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Modelling and multiresponse optimization for minimizing burr height, thrust force and surface roughness in drilling of ferritic stainless steel
Sādhanā ( IF 1.6 ) Pub Date : 2020-11-03 , DOI: 10.1007/s12046-020-01490-3
Mustafa Günay , Tolga Meral

Although there have been many studies on the drillability of various grades of stainless steel, there is no scientific research on the drilling of ferritic stainless steel. Also, the burr at hole exit means the need for secondary machining operation and indirectly increases the production cost. Thus, this study focused on the modeling and minimizing burr height (Bh), thrust force (Fz) and surface roughness (Ra) during drilling of AISI 430 ferritic stainless steel with uncoated carbide drill under dry condition. Bh, Fz and Ra based on different cutting speed and feed rates were measured during drilling tests, and then cutting parameters were optimized by applying Taguchi based grey relational analysis. Moreover, the mathematical models were created by employing the response surface method to predict the machining outputs. The thrust force and the surface roughness decreased while the burr height increased with the increase in cutting speed. Uniform burr formation with drill cap was observed for all machining parameters under dry environment. The effect levels of feed rate and cutting speed on burr height were determined as 54.82% and 44.67%, respectively. These result shows that cutting speed is as important as the feed rate during the drilling of the ferritic stainless steel. In the current study, the best suitable levels of feed rate and cutting speed were detected as 0.12 mm/rev and 45 m/min for minimizing Bh, Fz and Ra. The coefficients of determination obtained by RSM indicated a relationship in high level between the cutting parameters and machining outputs.



中文翻译:

建模和多响应优化,以最小化铁素体不锈钢钻孔中的毛刺高度,推力和表面粗糙度

尽管已经对各种等级的不锈钢的可钻性进行了许多研究,但是对铁素体不锈钢的钻探还没有科学研究。而且,孔出口处的毛刺意味着需要二次加工操作,并且间接地增加了生产成本。因此,本研究着重于在干燥条件下用无涂层硬质合金钻头在AISI 430铁素体不锈钢钻孔过程中建模并最小化毛刺高度(Bh),推力(Fz)和表面粗糙度(Ra)。在钻探测试中,根据不同的切削速度和进给速度测量了Bh,Fz和Ra,然后通过基于Taguchi的灰色关联分析对切削参数进行了优化。此外,通过采用响应面方法来预测加工输出来创建数学模型。随着切削速度的增加,推力和表面粗糙度降低,毛刺高度增加。在干燥环境下,所有加工参数均观察到带有钻帽的均匀毛刺形成。确定进给速度和切削速度对毛刺高度的影响水平分别为54.82%和44.67%。这些结果表明,在铁素体不锈钢钻孔过程中,切削速度与进给速度同等重要。在当前的研究中,为使Bh,Fz和Ra最小化,最佳的进给速度和切削速度为0.12 mm / rev和45 m / min。通过RSM获得的确定系数表明切削参数和加工输出之间存在高水平的关系。在干燥环境下,所有加工参数均观察到带有钻帽的均匀毛刺形成。确定进给速度和切削速度对毛刺高度的影响水平分别为54.82%和44.67%。这些结果表明,在铁素体不锈钢钻孔过程中,切削速度与进给速度同等重要。在当前的研究中,为使Bh,Fz和Ra最小化,最佳的进给速度和切削速度为0.12 mm / rev和45 m / min。通过RSM获得的确定系数表明切削参数和加工输出之间存在高水平的关系。在干燥环境下,所有加工参数均观察到带有钻帽的均匀毛刺形成。确定进给速度和切削速度对毛刺高度的影响水平分别为54.82%和44.67%。这些结果表明,在铁素体不锈钢钻孔过程中,切削速度与进给速度同等重要。在当前的研究中,为使Bh,Fz和Ra最小化,最佳的进给速度和切削速度为0.12 mm / rev和45 m / min。通过RSM获得的确定系数表明切削参数和加工输出之间存在高水平的关系。这些结果表明,在铁素体不锈钢钻孔过程中,切削速度与进给速度同等重要。在当前的研究中,为使Bh,Fz和Ra最小化,最佳的进给速度和切削速度为0.12 mm / rev和45 m / min。通过RSM获得的确定系数表明切削参数和加工输出之间存在高水平的关系。这些结果表明,在铁素体不锈钢钻孔过程中,切削速度与进给速度同等重要。在当前的研究中,为使Bh,Fz和Ra最小化,最佳的进给速度和切削速度为0.12 mm / rev和45 m / min。通过RSM获得的确定系数表明切削参数和加工输出之间存在高水平的关系。

更新日期:2020-11-03
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