Investigation of the Relationship Between Vibration Data and Tool Wear During End-Milling of Gamma-Prime Strengthened Alloys

2015 ◽  
Author(s):  
Vasileios Bardis ◽  
Farbod Akhavan Niaki ◽  
Durul Ulutan ◽  
Laine Mears

Condition Based Maintenance (CBM) systems are crucial for today’s high accuracy machining of exotic materials. For reliable results, CBM systems need early and reliable warning based on prediction models that use multiple types of sensors. In this study, tool flank wear during end milling difficult-to-machine alloys was measured using an optical microscope. Then, vibration data collected with an accelerometer was investigated for its relationship to tool flank wear. The developed relationship between accelerometer output and tool flank wear was validated with further experiments. It was observed from frequency domain responses of these outputs that specific harmonics of the tool pass frequency were dominant, and tool flank wear can be related to the amplitude of these harmonics during machining. This way, it was shown that through accurate online prediction of tool wear, premature interruption of the process as well as machining with a worn tool can both be avoided, improving end-product quality as well as reducing machining costs.

Author(s):  
Cynthia Stanley ◽  
Durul Ulutan ◽  
Laine Mears

Research regarding tool wear in the machining of difficult materials is important because it is a significant indicator of process failure in terms of degradation of part quality, and the resulting high cost and increased process time. Prior researchers have investigated the effects of cutting parameters on tool wear and as a result, tool life has seen significant improvement. However, these studies are not concerned with tool flank wear during machining; they instead focus on tool flank wear after a certain amount of cutting distance. This study proposes a new method of predicting tool flank wear during machining that has the capability of suggesting tool failure without directly measuring the tool. For this purpose, a detailed set of experiments on end milling of titanium alloy Ti-6Al-4V was conducted and analyzed. Then, the resultant force output, which can be monitored during machining, was used to establish a predictive algorithm for tool flank wear. Using the increase in the resultant force as well as the total energy spent on the workpiece, it was shown that tool flank wear can be effectively predicted during machining and this can decrease the time spent on tool failure inspection and early tool change, increasing the throughput of the process.


2017 ◽  
Vol 882 ◽  
pp. 36-40
Author(s):  
Salah Gariani ◽  
Islam Shyha ◽  
Connor Jackson ◽  
Fawad Inam

This paper details experimental results when turning Ti-6Al-4V using water-miscible vegetable oil-based cutting fluid. The effects of coolant concentration and working conditions on tool flank wear and tool life were evaluated. L27 fractional factorial Taguchi array was employed. Tool wear (VBB) ranged between 28.8 and 110 µm. The study concluded that a combination of VOs based cutting fluid concentration (10%), low cutting speed (58 m/min), feed rate (0.1mm/rev) and depth of cut (0.75mm) is necessary to minimise VBB. Additionally, it is noted that tool wear was significantly affected by cutting speeds. ANOVA results showed that the cutting fluid concentration is statistically insignificant on tool flank wear. A notable increase in tool life (TL) was recorded when a lower cutting speed was used.


Measurement ◽  
2013 ◽  
Vol 46 (10) ◽  
pp. 4249-4260 ◽  
Author(s):  
S. Dutta ◽  
A. Kanwat ◽  
S.K. Pal ◽  
R. Sen

Author(s):  
W. Li ◽  
Y. B. Guo

Inconel 718 is among the most widely used superalloys in many industries. It is often used in very harsh conditions such as jet engines, combustors and nuclear reactors due to its high strength at elevated temperatures, high oxidation and corrosion resistance. Machining superalloy Inconel 718 has always been a challenging task due to its poor machinability including rapid work hardening, low thermal conductivity, and relatively short cutting tool life. The fast tool wear during cutting Inconel 718 results in longer production time, deteriorated surface integrity, and higher manufacturing cost. In this paper, an on-line optical tool monitoring system integrated with a CNC machine tool has been developed to examine tool wear evolutions in end milling Inconel 718 with PVD (Ti, Al) N/TiN-coated carbide insert. Three basic types of tool wear: flank wear, nose wear, and crater wear were examined and analyzed. A two-parameter method has been proposed to evaluate both flank wear and nose wear vs. cutting time.


Author(s):  
W. Li ◽  
Y. B. Guo

Dry machining is a cluster of sustainable manufacturing processes to eliminate the negative environmental effect of machining coolants. It is critical to ensure that product quality cannot be sacrificed for achieving sustainability. The progress of tool flank wear during hard milling adversely affects surface integrity and, therefore, fatigue life of machined components. This paper focuses on the influence of tool flank wear on residual stress and fatigue properties in dry end milling AISI H13 tool steel (50 ± 1 HRC) using PVD coated tools. The effects of flank wear (VB = 0, 0.1, and 0.2 mm) on residual stresses at three different feeds were studied. Four-point bending fatigue tests were performed on the samples machined at five levels of tool flank wears (VB = 0, 0.05, 0.10, 0.15, 0.20 mm) and surface fatigue initiations of the fatigued samples were identified by the fractographic method.


2012 ◽  
Vol 500 ◽  
pp. 111-116
Author(s):  
Bin Zou ◽  
Chuan Zhen Huang ◽  
Zi Ye Liu ◽  
Xin Qiang Zhuang ◽  
Jun Wang

Tool wear was investigated at the different cutting conditions in rough ball-end milling of Cr12MoV die steel using an indexable cutter with asymmetric inserts. The wear patterns on rake face and flank face of major insert and minor insert, and chip patterns were observed by VHX-600E large depth-of-view 3-D scanner. The relationships of tool wear and cutting conditions, and their mechanisms were discussed. The tool life was determined by the flank wear at No. 1 cutting condition. At Nos. 2-8 cutting conditions, the life of major inset and minor insert were determined by the wear of their rake faces and flank faces respectively. At No. 8 cutting condition, the tool wear was dominated by boundary wear, adhesion and diffusion wear, and the slight chipping. Both type and color of chips identified the cutting stability at the different cutting conditions.


2011 ◽  
Vol 314-316 ◽  
pp. 1075-1078 ◽  
Author(s):  
Mitsuaki Murata ◽  
Syuhei Kurokawa ◽  
Osamu Ohnishi ◽  
Toshiro Doi ◽  
Michio Uneda

Tool-work thermo-electromotive force (E.M.F.) is very important signal because it is regarded as the evidence of direct cutting phenomenon at the cutting position.Our aim is to carry out in-process monitoring of tool wear under intermittent cutting conditions. We examined the relation between E.M.F. and tool flank wear to explore the possibility of in-process tool wear detection using E.M.F. Waveform variations in E.M.F. signals corresponding to tool flank wear were observed at the starting position of cut. To determine the cause of these waveform variations, the electric current was also measured and the electric resistance between the tool and work piece were calculated using Ohm's law. It is found that the change in the tool-work electric resistance corresponds to the progression of the tool flank wear.By monitoring this tool-work electric resistance, it is possible to conduct in-process detection of tool flank wear.


2016 ◽  
Vol 78 (6-10) ◽  
Author(s):  
N.H.M. Tahir ◽  
R. Muhammad ◽  
J. A. Ghani ◽  
M. Z. Nuawi ◽  
C. H. C. Haron

Tool condition monitoring (TCM) system in the industry are mainly used to detect tool wear, breakage and chatter on the tool. Tool wear of AISI P20 under various cutting conditions have been investigated in end milling using cutting force signals due flank wear progression. This study is focused on the piezoelectric sensor system which is integrated on rotating cutting tool for tool wear monitoring system in milling process. The signal captured by piezoelectric sensors are analyzed in time and frequency domain. The signal amplitudes of main cutting force, Fc in time domain are increased, while the peak of the amplitude in frequency domain is decreased as the flank wear and cutting speed increases. By using 3D I-kazTM statistical analysis method, the relationship and correlation between I-kaz coefficients, Z∞  values with resultant flank wear width data, VB are proved. The results show that 3D I-kazTM statistical analysis method can be effectively used to monitor tool wear progression using a wireless telemetry system during milling operations.


Author(s):  
M Jahanbakhsh ◽  
A Akhavan Farid ◽  
Mohammad Lotfi

Rapid tool wear is one of the major machinability aspects of nickel-based super alloys. In this article, the effect of cutting parameters on material removal rate and tool wear of a whisker ceramic insert in turning of Inconel 625 was examined. Optical microscope and scanning electron microscope were applied to measure and study tool wear mechanism. Response surface method was used to develop a mathematical model which confirmed by experimental tests. The statistical analysis done by analysis of variance showed that depth of cut is the most effective factor on the tool wear. Experiments showed that increment of feed rate had an insignificant effect on the progress of flank wear, and it is an important controlling factor when material removal rate is considered as a desired output. Finally, optimized cutting condition is presented in this work.


2021 ◽  
Author(s):  
Liang Tan ◽  
Changfeng Yao ◽  
Dinghua Zhang ◽  
Minchao Cui ◽  
Xuehong Shen

Abstract This paper investigates the effects of tool wear on the machined surface integrity characteristics, including the surface roughness, surface topography, residual stress, microhardness and microstructure, during ball-end milling of Inconel 718. Tool wear, tool lifetime, and cutting force are measured. In addition, a two-dimensional finite element-based model is developed to investigate the cutting temperature distribution in the chip–tool–workpiece contact area. Results show that the ball nose end mill achieves tool lifetime of approximately 350 min. The cutting forces increase sharply with a greater tool flank wear width, while the highest cutting temperature has a decreasing tend at a flank wear width of 0.3 mm. Higher tool flank wear width produces larger surface roughness and deteriorative surface topography. A high-amplitude (approximately −700 MPa) and deep layer (approximately 120 mm) of compressive residual stress are induced by a worn tool with 0.3 mm flank wear width. The surface microhardness induced by new tool is larger than that induced by worn tool. Plastic deformation and strain streamlines are observed within 10 mm depth beneath the surface. The results in this paper provide an optimal tool wear criterion which integrates the surface integrity requirements and the tool lifetime for ball-end finish milling of Inconel 718.


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