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< Page ,Total 37 >
ON THE DESIGN OF CONTACT MEMBER SURFACE SHAPE OF BOLTED JOINTS TO MINIMIZE CLAMPING LOAD LOSS CPCI-S
会议论文 | 2019 | ASME Pressure Vessels and Piping Conference (PVP 2018)
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Abstract :

Metal to metal contact between joint surfaces is widely used in bolted joints to obtain a rigid and a high performance connection. However, a significant amount of clamping load is lost when the joint is subjected to mechanical and thermal loading including creep and fatigue. In practice, to prevent bolt loosening, additional parts such as spring washers, double nut, spring lock washers, Nyloc nut and so on are used. Those methods are costly and influence the stability of the joint and affect its structural integrity. It is well established that a small compression displacement in clamping parts leads to a big clamping load loss in stiff joints. This paper discusses the relationship between connection stiffness and clamping load and presents a method that improves clamping load retention during operation by a careful design of the member contact surface shape. A single bolted joint with two clamping parts is modeled using finite element method (FEM). A method is proposed to obtain a specific stiffness by an optimized geometrical shape of the joint contact surfaces. The result shows that the contact surface shape based on a gradually varying gap can improve the retention of the initial clamping load. Furthermore, a formula of the connection stiffness based on the curve fitting technique is proposed to predict residual clamping load under different external load and loosening.

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GB/T 7714 Zhu, Linbo , Hou, Yifei , Bouzid, Abdel-Hakim et al. ON THE DESIGN OF CONTACT MEMBER SURFACE SHAPE OF BOLTED JOINTS TO MINIMIZE CLAMPING LOAD LOSS [C] . 2019 .
MLA Zhu, Linbo et al. "ON THE DESIGN OF CONTACT MEMBER SURFACE SHAPE OF BOLTED JOINTS TO MINIMIZE CLAMPING LOAD LOSS" . (2019) .
APA Zhu, Linbo , Hou, Yifei , Bouzid, Abdel-Hakim , Hong, Jun . ON THE DESIGN OF CONTACT MEMBER SURFACE SHAPE OF BOLTED JOINTS TO MINIMIZE CLAMPING LOAD LOSS . (2019) .
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A surface enveloping-assisted approach on cutting edge calculation and machining process simulation for skiving EI Scopus SCIE
期刊论文 | 2019 , 100 (5-8) , 1635-1645 | International Journal of Advanced Manufacturing Technology
WoS CC Cited Count: 2 SCOPUS Cited Count: 1
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Abstract :

As a particular two degree of freedom generating method, skiving is effective to manufacture the periodically distributed internal and external profiles, and its cutting edge design is a foundational problem. In order to avoid the singularity in analytical methods, this paper studied a discrete surface assisted universal method to identify the cutting edge of skiving cutter and simulate the machining process by discrete cutting points. Firstly, the kinematic model of skiving was constructed in aspects of the parametrical modeling of the cutter and workpiece as well as the machining configuration. The principle of cutting edge identification was investigated based on the conjugation process of skiving in the following. Then, the entire procedure for cutting edge calculation was presented in detail. Therefrom, according to the profile generation during cutting action, the skiving spatial contacts were analyzed through reasonable coordinate frame transformation. At last, an external skiving for involute gear was taken, the cutting edges for two kinds of rake flank were calculated, and the machining error between the machined profile and desired profile was compared to proof the correctness of calculated cutting edges. Besides, the analysis of the spatial contact motions for these cases validated the effectiveness and the practicality of the proposed method. © 2018, Springer-Verlag London Ltd., part of Springer Nature.

Keyword :

Contact curves Cutting edges Kinematic model Machining process simulation Skiving

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GB/T 7714 Jia, Kang , Zheng, Shuai , Guo, Junkang et al. A surface enveloping-assisted approach on cutting edge calculation and machining process simulation for skiving [J]. | International Journal of Advanced Manufacturing Technology , 2019 , 100 (5-8) : 1635-1645 .
MLA Jia, Kang et al. "A surface enveloping-assisted approach on cutting edge calculation and machining process simulation for skiving" . | International Journal of Advanced Manufacturing Technology 100 . 5-8 (2019) : 1635-1645 .
APA Jia, Kang , Zheng, Shuai , Guo, Junkang , Hong, Jun . A surface enveloping-assisted approach on cutting edge calculation and machining process simulation for skiving . | International Journal of Advanced Manufacturing Technology , 2019 , 100 (5-8) , 1635-1645 .
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CONTACTLESS MEASUREMENT OF SPINDLE STIFFNESS BY USING LATERAL STATOR MAGNETIC LOADER EI CPCI-S Scopus
会议论文 | 2018 | ASME International Mechanical Engineering Congress and Exposition
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In this paper, a novel radial loading topology is proposed for various spindle test application where the space in the tool head is limited or the performance to the length is sensitive. The stator of the loading device grows in the lateral direction, allowing for a compact axial length design. Finite element analysis (FEA) is carried out and the device design is optimized for the specifications of a radial loading device for high speed spindle. Finally, the designed device were manufactured and tested. By using this magnet loader, measurement results are given and the effectiveness of the designed prototype has been verified.

Keyword :

Dummy tool High-speed spindle Lateral stator Non-contact magnetic loading

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GB/T 7714 Su, Wenjun , Wan, Shaoke , Sun, Yanhui et al. CONTACTLESS MEASUREMENT OF SPINDLE STIFFNESS BY USING LATERAL STATOR MAGNETIC LOADER [C] . 2018 .
MLA Su, Wenjun et al. "CONTACTLESS MEASUREMENT OF SPINDLE STIFFNESS BY USING LATERAL STATOR MAGNETIC LOADER" . (2018) .
APA Su, Wenjun , Wan, Shaoke , Sun, Yanhui , Hong, Jun , Li, Xiaohu . CONTACTLESS MEASUREMENT OF SPINDLE STIFFNESS BY USING LATERAL STATOR MAGNETIC LOADER . (2018) .
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Investigation on the influence of interference fit on the static and dynamic characteristics of spindle system EI Scopus SCIE
期刊论文 | 2018 , 99 (5-8) , 1953-1966 | International Journal of Advanced Manufacturing Technology
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The performance of high-speed and high-precision machine tool spindle is quite sensitive to the variation of system parameters. How to accurately predict the influences of key parameters on spindle characteristics is important for designers to achieve required machining accuracy. In the assembly of spindle system, the interference fit, which is always used to connect bearing and shaft, affects the performances of spindle system directly. Therefore, the quantitative investigation on the effects of interference fit on spindle characteristics are of great practical significance. In this paper, the effect mechanism of interference fit on spindle bearing system is explored and used to modify the analytical spindle bearing model. Firstly, the internal geometric relationships among the assembly bearing parts and shaft is analyzed under the influence of assembly deformation and centrifugal expansion. Then, the static and dynamic characteristics of spindle bearing system, including the bearing stiffness, maximum loosing speed, spindle stiffness as well as modal characteristics, are predicted under different interference fit values based on the modified spindle bearing model. The results show that the interference fit will stiffen the bearing and spindle system and result in obvious increments on bearing stiffness, spindle stiffness as well as the natural frequencies. A specially designed spindle test rig is built to verify the simulation results, and the variation of spindle stiffness and natural frequencies are measured under different interference fit values. The maximum error of the system natural frequencies between the analytical results and the experimental data is 7.36%, which confirmed the accuracy of the proposed analytical model. © 2018, Springer-Verlag London Ltd., part of Springer Nature.

Keyword :

Assembly parameters Geometric relationships Interference fit Modal characteristics Quantitative investigation Spindle bearing Spindle-bearing system Static and dynamic characteristics

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GB/T 7714 Liu, Guanghui , Hong, Jun , Wu, Wenwu et al. Investigation on the influence of interference fit on the static and dynamic characteristics of spindle system [J]. | International Journal of Advanced Manufacturing Technology , 2018 , 99 (5-8) : 1953-1966 .
MLA Liu, Guanghui et al. "Investigation on the influence of interference fit on the static and dynamic characteristics of spindle system" . | International Journal of Advanced Manufacturing Technology 99 . 5-8 (2018) : 1953-1966 .
APA Liu, Guanghui , Hong, Jun , Wu, Wenwu , Sun, Yanhui . Investigation on the influence of interference fit on the static and dynamic characteristics of spindle system . | International Journal of Advanced Manufacturing Technology , 2018 , 99 (5-8) , 1953-1966 .
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Non-invasive decoding of hand movements from electroencephalography based on a hierarchical linear regression model EI SCIE PubMed Scopus
期刊论文 | 2018 , 89 (8) | REVIEW OF SCIENTIFIC INSTRUMENTS
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A non-invasive brain-computer interface (BCI) is an assistive technology with basic communication and control capabilities that decodes continuous electroencephalography (EEG) signals generated by the human brain and converts them into commands to control external devices naturally. However, the decoding efficiency is limited at present because it is unclear which decoding parameters can be used to effectively improve the overall decoding performance. In this paper, five subjects performed experiments involving self-initiated upper-limb movements during three experimental phases. The decoding method based on a hierarchical linear regression (HLR) model was devised to investigate the influence of decoding efficiency according to the characteristic parameters of brain functional networks. Then the optimal set of channels and most sensitive frequency bands were selected using the p value from a Kruskal-Wallis test in the experimental phases. Eventually, the trajectories of free movement and conical helix movement could be decoded using HLR. The experimental result showed that the Pearson correlation coefficient (R) between the measured and decoded paths is 0.66 with HLR, which was higher than the value of 0.46 obtained with the multiple linear regression model. The HLR from a decoding efficiency perspective holds promise for the development of EEG-based BCI to aid in the restoration of hand movements in post-stroke rehabilitation. Published by AIP Publishing.

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GB/T 7714 Zhang, Jinhua , Wang, Baozeng , Li, Ting et al. Non-invasive decoding of hand movements from electroencephalography based on a hierarchical linear regression model [J]. | REVIEW OF SCIENTIFIC INSTRUMENTS , 2018 , 89 (8) .
MLA Zhang, Jinhua et al. "Non-invasive decoding of hand movements from electroencephalography based on a hierarchical linear regression model" . | REVIEW OF SCIENTIFIC INSTRUMENTS 89 . 8 (2018) .
APA Zhang, Jinhua , Wang, Baozeng , Li, Ting , Hong, Jun . Non-invasive decoding of hand movements from electroencephalography based on a hierarchical linear regression model . | REVIEW OF SCIENTIFIC INSTRUMENTS , 2018 , 89 (8) .
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Design of Isometric and Isotonic Soft Hand for Rehabilitation Combining with Noninvasive Brain Machine Interface CPCI-S
会议论文 | 2018 , 749-754 | 15th International Conference on Ubiquitous Robots (UR)
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Comparing with the traditional way for hand rehabilitation, such as simple trainers and artificial rigid auxiliary, this paper presents an isometric and isotonic soft hand for rehabilitation supported by the soft robots theory which aims to satisfy the more comprehensive rehabilitation requirements. Salient features of the device are the ability to achieve higher and controllable stiffness for both isometric and isotonic contraction. Then we analyze the active control for isometric and isotonic movement through electroencephalograph (EEG) signal. This paper focuses on three issues. The first is using silicon rubber to build a soft finger which can continuously stretch and bend to fit the basic action of the fingers. The second is changing stiffness of the finger through the coordination between variable stiffness cavity and actuating cavity. The last is to classify different EEG states based on isometric and isotonic contraction using common spatial pattern feature extraction (CSP) methods and support vector machine classification methods (SVM). On this basis, an EEG-based manipulator control system was set up.

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GB/T 7714 Li, Yue , Zhang, Jinhua , Zhang, Cheng et al. Design of Isometric and Isotonic Soft Hand for Rehabilitation Combining with Noninvasive Brain Machine Interface [C] . 2018 : 749-754 .
MLA Li, Yue et al. "Design of Isometric and Isotonic Soft Hand for Rehabilitation Combining with Noninvasive Brain Machine Interface" . (2018) : 749-754 .
APA Li, Yue , Zhang, Jinhua , Zhang, Cheng , Xiao, Yanqing , Hong, Jun , Wang, Michael Yu et al. Design of Isometric and Isotonic Soft Hand for Rehabilitation Combining with Noninvasive Brain Machine Interface . (2018) : 749-754 .
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Determination of Optimum Preload Considering the Skidding and Thermal Characteristic of High-Speed Angular Contact Ball Bearing SCIE
期刊论文 | 2018 , 140 (5) | JOURNAL OF MECHANICAL DESIGN
WoS CC Cited Count: 1
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Abstract :

Skidding is a typical behavior of high-speed angular contact ball bearings. Studies show that the effect of preload on bearing skidding and thermal characteristic is essential but insufficient. This paper proposed a comprehensive mathematic model to predict the skidding behavior of ball bearing, and the influences of the interactions between ball and raceways, cage and lubricant have been taken into consideration. Based on the proposed model, the bearing heating generation was calculated and the effects of skidding on bearing heating and temperature rise were analyzed. For validation proposes, a hydraulic variable preload experimental setup has been built, and the temperature rise of bearing outer rings under different preloads and speeds was collected and analyzed. The results indicated that at high speeds, the skidding has a significant negative effect on bearing temperature rise, and a proper preload can effectively prevent skidding and decrease temperature rise. Therefore, for a high-speed spindle-bearing system, an optimum preload that produced the minimum temperature rise can be obtained.

Keyword :

preload skidding angular contact ball bearing heat generation

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GB/T 7714 Fang, Bin , Zhang, Jinhua , Wan, Shaoke et al. Determination of Optimum Preload Considering the Skidding and Thermal Characteristic of High-Speed Angular Contact Ball Bearing [J]. | JOURNAL OF MECHANICAL DESIGN , 2018 , 140 (5) .
MLA Fang, Bin et al. "Determination of Optimum Preload Considering the Skidding and Thermal Characteristic of High-Speed Angular Contact Ball Bearing" . | JOURNAL OF MECHANICAL DESIGN 140 . 5 (2018) .
APA Fang, Bin , Zhang, Jinhua , Wan, Shaoke , Hong, Jun . Determination of Optimum Preload Considering the Skidding and Thermal Characteristic of High-Speed Angular Contact Ball Bearing . | JOURNAL OF MECHANICAL DESIGN , 2018 , 140 (5) .
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Investigation into the topology optimization for conductive heat transfer based on deep learning approach EI SCIE Scopus
期刊论文 | 2018 , 97 , 103-109 | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
WoS CC Cited Count: 2 SCOPUS Cited Count: 2
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Abstract :

A deep learning approach combining with the traditional solid isotropic material with penalization (SIMP) method is presented in this paper to accelerate the topology optimization of the conductive heat transfer. This deep learning predictor is structured based on the deep fully convolutional neural network. The validity and accuracy of this deep learning approach is investigated based on the typical 'Volume-Point' heat conduction problems. The time consumption of the optimization process will be reduced significantly by introducing the deep learning approach.

Keyword :

Deep learning SIMP Conductive heat transfer Topology optimization

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GB/T 7714 Lin, Qiyin , Hong, Jun , Liu, Zheng et al. Investigation into the topology optimization for conductive heat transfer based on deep learning approach [J]. | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER , 2018 , 97 : 103-109 .
MLA Lin, Qiyin et al. "Investigation into the topology optimization for conductive heat transfer based on deep learning approach" . | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 97 (2018) : 103-109 .
APA Lin, Qiyin , Hong, Jun , Liu, Zheng , Li, Baotong , Wang, Jihong . Investigation into the topology optimization for conductive heat transfer based on deep learning approach . | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER , 2018 , 97 , 103-109 .
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Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load EI SCIE Scopus
期刊论文 | 2018 , 140 (4) | JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME
WoS CC Cited Count: 2 SCOPUS Cited Count: 2
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Abstract :

Bolted flange joints are widely used in the nuclear power plants and other industrial complexes. During their assembly, it is extremely difficult to achieve the target bolt preload and tightening uniformity due to elastic interaction and criss-cross talks. In addition to the severe service loadings, the initial bolt load scatter increases the risk of leakage failure. The objective of this paper is to present an analytical model to predict the bolt tension change due to elastic interaction during the sequence of initial tightening. The proposed analytical model is based on the theory of circular beams on linear elastic foundation. The elastic compliances of the flanges, the bolts, and the gasket due to bending, twisting, and axial compression are involved in the elastic interaction and bolt load changes during tightening. The developed model can be used to optimize the initial bolt tightening to obtain a uniform final preload under minimum tightening passes. The approach is validated using finite element analysis (FEA) and experimental tests conducted on a NPS 4 class 900 weld neck bolted flange joint.

Keyword :

elastic compliance bolted flange joints tightening sequence elastic interaction analytical model

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GB/T 7714 Zhu, Linbo , Bouzid, Abdel-Hakim , Hong, Jun et al. Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load [J]. | JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME , 2018 , 140 (4) .
MLA Zhu, Linbo et al. "Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load" . | JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME 140 . 4 (2018) .
APA Zhu, Linbo , Bouzid, Abdel-Hakim , Hong, Jun , Zhang, Zaoxiao . Elastic Interaction in Bolted Flange Joints: An Analytical Model to Predict and Optimize Bolt Load . | JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME , 2018 , 140 (4) .
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On identifying optimal heat conduction topologies from heat transfer paths analysis EI SCIE Scopus
期刊论文 | 2018 , 90 , 93-102 | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
WoS CC Cited Count: 3 SCOPUS Cited Count: 4
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Making clear how thermal loads are equilibrated and transferred through a structure is of importance for identifying optimal heat conduction topologies in problems of cooling scheme design. This paper proposes a new method for computing the orientations and locations of heat transfer paths from a standard finite element analysis. First, a non-dimensional parameter (C*) is introduced, based on the variation in thermal compliance of the structure, to quantify the contribution of an arbitrary point in the structure to heat conduction performance. Then, a plotting algorithm is presented to search for the ridge lines of the calculated C* curved surface, which provide the steepest ascent in C* values from the points of heat sink to the points of heat source. Based on this, mathematical conditions (termed uniformity and continuity requirements) are discussed in detail and utilized as new criteria for tailoring the layouts of heat transfer paths in order for conductive cooling to be more effective. Finally, the derived criteria are incorporated into a commonly used topology optimization algorithm (SIMP algorithm), and validated though several benchmark cases. Unlike the conventional methods, the suggested approach optimizes only the orientations and locations of heat transfer paths and does not intentionally concern the overall temperature distribution, the application of which can potentially lead to worthwhile improvements at the conceptual stage of cooling design processes.

Keyword :

Heat transfer paths Conductive heat transfer Topology optimization

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GB/T 7714 Li, Baotong , Hong, Jun , Liu, Guoguang et al. On identifying optimal heat conduction topologies from heat transfer paths analysis [J]. | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER , 2018 , 90 : 93-102 .
MLA Li, Baotong et al. "On identifying optimal heat conduction topologies from heat transfer paths analysis" . | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 90 (2018) : 93-102 .
APA Li, Baotong , Hong, Jun , Liu, Guoguang , Ge, Liuhua . On identifying optimal heat conduction topologies from heat transfer paths analysis . | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER , 2018 , 90 , 93-102 .
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