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Performance Measurement in Incremental Deformation of Brass Cu67Zn33 Through Soft Computing Tool

机译:通过软计算工具的黄铜CU67ZN33增量变形性能测量

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Incremental deformation is an innovative manufacturing process. Commonly, it is known as incremental sheet forming (ISF). The deformation of sheet to a single point tool therefore it is called the single-point incremental forming (SPIF). The surface finish is the common issue in SPIF which is increased with the processing of hard materials. In the present study, the brass Cu67Zn33 is formed through SPIF, and nano-scale surface roughness is measured through atomic force microscopy (AFM). A soft computing tool, i.e., artificial neural network (ANN), a second-order mathematical prediction model, is established due to variability in experimental outputs. The SPIF is successfully done on brass Cu67Zn33, and the error found in predicted R_a is in the range of -6.813-73.04.
机译:增量变形是一种创新的制造过程。 通常,它被称为增量片形成(ISF)。 因此,片材变形为单点工具,因此称为单点增量形成(SPIF)。 表面光洁度是SPIF中的常见问题,随着硬质材料的加工而增加。 在本研究中,通过SPIF形成黄铜CU67ZN33,通过原子力显微镜(AFM)测量纳米级表面粗糙度。 由于实验输出的可变性,建立了软计算工具,即人工神经网络(ANN),二阶数学预测模型。 SPIF在黄铜CU67ZN33上成功完成,预测R_A中的误差在-6.813-73.04的范围内。

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