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Parameter design optimisation of computerised numerical control turning tool steels for high dimensional precision and accuracy

机译:数控高精度车削刀具钢的参数设计优化

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摘要

Dimensional precision and accuracy are often the most important quality characteristics demanded in the turning process In this paper, a set of optimal turning parameters for producing high dimensional precision and accuracy in the computerised numerical control turning process was developed. Taguchi dynamic approach coupled with a proposed ideal function model, was applied to optimise eight control factors for common tool steels SKD-11 and SKD-61. The control factors were coolant, cutting speed feed depth of cut, coating type, chipbreaker geometry, nose radius and shape of the insert, which were designed in a L18 orthogonal array and carried out in the experiments. The results showed that the factors associated with the cutting tool and feed had the most significant effects on the dimensional variation of the test piece. Once the eight factors were optimised, the dimensional variation of the product was reduced by 45.61percent of the initial conditions and the dimensional accuracy of the product could be adjusted to a more ideal final value. Further, the average surface roughness of the optimised product was found to be better than most of the L18 experimental results and from the initial machining conditions. This indicated that the combined optimised process factors not only produced optimised dimensional precision and accuracy, it also resulted in improved surface roughness.
机译:尺寸精度和精度通常是车削过程中要求的最重要的质量特征。本文开发了一套最佳的车削参数,以在计算机数控车削过程中产生高尺寸精度和精度。田口动力学方法与提出的理想功能模型相结合,用于优化常见工具钢SKD-11和SKD-61的八个控制因子。控制因素是冷却液,切削速度,切削进给深度,涂层类型,断屑槽几何形状,刀尖半径和刀片形状,它们是在L18正交阵列中设计并在实验中进行的。结果表明,与切削刀具和进给有关的因素对试件的尺寸变化影响最大。一旦对这八个因素进行了优化,产品的尺寸变化将减少初始条件的45.61%,并且可以将产品的尺寸精度调整为更理想的最终值。此外,从初始加工条件出发,发现优化产品的平均表面粗糙度要优于大多数L18实验结果。这表明综合的优化工艺因素不仅产生了优化的尺寸精度和准确性,而且还改善了表面粗糙度。

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