• MACHINES

    EMBEDDED RESEARCHES ON ADAPTIVE PARAMETRIC MODELING OF HYDRAULIC GEAR PUMPS

    Machines. Technologies. Materials., Vol. 12 (2018), Issue 3, pg(s) 90-93

    This paper presents some of the research results on a fundamental and applicative procedures regarding the integrated intelligent conception of a Romanian series of hydraulic gear pumps. Following the analysis of the pump series in the manufacturing process, the requirement for a modernized parametric design of this product has been identified. Thus, we observed the beneficiaries’ requirement for certain flows that are currently not provided by the current range of pumps. The parametric design of the pump leads to an easy and adaptive modification of the supplied flows, resulting in an innovative methodology which is very useful for the design and process engineers. The methodology is based on a computer-aided 3D modeling, specific pressure, drive torque, flow rate, etc. Each of these parameters leads to the intelligent modification of the certain geometric and functional features of the pump series designed to be adaptable to the dynamic demands of a modern economy.

  • EXAMINATION OF ACOUSTIC PROPERTIES OF A GEAR PUMP AFTER TOOTH ROOT UNDERCUTTING USING THE INDUCTION OF DECISION TREES

    Machines. Technologies. Materials., Vol. 10 (2016), Issue 7, pg(s) 19-22

    Among cavity pumps used in hydraulic drive systems as energy generators, gear pumps are the most widespread. Apart from their numerous advantages from the point of view of noisiness and the delivery fluctuation coefficient, they are inferior to others. Steps are undertaken to decrease the noisiness. According to the research results, own acoustic parameters of the pump depend on the technology and performance quality as well as on the geometrical features of the tooth profile. The paper is restricted to the analysis of acoustic properties of an innovative gear unit after tooth root undercutting. Acoustic properties have been described with taking into consideration induction of decision trees and decision rules.