Elsevier

Wear

Volume 270, Issues 9–10, 4 April 2011, Pages 598-605
Wear

An effective modeling tool for studying erosion

https://doi.org/10.1016/j.wear.2011.01.016Get rights and content

Abstract

Visual erosion examples based on that occurred in the minerals and oil and gas industries are illustrated by a paint modeling technique. The visual paint patterns were used to illustrate erosion damage “hot spots”. This provided an insight into the underlining fluid dynamics process involved with erosion damages. This insight allows design changes to be made to reduce erosion, illustrated by examples in this paper. The patterns of erosion damages on paints were found to be similar to that occurred with metal materials. This was supported by a similarity in measured erosion angular erosion distribution with cylindrical samples. Error analysis suggested that spatial variations in velocity across a material surface accounted for most of the error in the paint modeling technique.

Due to its low cost and rapidity, the technique is particularly suitable for developing and optimizing the design of flow geometries to reduce erosion, without the need to change the materials used.

Research highlights

► Many practical erosion case examples presented. ► Paint modelling applications illustrated, showing underlining mechanisms, and solution success. ► New data to show and consolidate knowledge on the paint erosion behaviour, in comparison with metal data. ► Analysis equations on the paint modelling error provided, for the first time. ► Finally, this is paper summarizing the extensive experience, success story at CSIRO, Australia on this topic, serving the minerals processing industry.

Introduction

Particulate erosion on material surfaces is common in many process industries, particularly in the minerals processing industry. To reduce erosion due to solid particle impact on the surfaces of materials in multiphase flow equipment, it is general practice to use wear-resistant materials or coatings/surface hardening treatments. This paper focuses on research aimed at reducing the surface erosion of materials through flow geometry modification, without changing the materials used or their properties. As erosion rate is a function of particle velocity and particle impingement angle [1], [2], [3], [4], [5] for any given material and physical properties of particles, this fluid dynamics-based approach can be effective for erosion reduction.

Erosion is often found to be unevenly distributed, and localized deep material loss or holing can lead to functional failure, even if most of the equipment remains undamaged. Fig. 1 shows typical examples of equipment erosion experienced in the minerals industry. It is reasoned that the geometry of an equipment can be modified to alter the flow field so that erosion is more evenly distributed, thereby reducing local maximum erosion rates and thus extending the functional life of equipment.

To achieve erosion reduction via a fluid-dynamics approach, it is essential to model or simulate changes in both erosion rate and distribution as a function of any geometrical modifications. To this end, a computational fluid dynamics (CFD) erosion modeling technique has been developed [6] that incorporates experimentally measured erosion data for cylinders in-pipe flow. However, it is clear from our work thus far that it remains a major challenge to reliably predict erosion patterns via CFD alone, particularly for highly complex multiphase flows such as those with time-dependent vortices, and therefore physical experiments to assess any new design concept are still required to validate CFD predictions.

Materials are often characterized as either ductile or brittle, according to their differing erosion rate versus angle of attack curves [3]. For ductile materials, the erosion rate reaches a maximum value at impact angles of 10–30° (defined as the acute angle between particle impingement direction and material surface), whereas hard, brittle materials experience maximum wear at greater impact angles. For example, the maximum erosion rate of a brittle alumina-based ceramic material is in the range of 70–90°.

Erosion of metals is the major problem addressed by this paper, as metals are widely used in the mineral processing industry. Metals such as mild steels, aluminum and titanium often exhibit ductile or mixed ductile/brittle behavior [1]. Thus it is reasonable to consider using paint as a model material for visualizing the erosions on metals, as paint exhibits similar ductile behavior [7].

Wu et al. [8] and Noui-Mehidi et al. [9] have shown the feasibility of using the multilayer paint technique to produce accelerated and highly visible erosion damage in various flow geometries, to assist in the development of improved geometrical designs that minimize erosion. This paper expands on these previous results, and provides a summary of the basic technical procedures and an error assessment of the paint modeling technique, as well as further examples of its use in developing improved designs.

The objective of this paper is to present erosion solution cases, developed from applying the paint modeling technical through laboratory or site testing, with validation by error analysis and cylindrical sample measurements.

Section snippets

Erosion test rigs

Two experimental flow loops were set up, as shown schematically in Fig. 2, Fig. 3. The slurry flow test loop (Fig. 2), consisted of a 3000-L agitated slurry holding tank, a Warman 3 × 2 slurry pump, an Emerson magnetic flowmeter. Typically silica sand (Garfield sand) of d50 = ∼200 μm were used as erodent particles. Tap water was used as the liquid phase. A solid concentration of 7% (w/w) was used in the tests. Sand/water slurries were recirculated at typical velocity range of 0–10 m/s. The test

Validating paint erosion modeling technique

Fig. 4(a) shows the results of a test on a rotating cylindrical rod placed horizontally in a slurry pot (Fig. 4(b)). It can be seen that a double-wedge erosion pattern developed along the rod surface. Note that the angular location of the axes (approximately 20–30° from the frontal normal face) of the double-wedge corresponds to where the angles of particle impingement produced peak erosion. It can be estimated, based on CFD particle flow modeling by Lester et al. [6] that this corresponds to

Error analysis

Due originally to Finnie [3], an erosion model of the following form has been widely accepted in the literature:E=kVnf(a)where E is mass eroded divided by total mass of particles impinging on a surface; k is a constant that depends on material properties (e.g. hardness); V is particle impingement velocity; n is an empirical coefficient (n = 1.8–2.3 for ductile material, n = 2.0–4.0 for brittle materials); and α is the particle impingement angle (f(a) is a dimensionless function dependent on

Conclusion

This paper presents extensive case examples and solutions on erosion patterns developed on industrial equipments with assistance of a rapid and low-cost multilayer paint modeling technique. The technical was found suitable for visualizing the erosion distribution on material surfaces exposed to particulate-laden flows. An error analysis and validation of the technique via comparisons with other experimental techniques and full-scale equipment show that the technique is suitable for use in the

Acknowledgements

The authors are grateful for the support of CSIRO Minerals DU Flagship, Alcoa World Alumina, BHP Billiton/Worsley Alumina, Rio Tinto Alcan and Tyco Flow Control, who sponsored this work through the AMIRA International Collaborative Research Project P931 ‘Reduced Erosion in Multiphase Flow Equipment’. We also wish to acknowledge Huping Luo of Chevron for collaboration and support, and Lawrence Cheung of CSIRO for the artwork and photos.

References (11)

There are more references available in the full text version of this article.

Cited by (19)

  • Experiments and CFD-based erosion modeling for gas-solids flow in cyclones

    2017, Powder Technology
    Citation Excerpt :

    Table 3 shows the erosion models, their parameters and constants. The DNV [26] erosion model has been widely used in the literature [13,17,36,43–48] and it is also known as the general erosion model. The material constant, K, is dependent on the wall and particle properties [1,49].

View all citing articles on Scopus
View full text