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Determination of Optimal Line-Heating Conditions for Flatness Control of Wind Tower Blocks Using Strain as Direct
Hee-Chan Yoon1, Hun-Bong Lim2, Hong-Jun Noh1
1Department of Mechanical Design Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea.
This study presents an optimized line heating method to control wind tower flange flatness after welding. The technique uses inherent strain analysis and deformation superposition for precise flatness control, reducing reliance on operator judgment.
Area of Science:
- Mechanical Engineering
- Materials Science
- Structural Engineering
Background:
- Welding wind tower blocks affects flange flatness due to inherent strain from thermal cycles.
- Current line heating methods for flatness control rely heavily on operator experience, leading to variability.
- Meeting stringent flange flatness criteria is crucial for wind tower assembly and performance.
Purpose of the Study:
- To develop an optimized line heating method for controlling welded flange flatness in wind tower blocks.
- To establish a data-driven approach for determining optimal line heating parameters, reducing empirical judgment.
- To ensure wind tower components meet critical flatness design criteria through precise thermal management.
Main Methods:
- Utilizing the inherent strain method for analyzing residual stresses and deformations.
- Employing the deformation superposition method to combine welding and line heating effects.
- Implementing an optimization procedure to determine optimal line heating conditions (e.g., heat input, location).
Main Results:
- Calculated flange flatness changes due to welding and single-point heating.
- Developed a superimposition model incorporating a scale factor for line heating magnitude.
- Derived optimal line heating conditions that satisfy the design criteria for flange flatness.
Conclusions:
- The proposed method effectively determines optimal line heating conditions for controlling welded flange flatness.
- This approach offers a more objective and reliable alternative to empirical methods in wind tower manufacturing.
- Successful application to an analytical model validates the method's effectiveness in achieving design criteria.
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