RESUMO
The contemporaneous examination focuses on the impact of spindle speed as well as an eco-pleasing cooling strategy in the midst of processing of AISI316. Investigations were executed at three different machining approaches viz. dry, wet and cryogenic (LN2) using cemented carbide inserts. Water dissolvable oil was used as a cutting fluid for flood cooling approach. The workpiece was processed under three distinctive cutting speeds i.e. 1000, 2000 and 3000 rpm however feed rate and depth of cut were kept consistent at 450 mm/min and 1mm separately. An exhaustive investigation on the cooling impacts of LN2 technique on a segment of the significant machinability perspective, for instance, cutting force (Fx), insert wear, surface quality and processing temperature is delineated. The beforehand specified processing responses were documented and contrasted all together to demonstrate the reasonableness and achievability of LN2 approach in examination with dry and wet machining methodology. The outcomes accomplished in the midst of the examination obviously settled the commonness of realizing LN2 for achieving upgraded machinability inside a predetermined scope of process parameters.
RESUMO
The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using forward back propagation neural network based approach, i.e. ANN based on three process parameters, such as spindle speed, feed rate and depth of cut.The comparing reverse model is likewise created to prescribe the ideal settings of processing parameters for accomplishing the desired responses as indicated by the necessities of the end clients. These modelling approaches are very proficient to foresee the benefits of machining responses and also process parameter settings in light of the experimental technique.
