焊接
ABS树脂
搅拌摩擦焊
材料科学
摩擦焊接
极限抗拉强度
田口方法
抗弯强度
复合材料
正交数组
多项式回归
析因实验
灵敏度(控制系统)
梁(结构)
实验设计
线性回归
分式析因设计
相(物质)
弯曲
塑料焊接
模数
杨氏模量
艾氏冲击强度试验
结构工程
3d打印
熔融沉积模型
韧性
延展性(地球科学)
响应面法
作者
Nikolaos Mountakis,Nektarios K. Nasikas,Amalia Moutsopoulou,Maria Spyridaki,Dimitris Sagris,Constantine David,Nikolaos Michailidis,Markos Petousis,Emmanuel Stratakis,Nectarios Vidakis
标识
DOI:10.1016/j.rineng.2025.107409
摘要
The production of polymeric welds remains a challenging task. This study aimed to investigate the feasibility and performance of joining two popular thermoplastics, acrylonitrile styrene acrylate (ASA) and acrylonitrile butadiene styrene (ABS), with differing compositions and thermal behaviors, produced via additive manufacturing, which adds an additional challenge to the process. In the first optimization stage, a Taguchi L9 analysis for screening was performed, while the second utilized a Full Factorial design. The response metrics were the tensile and flexural strengths and stiffness, forces along the three axes, welding temperature, and friction index. The initial phase involved four control parameters: travel (TS) and rotation (Rs) speeds, and the shoulder and pin diameter of the welding tool (nine experimental runs). In the second phase, the optimal welding tool was employed, and Ts and Rs were tested (six experimental runs). The most notable performance was observed with a 3 mm/min Ts, 1800 rpm Rs, and a welding tool with a 10 mm/4 mm diameter geometry. The regression models assessed included the Linear Regression Model and the Reduced Quadratic Regression Model, achieving R2 values higher than 99 %. A welding efficiency (ratio of the welded and unwelded parts tensile strength) of greater than 100 % was achieved. The welding conditions sensitivity was revealed as more than 200 % improvement in the mechanical properties was reported (33MPa/14 MPa tensile, and 76.1MPa/37.6 MPa flexural strength, respectively). These findings provide valuable insights for scientific and industrial communities by offering intriguing and applicable information for future applications in challenging environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI