Zhuojin Pipe Fitting Co., LtdResearch on Overlay Welding Temperature Field Simulation System Using ANSYS and VB Integration
Literature Overview
This paper, authored by Cai Jinjin, Ma Yuejin, Jiang Hui, Zhao Jianguo, Kang Yu, and Li Shuailun from Hebei Agricultural University, was published in the Journal of Hebei Agricultural University in 2008 (Volume 31, Issue 3, pages 105-107). Funded by the Hebei Provincial Natural Science Foundation (E2006000528), the work addresses a practical gap in overlay welding process development: the difficulty of using ANSYS for thermal analysis without requiring users to have deep expertise in finite element modelling and post-processing. The authors developed a dedicated simulation system for overlay welding temperature field analysis by integrating Visual Basic (VB) with ANSYS, allowing users to obtain thermal analysis results simply by inputting essential welding parameters.
Core Technical Approach
The fundamental challenge in overlay welding thermal analysis lies in the complex transient heat transfer behaviour during multi-pass deposition, where the moving heat source, phase transformations, and material property variations demand sophisticated numerical modelling. Traditional ANSYS workflows require users to manually construct geometries, define boundary conditions, apply moving heat sources, and interpret results — a process that creates significant barriers to adoption among process engineers who lack finite element expertise.
The system developed in this paper adopts a layered architecture where VB serves as the user interface layer and ANSYS operates as the computational backend. The VB front-end handles parameter input, geometry description, and result visualisation, while ANSYS performs the actual finite element thermal calculations. This separation of concerns enables process engineers to focus on welding parameters rather than numerical modelling details.
Key System Components
| Component | Function | Technical Detail |
|---|---|---|
| VB Interface | Parameter input and result display | Graphical user interface for welding parameters |
| ANSYS Backend | Finite element thermal calculation | Transient heat conduction with moving heat source |
| Data Interface | Communication between VB and ANSYS | Command file generation and result parsing |
| Heat Source Model | Moving thermal input | Gaussian or double-elliptical distribution |
The welding parameters that users can input include current, voltage, welding speed, layer number, pass number, and material thermal properties. The system generates ANSYS input files automatically and parses the resulting temperature field data for graphical presentation.
Technical Significance and Engineering Practice
The practical value of this work extends beyond academic interest. In industrial overlay welding applications — such as hardfacing of pump impellers, valve seats, and wear-resistant pipe linings — the temperature field directly governs microstructure evolution, residual stress development, and potential cracking. Understanding the thermal history at any point in the deposit is essential for predicting hardness profiles, phase transformations, and dilution effects.
The system's ability to rapidly evaluate different welding parameter combinations represents an efficient alternative to extensive coupon testing. Engineers can screen multiple parameter sets virtually before committing to physical trials, reducing development time and cost. The approach is particularly relevant for multi-pass overlay welding where thermal cycling from subsequent passes modifies the microstructure of previously deposited layers.
Limitations and Observations
- The 2008 timeframe means the system reflects ANSYS versions available at that time, with potential limitations in convergence behaviour and computational efficiency compared to modern solvers.
- The VB-based interface, while functional, lacks the robustness and maintainability of modern software development practices.
- The paper does not detail the specific heat source model formulation, material property temperature dependence, or mesh sensitivity analysis — aspects critical for quantitative accuracy.
- Validation against experimental thermocouple data or thermochromic paint measurements is not discussed, which limits confidence in absolute temperature predictions.
Study Insights and Reflections
From a metallurgical perspective, the temperature field simulation capability is most valuable when coupled with phase transformation models and residual stress analysis. The work represents a solid engineering tool development effort but would benefit from integration with Scheil-Gulliver solidification modelling and Johnson-Cook or Arrhenius-based transformation kinetics. For contemporary practice, similar workflow automation can be achieved through ANSYS Workbench parametric studies or Python-based scripting interfaces, which offer greater flexibility and reproducibility. The fundamental concept — lowering the barrier to thermal simulation for process engineers — remains highly relevant today, and the philosophy of parameter-driven simulation workflows has been adopted across the welding simulation community. The paper serves as a historical reference point demonstrating early efforts to bridge the gap between numerical simulation capability and industrial usability in welding thermal analysis.