Optimization of Slider-Type Hydraulic Powered Support (SHPS) Using FEA and Response Surface Methodology

Abstract

Optimization design for SHPS is investigated in this paper. Through finite element analysis, SHPS with torsional load on the upper beam and base together is determined as the optimization object. The distance between the cross-section of the live column and the top end of the outer cylinder of the adjustment jack P1, the horizontal distance between axis of lug and rear linkage P2, and the angle P3 of the inclined ramp are chosen as the variable quantity, and the maximum von-Mises stress and maximum total deformation are chosen as evaluation indexes, the size range of each variable is defined in ANSYS WORKBENCH (AW). AW implements force analysis and Solidworks reconstructs the optimization object within the variable range. Two pieces of software jointly implement the continuous modeling and simulation automatically to achieve the 3 factors and 2 levels central composite design experiment of the optimization object. The simulation results after each model reconstruction are recorded in AW. The effects of three selected variables on evaluation indexes are studied and the optimum structure of SHPS is determined. Compared with the original design, the two evaluation indexes decreased by 2,37% and 2,40% respectively, which improves the supporting ability of SHPS efficiently.

Parameterisation and Optimisation of a Hand-Rake Sweeper: Application in Olive Picking

“…The distribution of tensions was determined again using the ANSYS software, obtaining lower von Mises tensions, from 155.81 MPa to 144.47 MPa, which is a 7.28% decrease (Figure 18). This von Mises stress reduction are higher than the one achieved by Yang et al [22], which was 2.40%. Conversely, authors such as Ghosh et al [14] have succeeded in reducing the stress significantly by 27.22% in a guided robotic arm, after adding a support in the link which can cause failure.…”