Optimization of Wear-Resistant Alloys for Mining Equipment in Ontario

Thesis Abstract

Mining operations in Ontario are increasingly challenged by the significant wear and tear experienced by equipment components, particularly those exposed to abrasive and erosive conditions prevalent in the region’s mineral extraction sites. Despite advancements in alloy development, material failure due to wear remains a critical factor affecting equipment longevity, operational efficiency, and maintenance costs. Addressing this issue requires the systematic optimization of alloy compositions and microstructures to enhance wear resistance while maintaining cost-effectiveness and mechanical integrity. This study aims to develop and optimize wear-resistant alloy formulations tailored for mining equipment in Ontario, with specific objectives to investigate the relationship between alloy compositional modifications and wear behavior, identify microstructural factors contributing to increased wear resistance, and establish predictive models for alloy performance under operational conditions. The research adopts a quantitative, experimental approach supplemented by statistical modeling, leveraging a true experimental design to evaluate the effects of various alloy compositions on wear resistance. The study population comprises a series of alloy samples synthesized using controlled metallurgical processes, with an initial sample size of 150 specimens systematically categorized into different composition groups based on the primary alloying elements such as chromium, molybdenum, and carbon content. Purposive sampling ensures the inclusion of compositions relevant to existing mining equipment applications. Data collection involves two key instruments a precision wear testing apparatus capable of simulating abrasive and erosive conditions comparable to those encountered in Ontario’s mining environments, and a microstructural analysis tool using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) to characterize the alloy microstructures. The primary method of data analysis involves statistical techniques such as analysis of variance (ANOVA) to determine significant differences in wear performance across alloy groups, alongside multiple regression analysis to develop predictive models linking compositional parameters to wear resistance metrics. Additionally, the study employs differential scanning calorimetry (DSC) and X-ray diffraction (XRD) to analyze phase transformations and microstructure evolution during alloy processing. The theoretical framework draws upon Tribological Theory and the Alloy Design Theory, integrating principles of materials science and surface engineering to elucidate the mechanisms underlying wear resistance improvements. Expected findings indicate that specific alloy compositions, notably those with optimized chromium and molybdenum levels, significantly enhance wear resistance by promoting the formation of hard carbides and refined microstructures. It is anticipated that the models developed will reliably predict alloy performance, facilitating targeted alloy design for mining applications. The findings are expected to contribute valuable insights into the microstructural attributes most conducive to wear resistance, filling existing gaps in empirical data regarding alloy behavior under actual mining conditions in Ontario. This research provides a systematic foundation for alloy engineers to tailor materials for demanding mining environments, ultimately extending equipment life and reducing maintenance costs. The study also advances theoretical understanding by integrating metallurgical, tribological, and modeling perspectives. Based on the results, recommendations include the adoption of specific alloy formulations in equipment manufacturing and guidelines for microstructural optimization during alloy production. Future research avenues proposed include field validation of the optimized alloys and exploration of nano-engineered surface treatments to further enhance wear performance. Overall, this thesis significantly advances knowledge in materials engineering for heavy industry, bridging laboratory research and practical mining applications to ensure sustainable and cost-effective mineral extraction in Ontario.