Chenrayan Venkatesh, Parthiban Mohanram, Venkatachalam Chandraprabu, Gelaw Mengistu
School of Mechanical,Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia.
Data Brief. 2020 Mar 7;29:105389. doi: 10.1016/j.dib.2020.105389. eCollection 2020 Apr.
Modern aluminium composites reinforced with variety of hard particles become more usage in Industrial environment. But manufacturing of composites with homogenously distributed reinforcement becomes the challenge. To overcome this challenge, most of the Aluminium composite are undergone a secondary extrusion process. The data presented here are related to hot extrusion of round geometry to hexagonal section Al/BC composite. Availability of data is extended to expose the optimal parameters of the process over the extrusion load and tensile strength of the extrudate. Ram speed, geometry of die profile, billet temperature and friction within the die and billet interface have been considered as chief process parameters which influence the extrusion load and strength of the product. Totally, nine experiments were conducted as per Taguchi's L9 orthogonal array to reach optimal parameters. Most influencing parameters with ranking significance have been arrived through ANOVA, MRPI and grey grade. Optimal parameters were compared with confirmation experiments and predicted one to justify the investigation.
现代的由各种硬质颗粒增强的铝基复合材料在工业环境中的应用越来越广泛。但是,制造具有均匀分布增强相的复合材料成为了一项挑战。为了克服这一挑战,大多数铝基复合材料都要经过二次挤压工艺。这里给出的数据与将圆形几何形状的铝/碳化硼(Al/BC)复合材料热挤压成六边形截面有关。数据的提供旨在揭示该工艺在挤压载荷和挤出物拉伸强度方面的最佳参数。冲头速度、模具轮廓几何形状、坯料温度以及模具与坯料界面间的摩擦力被视为影响挤压载荷和产品强度的主要工艺参数。总共按照田口的L9正交阵列进行了九次实验以获得最佳参数。通过方差分析(ANOVA)、多响应性能指数(MRPI)和灰色关联度得出了具有显著排名的最具影响力参数。将最佳参数与验证实验以及预测结果进行了比较,以证明该研究的合理性。