Wear

The raw data here are used to calculate the AHPM (“Averaged Aggregate Hardness Parameter”) parameters of pavement surfaces and to determine their capacity of skid resistance in the long term. They are composed by : • the type of aggregates and their proportions by volume in each pavement, • the calculated of the Aggregate Hardness Parameter (AHP) and • the determined AHP of each of the pavements. After the calculation of this parameter and with the help of analytical functions that we recall below, the skid Resistance capacity of that asphalt su, facing in the long term will be deduced. This long-term skid resistance value corresponds to that determined in the test with the Wehner Shulz machine.

Raw data for the paper titled by "Wear debris of friction materials for linear standing-wave ultrasonic motors: theory and experiments"

This is the original data of this manuscript.

3 animations of the 3D models created in VGStudios from CT data volumes derived from scans of in service squat type defects/ studs. 6 videos of scan othroslices showing the defect one slice at a time moving through the rail defect, longitudinally or cross-sectional (marked as x in title). Sample 2 animation is only of branched region of sample 2 defect as large scale scan could not be effectively modelled.

Data for: Wear and friction of thin, large diameter acetabular liners made from highly cross-linked, vitamin E stabilized UHMWPE against CoCr femoral heads

Raw data for casein gel wear testing

The data provided takes the form of tabulated tool wear data, considering tool wear over different parts of the tool: tool flank, rake face and outside edge. Data on cutting forces is also provided post-analysis, due to the extremely high volume of wear data. Analysis is a simple averaging process.

WLTP based brake wear cycle including: Second-by-second data of the speed/time trace. Location and duration of trip breaks. Cycle edges: Since the cycle is rectified there are only certain points needed to reproduce the cycle. These data points that build up the speed/time trace are listed here. Stop overview: Each of the 303 stops is listed with indiviudal stop nr., start time within the cycle (without any trip breaks), initial and final velocity as well as brake duration and deceleration.

Average values and standard deviations from wear and particle concentration studies

Despite the significant progress in understanding the wear mechanisms and associated factors, steels for components susceptible to wear are developed primarily based on their hardness. The hardness often is achieved by martensitic transformation. Increasing the carbon concentration and substitutional solute content may also help. Hardness certainly helps to improve the wear properties, but it is known in the context of lifting and excavation equipment that other properties, such as toughness, may also play a role. In any event, it always is necessary to optimise a basket of properties rather than a single parameter, because the manufacture of a component requires a combination of performance criteria. It also is clear that a variety of microstructural features can influence the overall wear properties, although the results are not quantitative and the relationships claimed can be uncertain. The aim of work presented in this thesis is to study of role of toughness in increasing wear resistance in impact-abrasion conditions, in an experiment that, for the first time, decouples toughness from microstructure- and hardness-induced effects. The relevant literature has been critically examined to highlight the roles of properties other than hardness, such as fracture toughness, the work hardening rate and microstructural considerations in determining wear resistance of steel. In the work presented in the thesis, a remarkable new steel has been studied to reveal the role of toughness on a particularly dramatic wear scenario involving both abrasion and impact. The steel has very high toughness, (72.0 ± 1.5)MPa√m, and yet is hard, 561 ± 23 HV. The same steel was heat-treated to produce another variant with poor toughness but similar microstructure. It is demonstrated with clarity that the toughness becomes incredibly important in impact-abrasion, though not during abrasion on its own. The steel with high fracture toughness performed better during impact-abrasion wear tests compared to the other variant with poor toughness but high hardness and similar microstructure. Detailed microscopy and other characterisation techniques have revealed explanations for these observations. Based on the laboratory test results, full scale trials were undertaken in an integrated steel plant and the performance of a novel steel has been satisfactory thus far.