global spatial motion planning algorithm for a mobile manipulator. This algorithm is based on an independently developed wall-climbing robot, which comprises a four-wheeled climbing mobile platform and a six-degree-of-freedom robotic manipulator, ensuring high mobility and operational flexibility.
Design/methodology/approach
A convex hull feasible domain constraint is developed for motion planning in the mobile manipulator. For extensive spatial movements, connected sequences of convex polyhedra are established between the composite robot’s initial and target states. The composite robot’s path and obstacle avoidance optimization problem are solved by constraining the control points on B-spline curves. A dynamic spatial constraint rapidlye-xploring random trees-connect (RRTC) motion planning algorithm is proposed for the manipulator, which quickly generates reference paths using spherical spatial constraints at the manipulator’s end, eliminating the need for complex nonconvex constraint modeling.
Findings
Experimental results show that the proposed motion planning algorithm achieves optimal paths that meet task constraints, significantly reducing computation times in task conditions and shortening operation times in non-task conditions.
Originality/value
The algorithm proposed in this paper holds certain application value for the realization of automated welding operations within large steel structures using mobile manipulator.
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– This paper aims to explore if there is an analogous discipline in China to diplomatics.
Abstract
Purpose
This paper aims to explore if there is an analogous discipline in China to diplomatics.
Design/methodology/approach
A comparison method is used for the exploration. Five Chinese disciplines are chosen for the comparison, which are Wenxian xue, Bianwei xue, Dangan jianbian xue, Wenshu xue and Gu wenshu xue. The diplomatics, as discussed in this paper, is modern diplomatics, as exemplified in the work of Dr Luciana Duranti.
Findings
It was found that while there is no such Chinese discipline identical to diplomatics, its knowledge is distributed among several Chinese disciplines. This indicates the common concern and efforts in the West and East and the potential for the further development of diplomatics as a global discipline.
Research limitations/implications
The disciplines this paper has examined are what this author is aware of that share certain similarities with diplomatics and the discussion is based on this author’s understanding; thus, it is possible that there are disciplines that this author did not know or the understanding is insufficient to reveal all the connections between diplomatics and these disciplines. Further research from other perspectives might be needed.
Originality/value
To the author’s best knowledge, this is the first paper in English comparing Chinese diplomatic disciplines with diplomatics. It has also shed some light on the development of several Chinese disciplines.
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Dalian Yang, Yilun Liu, Songbai Li, Jie Tao, Chi Liu and Jiuhuo Yi
The aim of this paper is to solve the problem of low accuracy of traditional fatigue crack growth (FCG) prediction methods.
Abstract
Purpose
The aim of this paper is to solve the problem of low accuracy of traditional fatigue crack growth (FCG) prediction methods.
Design/methodology/approach
The GMSVR model was proposed by combining the grey modeling (GM) and the support vector regression (SVR). Meanwhile, the GMSVR model parameter optimal selection method based on the artificial bee colony (ABC) algorithm was presented. The FCG prediction of 7075 aluminum alloy under different conditions were taken as the study objects, and the performance of the genetic algorithm, the particle swarm optimization algorithm, the n-fold cross validation and the ABC algorithm were compared and analyzed.
Findings
The results show that the speed of the ABC algorithm is the fastest and the accuracy of the ABC algorithm is the highest too. The prediction performances of the GM (1, 1) model, the SVR model and the GMSVR model were compared, the results show that the GMSVR model has the best prediction ability, it can improve the FCG prediction accuracy of 7075 aluminum alloy greatly.
Originality/value
A new prediction model is proposed for FCG combined the non-equidistant grey model and the SVR model. Aiming at the problem of the model parameters are difficult to select, the GMSVR model parameter optimization method based on the ABC algorithm was presented. the results show that the GMSVR model has better prediction ability, which increase the FCG prediction accuracy of 7075 aluminum alloy greatly.