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Maximum material removal was observed when an O2 assist gas was employed on account of the O2 generating an exothermic reaction.
In this paper, box behnken (CCRD) is employed to find out the optimal combinations of process parameters of ANMMC for maximum material removal rate (MRR).
For minimum mean surface roughness and maximum material removal rate, process parameters are optimized with the help of full factorial design coupled with response surface method.
This paper provides an integrated approach for designing large milling machines, taking both mass reduction of mobile structural components and the maximum material removal rate into account.
Through the geometry parameters design for multi-cutters to reduce specific energy on machining, the maximum material removal rate and longer tool life can be achieved.
The maximum material removal rate was obtained when the parameters were set at pulse on-time = 9 μs, pulse off-time = 3 μs and water pressure = 7 kg/cm2.
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Additionally, a set of continuous discharge experiment is accomplished to investigate the improving effect of constant magnetic field, and experiment result represents that significantly improvement (material removal rate (MRR) maximum increase by 44.0%, and surface roughness (Ra) maximum reduce by 30.5%) has been obtained.
The whole material removal scope within the maximum and minimum removals is divided into several ranges, and then each removal range determines the corresponding subregions.
Both silicon carbide and alumina demonstrate a ductile regime of material removal under the lower maximum undeformed chip thickness (0.08 mm).
Specifically, second order mathematical models are presented for mean average roughness Ra (μm), maximum peak-to-valley roughness Rt (μm) and material removal rate Qm (cm min−1), obtained by means of regression analysis.
Secondly, to obtain the optimal settings of machining parameters at which the Material Removal Rate (MRR) and cutting rate are maximum and the Surface Roughness (SR) is minimum in a range.
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