Abstract
Stability of a peakless tool turning on slender shafts was studied under conditions of low- and high-magnitude vibrations by registering and short-time Fourier transformation (STFT) processing of acoustic emission (AE) and vibration acceleration (VA) signals. Both VA and AE signals have been registered in three positions of the cutting tool on the workpiece and for different shaft diameters. Both amplitude- and frequency-dependent AE and VA characteristics were obtained and analyzed for overall process signal length as well as for single frames. It was shown that power spectrum characteristic could be used for monitoring the fast-occurring changes in the cutting process stability. A criterion of the cutting process stability based on the power spectrum has been offered.
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Grzesik W, Zak K (2012) Surface integrity generated by oblique machining of steel and iron parts. J Mater Process Technol 212:2586–2596. https://doi.org/10.1016/j.jmatprotec.2012.07.019
Grzesik W (1986) Stereometric and kinematic problems occurring during cutting with single-edged tools. Int J Mach Tools Manuf 26:443–457. https://doi.org/10.1016/0020-7357(86)90034-X
Monka P, Monkova K, Balara M, Hloch S, Rehor J, Andrej A, Somsak M (2016) Design and experimental study of turning tools with linear cutting edges and comparison to commercial tools. Int J Adv Manuf Technol 85:2325–2343. https://doi.org/10.1007/s00170-015-8065-3
Li X (2002) A brief review: Acoustic emission method for tool wear monitoring during turning. Int J Mach Tools Manuf 42:157–165. https://doi.org/10.1016/S0890-6955(01)00108-0.
Inasaki I (1998) Application of acoustic emission sensor for monitoring machining processes. Ultrasonics 36:273–281. https://doi.org/10.1016/S0041-624X(97)00052-8
Chiou RY, Liang SY (2000) Analysis of acoustic emission in chatter vibration with tool wear effect in turning. Int J Mach Tools Manuf 40:927–941. https://doi.org/10.1016/S0890-6955(99)00093-0
Moriwaki T, Okushima K (1980) Detection for cutting tool fracture by acoustic emission measurement. CIRP Ann-Manuf Technol 29:35–40. https://doi.org/10.1016/S0007-8506(07)61291-8
Dornfeld D (1992) Application of acoustic emission techniques in manufacturing. NDT E Int 25:259–269. https://doi.org/10.1016/0963-8695(92)90636-U
Kannatey-Asibu E, Dornfeld D a (1981) Quantitative relationships for acoustic emission from orthogonal metal cutting. J Eng Ind 103:330. https://doi.org/10.1115/1.3184493
Kannatey-Asibu E, Dornfeld DA (1982) A study of tool wear using statistical analysis of metal-cutting acoustic emission. Wear 76:247–261. https://doi.org/10.1016/0043-1648(82)90009-6
Teti R, Dornfeld D (1989) Modeling and experimental analysis of acoustic emission from metal cutting. J Eng Ind 111:229–237. https://doi.org/10.1115/1.3188754
Iwata K, Moriwaki T (1977) An application of acoustic emission measurement to in-process sensing of tool wear. Annals of the CIRP 25(1):21–26
Iwata K, Moriwaki T (1978) Cutting state identification and in-process tool wear sensing by acoustic emission, Bulletin of the Japanese Society for. Precis Eng 12:213–215
Dornfeld DA, Diei E (1982) Acoustic emission from simple upsetting of solid cylinders. J Eng Mater Technol Trans ASME 104:145–152. https://doi.org/10.1115/1.3225049.
Dornfeld DA (1983) Investigation of metal cutting and forming process fundamentals and control using acoustic emission, in: Proceedings of the Tenth NSF Conference on Production Research and Technology, Detroit, MI, March 1983
Cho SS, Komvopoulos K (1997) Correlation between acoustic emission and wear of multi-layer ceramic coated carbide tools. J Manuf Sci Eng 119(1997):238–246. https://doi.org/10.1115/1.2831100
Chiou RY, Liang SY (2000) Dynamic modeling of cutting acoustic emission via piezoelectric actuator wave control. Int J Mach Tools Manuf 40:641–659. https://doi.org/10.1016/S0890-6955(99)00095-4
Hase A, Wada M, Koga T, Mishina H (2014) The relationship between acoustic emission signals and cutting phenomena in turning process. Int J Adv Manuf Technol 70:947–955. https://doi.org/10.1007/s00170-013-5335-9
Venkata Rao K, Murthy BSN, Mohan Rao N (2013) Cutting tool condition monitoring by analyzing surface roughness, work piece vibration and volume of metal removed for AISI 1040 steel in boring. Meas J Int Meas Confed 46:4075–4084. https://doi.org/10.1016/j.measurement.2013.07.021
Subramanian M, Sakthivel M, Sooryaprakash K, Sudhakaran R (2013) Optimization of end mill tool geometry parameters for Al7075-T6 machining operations based on vibration amplitude by response surface methodology. Meas J Int Meas Confed 46:4005–4022. https://doi.org/10.1016/j.measurement.2013.08.015
Simeone A, Segreto T, Teti R (2013) Residual stress condition monitoring via sensor fusion in turning of Inconel 718. Procedia CIRP 12:67–72. https://doi.org/10.1016/j.procir.2013.09.013
Axinte DA, Gindy N (2003) Tool condition monitoring in broaching. Wear 254:370–382. https://doi.org/10.1016/S0043-1648(03)00003-6
Loutas TH, Sotiriades G, Kalaitzoglou I, Kostopoulos V (2009) Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements. Appl Acoust 70:1148–1159. https://doi.org/10.1016/j.apacoust.2009.04.007
Al-Ghamd AM, Mba D (2006) A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size. Mech Syst Signal Process 20:1537–1571. https://doi.org/10.1016/j.ymssp.2004.10.013
Tandon N, Mata S (1999) Detection of defects in gears by acoustic emission measurement. J Acoustic Emission 17(1–2):23–27
Singh A, Houser DR, Vijayakar S (1996) Early detection of gear pitting, Power transmission and gearing conference. ASME, DE 88:673–678
Rogers LM (1979) The application of vibration signature analysis and acoustic emission source location to on-line condition monitoring of anti-friction bearings. Tribol Int 12:51–58. https://doi.org/10.1016/0301-679X(79)90001-X
Mba D, Bannister RH, Findlay GE (1999) Condition monitoring of low-speed rotating machinery using stress waves Part 1. Proc Inst Mech Eng Part E J Process Mech 213:153–170. https://doi.org/10.1243/0954408991529906
Jamaludin N, Mba D, Bannister RH (2001) Condition monitoring of slow-speed rolling element bearings using stress waves. J Process Mech Eng 215:245–271. https://doi.org/10.1243/0954408011530488
Yoshioka T, Fujiwara T (1982) New acoustic emission source locating system for the study of rolling contact fatigue. Wear 81(1):183–186. https://doi.org/10.1016/0043-1648(82)90314-3
Yoshioka T, Fujiwara T (1984) Application of acoustic emission technique to detection of rolling bearing failure. Am Soc Mech Eng 14:55–76
Hawman MW, Galinaitis WS (1988) Acoustic emission monitoring of rolling element bearings, IEEE 1988 Ultrason. Symp Proc 2:885–889. https://doi.org/10.1109/ULTSYM.1988.49503
Holroyd TJ, Randall N (1993) Use of acoustic emission for machine condition monitoring. Br J Non-Destr Test 35(2):75–78
Holroyd T (2001) Condition monitoring of very slowly rotating machinery using AE techniques, 14th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM’2001), Manchester, UK, 4–6 September 2001, 29 (ISBN 0080440363)
Bagnoli S, Capitani R, Citti P (May 1988) Comparison of accelerometer and acoustic emission signals as diagnostic tools in assessing bearing. Proceedings of Second International Conference on Condition Monitoring, London, UK, pp 117–125
Morhain A, Mba D (2003) Bearing defect diagnosis and acoustic emission. J Eng Tribol 217:275–272. https://doi.org/10.1243/135065003768618614
Skrickij V, Bogdevičius M, Junevičius R (2016) Diagnostic features for the condition monitoring of hypoid gear utilizing the wavelet transform. Appl Acoust 106:51–62. https://doi.org/10.1016/j.apacoust.2015.12.018
Fang N (2003) Slip-line modeling of machining with a rounded-edge tool—part I: analysis of the size effect and the shear strain-rate. J. Mech. Phys. Solids. 51:715–742. https://doi.org/10.1016/S0022-5096(02)00061-3.
Fang N (2003) Slip-line modeling of machining with a rounded-edge tool—part II: analysis of the size effect and the shear strain-rate. J Mech Phys Solids 51:743–762. https://doi.org/10.1016/S0022-5096(02)00061-3.
Huang X-D, Zhang X-M, Ding H (2016) A novel relaxation-free analytical method for prediction of residual stress induced by mechanical load during orthogonal machining. Int J Mech Sci 115:299–309. https://doi.org/10.1016/j.ijmecsci.2016.06.024.
Budak E, Ozlu E, Bakioglu H, Barzegar Z (2016) Thermo-mechanical modeling of the third deformation zone in machining for prediction of cutting forces. CIRP Ann-Manuf Technol. 8–11.:https://doi.org/10.1016/j.cirp.2016.04.110.
Lee S, Hwang J, Shankar MR, Chandrasekar S, Compton W (2006) Large strain deformation field in machining. Metall Mater Trans A 37:1633–1643. https://doi.org/10.1007/s11661-006-0105-z
Guo Y, Compton WD, Chandrasekar S (2015) In situ analysis of flow dynamics and deformation fields in cutting and sliding of metals, Proc R Soc A Math Phys Eng Sci 471 doi:https://doi.org/10.1098/rspa.2015.0194.
Oxley PLB (1989) The mechanics of machining: an analytical approach to assessing machinability, 1st edn. John Wiley & Sons, New York
Kobayashi S, Thomsen EG (1959) Some observations on the shearing process in metal cutting. J Eng Ind 81:251–262
Moufki A, Devillez A, Dudzinski D, Molinari A (2004) Thermomechanical modelling of oblique cutting and experimental validation. Int J Mach Tools Manuf 44:971–989. https://doi.org/10.1016/j.ijmachtools.2004.01.018
Madhavan V, Chandrasekar S, Farris TN (2002) Direct observations of the chip-tool interface in the low speed cutting of pure metals. J Tribol 124:617. https://doi.org/10.1115/1.1398546
Ackroyd B, Chandrasekar S, Compton WD (2003) A model for the contact conditions at the chip-tool interface in machining. J Tribol 125:649. https://doi.org/10.1115/1.1537747
Coubron C et al (2013) On the existence of a thermal contact resistance at the tool-chip interface in dry cutting of AISI 1045: formation mechanisms and influence on the cutting process. Appl Thermal Eng 50:1311–1325. https://doi.org/10.1016/j.applthermaleng.2012.06.047
Blok H (1963) The flash temperature concept. Wear 6:483–494. https://doi.org/10.1016/0043-1648(63)90283-7.
Filippov AV, Nikonov AY, Rubtsov VE, Dmitriev AI, Tarasov SY (2017) Vibration and acoustic emission monitoring the stability of pealess tool turning: experiment and modeling. J Mat Process Tech 246:224–234
Acknowledgements
The work was carried out in the framework of the Fundamental Research Program of the State Academies of Sciences for 2017–2020 and within the framework of Tomsk Polytechnic University Competitiveness Enhancement Program.
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Filippov, A.V., Rubtsov, V.E., Tarasov, S.Y. et al. Detecting transition to chatter mode in peakless tool turning by monitoring vibration and acoustic emission signals. Int J Adv Manuf Technol 95, 157–169 (2018). https://doi.org/10.1007/s00170-017-1188-y
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DOI: https://doi.org/10.1007/s00170-017-1188-y