Wuhan Heavy Duty Machine Tool Group Corporation

Wuhan, China

Wuhan Heavy Duty Machine Tool Group Corporation

Wuhan, China

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Wu J.,Huazhong University of Science and Technology | Hao G.,Huazhong University of Science and Technology | Deng C.,Huazhong University of Science and Technology | Zhao M.,Wuhan Heavy Duty Machine Tool Group Corporation
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2015

Aiming at the problems that the occurrence time and evolution process of bearing performance degradation were difficult to be identified, a novel performance degradation analysis and assessment method was proposed based on fuzzy C-means clustering algorithm. A data-driven approach was presented to analyze bearing performance degradation process. A fuzzy C-means clustering algorithm was developed to assess the bearing performance degradation, And the process of bearing performance degradation assessment was given. A case study about a rolling bearing was implemented, and the conclusion was showed that the proposed method could better identify the occurrence time of performance degradation and assess the level of performance degradation. ©, 2015, CIMS. All right reserved.


Wang S.,Hunan University | Xiong W.,Hunan University | Meng S.,Hunan University | Gui L.,Wuhan Heavy Duty Machine Tool Group Corporation | And 2 more authors.
Jixie Qiangdu/Journal of Mechanical Strength | Year: 2014

A new method for calculating bearing capacity of the fan-shaped hydrostatic thrust bearing supplied with constant oil flow is presented in this paper. Comparing with traditional calculation method, the new method has taken the influence of centrifugal force into account. In addition, the concept of CFIF (Centrifugal Force Impact Factor) is put forward. The 3D modeling and mesh divided method of the fan-shaped hydrostatic thrust bearing based on Gambit is explored. An analysis of 3D fluid simulation for the fan-shaped hydrostatic thrust bearing oil film by using FLUENT of CFD is made. The error between calculated result and simulated result is less than 5 percent, which demonstrates the validity of the proposed method. Based on the method, the influence of various related physical quantities on CFIF is studied, and the ranges of these quantities are obtained when the influence of centrifugal force needs to be considered for bearing capacity calculation. This study provides a theoretical basis for the design and calculation of the fan-shaped hydrostatic thrust bearing supplied with constant oil flow.


Jiang Z.,Huazhong University of Science and Technology | Qiu H.,Huazhong University of Science and Technology | Zhao M.,Wuhan Heavy Duty Machine Tool Group Corporation | Zhang S.,Huazhong University of Science and Technology | Gao L.,Huazhong University of Science and Technology
Engineering Computations (Swansea, Wales) | Year: 2015

Purpose-In multidisciplinary design optimization (MDO), if the relationships between design variables and some output parameters, which are important performance constraints, are complex implicit problems, plenty of time should be spent on computationally expensive simulations to identify whether the implicit constraints are satisfied with the given design variables during the optimization iteration process. The purpose of this paper is to propose an ensemble of surrogates-based analytical target cascading (ESATC) method to tackle such MDO engineering design problems with reduced computational cost and high optimization accuracy. Design/methodology/approach-Different surrogate models are constructed based on the sample point sets obtained by Latin hypercube sampling (LHS) method. Then, according to the error metric of each surrogate model, the repeated ensemble of surrogates is constructed to approximate the implicit objective functions and constraints. Under the framework of analytical target cascading (ATC), the MDO problem is decomposed into several optimization subproblems and the function of analysis module of each subproblem is simulated by repeated ensemble of surrogates, working together to find the optimum solution. Findings-The proposed method shows better modeling accuracy and robustness than other individual surrogate model-based ATC method. A numerical benchmark problem and an industrial case study of the structural design of a super heavy vertical lathe machine tool are utilized to demonstrate the accuracy and efficiency of the proposed method. Originality/value-This paper integrates a repeated ensemble method with ATC strategy to construct the ESATC framework which is an effective method to solve MDO problems with implicit constraints and black-box objectives. © Emerald Group Publishing Limited.


Cai H.,Huazhong University of Science and Technology | Luo B.,Huazhong University of Science and Technology | Mao X.,Huazhong University of Science and Technology | Gui L.,Wuhan Heavy Duty Machine Tool Group Corporation | And 3 more authors.
Procedia CIRP | Year: 2015

Dynamic properties of machine-tool structures are likely to change under machining conditions. Thus, the dynamic parameters obtained by traditional experimental modal analysis in the static state may not characterize accurately the dynamics of the machine tool structure in operation. This paper proposes a new method of so-called AEMA (Active Excitation Modal Analysis) to identify the dynamic modal parameters of a machine tool structure during machining. A random cutting excitation technique realized by cutting a specially designed workpiece is proposed to provide strong and evenly distributed excitation within the frequency range of interest. The surface of the workpiece has a long narrow random zigzag width, which randomizes the resulting cutting forces. The LSCE (Least Square Complex Exponential) method is employed to estimate the modal parameters from just the measured responses. Then an algorithm based on two novel tools, the harmonic frequency fence and the spectrum abruptness ratio, is presented to eliminate the harmonic modes attributed to AC power and rotation frequency. The abruptness ratio is used to detect the basic frequency, and then the fence filters out the harmonic modes caused by peaks at integer multiples of the basic frequency through narrow frequency fence slots followed by a damping ratio limit. Finally, the proposed AEMA method is experimentally validated and shows satisfactory results. © 2015 The Authors. Published by Elsevier B.V.


Wang S.,Hunan University | Xiong W.,Hunan University | Gui L.,Wuhan Heavy Duty Machine Tool Group Corporation | Xue J.,Wuhan Heavy Duty Machine Tool Group Corporation | And 2 more authors.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2014

The hydrostatic rotary table's upper and lower guides are prone to scratch each other when the partial loaded hydrostatic rotary table is rotating. In the former study of this phenomenon, it is hard to establish a practical mathematical model of carrying capacity and overturning moment of the hydrostatic rotary table based on traditional analytical calculating method, and the modeling and calculating of fluid domain with a changing geometrical boundary can not be conducted when utilizing the traditional CFD simulation method. To solve this problem, a new calculation method based on dynamic mesh model is proposed, which is used to calculate the bearing capacity and overturning moment of the partial loaded hydrostatic rotary table under rotating condition in engineering practice. The change of oil film form is controlled by using user definition function. Deformation of oil film mesh caused by the changing of rotary table's tilting direction is refreshed using spring smoothing theoretical model. The oil film's moving boundary caused by rotational movement is changed into static boundary for avoiding the grid distortion. This method can realize the simulation of oil film with different thickness and tilt displacement rate using the same model, which can avoid the repeatedly building of calculating model and improving the computational efficiency. The dynamic process of three dimensional pressure distribution of oil film is reappeared. The impact of rotary table's motion on flow field distribution can be reflected in the calculating result which is closer to engineering practice. The bearing capacity and overturning moment of a typical hydrostatic rotary table are calculated by using the proposed method and the experiment of hydrostatic rotary table bearing partial load is conducted. The experimental results are in reasonable agreement with calculation ones, which have verified the effectiveness of the proposed calculating method. ©2014 Journal of Mechanical Engineering


Wang S.,Hunan University | Xiong W.,Hunan University | Meng S.,Hunan University | Gui L.,Wuhan Heavy Duty Machine Tool Group Corporation | And 2 more authors.
Jixie Qiangdu/Journal of Mechanical Strength | Year: 2015

In the traditional design method of heavy duty hydrostatic rotary table, the influence of centrifugal force has not been considered in the calculation of bearing capacity of fan-shaped hydrostatic thrust bearing supplied with constant oil flow and the adopted simplified calculation method is lack of experimental verification. In this paper, a new analytical calculation method of bearing capacity of fan-shaped hydrostatic thrust bearing supplied with constant oil flow is presented in which the influence of centrifugal force is considered. The experimental system of heavy duty hydrostatic rotary table is designed and established, and corresponding experiment is carried out. The experimental results have a good fitness with analytical calculated ones, which has verified the validity of the proposed calculation method. The new method provides a theoretical basis for the design and calculation of the fan-shaped hydrostatic thrust bearing supplied with constant oil flow. © 2015, Journal of Mechanical Strength. All right reserved.


Wang S.,Huazhong University of Science and Technology | Chen F.,Huazhong University of Science and Technology | Liu T.,Wuhan Heavy Duty Machine Tool Group Co. | Gou W.,Qinghai Huading Industries Co.
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | Year: 2015

High-speed spindle works in the state of thermo-mechanical coupling, and the discontinuity caused by structure interfaces has a strong influence on the dynamic behaviour of the spindle. Whereas, the predictions of stiffness, of thermal resistance and especially of the damping characteristics of joints are extremely difficult due to their dependence on many different influences, the desired calculation accuracy of joints has become the bottleneck of high-speed spindle design and performance prediction. Within this paper, based on the fractal theory and the Hertz contact theory, the thermo-mechanical coupling characteristics of high-speed spindle fixed and movable joints were studied, and an approach for the prediction of the physical characterization of joints was established. Resultantly, a new thermo-mechanical modeling of high speed spindle and numerical simulation method with joints characteristics considered were presented, and the validity of presented method has been validated by experimental calibration with a high-speed spindle of machine tool. © 2015, Huazhong University of Science and Technology. All right reserved.


Wu J.,Huazhong University of Science and Technology | Deng C.,Huazhong University of Science and Technology | Xiong Q.-Q.,Huazhong University of Science and Technology | Zhao M.,Wuhan Heavy Duty Machine Tool Group Corporation
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2013

To tackle characteristics of nonlinear and low accuracy for traditional reliability assessment, a novel machine tool reliability assessment method based on Bootstrap and Support Vector Machines (SVM) was proposed. The reliability assessment models for point estimation and confidence interval were respectively set up under the condition of the small sample. A sequence diagram of unified modeling language was adopted to describe the entire process of machine tool reliability assessment. A case was implemented by simulation analysis to validate the method. It suggested that the nonlinear and low accuracy encountered in classic machine tool reliability assessment might be solved by using the proposed method when only small sample was obtained.


Deng C.,Huazhong University of Science and Technology | Sun Y.-Z.,Huazhong University of Science and Technology | Li R.,Wuhan Heavy Duty Machine Tool Group Corporation | Wang Y.-H.,Huazhong University of Science and Technology | Xiong Y.,Huazhong University of Science and Technology
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2013

Heavy-duty CNC has the characteristics of diverse fault modes and causes, insufficient fault samples, which makes Health state assessment very difficult Based on multi-capability parameter and multiple observation sequences, a HMM model was constructed which could reflect the performance degradation, and expressed the health state of Heavy-duty CNC clearly. Firstly, in order to solve the problem of parameter initialization, the effects of parameter on accuracy of model were resolved by K-means algorithm, Secondly, since single performance parameter was not sufficient for describing the health state of Heavy-duty CNC, the method further discussed the application of multiple observation sequences in modeling. Finally, the proposed health estimation model was validated by ball-screw of the Heavy-duty CNC and the result demonstrated its effectiveness.


Huang Z.,Huazhong University of Science and Technology | Qiu H.,Huazhong University of Science and Technology | Zhao M.,Wuhan Heavy Duty Machine Tool Group Corporation | Cai X.,Huazhong University of Science and Technology | Gao L.,Huazhong University of Science and Technology
Engineering Computations (Swansea, Wales) | Year: 2014

Purpose - Popular regression methodologies are inapplicable to obtain accurate metamodels for high dimensional practical problems since the computational time increases exponentially as the number of dimensions rises. The purpose of this paper is to use support vector regression with high dimensional model representation (SVR-HDMR) model to obtain accurate metamodels for high dimensional problems with a few sampling points. Design/methodology/approach - High-dimensional model representation (HDMR) is a general set of quantitative model assessment and analysis tools for improving the efficiency of deducing high dimensional input-output system behavior. Support vector regression (SVR) method can approximate the underlying functions with a small subset of sample points. Dividing Rectangles (DIRECT) algorithm is a deterministic sampling method. Findings - This paper proposes a new form of HDMR by integrating the SVR, termed as SVR-HDMR. And an intelligent sampling strategy, namely, DIRECT method, is adopted to improve the efficiency of SVR-HDMR. Originality/value - Compared to other metamodeling techniques, the accuracy and efficiency of SVR-HDMR were significantly improved. The SVR-HDMR helped engineers understand the essence of underlying problems visually. © Emerald Group Publishing Limited.

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