Wear Analysis of a Ti-5Al-3V-2.5Fe Alloy Using a Factorial Design Approach and Fractal Geometry

El-Morsy, Abdel-Wahab

doi:10.48084/etasr.1743

Cited by 9 publications

(8 citation statements)

References 19 publications

(22 reference statements)

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“…In the images taken for the 8 specimens at the same magnification, the dark regions show the α phase, while the light regions present the β phase [25]. The presence of delamination wear, abrasion and debris in the SEM pictures of Ti-6Al-4V is in accordance with the test results of other titanium alloy testing [26]. IV.…”

Section: E Scanning Electron Microscopy (Sem)supporting

confidence: 81%

Mechanical Properties of Powder Metallugry (Ti-6Al-4V) with Hot Isostatic Pressing

Elfghi

Günay

2020

Eng. Technol. Appl. Sci. Res.

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Titanium alloys are widely used due to their high performance and low density in comparison with iron-based alloys. Their applications extend to aerospace and military in order to utilize their high resistance for corrosion. Understanding the mechanical properties and microstructure of titanium alloys is critical for performance optimization, as well as their implications on strength, plasticity, and fatigue. Ti-6Al-4V is an α+β two-phase alloy and is considered one of the most commonly used titanium alloys for weight reduction and high-performance. To avoid manufacturing defects, such as porosity and composition segregation, Hot Isostatic Pressing (HIP) is used to consolidate alloy powder. The HIP method is also used to facilitate the manufacturing of complex structures that cannot be made with forging and casting. In the current research, Ti-6Al-4V alloys were manufactured with HIP and the impact on heat treatment under different temperatures and sintering durations on the performance and microstructure of the alloy was studied. The results show changes in mechanical properties and microstructure with the increase of temperature and duration.

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Section: E Scanning Electron Microscopy (Sem)supporting

confidence: 81%

Mechanical Properties of Powder Metallugry (Ti-6Al-4V) with Hot Isostatic Pressing

Elfghi

Günay

2020

Eng. Technol. Appl. Sci. Res.

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“…It has been shown in previous studies that worn surfaces contain information that can be used in prediction of operational health status of components and machines [1][2][3][4]. However, this information was lacking of details and hence its utilization is limited.…”

Section: Introductionmentioning

confidence: 99%

En Route to the Automated Wear Surface Classification System: Differentiating Between Adhesive, Abrasive, and Corrosive Wear Under Different Load Conditions

et al. 2020

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From the industrial view point, an automated classification system of worn surfaces is highly desirable for the monitoring and prediction of the operational health status of machines and their components. Optical microscopy images of abrasive and adhesive wear surfaces were obtained and analyzed using recently developed directional blanket covering (DBC) and DBC curvature (DBCC) methods. As these methods have the unique ability of to measure the surface roughness and curvature complexity at individual scales and directions, minute differences have been detected. In the present study, both DBC and DBCC methods were evaluated in differentiating between surfaces generated under abrasive, adhesive, and corrosive wear modes under different operating conditions, i.e., exhibiting different wear severity. The wear surfaces were imaged using an optical microscope and a confocal surface profilometer. Results obtained showed that the methods can detect minute differences between the wear modes and different wear severity, regardless of the imaging technique used. This is an important step in the development of machine diagnostic and prognostic systems/tools based on the images of worn surfaces.

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“…Worn surfaces of titanium alloys were generated during tests conducted at different sliding distances and loads. 3 It was shown that the roughness of the surfaces increases monotonically with the sliding distance and stress. These findings could be of use in the estimation of wear rate in manufacturing of titanium-based products.…”

Section: Introductionmentioning

confidence: 99%

“…Visual assessment of wear surfaces has been traditionally used as a method of choice. 2,3,6 Although it can be useful, the assessment is subjective and requires highly trained experts. Thus, computer-based techniques are gradually being developed and employed.…”

Section: Introductionmentioning

confidence: 99%

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Towards the automated classification system of worn surfaces

Wolski

Woloszynski

Stachowiak

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part J:

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Wear dictates the machine performance, its reliability, and ultimately its lifetime. It is therefore important to know what is the wear status of the machine. The assessment can be done visually which is costly and not always possible (e.g. engines). Therefore, the development of an automated analysis and classification system of worn surfaces is highly desirable. Before such system is developed, surface characterization and classification methods must be first developed and tested. In this paper, we show how the recently developed methods, i.e. directional blanket covering and directional blanket covering curvature, have been adapted to solve this problem. The methods, unlike current standards/methods, measure surface roughness and curvature complexities at individual scales and directions. The methods’ ability to differentiate between microscopy images of abrasive and adhesive wear surfaces was evaluated. Minute differences between the two wear modes were detected. This could be of importance in machine condition diagnostic since abrasive and adhesive wear account for most of the machine failures.

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Wear Analysis of a Ti-5Al-3V-2.5Fe Alloy Using a Factorial Design Approach and Fractal Geometry

Cited by 9 publications

References 19 publications

Mechanical Properties of Powder Metallugry (Ti-6Al-4V) with Hot Isostatic Pressing

Mechanical Properties of Powder Metallugry (Ti-6Al-4V) with Hot Isostatic Pressing

En Route to the Automated Wear Surface Classification System: Differentiating Between Adhesive, Abrasive, and Corrosive Wear Under Different Load Conditions

Towards the automated classification system of worn surfaces

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