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Wear and Erosion Studies for Industrial Equipment | Hamilton By Design

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Wear and Erosion Studies for Industrial Plant and Equipment Industrial equipment can continue operating even while substantial wear develops inside chutes, hoppers, pipes, tanks, ducts and processing equipment. The first visible signs may be leakage, damaged liners, reduced equipment performance or an unexpected failure. By this stage, the maintenance team may have limited time to determine: Where the most serious wear is located How much material has been lost Whether the damage is localised or widespread Which liners or plates need replacement Whether the supporting structure has been affected What repairs should be completed during the next shutdown A structured wear and erosion study can help turn these questions into measurable engineering information. What Is a Wear and Erosion Study? A wear and erosion study investigates the location, depth, pattern and likely causes of material loss from industrial equipment. Wear may result from repeated impact, sliding contact, abrasion, vib...

3D Laser Scanning for Haul-Truck Body Refurbishment

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3D Laser Scanning for Haul-Truck Body Refurbishment Turning Worn Truck Bodies into Measurable Engineering Data Mining haul trucks operate in some of the most demanding conditions found in heavy industry. Every loading and unloading cycle exposes the truck body—also known as the tray, tub, dump body or haul body—to impact, abrasion, vibration and material build-up. Over time, this operating environment can result in: Worn floor and sidewall plates Distorted body geometry Damaged liners and wear packages Cracking around structural connections Misaligned mounting points Localised deformation Reduced load-carrying efficiency Increasing repair and maintenance requirements The difficulty for maintenance and engineering teams is not simply identifying that wear exists. The greater challenge is determining the extent of that wear and establishing an appropriate refurbishment scope. Engineering-grade 3D laser scanning can provide the dimensional information needed to support that decision. Why ...