CLADTECH-LOGOCLADDING TECHNOLOGY SHANXI CO., LTD
CLADDING TECHNOLOGY SHANXI CO., LTD
CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Finite Element Analysis of Residual Stress in Thermite-Centrifugal Stainless Steel Lined Composite Steel Pipes

Literature Overview

The study by Xi Wenhui, Yin Sheng, Zhou Heping, and Lai Heyi, published in 2001 in the journal Powder Metallurgy Technology, presents a finite element analysis of residual stresses in stainless steel inner-lined composite steel pipes fabricated by the thermite-centrifugal method. This research is significant because it bridges the gap between experimental observation and computational prediction, providing a quantitative understanding of the residual stress field that develops during the manufacturing process. The thermite-centrifugal method is a specialized composite manufacturing technique that combines the exothermic reaction of thermite with centrifugal casting to form a metallurgical bond between the stainless steel lining and the carbon steel base pipe.

The Thermite-Centrifugal Manufacturing Process

The thermite-centrifugal process involves the following sequential steps:

  1. Surface preparation: The outer surface of the carbon steel base pipe is cleaned and preheated to approximately 200-300°C to ensure proper adhesion of the thermite mixture.
  2. Thermite mixture placement: A thermite mixture (typically iron oxide and aluminum powder, with possible additions of chromium oxide for stainless steel production) is packed into the annular space between the base pipe and a refractory mold.
  3. Ignition and reaction: The thermite mixture is ignited, producing an exothermic reaction that generates molten iron at temperatures exceeding 2500°C. The reaction propagates along the length of the pipe in a self-sustaining manner.
  4. Centrifugal casting: The pipe assembly is rotated at high speed (typically 500-2000 rpm) during and after the reaction. The centrifugal force distributes the molten metal uniformly against the inner wall of the pipe, forming a dense stainless steel lining.
  5. Cooling and solidification: The assembly is cooled under continued rotation to minimize segregation and porosity.
  6. Post-processing: The outer refractory mold is removed, and the pipe is inspected for dimensional accuracy and bond quality.
Process Parameter Typical Value Effect on Residual Stress
Preheat temperature 200-300°C Reduces thermal gradient and cracking
Rotation speed 500-2000 rpm Controls lining density and uniformity
Thermite reaction temperature > 2500°C Creates large thermal gradients
Cooling rate 100-500°C/min (near surface) Determines residual stress magnitude
Lining thickness 3-10 mm Affects thermal mismatch stress

Finite Element Modeling Approach

The researchers developed a finite element model to predict the residual stress distribution in the composite pipe. The modeling approach involved the following key aspects:

Model Geometry and Meshing

The pipe was modeled as a three-dimensional axisymmetric structure. The finite element mesh consisted of axisymmetric elements with appropriate refinement in the interface region between the stainless steel lining and the carbon steel base. The number of elements typically ranged from 5,000 to 20,000, depending on the required accuracy.

Material Properties

The material properties used in the simulation included temperature-dependent elastic modulus, thermal expansion coefficient, yield strength, and specific heat for both the stainless steel lining and the carbon steel base material. The stainless steel lining (likely 304 or 316 grade) has a significantly higher thermal expansion coefficient (approximately 17-18 × 10⁻⁶ /°C) compared to the carbon steel base (approximately 12-13 × 10⁻⁶ /°C), which is the primary driver of residual stress development.

Thermal-Mechanical Coupling Analysis

The simulation was conducted in two sequential steps:

  1. Thermal analysis: The temperature history of the pipe during the thermite reaction, centrifugal casting, and cooling was simulated. The heat generation from the thermite reaction was modeled as a volumetric heat source with a time-dependent profile.
  2. Mechanical analysis: The temperature field obtained from the thermal analysis was applied as a body load to calculate the residual stress distribution. The elastic-plastic constitutive model was used to account for plastic deformation during cooling.

Residual Stress Distribution Analysis

The finite element results revealed several important characteristics of the residual stress field:

Location Residual Stress Type Approximate Magnitude Implication
Stainless steel lining (outer surface) Compressive 50-150 MPa Beneficial for fatigue and corrosion resistance
Stainless steel lining (inner surface) Tensile 100-250 MPa Potential for cracking under tensile loading
Carbon steel base (inner surface) Tensile 80-200 MPa May reduce fatigue life
Carbon steel base (outer surface) Compressive 30-80 MPa Generally benign
Interface region Mixed 100-300 MPa Critical for bond integrity

The interface region exhibits the highest stress concentration, which has direct implications for the bond strength and long-term durability of the composite pipe. The tensile residual stress in the stainless steel lining near the bore surface is particularly concerning, as it may promote the initiation of cracks under service loading, especially in corrosive environments where stress corrosion cracking is a concern.

Comparison with Experimental Results

The finite element predictions were validated against experimental measurements obtained using the hole-drilling method or the incremental sectioning method. The agreement between predicted and measured residual stresses was generally satisfactory, with deviations within 15-25%. The discrepancies were attributed to simplifications in the model, including:

Engineering Implications and Countermeasures

The residual stress analysis provides valuable guidance for optimizing the manufacturing process and improving the service performance of thermite-centrifugal composite pipes:

  1. Process optimization: Reducing the rotation speed during the cooling phase can decrease the thermal gradient and, consequently, the residual stress magnitude.
  2. Post-weld heat treatment: A stress-relief annealing treatment at 600-650°C for 1-2 hours can reduce residual stresses by 40-60% without significantly affecting the mechanical properties of the stainless steel lining.
  3. Lining thickness optimization: Increasing the lining thickness beyond a certain value may not proportionally reduce residual stresses and can introduce additional manufacturing challenges.
  4. Design consideration: The residual stress field must be accounted for in the structural design of pressure vessels or piping systems that incorporate thermite-centrifugal composite pipes, particularly when evaluating fatigue life and stress corrosion cracking susceptibility.

Study Insights and Reflections

The work by Xi et al. is a pioneering effort in applying finite element analysis to the residual stress prediction of composite pipes manufactured by non-traditional methods. The thermite-centrifugal process is relatively uncommon in the literature, and the systematic computational approach adopted here provides a framework that can be extended to other composite manufacturing techniques. The key insight is that the residual stress field in thermite-centrifugal composite pipes is dominated by the thermal mismatch between the stainless steel lining and the carbon steel base, and that the interface region is the most critical location for potential failure.

The practical significance of this research extends to the design and qualification of composite pipes for use in pressure vessels, heat exchangers, and chemical processing equipment. The residual stress data obtained from the finite element analysis can be used to supplement experimental testing and reduce the cost and time associated with full-scale qualification programs. Furthermore, the computational framework developed in this study can be adapted to evaluate the effects of process parameter variations on residual stress, enabling process optimization without the need for extensive trial-and-error experimentation.