The lesser value of feed rate can boost up the surface quality. It can be observed that the roughness becomes poor due to the factors of higher cutting speed. The discussion is about the closeness of the predicted values of particle swarm optimization (PSO) technique which exactly coincide with the experimental roughness values. Thermally heat treated steel specimen with coated carbide inserts have proven effective wear mechanism with the improved tool life. The hardness becomes more due to lowering the tempering temperature. Paper has discussed the tool wear and surface roughness of steel specimen machined with coated inserts with the involvement of austenitizing and tempering heat treatments. Microvoids of scratches and burr formation have been identified from the microstructures of tearing surface. (2015) have discussed the surface roughness improvement that was good during the machining with lower and higher cutting speeds. Paper evaluated that the surface roughness has reduced by the percentage confidence level and relatively 8% of improvement has been obtained in its roughness by the dominance of cutting speed as machining parameter. The differentiation of tools can be analyzed here with the effect of dual heat treatment on each specimen.
The dual heat treatment can be used here for evaluating the better surface finish used among the suitable tool material types. The heat treatment is a process of modulating or changing the material characterization and microconstitutions too. The various methods have been implemented to improve the surface roughness and tool life. Improvement of surface perfections and the tool life is an admirable task by utilizing the proper machining conditions and the work environment. Introductionīy the identification of influencing factors on any machining outcomes this will be very useful by its interpreted data for the product improvement in the factory floor. The average values of heat treated and nonheat treated Al6061-T6 are compared and it is to be evaluated that 41% improvement is obtained with the lower surface roughness of 1.78975 µm and it shows good surface finish with the help of dual heat treatment process.
The simulation finding also helps to clarify the relationship between influenced machining constraints and roughness outcomes of this project. The influencing factors are identified by the Taguchi, genetic algorithm (GA), and Artificial Neural Network (ANN) techniques and compared within it. Worthy roughness could be provided mostly by the influence of feed rates preferred here as 0.05 mm/rev and 0.1 mm/rev. The HSS and WC milling cutters are preferred for the diameter of 10 mm for the reviewed rotational speeds of 2000 rpm and 4000 rpm, and the constant depth of cut of 0.5 mm is chosen based on various reviews. The heat treatments are conducted twice over the specimen by the furnace heating before processing through CNC machining. Dual heat treatment (DHT) effect is analyzed using the machining of Al6061-T6 alloy, a readily available material for quickly finding the machining properties.