Optimization of Manipulator Drive Mechanisms in Hydraulic Excavators on the Basis of the Tribological Criterion

Abstract

The paper analyzes functional, structural, and tribological parameters of kinematic pairs (joints) of the kinematic chain and manipulator drive mechanisms of hydraulic excavators. To carry out the related analysis, the tribological criterion ensures the optimal synthesis of manipulator drive mechanisms of hydraulic excavators. This criterion determines the mechanical e ciency of drive mechanisms to re ect the tribological loss of the power of the excavator driving mechanism due to the friction between elements of the joints in manipulator drive mechanisms. This paper provides experimental results of tribological research and tribological criterion during the examination and synthesizes manipulator drive mechanisms of a hydraulic excavator with 17,000 kg in mass.

Optimization with Genetic Algorithm (GA): Planar Mechanism Synthesis

“…Teaching Learning-Based Optimization (TLBO) was applied in [10]. Pavlovic et al (2019) studied the optimal synthesis of manipulator drive mechanisms in hydraulic excavators [11]. Sardashi et al (2022) presented a methodology for path generation synthesis of the four-bar mechanism by introducing the Geometrical Similarity Error Function (GSEF) [12].…”