电线压接,汽车行业常用的工艺,是一种无焊方法,用于在导线束和端子之间建立电气和机械连接。预测压接端子的最终形状的复杂性和最小化生产成本的必要性表明使用先进的数值方法。这种方法需要一个可靠的现象学弹塑性本构模型,其中描述了成形过程中的材料行为。铜合金板,以其延展性和强度而闻名,通常选择作为端子材料。一般来说,金属板在机械性能方面表现出显著的各向异性,对于铜合金板,这种现象尚未得到充分的实验研究。此外,电线压接过程以更高的速度进行;因此,应变率对端子材料行为的影响必须是已知的。在本文中,实验研究了应变速率对铜合金板CuFe2P各向异性弹塑性行为的影响。在取向为0°的片状试样上进行了应变率为0.0002s-1、0.2s-1、1s-1和5.65s-1的拉伸试验,45°,与轧制方向成90°。应变率对应力-应变曲线取向依赖性的影响,弹性模量,抗拉强度,伸长率,并确定了兰克福德系数。此外,对于每个考虑的样品取向,确定了断裂角和非弹性热分数。所考虑的实验数据是通过使用红外热成像和数字图像相关技术捕获加载过程获得的。
Wire crimping, a process commonly used in the automotive industry, is a solderless method for establishing electrical and mechanical connections between wire strands and terminals. The complexity of predicting the final shape of a crimped terminal and the imperative to minimize production costs indicate the use of advanced numerical methods. Such an approach requires a reliable phenomenological elasto-plastic constitutive model in which material behavior during the forming process is described. Copper alloy sheets, known for their ductility and strength, are commonly selected as terminal materials. Generally, sheet metals exhibit significant anisotropy in mechanical properties, and this phenomenon has not been sufficiently investigated experimentally for copper alloy sheets. Furthermore, the wire crimping process is conducted at higher velocities; therefore, the influence of the strain rate on the terminal material behavior has to be known. In this paper, the influence of the strain rate on the anisotropic elasto-plastic behavior of the copper alloy sheet CuFe2P is experimentally investigated. Tensile tests with strain rates of 0.0002 s-1, 0.2 s-1, 1 s-1, and 5.65 s-1 were conducted on sheet specimens with orientations of 0°, 45°, and 90° to the rolling direction. The influence of the strain rate on the orientation dependences of the stress-strain curve, elastic modulus, tensile strength, elongation, and Lankford coefficient was determined. Furthermore, the breaking angle at fracture and the inelastic heat fraction were determined for each considered specimen orientation. The considered experimental data were obtained by capturing the loading process using infrared thermography and digital image correlation techniques.