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Zhu W.B.,North Carolina State University | Zhu X.C.,Nanjing Institute of Technology | Zhu X.C.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Wang M.L.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Ding W.Z.,Jiangsu Key Laboratory of Advanced Numerical Control Technology
Applied Mechanics and Materials | Year: 2014

The ability of acquiring and processing information in manufacturing influences agile of manufacturing system. According to the idea that networked field information processing is realized based on intelligent nodes of field-bus technology, distributed intelligent field information processing flow is researched to synthesize multiple functions such as information gathering, information processing, warning system and field control. The method of information represented and collected was put forward. The multilayer data fusion model of distributed intelligent field information processing is built. Then the distributed LonWorks fieldbus monitoring model (DLFMM) based on LonWorks fieldbus technology is established. A monitoring system of a rail vehicle automatic door factory is shown as an example to illustrate design strategy of monitoring system based on DLFMM. This monitoring system shows that the model of distributed intelligent field information processing, DLFMM and the extraction and representation of information flow discussed in this paper are reasonable and applicable. © (2014) Trans Tech Publications, Switzerland. Source


Wang B.S.,Nanjing Institute of Technology | Wang B.S.,Jiangsu University | Zuo J.M.,Jiangsu University | Wang M.L.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Hou J.M.,Jiangsu Key Laboratory of Advanced Numerical Control Technology
Materials and Manufacturing Processes | Year: 2012

This article presents a method to obtain the cutting force coefficients needed to predict the milling force using a mechanistic model of the milling process. A finite element model is developed and used to simulate the oblique cutting process of cutting edge discrete element for the Al6061-T6 milling. The model reflects the effects of high temperature, large strain, and strain rate to the workpiece material. Based on the simulation results, the relationship between cutting force coefficients and chip thickness is deduced, and inverse proportion models are presented. To validate the accuracy of the model, instantaneous milling force is predicted and shown to match the real measured force with satisfactory accuracy. Based on predicted milling force, the machining processing is optimized. © 2012 Copyright Taylor and Francis Group, LLC. Source


Zuo J.M.,Changzhou Institute of Technology | Wang M.L.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Chen J.,Nanjing KANGNI Mechanical and Electrical Co. | Wang B.S.,Jiangsu Key Laboratory of Advanced Numerical Control Technology
Applied Mechanics and Materials | Year: 2014

Control system is the key factor for performance of digital forming machine. To meet different needs, an open NC system structure is proposed based on PMAC. Selection of servo motor is analyzed, and hardware of control system is established. Software composed of multiple modules is developed with VC++, and also communication between PC and PMAC is realized. Furthermore, a method to optimize manufacturing process and interpolation path is presented according to characteristics of lost foam machining. Simulation and experiment are carried out, and the results confirm that the control system is excellent. © (2014) Trans Tech Publications, Switzerland. Source


Dong H.,Nanjing University of Aeronautics and Astronautics | Yang C.,Nanjing University of Aeronautics and Astronautics | Yang C.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Gao S.,Nanjing University of Aeronautics and Astronautics | And 3 more authors.
Jingangshi yu Moliao Moju Gongcheng/Diamond and Abrasives Engineering | Year: 2016

For typical difficult-to-machine materials of nickel-base superalloy GH4169, honing experiments are carried out to study the hole surface roughness and cylindricity. Results show that the surface roughness decreases gradually and tends to be stable as honing continues when honing GH4169 using metal bonded CBN oilstone. The best surface roughness is Ra 0.7 μm when using the grit size 100 μm oilstone, Ra 0.3 μm using 34 μm oilstone and Ra 0.1 μm using 8 μm oilstone. Based on the results, two prediction models, namely the minimum bottom hole machining allowance prediction model and the maximum allowable deviation of cylindricity prediction model, are established and verified by relevant experiments. It turns out that the errors of the models are less than 10%. © 2016, Diamond & Abrasives Engineering Editorial Office. All right reserved. Source


Wang B.,Nanjing Institute of Technology | Hao H.,Nanjing Institute of Technology | Zuo J.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | Wang M.,Jiangsu Key Laboratory of Advanced Numerical Control Technology | And 2 more authors.
Metallurgical and Mining Industry | Year: 2015

Cutting force coefficients are the key factors for efficient and accurate prediction of milling force. This paper presents a new method to calibrate the cutting force coefficients using the surface errors related to milling of thin-walled workpiece including effect of cutter runout. The surface error is separated into nominal surface error and perturbation component due to runout. By analyzing forming of surface error, cutter deformation and deflection of thin-walled workpiece, the result that cutter runout has no effect on the average surface error is achieved. Relationship between nominal surface error and cutting force coefficients is constructed, and also an approach for extraction of nominal surface error from measured surface error is proposed. Then, the cutting force coefficients are estimated conveniently. Milling tests are carried out to verify the proposed method. A good agreement between predicted results and experimental results is achieved, which shows that the method is efficient. Source

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