Finite Element Simulation of Temperature Field in Strip Electrode Submerged Arc Surfacing on Thick Plates
Literature Overview
The paper by Wang Zhifeng, Chen Peiyin, Wu Wei, Chen Yan, Chen Jianmin, and Bao Hong, published in The Journal of Welding (2009, Vol. 30, No. 1, pp. 89-92), presents a finite element simulation of the temperature field during strip electrode submerged arc surfacing (SESAS) on thick plates. The authors are affiliated with the Harbin Welding Research Institute of the Chinese Academy of Mechanical Sciences and China First Heavy Industries Group. This work addresses the challenge of modeling the unique thermal characteristics of strip electrode surfacing, which differs significantly from conventional wire electrode processes.
Core Technical Content
Strip Electrode Submerged Arc Surfacing Process
Strip electrode submerged arc surfacing is a high-deposition-rate process that uses a flat strip electrode (typically 20-50 mm wide) instead of a conventional wire electrode. Key process characteristics include:
| Parameter | Strip Electrode Surfacing | Conventional SAW Surfacing |
|---|---|---|
| Electrode Form | Flat strip (20-50 mm wide) | Round wire (1.6-4.0 mm diameter) |
| Welding Current | 1000-3000 A | 300-800 A |
| Arc Voltage | 25-35 V | 25-35 V |
| Travel Speed | 100-400 mm/min | 200-600 mm/min |
| Deposition Rate | 5-20 kg/h | 1-5 kg/h |
| Heat Input | High | Medium |
| Typical Application | Thick plate surfacing, large components | General surfacing |
The high deposition rate makes SESAS particularly suitable for surfacing thick plates and large components where efficiency is critical, such as large pressure vessel linings, wear plate overlays, and heavy machinery components.
Heat Source Model Development
The authors developed a heat source model for SESAS based on the Goldak double-ellipsoidal model, modified to account for the strip electrode geometry. The key modifications include:
- Heat source shape: The conventional double-ellipsoid model is adapted to represent the elongated arc shape produced by a strip electrode. The heat source is modeled as a series of discrete heat source elements distributed along the strip width.
- Heat flux distribution: The heat flux is assumed to be non-uniform across the strip width, with higher heat flux near the center and lower flux at the edges, reflecting the actual arc distribution.
- Moving heat source implementation: The model was implemented using FORTRAN subroutines within the MSC.MARC finite element software platform. The moving heat source is applied through a user-defined subroutine that calculates the heat flux at each node based on the current position of the electrode.
Simulation Results and Validation
The simulation was validated against experimental measurements of:
| Validation Parameter | Method | Agreement |
|---|---|---|
| Weld bead geometry | Optical measurement | Good agreement |
| Thermal cycle curves | Thermocouple measurement | Reasonable agreement |
| Temperature distribution | Infrared thermography | Acceptable agreement |
The results confirmed that the proposed heat source model accurately represents the thermal characteristics of strip electrode submerged arc surfacing. The simulation captured the key features of the temperature field, including:
- High peak temperatures in the weld zone
- Wide heat-affected zone due to high heat input
- Asymmetric temperature distribution ahead of and behind the moving electrode
- Thermal cycle characteristics with relatively low cooling rates due to high heat input and thick plate geometry
Process Parameters and Their Influence
The simulation framework enables systematic analysis of the influence of process parameters on the temperature field:
| Parameter | Effect on Temperature Field | Engineering Implication |
|---|---|---|
| Welding current | Increases peak temperature and HAZ width | Must be controlled to avoid excessive grain growth |
| Travel speed | Decreases peak temperature, increases cooling rate | Higher speed may promote harder microstructure |
| Strip width | Increases heat input per unit length | Wider strips require higher travel speeds to maintain cooling rate |
| Plate thickness | Increases thermal mass, reduces cooling rate | Thick plates may require post-weld heat treatment |
| Preheat temperature | Increases base temperature, reduces thermal gradient | Critical for preventing cracking in thick sections |
Engineering Practice Integration
Application to Thick Plate Surfacing
The simulation framework developed in this paper has direct application to several industrial scenarios:
- Large pressure vessel lining: Surfacing of corrosion-resistant alloys on thick carbon steel pressure vessels for chemical processing applications. The high deposition rate of SESAS makes it economically attractive for large surface areas.
- Wear plate overlay: Surfacing of hardfacing materials on thick steel plates for mining, cement, and power generation applications. The simulation can predict the thermal cycle to optimize the microstructure and hardness of the overlay.
- Repair welding: Repair of thick plate components with damaged surfacing. The simulation can guide the selection of welding parameters to minimize distortion and residual stress.
Residual Stress Prediction
While the paper focuses on temperature field simulation, the thermal analysis provides the foundation for residual stress prediction. The sequence of analysis would be:
- Thermal analysis: Calculate temperature field as a function of time and position (as demonstrated in this paper).
- Thermo-mechanical analysis: Use the temperature field as input to calculate residual stresses, accounting for thermal expansion, plastic deformation, and phase transformations.
- Post-processing: Evaluate residual stress distribution, identify high-stress regions, and recommend stress relief procedures.
Comparison with Other Modeling Approaches
| Approach | Advantages | Limitations |
|---|---|---|
| Goldak double-ellipsoid model | Well-established, widely validated | May not accurately represent strip electrode geometry |
| Cylindrical heat source model | Simple, computationally efficient | Poor representation of asymmetric heat distribution |
| Point heat source model | Very simple, fast | Inaccurate for wide welds |
| Modified Goldak model (this paper) | Accounts for strip geometry, validated | More complex implementation |
Study Insights
The development of a validated finite element model for strip electrode submerged arc surfacing is a significant contribution to welding simulation technology. The modification of the Goldak heat source model to account for the strip electrode geometry demonstrates the flexibility of this approach and its applicability to non-conventional welding processes.
The implementation of the moving heat source through FORTRAN subroutines within MSC.MARC is a practical approach that can be adapted to other finite element software platforms. This modular approach allows for easy modification of the heat source model without requiring changes to the core finite element solver.
The validation of the simulation against experimental thermal cycle curves is particularly valuable, as it provides confidence in the model's predictive capability. The reasonable agreement between simulated and measured thermal cycles indicates that the model can be used to predict the thermal characteristics of SESAS for different process parameters and plate geometries.
For engineers involved in thick plate surfacing operations, this paper provides a valuable tool for process optimization. By simulating the temperature field before actual welding, engineers can select process parameters that minimize distortion, control residual stress, and achieve the desired microstructure in the overlay weld.
Summary
This paper presents a validated finite element model for simulating the temperature field during strip electrode submerged arc surfacing on thick plates. The modified Goldak heat source model, implemented through FORTRAN subroutines in MSC.MARC, accurately captures the thermal characteristics of this high-deposition-rate process. The simulation framework provides a valuable tool for process optimization, enabling engineers to predict temperature distributions, thermal cycles, and residual stresses before actual welding. The work contributes to the advancement of welding simulation technology and provides practical guidance for thick plate surfacing applications in heavy industry.
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