bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic load-bearing capacity analysis for the main Transmission Mechanism of Traction Machine in a Cargo Lift
Authors: Liu Qingchao , Liu Wenzhi , Wang Zhiqi 
Published: February 2021

Abstract
This paper discusses the dynamic load-bearing capacity of the main transmission mechanism of worm pair traction machine in a cargo lift. By fully considering the mass, rotational inertia and friction for transmission of the worm pair, multi-body dynamics was adopted to calculate the worm gear teeth contact force and motion characteristics. Based on the nonlinear finite element algorithm for friction-contact and combined with the dynamics computation results, the finite element calculation for the teeth contact strength and bending strength were performed. The finite element calculation results and theoretical calculation results were compared to analyze their difference. The mechanism quality was evaluated from the running stability and mechanical strength, and the evaluation results show that the main transmission mechanism of traction machine in the cargo lift has good dynamic load-bearing capacity and high safety, and meets the design requirements.
Research on the Optimization Design Method of Reliability Enhancement Test of Fiber Optic Acousto-optic Modulator Based on Fuzzy Theory
Authors: Yuan Xi , Fu Guicui , Zhang Zhongqing , Wan Bo 
Published: February 2021

Abstract
The main purpose of the reliability enhancement test is to expose the weakness of the components in order to improve the process structure design. The current domestic test standards are Accelerated stress test procedures for electric and electronic products, Guidance on the definition and application of high-acceleration tests for avionics and so on. However, these standards have relatively broad provisions on test conditions. The feasible test schemes are not unique that lead to different required test conditions and test costs. The emerging device fiber optical acousto-optic modulator is expensive and the test cost is high. How to choose an efficient enhanced test program is particularly important. Based on the fuzzy theory, an optimization design method for the enhancement test of the fiber-optic acousto-optic modulator is established in this paper. This paper takes the test cost-efficiency ratio as the optimization target, and uses the reliability estimation deviation and cost as the fuzzy evaluation index for optimizing and designing of the enhancement test plan. Finally, the feasibility of the method is verified by case analysis.
A maintenance-replacement optimization model under a renewable hybrid warranty
Authors: Shang Lijun , Si Shubin , Cai Zhiqiang , Zhu Wenjin , Zou Anquan 
Published: February 2021

Abstract
In this paper, firstly, a renewable hybrid warranty policy is proposed from the manufacturer’s perspective. By integrating the replacement depending on number of failures and preventive maintenance at the expiration of the warranty, secondly, a maintenance-replacement policy is presented from the perspective of the customer. Thirdly, the consumer’s expected cost rate model is obtained and the related special models are offered. Finally, a numerical example is used to illustrate performance of the proposed maintenance-replacement policy and to analyse sensitively. As showed in the example, performance of the proposed maintenance-replacement policy is more superior.
Reliability analysis and optimization of turbocharger turbine of marine low speed diesel engine under complex load
Authors: Lin LEI , Ming-ze DING , Hong-wei HU , Yun-xiao GAO , Hai-lin XIONG , Wei WANG 
Published: February 2021

Abstract
In this paper, aiming at the reliability analysis and optimization of jth series marine low-speed diesel engine supercharger of Chongqing JIANGZENG Shipbuilding Heavy Industry Co., Ltd., a response surface mathematical model is constructed by using 62 groups of dispersive simulation analysis data to verify the accuracy and effectiveness of the mathematical model. Based on this, Monte Carlo sampling is carried out to obtain the reliability of turbine disk is 0.943, and the reliability of turbine blade is 0.96 Reliability optimization space. Based on NSGA-II multi-objective genetic algorithm, the reliability of turbine disk and turbine blade is optimized by taking the stress value and machining cost of turbine disk and turbine blade as the objective function. The reliability of turbine disk and turbine blade is 1, the stress value of turbine blade is optimized by 4.7941%, the stress value of turbine disk is optimized by 3.0136%, the machining cost of turbine blade is optimized by 15.5087%, and the machining cost of turbine disk is optimized by 3.9907%. Finally, the results of genetic algorithm and simulation analysis are compared, the difference is less than 5%, which shows that the data based on NSGA-II multi-objective genetic algorithm has practical application reference value.
Reliability analysis of girth welds by using finite element simulations with uncertain material properties
Authors: Qian Cheng , Meng Jin Xiao , Ren Yi , Sun Bo , Feng Qiang , Yang De Zhen , Wang Zi Li 
Published: February 2021

Abstract
This research proposes a reliability simulation method combining the finite element simulation technology and stress-strength model to predict the structural reliability of girth welds with the following steps. Firstly, a group of finite element simulations of the girth welds are carried out considering uncertainties of elastic moduli in the weld and core barrel materials. Then the maximum von-Mises stresses over the welds are extracted from those simulations to generate the stress distribution. Finally through a stress-strength model, the structural reliability of the girth weld is calculated by assuming its yield strength following a Normal distribution. In addition, via the proposed method, influences factors such as temperature, pressure and the uncertainty level among the elastic modulus on the weld reliability are discussed in detail.
Comparison of software defect prediction models based on machine learning
Authors: Zhang W H , He R Y , Wu L J , Jian Y , Han X Y 
Published: February 2021

Abstract
Software defect prediction has been widely used in software system development, among which the method based on machine learning has proved to be more effective. Firstly, the basic framework of the prediction model and the metric elements used in the prediction process are introduced in this paper. Secondly, the three main machine learning-based software defect prediction models (LR, SVM, and BPNN) are analyzed, and finally the prediction effects of the three models are compared and analyzed by using the experimental results of MDP.
Numerical simulation analysis of coal rock crushed by disc cutter based on ABAQUS
Authors: Guo Z G , Wang J , Lv S , Zhang X 
Published: February 2021

Abstract
In view of the lack of research on the mechanism of disc cutter cutting coal rock during the tunnelling process of coal mine rescue tunnel equipment, the ABAQUS software was used to establish the finite element model of single disc cutter crushing coal rock, and the influence of penetration and cutting speed on the rock breaking force during the process of disc cutter crushing coal rock was analyzed. The results show that the average cutting force increases linearly with the penetration and cutting speed. The maximum vertical force of the disc cutter at a penetration of 5mm is 2.6 times that at a penetration of 2mm. The impact of the disc cutter cutting force at a penetration of 3mm is obvious. The average rolling force at a cutting speed of 0.8 rad/s is twice that of a cutting speed of 0.2 rad/s. The impact of the disc cutter cutting force at a cutting speed of 0.5rad/s is obvious. Comprehensively considering the influence of penetration and cutting speed on the average value and fluctuation range of disc cutter cutting force, choosing a moderately large penetration and a large cutting speed parameter combination will help to achieve rapid and safe coal mine emergency rescue tunnelling. The method in this paper provides a basis for the optimization of the cutterhead tunnelling parameters during coal rock cutting.
Research on evaluation and inspection of pressure relief valve
Authors: guojin Zhang , yonghang Cheng , wenjing Zhao , min Ding 
Published: February 2021

Abstract
As a pressure relief device of pressure-bearing equipment, pressure relief valve (PRV) should be inspected once a year according to the regulations, which increasingly contradicts the long-term operation of petrochemical units. In recent years, risk-based inspection (RBI) has been widely used in inspection and maintenance of petrochemical equipment. According to the RBI results and Inspection records of PRVs in various refining enterprises, the problems encountered during the prolonging the inspection cycle of PRV are summarized, which provide reasonable basis for prolonging the inspection cycle of PRV. RBI technology is applied to 5810 PRVs in an enterprise, so that nearly 80% of the PRVs achieve the purpose of delayed inspection.In addition, suggestions for improvement meatures are provided for common problems encountered during the use and inspection of PRVs.
Knowledge-Driven Software Project Management Based on IDEAL Cycle
Authors: Jialin Tan 
Published: February 2021

Abstract
In recent years, aerospace products’ development has more needs for localization, integration and intellectualization, so how to improved efficiency and reliability of software development through optimizing the management modes has become the major challenge. This paper proposes a design idea of transforming the task-driven management model to a knowledge-driven management model based on the software process improvement model(IDEAL cycle). By combining the improvement process of IDEAL cycle with the knowledge-driven management activities, it achieves a knowledge-driven software project management model based on IDEAL cycle. The practice results show that, through the implementation of the program, the software team are promoted to achieve the acquisition, storage, sharing, exchange, application and innovation of knowledge while implementing software process improvement, the process capability and core competitiveness of the team are fully enhanced. The requirements of software process improvement and the knowledge-driven design are fully taken into account in program design, and its generalized workflow engine and platform function have great promotion value and applicable to other knowledge-based enterprises.
Research on Reliability Prediction method of Complex Mechanical Product Based on Meta-action Unit
Authors: Zhang Wei , Ran Yan , Li Yu-long , Zhang Gen-bao 
Published: February 2021

Abstract
Reliability prediction of complex mechanical product is helpful to determine the reliability state of products and that how to optimize products. Traditional reliability prediction methods of complex mechanical products come from electronic products, which need a certain amount of reliability data as support. In addition, the reliability of system complex mechanical product is generally predicted by the parts or component that make up it. However, failure of one part may not cause failure of the whole product, that will affect the accuracy of reliability prediction. To solve these problems and in order to accurately predict the reliability of complex mechanical product, a methodology based on meta-action unit (MAU) which is the basic units affecting reliability is proposed in this paper. The mechanical product is decomposed into many MAUs, and the conception of “unit quality entropy” is introduced to predict the reliability index of MAU. Subsequently, according to the reliability mathematical model of complex mechanical product and MAU, the reliability is predicted by combining interval analytical hierarchy method and eigenvector method. This paper also verifies that the method is applicable and is more accurate with a case study of the reliability of spindle box.
Multi-response optimization design based on Non- parametric error-corrected method
Authors: Tingyu GAO 
Published: February 2021

Abstract
The construction of a response surface model is critical to the experimental results. Traditional model construction method is parametric method. The parametric estimates may be highly biased, and the optimal control factor settings can be miscalculated if the models are not correctly specified. To solve these problems, this paper proposes a new multi-response optimization design method, Non-parametric error-corrected method. The nonparametric method provides a very useful alternative when researchers don’t have any information about the form of underlying functions. Finally, the hybrid genetic algorithm is used to achieve global optimization aiming at the expected quality loss function the validity of the method was verified by the experimental data of the femtosecond laser micro/nano-machining.
Robust parameter design of inventory policy considering the risk preference of decision makers
Authors: Yang Ying , Tang Lina , Ma Yizhong 
Published: February 2021

Abstract
Aiming at reducing the risk in inventory management of supply chain system suffering from the influence of uncertainties, we propose a strategy to analyse the optimal inventory policy considering different risk preference of decision makers. The proposed method is a combination of the mean-conditional value-at-risk and the response surface model. From the perspective of robust optimization, the proposed method is adopted to solve the inventory control problems in a multi-echelon supply chain system, the effectiveness of the proposed method is verified in the simulation model. Furthermore, the comparison analysis between the proposed method and the dual-response surface method is conducted in this paper, and the comparison results shows the superiority of the proposed method in improving the robustness of supply chain system.
Research on aircraft taxiing path optimization based on digraph model and Dijkstra algorithm
Authors: li Lu , jiawei Gao 
Published: February 2021

Abstract
in this paper, the ground structure diagram of an Airport is taken as an example, the specific flight information is substituted, and then the directed graph model is established, and various factors are transformed into weight offspring into the directed graph, and a multi factor constrained aircraft taxiing path optimization scheme is obtained. Through the specific analysis of the influence of each factor on the selection of aircraft taxiing path and the optimization scheme of taxiing path with the corresponding weight of various factors, the Dijkstra algorithm is used to calculate the specific case, and the specific optimal path of aircraft ground taxiing is obtained. The results show that the directed graph model and the optimal path of aircraft taxiing are reasonable, which can provide some reference for the controller’s command.
A Reliability Calculation Method of Safety Device in Cars
Authors: Han Z , Li Y , Tang G C , Gou H P , Xing J Q , Jiang C X 
Published: February 2021

Abstract
Aiming at the safety accident of children mislocked in the car incurred the death, a reliability calculation method of vehicle safety device is proposed. In order to avoid the accident as far as possible, a device is used for the monitoring and alerting of living beings in the vehicle. So the device reliability becomes particularly important. In the study, the safety logic relationship of the device unit is clarified through the detailed analysis of the composition function and work flow of the device. Furthermore, this paper introduces the method of building the device reliability models, gives the equivalent models of solving the device reliability, and defines a series of solving functions of reliabilities. This paper also studies the calculation method of the reliability of the network equivalent model, that is, the calculation method of the network model decomposition method. Finally, an example of reliability calculation is given to show the effectiveness of the proposed method. The results show that the proposed method can obtain the reliability value of the device.
Influence of different Milling Process on the properties of CaTiO3-NdAlO3 Dielectric Ceramics and its Microwave Devices
Authors: Ming Zhi-mao , Zhao Ke-lun , Huang Ying-ling 
Published: February 2021

AbstractThe high performance CaTiO3-NdAlO3 dielectric ceramics were prepared with different millingprocess. The phase composition, microstructure of the CaTiO3-NdAlO3 dielectric ceramics and dielectric properties of its microwave devices were analyzed. The results indicated that CaTiO3-NdAlO3 dielectric ceramics are single-phase orthogonal perovskite-structure. The temperature drift index of the microwave resonator manufactured by CaTiO3-NdAlO3 dielectric ceramics and the assembled cavity filter are consistent with the technical requirements of microwave resonant components and cavity filters for communication base station.
Research on Inconel 690 material test data analysis method
Authors: Chenyang Song , Jingxian Ma , Ailing Du , Qiang Liu , Xiaowei Zhang , Lechang Zhan 
Published: February 2021

Abstract
The quasi-static and dynamic tensile behavior of Inconel 690 alloy are studied by universal material testing machine and split-Hopkinson bar. In this paper, seven batches of nickel-based alloy samples were tested. Through these tests, the tensile stress-strain curve and tensile stress-strain rate curve of the material and the corresponding failure parameters are obtained. The Johnson-Cook (J-C) dynamic constitutive model was used to fit the experimental data by batch and non-batch analysis methods. By comparing the fitting parameters of the two analysis methods, it is possible to obtain the fitting parameters without batches. This analysis method is more suitable for the actual situation.
Incentives in Content-Sharing Network
Authors: Xu Haimei , Cheng Yan , Yang Xiuqing , Li Zhengdong 
Published: February 2021

Abstract
In this paper, we propose that distributed network infrastructure and curation markets based on block chain can solve major problems that have caused public tragedy in traditional content sharing networks. We also illustrate how they can incentivize a distributed content sharing system to self-evolve into a value-generating and mutually-beneficial community ecosystem with a content-sharing platform Innerlight. In this system, anyone who creates valuable things to society will get a reward and the greater the contribution is, the greater the reward is.
Review of Deployable Mechanism Test Technologies Oriented Towards Deep Space Exploration
Authors: Ye Tianyuan , Chen Zhuo , Huang Shouqing , Hu Fang 
Published: February 2021

Abstract
Space deployable mechanisms refer to the mechanisms that can be folded into a compact configuration and be deployed into a large predetermined shape. With the development of deep-space exploration, deployable mechanisms become one of the best choices for the deep- space probes. Large-scale, large folding ratio, high stiffness and lightweight have become the development trend of deployable mechanisms, leading to the high demands for validation of the field test. During the design and production stage, many special tests for the mission goals and the space environment need to be carried out besides the traditional spacecraft tests. In this paper, some typical tests of deployable mechanism for deep space exploration are analysed, the scheme and the performance of the special test program are summarized, such as the low gravity simulation and the vibration test. In addition, some suggestion is also made for future test methods and technology development.
Robust parametric optimization for investment casting process of a turbine vane
Authors: Ren Xia , Huang Min , Liu Xuejun 
Published: February 2021

Abstract
Investment casting technology is an important manufacturing technology for the turbine guide vanes of the aero-engine, which directly affects the performance of the engine. However, most of the researches on the investment casting process of the vane is mainly based on the development of the materials, while the process parameters are less researched. The purpose of this paper is to perform a robust optimization for the process parameters of the investment casting of a typical vane. Firstly, a three-dimensional casting simulation model is established based on the ProCAST® software. Five key process parameters are chosen and their uncertainties are specified. A set of desired parameters are firstly obtained by conducting a deterministic optimization using a design of experiment (DOE) method. Next, a second-order response surface model (RSM) is built with Box-Behnken design based on the initial optimization results. Finally, an RSM-based robust parametric optimization with AMGA algorithm is proposed, deriving several Pareto solutions. By comparing and analyzing every solution, an optimal parameter scheme is developed by considering high quality of the casting and robustness of the casting process.
Collision risk assessment in Jiangsu section of the Yangtze River based on evidential reasoning
Authors: He An-Xin , Zhang Jin-Fen , Zhang Di , Gan Wei-Dong 
Published: February 2021

Abstract
Collision between ships is one of the dominant types of accidents in the Jiangsu section of the Yangtze River, accounting for over 60% of the accidents. An evidential reasoning (ER) approach is introduced to perform a quantitative assessment of the safety of the whole waterway by dividing it into 17 sub-sections. The Risk Influencing Factors (RIFs) including channel condition, navigation environment and navigation aids conditions are considered and further decomposed into several sub-factors. The expert knowledge is used to quantify the relative importance of the RIFs to the collision risk. The historical data is used to make the Basic Probability Assignments (BPAs) of the belief structures. The hazard index (HI) is used as a measure of collision risk. The results indicate that Kouanzhi Waters and Jiaoshan Waters carry much higher collision risk than other waters, whereas Nanjing Waters and Fanjiafan Waters have the lowest collision risk. The results are useful for the maritime safety management in the Jiangsu section of the Yangtze River.
Reliability Analysis of Wheel fatigue strength based on active learning Kriging Model
Authors: Cheng Xin , Yang Xufeng 
Published: February 2021

Abstract
The reliability analysis of fatigue strength of rail vehicle wheels is studied in this paper. On the basis of deterministic analysis, a basic model for reliability analysis of wheel fatigue strength is established by comprehensively considering many uncertain factors. A reliability analysis method based on active learning Kriging (ALK) model is introduced to solve the fatigue strength failure probability of wheels. The results of reliability analysis are verified, and the results show that the reliability analysis based on ALK model can significantly improve the efficiency on condition the accuracy is guaranteed.
Reliability Evaluation of Bogie Assembly Process Based on FMEA-FTA
Authors: Feng Zhou , Jiankai La 
Published: February 2021

Abstract
Assembly is crucial in the manufacturing of complex products, and assembly quality directly affects product quality. In order to verify the assembly reliability of high-speed train bogies, taking the drive device as a research object, the assembly reliability of the drive device was evaluated and the weak links in the assembly process were obtained based on the comprehensive analysis method of FMEA-FTA. And an assembly process visualization system was developed to realize the real-time monitoring of the assembly process and improve the reliability of the assembly process. It has certain reference significance for the reliability evaluation of assembly process of similar complex products.