Wear work-rates

In fretting wear, work-rate is defined as the rate of energy dissipation when a tube is in contact with its support. Energy is being dissipated through friction as the tube moves around in contact with its supports. A force (the contact force between tube and support) multiplied by a displacement (as the tube slides) results in work or dissipated energy required to move the tube (Taylor et al., 1998, Au-Yang, 1998). Normal work-rate Wn for different tube and tube support plate material combinations and different geometries (Au — Yang, 1998) is defined.

Подпись: (35)Wn = ^ J FndS

where T is the total time, Fn is the normal contact force, and S is the sliding distance.

(Au-Yang, 1998) has assessed the cumulative tube wall wear after 5, 10, and 15, effective full power years of operation of a typical commercial nuclear steam generator, using different wear models.

The EPRI data reproduced from (Hofmann & Schettlet, 1989) in Figure 14 shows the wear volume against normal work-rate for the combination of Inconel 600 tube (discrepancy as plot shows J 600 whereas text indicates Inconel 600) and carbon tube support plate, a condition that applies to many commercial nuclear steam generators (Hofmann & Schettlet, 1989). Figure 15 shows the tube wall thickness loss against volumetric wear for different support conditions (Hofmann & Schettlet, 1989).

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Fig. 14. Volumetric wear rate versus normal work-rate for different material combinations (Hofmann & Schettlet, 1989).

 

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Fig. 15. Tube wall thickness loss versus volumetric wear for different support conditions, from Hofmann and Schettler (Hofmann & Schettlet, 1989).

 

(Payen et al., 1995) have carried predictive analysis of loosely supported tubes vibration induced by cross-flow turbulence for non-linear computations of tube dynamics. They have analyzed the gap effect and have concluded that wear work-rate decreases when the gap value increase at low velocities. (Peterka, 1995) has carried out numerical simulation of the tubes impact motion with generally assumed oblique impacts. (Charpentier and Payen, 2000) have carried out prediction of wear work-rate and thickness loss in tube bundles under cross-flow by a probabilistic approach. They have used Archard’s Law and wear correlation depending on the contact geometry, and have concluded that most sensitive parameters that affect the wear work-rate are the coefficient of friction, the radial gap and the spectral level of turbulent forces.

(Paidoussis & Li, 1992) and (Chen et al., 1995) have studied the chaotic dynamics of heat exchanger tubes impacting on the generally loose baffle plates, using an analytical model that involves delay differential equations. They have developed a Lyapunov exponent technique for delay differential equations and have shown that chaotic motions do occur. They have performed analysis by finding periodic solutions and determining their stability and bifurcations with the Poincare map technique. Hopf bifurcation is defined as the loss of stable equilibrium and onset of amplified oscillation (Paidoussis & Li, 1992).

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Fig. 16. The bifurcation diagram (Paidoussis & Li, 1992, Chen et al., 1995)

A typical bifurcation diagram for the symmetric cubical model with P /D = 1.5 , is given in Figure 16 showing dimensionless mid-point displacement amplitude in terms of dimensionless fluid velocity. Where UH denotes critical U for Hopf bifurcation, UD, is the first post Hopf bifurcation, and UCH denotes the onset of chaos. Total wear work rates against pitch velocity and mass flux have been given by (Taylor et al., 1995) and (Khushnood et al., 2003).

Researchers

Salient fretting — wear features

(Rubiolo & Young, 2009)

• The evaluation of turbulence excitation is very challenging.

• Identification of key wear factors that can be correlated to assembly operating conditions.

• Functional dependence of wear damage against identified factors.

• Grid cell clearance size and turbulence forces as key risk factors for PWR fuel assemblies.

• Grid misalignment and cell tilts are less important.

• Minimization of wear risk through modification in core loading.

(Jong & Jung, 2008)

• Fretting wear in helical coil tubes steam generator.

• Thermal-Hydraulic prediction through FEM.

• Emphasis on the effects of number of supports, coil diameter and helix pitch on free vibration modes.

• Design guidelines for designers and regulatory reviewers.

(Attia, 2006a)

• Investigation of fretting wear of Zr-2.5% Nb alloy.

• Experimental setup includes special design fretting wear tribometers.

• Fretting wear is initially dominated by adhesion and abrasion and then delamination and surface fatigue.

• Volumetric wear loss decreased with number of cycles.

(Attia, 2006b)

• Fitness for service and life management against fretting fatigue.

• Examples of fretting problems encountered in nuclear power plants.

• Methodology to determine root cause.

• Non-linearity of the problem and risk management.

• Critical role of validation experimentally (long term) under realistic conditions and to qualify in-situ measurements of fretting damage non-destructive testing.

(Rubiolo, 2006)

• Probabilistic method of fretting wears predictions in fuel rods.

• Non-linear vibration model VITRAN (Vibration Transient Analysis).

• Numerical calculations of grid work and wear rates.

• Monte carlo method applied for transient simulations (due to large variability of fuel assemble parameters).

• Design preference of fuel rods.

(Kim et al., 2006)

• A way toward efficient of restraining wear.

• Increase in contact area through two different contours of spacer grid spacing.

• Consideration of contact forces, slip displacement and wear scars on rods to explore mechanical damage phenomenon.

• It concludes that the contact shape affects the feature and behavior of length, width and volumetric shape of wear.

• A new parameter "equivalent depth" is introduced to represent wear severity.

Table 7. Salient features of some recent researches on fretting wear Damage in Tube Bundles.

A generalized procedure to analyze fretting — wear process and its self — induced changes in properties of the system and flow chart for fretting fatigue damage prediction with the aid of the principles of fracture mechanics is presented in figure 17 & 18 respectively.

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Fig. 17. System approach to the fretting wear process and its self-induced changes in the system properties (Attia, 2006a).

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Fig. 18. Flow chart for the prediction of fretting fatigue damage, using fracture mechanics principles (Attia, 2006a).