No abstract

Summary The objective of this study is the selection of cutting data (such as nc, f, ap) and tool materials (PCD, ceramic, CBN and carbide cutting tools) in order to improve the surface roughness in precision turning operation of parts made of pure titanium (GRADE 2). Machining parameters and tool materials are considered as input parameters. The surface roughness is selected as the process output measure of performance. A Taguchi approach is employed to gather experimental data. Then, based on signal-to-noise (S/N) ratio, the best sets of cutting parameters and tool materials specifications have been determined.

No abstract

The paper presents a procedure for the determination of uncertainties in the modeling of surface roughness in the turning of NiTi alloys. The presented procedure is applicable both to the analysis of the measurement values of the two main roughness factors, as well as to research related to the prediction and optimization of the machining process. Type A and B, total, and expanded uncertainties were considered herein, and the obtained uncertainty values were assessed. A procedure for optimizing machining by applying the Monte Carlo (MC) method is also presented. The solutions presented in this paper are important from the point of view of practical solutions related to the prediction and optimization of the machining process. The considered procedure for determining and assessing uncertainty can be useful for the optimal selection of both machining parameters and measuring tools.

No abstract