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Tool wear modelling using micro tool diameter reduction for micro-end-milling of tool steel H13

机译:工具磨损建模使用微型工具直径减少用于微型铣削工具钢H13

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摘要

Micro components have been demanded increasingly due to the global trend of miniaturization of products and devices. Micro milling is one of the most promising processes for micro-scale production and differs from conventional milling due to the size effect introducing phenomena like the minimum chip thickness, making the prediction of micro milling process hard. Among challenges in micro milling, tool life and tool wear can be highlighted. Understanding tool wear and modelling in micro milling is challenging and essential to maintaining the quality and geometric tolerances of workpieces. This work investigates how to model the diameter reduction of a tool caused by tool wear for micro milling of H13 tool steel. Machining experiments were carried out in order to obtain cutting parameters affecting tool wear by considering the diameter reduction. Dry full slot milling with TiAlN (titanium aluminium nitride)-coated micro tools of diameter d = 400 μm was performed. Three levels of feed per tooth (fz = 2 μm, 4 μm and 5 μm) and two spindle speed levels (n = 30,000 rpm and 46,000 rpm) were used and evaluated over a cutting length of lc = 1182 mm. The results show that lower levels of feed per tooth and spindle speed lead to higher tool wear with a total diameter reduction over 22%. The magnitude of the cutting parameters affecting tool wear was determined by ANOVA (analysis of variance), and the model validation meets the statistical requirements with a coefficient of determination R2 = 83.5% showing the feasibility of the approach to predict tool wear using diameter reduction modelling in micro milling.
机译:由于产品和设备的小型化的全球趋势,已经要求微量组件。微铣削是微级生产的最有希望的过程之一,并且由于尺寸效应引入现象,与最小芯片厚度相同,使得难以预测微型铣削过程。在微铣削中的挑战中,可以突出刀具寿命和工具磨损。理解微铣削工具磨损和建模是挑战,维持工件的质量和几何公差是必不可少的。该工作调查了如何模拟由H13工具钢微铣削刀具磨损引起的工具的直径减小。进行加工实验,以便通过考虑直径减少来获得影响工具磨损的切削参数。用TiAlN(氮化钛)涂层微型工具的干燥全槽铣削进行直径D =400μm。每牙齿(FZ =2μm,4μm和5μm)和两个主轴速度水平(n = 30,000rpm和46,000rpm)的三个含量,并在Lc = 1182mm的切割长度上评估。结果表明,每个牙齿的饲料水平较低,主轴速度导致较高的工具磨损,总直径减少超过22%。影响工具磨损的切割参数的大小由ANOVA(方差分析)确定,模型验证满足统计要求R2 = 83.5%,显示使用直径减少建模预测工具磨损的方法的可行性在微铣削。

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