Parameters Optimization and Experimental Study of Aero-Engine Blade in Electrochemical Machining Based on High-Risk Machining Parameter Elimination

2013 ◽  
Vol 567 ◽  
pp. 67-72 ◽  
Author(s):  
Zhi Yong Li ◽  
Zong Wei Niu ◽  
Li Li

Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, a great deal of ECM machining parameter combination which probably result in machining failure can be eliminated based on BP neural network firstly. Furthermore, the optimized ECM machining parameter combination has been discovered. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.

2010 ◽  
Vol 121-122 ◽  
pp. 893-899 ◽  
Author(s):  
Zhi Yong Li ◽  
Hua Ji ◽  
Hong Li Liu

Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, five main machining parameters, applied voltage, initial machining gap, cathode feed rate, electrolyte temperature and pressure difference between electrolyte inlet and outlet, have been evaluated and optimized based on BP neural network technique. From 3125 possible machining parameter combinations, 657 optimized parameter combinations are discovered. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.


2010 ◽  
Vol 135 ◽  
pp. 418-423 ◽  
Author(s):  
Zhi Yong Li ◽  
Zong Wei Niu

Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, five main machining parameters, applied voltage, initial machining gap, cathode feed rate, electrolyte temperature and pressure difference between electrolyte inlet and outlet, have been evaluated and optimized based on BP neural network technique. From 3125 possible machining parameter combinations, 657 optimized parameter combinations are discovered. Furthermore, the final optimized ECM process parameters have been obtained. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.


2010 ◽  
Vol 97-101 ◽  
pp. 3583-3586 ◽  
Author(s):  
Zhi Yong Li ◽  
Hua Ji

Cathode design is a difficult problem must be faced and solved in electrochemical machining (ECM). In ECM process, various parameters, such as applied voltage, current density, gap distribution, machining rate and electrolyte composition and concentration, can affect ECM machining process and therefore cathode design. Among all these machining parameters, gap distribution is the most vital. Regard some type of aero-engine compressor blade as research object, this paper concentrates on the effects of the normal gap distribution of 2-dimension and 3-dimension on cathode design based on the cathode design method of , moreover the errors between two and three dimension normal gap also can be compared and analyzed in detail. To verify the accuracy of the designed cathode, the machining experiments were conducted on an industrial scale ECM machine and the experimental results demonstrates that the cathode designed utilizing 3-dimension normal gap exhibits more machining accuracy and therefore valuable.


2018 ◽  
Vol 764 ◽  
pp. 225-234 ◽  
Author(s):  
Zhi Qiang Zhao ◽  
Zhi Gang Ma ◽  
Yue Tao Liu ◽  
Xiao Long Wu ◽  
Hun Guo

Utilizing all-direction electrochemical machining (ECM) for super-thin twist aero-engine, feed angle of tool cathode and blade fixture angle are investigated and optimized in this study. The most optimal combination of the two angles (oblique feed angle of tool cathode and fixture angle of blade stock) is selected from all 65341 angle combinations. Moreover, the affections of the optimized angle combination on machining error distribution between blade shape and plate are concentrated. The analysis and experimental results demonstrate that the optimized angle combination can satisfy the machining requirements of blade shape and error distribution of blade shape and plate.


2020 ◽  
Vol 206 ◽  
pp. 03023
Author(s):  
Qing Mao ◽  
Sen Wang ◽  
Shugui Liu

High machining accuracy of aero-engine blade largely determines the carrying capacity, endurance, acceleration and the dynamic performance of the aero-engine, so a reliable machining error inspection and evaluation technique is imperative. In order to give a reliable error evaluation, the non- uniform rational B-spline (NURBS) technique is adopted to reconstruct the surface within a specified accuracy. Usually, data points measured from aero-engine blade are non-grid data in situ measuring systems. To overcome the difficulty of NURBS surface fitting from non-grid data, a new method based on data conversion is proposed, in which chord length parameterization and uniform parameter sampling are combined together to realize the data convertation, and subsequently hierarchical fitting strategy is applied to finish the NURBS surface reconstruction. The way proposed for data conversion is easy to realize, and by which gemetrical features of original measured data are also reserved well, which make the whole method outstanding in low time cost. Experimental results show that the method is fast, effective. The source code has been implemented in VC++, while the resulting pictures are constructed in Matlab with the obtained control points, knot vectors, and the orders.


2017 ◽  
Vol 868 ◽  
pp. 166-171
Author(s):  
Zhing Yong Li ◽  
Xiu Ting Wei ◽  
Wen Wen Lu ◽  
Qing Wei Cui

By the cooling holes in aero-engine turbine blade as the research object, this study focuses on two kinds of ECM methods, which are mix gas added to the nonlinear electrolyte (NaNO3) and non-mixed gas. Mixed and non-mixed gas ECM experiments of turbine blade cooling holes were carried out respectively. The corresponding two-dimensional CAD model of cooling hole was constructed combined with the experimental data and theoretical analysis. Numerical simulation analysis was carried out of the flow field base on the above models by using the fluid dynamics analysis software FLUENT. The influence flow velocity and flow velocity distribution on the machining accuracy and efficiency of ECM were investigated in detail. The vortex zone distribution of gas-NaNO3 mixed phase flow field and single NaNO3 solution flow field was analyzed qualitatively. The simulation results indicated that the flow velocity in the machining gap with mixed gas was significantly higher than the velocity during ECM process for cooling holes. The electrolytic products and heat were washed away completely, the electrolyte can be updated in time. Fluid vortex zone distribution was improved obviously, the flow field distribution became more uniform after mixed gas in ECM process. The machining accuracy and efficiency for cooling holes making may be improved greatly with gas mixed in electrolyte NaNO3.


2009 ◽  
Vol 419-420 ◽  
pp. 813-816 ◽  
Author(s):  
Hui Chen ◽  
Zhen Long Wang ◽  
Zi Long Peng ◽  
Wan Sheng Zhao

. The purpose of this paper is to study the application of electrochemical machining (ECM) technology for the fabrication of micro structures. The stray current corrosion, i.e. machining localization is a critical obstacle to micro fabrication for ECM. To machine micro structures by electrochemical machining ultra short voltage pulse is used. The effects of electrochemical machining parameters such as voltage, pulse duration, pulse frequency, and electrolyte composition on the machining accuracy were studied. In experiments, a micro hole was machined on stainless steel with cylindrical and square electrodes to investigate these effects.


2009 ◽  
Vol 69-70 ◽  
pp. 248-252 ◽  
Author(s):  
Ji Hua ◽  
Zhi Yong Li

Cathode design is a difficult problem must be faced and solved in ECM. We develop a new numerical approach for cathode design by employing a finite element method and this approach has been applied in the cathode design of aero-engine blades in ECM. The mathematic models of the electric filed and electrolyte flow filed distribution in EMC process are described primarily. Then the realization procedure of this approach is presented,in which the effects of electric filed and electrolyte flow filed distribution within the inter-electrode gap domain are concentrated. In order to verify the machining accuracy of the designed cathodes, the experiments are conducted using an industrial scale electrochemical machining system. The experimental results demonstrate that the machined blade have high surface quality and dimensional accuracy which proves the proposed approach for cathode design of aero-engine blades in ECM is applicable and valuable.


2012 ◽  
Vol 476-478 ◽  
pp. 375-378
Author(s):  
Lei Wang ◽  
Jiang Ning Gai

In electrochemical machining (ECM) machining accuracy of workpieces is greatly influenced by many machining parameters. In this paper the BP neural network model is employed to optimize machining parameters in ECM. Taking a three dimensional complicated surface as the research object the experimental results have shown that the optimization process can be easily operated and the result is of high precision.


2014 ◽  
Vol 1039 ◽  
pp. 117-123
Author(s):  
Jie Cai ◽  
Bao Rui Li ◽  
Wen Hua Zhu ◽  
Ya Fei He ◽  
Xu Qian Zhang

This paper proposed the machining scheme of front and back combined for the blade according to the characteristics of the aero engine blades. Then the authors analyzed the entire process of the blade machining in detail, it included the machining resource selection, the process route development and NC programming created. Finally through the specific practices to verify the feasibility of the machining program.


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