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The static FEA results identified opportunities to optimize existing maintenance, inspection, and operating practices. Recommendations are made regarding inspection, repair, and operation of haul trucks based on the ambient temperature, crack depth and length.
A study was performed to understand the mechanism of frame cracking on the mining haul trucks in an oilsands' operating site. A static finite element analysis (FEA) was completed to identify the high stress areas prone to cracking, and recommendations for extending the service life were attained through Fatigue Analysis and Brittle Fracture Assessment.In order to perform this FEA, an accurate 3-dimensional (3D) solid model of the truck frame was built by completing a laser scan of the entire truck frame surfaces. External static loads were applied to this generated 3D solid model for each load case to determine the stresses within the frame. Each load case was then examined to determine its contribution to the total fatigue life consumption, and also determine the critical crack dimensions to prevent brittle fracture.The static FEA results identified opportunities to optimize existing maintenance, inspection, and operating practices. Recommendations are made regarding inspection, repair, and operation of haul trucks based on the ambient temperature, crack depth and length.Key words: oilsands, truck frame, cracking, fatigue, brittle fracture, finite element analysis
Slurry pipeline systems are used to process and transport mined ore and tailings in the oil and gas and mining industries. The handling processing and transporting of these slurries result in significant pipe wall material losses or wear. For the most widely used material carbon steel these losses are attributed to the combined effects of erosion/abrasion and corrosion due to the exposure of pipe wall materials to an aerated mixture of solids and liquids. In an attempt to mitigate this challenge some end-users such as mined oil sands operators have adopted polymer based pipe liner which basically only experiences erosion or abrasion damage. Models can be used as a predictive tool to optimize slurry design and processes material selection and/or even used as a tool for preventive maintenance. They are also being employed for technology assessment and product evaluation. These benefits are realized if the models are based on underlying mechanics or phenomena in the real systems. Unarguably there are a significant number of models for erosion-corrosion especially erosive wear. These models have a varying degree of accuracy which is partly due to the fact that most of them are based on some degree of empiricism and may lack accurate information on key parameters. Unfortunately models for wear which usually occurs in dense slurries are very limited despite most slurry applications fall under this category. As part of a broader wear model development project at our company this work focuses on validations of existing abrasive wear and/or abrasive-corrosion models. This work adopts computational fluid dynamic (CFD) as a tool to model abrasive wear and/or abrasion-corrosion in horizontal pipeline dense slurries. These CFD results will be compared with previously acquired wear data in our pilot-scale slurry flow loop for mild and dual-phase stainless steels pipe spools. The model performance will be presented and discussed with recommendations for future works.Key words: Wear; Pipeline; Slurry; Oil sands; Abrasion-corrosion; Flow Loop; CFD; modeling
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Lab tests, assessments and technical studies/literature reviews were done concerning common commercial Chromium Carbide Overlay (CCO) products to understand the effects of overlay composition and welding parameters on underbead cracking, mechanical properties, and wear/abrasion resistance.
This paper will present a case study, which will outline the challenges and lessons learned with corrosion in a Mine project in Chile where the internal corrosion of the seawater conveyance line caused a number of technical, project schedule and budget impacts during the commissioning stage of the project.