Theoretical and Experimental Identification of Frequency Characteristics and Control Signals of a Dynamic System in the Process of Turning

Abstract

The article presents the results of the experimental validation of the developed static, time and frequency characteristics under interference and longitudinal feed control of a dynamic system in the process of turning axisymmetric parts. The experiments were conducted on a test bench, consisting of a 16B16P center lathe, a measuring system and a PC with a measurement card. The experiments were carried out to verify the assumptions of the baseline model of the turning process. As part of the study, we determined the static characteristics of the machining process, the time characteristics of the object under interference and under longitudinal feed rate control, and the frequency characteristics of the machine tool system under longitudinal feed rate control. During the experiments, we recorded the observed input and output signal curves and the observed characteristics of the interferences acting on the object, as well as the numerical values of the parameters of the equations describing the model, and in particular the gain of the elastic system, which is difficult to determine by analytical methods. The positive results of the experiments confirm the effectiveness of the proposed models and their usefulness for automation of machining processes.

Influence of the Compliance of a Technological System on the Machining Accuracy of Low-Stiffness Shafts in the Grinding Process

“…The desire to reduce the amount of materials used in the construction of mechanisms and machines, as well as the functional uses of some parts, makes it necessary to produce precise low-stiffness parts [ 1 , 2 , 3 , 4 , 5 , 6 ]. Rotationally symmetrical parts (shafts, turbine rotors, pumps, lead screws, etc.)…”

Technological Methods for Controlling the Elastic-Deformable State in Turning and Grinding Shafts of Low Stiffness

“…The specificity of low-rigidity shafts’ processing makes it difficult to obtain certain parameters of the shape accuracy, dimensions, and surface quality [ 15 , 16 ]. The low stiffness of the shaft, as compared to the rigid assemblies of the machine tool, causes vibrations under certain conditions [ 17 ]. During machining, there are many factors that disturb and destabilize this process (the deformation of the parts, tools, devices, chips, dust, etc.…”

Adhesive Joint Degradation Due to Hardener-to-Epoxy Ratio Inaccuracy under Varying Curing and Thermal Operating Conditions

“…Conducting a large number of destructive experimental tests is often not possible due to time and economic constraints. The methods for solving such a problem can include the implementation of mathematical modelling [ 21 , 22 ], computer methods such as the finite element method (FEM) [ 23 , 24 , 25 , 26 , 27 , 28 ], the boundary element method (BEM) [ 29 , 30 ], the application of predictive models [ 31 , 32 , 33 ], machine learning methods [ 33 , 34 , 35 , 36 ] and analytical data analysis [ 37 , 38 ]. The models developed by this approach allow the most important relationships between individual parameters and mechanical properties to be determined.…”