The article uses approaches to the comparison of rock-crushing working bodies based on the use of complex indicators of the quality of construction machines used on construction sites. The use of such indicators is due to the need for constant improvement of existing equipment and the creation of new ones taking into account existing needs. Today, in Ukraine, there is a need for efficient implementation of construction works related to the laying of main pipelines. This, in turn, poses the task of determining the efficiency of performing mechanized earthworks during the laying of engineering networks. Complex indicators are grouped by characteristics. The first group includes indicators of classification, purpose, reliability, manufacturability, standardization and unification, patent law, aesthetics, ergonomics, safety. The second group consists of economic indicators. The third group is defined by indicators of competitiveness. Indicators of the 4th group and above evaluate the main groups of subsystems of machines or complexes of energy and technological purposes.
The need to create competitive earthmoving equipment requires the use of modern constructive solutions and their objective comparison at the design stage. In the course of the study, earthmoving working bodies for laying engineering networks of the type "cone cutter" and "end working body" in the form of a disk were compared. A comparison of the nominal and oscillating modes of operation of the end working body is also proposed. Design features of the working body of the type "cone cutter" and "end working body" are described. The results are summarized in the form of tabular data.
The proposed technical solutions open the possibility of variable use of rock-crushing work equipment of construction machines in accordance with the economic requirements and needs of the end user. The effectiveness of using the methods of comprehensive assessment of technical solutions lies in the possibility of their analysis by individual indicators, in combination, as well as when ranking the values of individual indicators according to significance.