Lisowicz Joanna, Krupa Krzysztof, Leksycki Kamil, Rusinek Rafał, Wojciechowski Szymon
Department of Manufacturing Techniques and Automation, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 12 Al. Powstancow Warszawy Street, 35-959 Rzeszow, Poland.
Department of Material Science, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 12 Al. Powstancow Warszawy Street, 35-959 Rzeszow, Poland.
Materials (Basel). 2024 Dec 27;18(1):79. doi: 10.3390/ma18010079.
Titanium alloys, particularly Ti-6Al-4V, are widely used in many industries due to their high strength, low density, and corrosion resistance. However, machining these materials is challenging due to high strength at elevated temperatures, low thermal conductivity, and high chemical reactivity. This study investigates Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA) to analyze tool wear during the finish turning of Ti-6Al-4V. The tests were conducted under Minimum Quantity Lubrication (MQL). Three inserts (two coated, one uncoated) were tested, and tool life was evaluated based on material removal volume. The issue of tool exploitation and process reliability is crucial, as it directly impacts machining performance. Results show that the uncoated insert outperformed the coated ones. RQA parameters indicated a stable-to-unstable transition in coated inserts but not in the uncoated insert. This suggests that recurrence analysis can monitor cutting dynamics in coated insert machining, but further research is needed for uncoated tools. This paper's novelty lies in applying RP and RQA to diagnose tool wear in titanium alloy machining under MQL conditions, a method not previously explored in this context.
钛合金,特别是Ti-6Al-4V,因其高强度、低密度和耐腐蚀性而在许多行业中得到广泛应用。然而,由于高温下的高强度、低导热性和高化学反应性,加工这些材料具有挑战性。本研究调查了递归图(RP)和递归定量分析(RQA),以分析Ti-6Al-4V精车削过程中的刀具磨损。试验在微量润滑(MQL)条件下进行。测试了三种刀片(两种涂层,一种未涂层),并根据材料去除量评估刀具寿命。刀具磨损和加工过程可靠性问题至关重要,因为它直接影响加工性能。结果表明,未涂层刀片的性能优于涂层刀片。RQA参数表明涂层刀片存在从稳定到不稳定的转变,而未涂层刀片则没有。这表明递归分析可以监测涂层刀片加工中的切削动态,但对于未涂层刀具还需要进一步研究。本文的新颖之处在于将RP和RQA应用于在MQL条件下诊断钛合金加工中的刀具磨损,这是在此背景下以前未探索过的方法。