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Gray cast iron (СЧ 20) specimen with antifriction coatings; base metal micro-relief pitch (t = 0.05 mm); SPT cutting edge geometry in terms of ( = 1 = 45°); contact pressure on the surface (q = 13.6 MPa); a) bronze (ОЦС 5-5-5); b) brass (Л63); c) copper (М1)

Gray cast iron (СЧ 20) specimen with antifriction coatings; base metal micro-relief pitch (t = 0.05 mm); SPT cutting edge geometry in terms of ( = 1 = 45°); contact pressure on the surface (q = 13.6 MPa); a) bronze (ОЦС 5-5-5); b) brass (Л63); c) copper (М1)

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The paper presents studies aimed at improving the quality of the application of antifriction coatings by finish antifriction non-abrasive treatment (FANT). It is proved that one of the conditions for the formation of a high-quality anti-friction coating is the targeted formation of favorable shapes and sizes of microroughnesses in the operations pr...

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... Another example of DB using as a component of a SE hybrid method is our technology of antifriction coatings, which includes mechanical surface preparation as a basis for creating regular microrelief, frictionmechanical coating and finishing processingby deforming broaching [15]. The essence of the proposed and the participation of the DB are as follows. ...
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This paper presents the results of research aimed at improving the quality of antifriction coatings obtained by finishing antifriction non-abrasive treatment (FANT). It has been previously established that the formation of an antifriction coating during FANT largely depends on the technological parameters that determine the conditions of contact between the tool and the surface being treated. The study of the peculiarities of surface contact, their regularities, as well as the main parameters of the FANT process, makes it possible to improve the quality of the antifriction coating, and therefore the operational properties of the part. The aim of the presented research is to evaluate the influence of technological factors of the FANT process on the quality of antifriction coatings and to obtain their rational values. The indicators of the quality of the antifriction coating are its continuity, surface roughness and mass transfer of the antifriction material. The optimisation parameters are the main modes of FANT and the geometrical characteristics of the initial surface to be treated. To determine the influence of the selected factors on the indicators characterising the quality of the antifriction coating, a central composite plan matrix was implemented, which allowed us to obtain mathematical models of the influence of factors on the adopted response functions. The processing of the experimental data was carried out using the STATISTICA 12.0 software package. As a result of the multifactorial experiment, statistical models were obtained that allow assessing the impact of the studied factors on the optimisation criteria. The significance of the obtained coefficients was checked using the Student's criterion, and the adequacy of the obtained equations was checked using the Fisher's criterion. A detailed analysis of the Pareto map and tabular results of the experiment allowed to establish the influence of the research factors on the optimisation criteria. The obtained mathematical models made it possible to determine the optimal combination of technological factors that ensure the quality of the coating, as well as to establish the rational values of FANT modes and geometric characteristics of the output surface.