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As example the material removal characteristics of stainless steel 1.4301 under PECM conditions are shown.
The main parameters affecting the material removal characteristics of laser milling are reviewed.
This paper introduces a method for a fast determination of the material removal characteristics in pulsed electrochemical machining (PECM).
Based on the resulting mathematical description of the material removal characteristics a design of PECM processes by analytical calculations or multiphysics simulation is feasible.
Four groups of material removal experiments were conducted to validate the proposed material removal model and investigate its material removal characteristics.
Due to the multi-factor influence and the complexity of the polishing mechanism, it is difficult to model the material removal characteristics accurately with the consideration of a lot of operational parameters in FJP.
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The material removal characteristic on inner cylindrical surface was modelled based on computational fluid dynamic method.
The analytical model of material removal contains grinding wheel characteristics such as rotation speed, feeding speed, and applied pressure to the ground rail.
Previous investigations show that the discharge current and pulse-on time are the most important parameters in WEDM that significantly affect the material removal rate and surface characteristics of the machined component (Shivade and Shinde 2014).
Microscale abrasive wear testing also reveals that the layers have a good wear resistance, with wear scars exhibiting characteristic material removal by micro-chipping.
To predict the performance characteristics namely material removal rate and surface roughness, artificial neural network models were developed using back-propagation algorithms.
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