Ensuring quality and accuracy characteristics when restoring vehicle parts
Electroplating chromium-containing coatings on the surface of the parts to be restored is an effective way to increase their wear resistance and corrosion protection. The price of equipment used in various industries and having hydraulic or pneumatic actuators of the working parts, as well as the cost of maintaining it in working condition during operation, are largely determined by the ability to get the thickness in the process of restoring the coating with the specifi ed project and preserving the confi guration of the original part without the use of mechanical processing of galvanic coating. (Research purpose) The research purpose is to determine the features of changes in the performance characteristics of the deposited coating depending on changes in the parameters of electrolysis and mechanical action on the restored part. (Materials and methods) Authors carried out tests on experimental sleeves made of 30 HGSA steel on TU 14-1-950-74, to determine the performance parameters of machining parts by galvanocontact deposition. The research on algorithms calculated using the theory of experiment planning has been performed. (Results and discussion) The article presents the dependence of some operational parameters (microhardness of the coating and residual stresses in it) on various control factors (current density, temperature, tool pressure). The complete factorial experiment was of 24 plan. The regression equations of individual parameters characterizing the quality of the created coatings were determined using the experiment planning theory. It was noted that one of the non-stationary methods of electrolysis was used to obtain this type of precipitation; it is the coating with simultaneous 95 mechanical treatment in a galvanic bath during deposition. It was revealed that these coatings have compressive residual stresses, increased adhesion to the base, minimal thickness difference. (Conclusions) The studies provide an opportunity to predict the quality of the resulting coatings in the restoration of vehicle parts.