• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Materials Engineering and Performance >Investigation on Mechanical Behavior of Friction Stir Welded Nylon-6 Using Temperature Signatures
【24h】

Investigation on Mechanical Behavior of Friction Stir Welded Nylon-6 Using Temperature Signatures

机译：温度签约摩擦搅拌焊接尼龙-6力学行为的研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The present investigation focused on parametric optimization for improving joint efficiency of friction stir welded nylon-6 sheets using particle swarm optimization algorithm using a response surface method-based regression model. Initially, parametric effects on weld quality characteristics such as weld bead profile, bead shape and its microstructure along with micro-hardness variation and stress-elongation behavior of the butt weld have been studied considering cylindrical, square and triangular pin contours. The thermal cycles along advancing and retreating side of tool rotation have also been acquired during welding which was further used in the response surface models for the improvement in weld quality prediction capability. The joint efficiency was found to be maximum (49.68%) at intermediate value of each parameter using square pin. The material scooping action and undercut defects along with non-uniform grain morphology with micro-cavities were primary reasons for weld failure at weld interface. The response surface-based regression model of joint strength of the weld was significant, whereas weld hardness and percent elongation were found to be insignificant. However, weld peak temperature with associated cooling rate-based regression models was found to be highly adequate as per substantial improvement for the prediction of each weld quality-based features. Finally, response surface-based regression model of joint strength was further used for parametric optimization using response surface method as well as evolutionary particle swarm optimization tools. The particle swarm optimization was found to be more precise with better optimization capability than response surface methodology.
机译：本研究专注于使用基于响应表面法的回归模型来提高粒子群优化算法提高摩擦搅拌焊接尼龙-6片的关节效率的参数优化。最初，考虑圆柱形，方形和三角形销轮廓，研究了焊接珠子轮廓，珠子形状和其微观结构等焊接质量特性的参数效应以及对接焊缝的微硬度变化和应力 - 伸长行为。在焊接期间也已经在焊接期间获取沿刀具旋转的推进和退回侧的热循环，这进一步用于焊接表面模型的响应表面模型，以改善焊接质量预测能力。发现联合效率在每个参数的中间值中的最大（49.68％）使用Square Pin。材料舀取作用和底切缺陷以及与微腔的非均匀晶粒形态是焊接界面焊接失效的主要原因。焊缝的关节强度的响应面基回归模型显着，而发现焊缝硬度和伸长率百分比是微不足道的。然而，发现焊接峰值温度与基于相关的冷却速率的回归模型的焊接峰值温度根据对每个焊接质量的特征预测的大大改进是高度的。最后，使用响应表面方法以及进化粒子群优化工具进一步用于参数优化的关节强度的基于响应表面的回归模型。发现粒子群优化具有比响应面方法更好的优化能力更精确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号