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The aim of this paper is to design samples with an optimal convex pattern for steel plates of 100 mm by 100 mm to verify the simulation results in a test rig for industrial scale experiments in Newcastle, Australia. In order to find an optimal convex pattern, a stepwise optimization, one-factor-at-a-time, is performed by optimizing four parameters of convex patterns. The geometric convex patterns were evaluated with the aid of Discrete Element Method (DEM). The simulated material was iron ore with d50 of 4.6 mm sliding down a smooth chute transitioning into bionic surfaces of different geometric configurations. Hertz-Mindlin (no slip) model with the Archard wear model were implemented to calculate the sliding wear volume.

Considering the direct relation between the dimensions of convexes and the sizes of particles, the ratios of a0, b0, c0 and d0 to d50 were used for analysis simulation results. The results show that a chute surface with circular convexes with a radius of 6 mm (a0:d50=1.3), spaced 25 mm apart in both horizontal and vertical directions (c0:d50=5.4), is optimal in reducing wear. This sample configuration and smooth surface will be tested to verify the predictability of the simulation approach.]]> Wed 10 May 2023 13:20:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43991 Wed 05 Oct 2022 14:43:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50638 Mon 31 Jul 2023 16:20:56 AEST ]]>