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首页> 外文期刊>Journal of Soft Computing in Civil Engineering >Process Parameter Optimization for minimizing Springback in Cold Drawing Process of Seamless Tubes using Advanced Optimization Algorithms
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Process Parameter Optimization for minimizing Springback in Cold Drawing Process of Seamless Tubes using Advanced Optimization Algorithms

机译：使用高级优化算法优化无缝钢管冷拔过程中回弹的工艺参数优化

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摘要

In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array and then optimization is done in data analysis software Minitab 17.The results of ANOVA shows that 15 degree die semi angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO),Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degree die semi angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
机译：在拉管过程中，根据需要将管子通过模具和塞子拉出以减小其直径和厚度。冷拔管的尺寸精度对最终产品的进一步质量和控制这些最终产品的制造过程中的废品至关重要。回弹现象是去除成形载荷后的弹性应变恢复，导致拉拔管的几何形状不准确。此外，这导致难以实现紧密的尺寸公差。在目前的工作中，针对各种冷拔参数研究了EN 8 D管材的回弹。这项工作中的工艺参数包括半模角，焊盘宽度和拉拔速度。实验是使用Taguchi的L36正交阵列完成的，然后在数据分析软件Minitab 17中进行了优化。ANOVA的结果表明，模具半角为15度，焊盘宽度为5 mm，拉伸速度为6 m / min时回弹最少。此外，应用了名为粒子群优化（PSO），模拟退火（SA）和遗传算法（GA）的优化算法，该算法显示出15度的模具半角，10 mm的刃口宽度和8 m / min的拉拔速度可最大程度地减少回弹，几乎提高了10.5％。最后，通过ANSYS有限元分析技术对实验结果进行了验证。

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