A temperature dependent multi-ion model for time accurate numerical simulation of the electrochemical machining process. Part III: Experimental validation

被引:33
作者
Deconinck, D. [1 ]
Hoogsteen, W. [2 ]
Deconinck, J. [1 ]
机构
[1] Vrije Univ Brussel, Res Grp Electrochem & Surface Engn, B-1050 Brussels, Belgium
[2] Philips Consumer Lifestyle, IPC PE, Drachten, Netherlands
关键词
Thermal properties; Concentration; Current efficiency; Water depletion; Steel; FLOW CHANNEL; DISSOLUTION; NANO3;
D O I
10.1016/j.electacta.2013.04.059
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
The temperature distribution and shape evolution during electrochemical machining (ECM) are the result of a large number of interacting physical processes. Electrolyte flow, electrical conduction, ion transport, electrochemical reactions, heat generation and heat transfer strongly influence one another, making modeling and numerical simulation of ECM a very challenging procedure. In part I [1], a temperature dependent multi-ion transport and reaction model (MITReM) is put forward which considers mass transfer as a consequence of diffusion, convection and migration, combined with the electroneutrality condition and linearized temperature dependent polarization relations at the electrode-electrolyte interface. The flow field is calculated using the incompressible laminar Navier-Stokes equations for viscous flow. The local temperature is obtained by solving internal energy balance, enabling the use of temperature dependent expressions for several physical properties such as the ion diffusion coefficients and electrolyte viscosity. In part II [2], the temperature dependent MITReM is used to simulate ECM of stainless steel in aqueous NaNO3 electrolyte solution. The effects of temperature, electrode thermal conduction, reaction heat generation, electrolyte flow and water depletion are investigated and a comparison is made between the temperature dependent potential model and MITReM. In this third part, the theoretical model is validated against ECM experiments in a flow-channel cell. The model is further optimized by including the effect of metal hydration and non-linear polarization relations. A close match is obtained between experiment and simulation. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:161 / 173
页数:13
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