Abstract
Experimental evaluations based on statistical and scientific criteria play fundamental role in identification of optimal performance parameters in manufacturing engineering. Based on this premise, the Doehlert’s experimental planning method was applied to external cylindrical turning process of ABNT 1045 steel, with the purpose of determining the roughness correlation as a function of the cutting speed (Vc) and feed rate (f). The Doehlert’s matrix was defined with five levels for feed rate and three levels for cutting speed, according to coded variables. From these experiments the correlation between input and output variables was determined. The best model is in agreement with the analysis of variance and Fischer’s test. Graphs were obtained for both response and contour surfaces. In addition, the optimal point for the best model was determined by the Lagrange criterion, which corresponds to a feed rate (f) of 0.0880 mm rev-1 and the cutting speed (Vc) of 155 mm min.-1, resulting in a minimum roughness average value (Ra) equals to 0.8916 μm.
Highlights
The quality of machined products is directly linked to the roughness
In the process of turning the roughness is directly influenced by the characteristics of the machine, machining tools parameters, tool wear, cutting speed and feeds, among others
Gauthier, and Chatelain (2016) examined the surface roughness as function of the cutting speed in turning operations and concluded that there is a trend to increase the roughness with respect to tool wear, being considered surface roughness as quantitative parameter for tool’s evaluation
Summary
The quality of machined products is directly linked to the roughness. Depending on the implementation of certain components and characteristics of assembly will be needed to apply subsequent finishing processes such as grinding and polishing (Ratnam, 2016). In the process of turning the roughness is directly influenced by the characteristics of the machine, machining tools parameters, tool wear, cutting speed and feeds, among others. The experimental determination of the various correlational parameters for machine/material is fundamental for optimal performance in manufacture engineering. For such reason, the idea of experimental design is established, which is a set of tests with scientific and statistical criteria in order to determine the influence of several variables on a given system or process results (Montgomery, 2009). As an alternative rather useful and attractive to the second order, was used the Doehlert’s planning
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
