journal article·2024-02-01Open access

Effect of graphite additive on physical, mechanical, and wearing properties of Al 2 O 3 /E-glass/phenol formaldehyde hybrid composite grinding wheel

Amanuel Gebrekrstos Tafere, Alula Gebresas Gerezgiher, Abrha Gebregergs Tesfay

Abstract

The research was conducted to develop and assess the performance of composite grinding wheels enhanced with a graphite additive. These composite wheels were composed of aluminum oxide as abrasive and reinforcement material, E-glass as a reinforcement material, and phenolic resin as the matrix material. Various concentrations of graphite (4%, 8%, 12%, and 16% by weight) were incorporated into the composite formulations. Aluminum oxide, phenolic resin, and graphite were hand-stirred and combined. The mixture was then compressed at 94.4 MPa at room temperature, followed by heat treatment at 204°C for 50 min. The incorporation of graphite into Al2O3/E-glass/phenol formaldehyde composite grinding wheels significantly enhanced their mechanical properties and grinding performance. Increasing the graphite content up to 12 wt% in grinding wheels (GW3) resulted in a steady increase in density (from 1.9 g/cm³ to 2.1 g/cm³) and a corresponding decrease in porosity (from 16.5% to 3.6%) compared to the 4 wt% graphite-filled grinding wheels (GW1). Moreover, GW3 showed improvements in push-out strength by 60.6% (from 4.1 MPa to 6.57 MPa) and compressive strength by 15.7% (from 21.8 MPa to 25.17 MPa) compared to GW1. Wheels containing 16 wt% graphite (GW4) exhibited the lowest wear rate, reducing it by 89% (from 0.105 g/cm 2 to 0.019 g/cm 2 ) compared to GW1. These findings suggest that graphite incorporation is a promising approach for developing more durable and efficient grinding wheels, with the optimal graphite content for balancing strength and wear being 12 wt%.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Tribology and Wear Analysis · Advanced machining processes and optimization · Additive Manufacturing and 3D Printing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical and Industrial Engineering, EiT – M, Mekelle University, Mekelle, Ethiopia

Funding

Mekelle University

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