{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T15:56:46Z","timestamp":1776527806970,"version":"3.51.2"},"reference-count":58,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T00:00:00Z","timestamp":1600300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100012818","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["PEJD-2018-PRE\/IND-7963"],"award-info":[{"award-number":["PEJD-2018-PRE\/IND-7963"]}],"id":[{"id":"10.13039\/100012818","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work presents a non-invasive and low-cost alternative to traditional methods for measuring the performance of machining processes directly on existing machine tools. A prototype measuring system has been developed based on non-contact microphones, a custom designed signal conditioning board and signal processing techniques that take advantage of the underlying physics of the machining process. Experiments have been conducted to estimate the depth of cut during end-milling process by means of the measurement of the acoustic emission energy generated during operation. Moreover, the predicted values have been compared with well established methods based on cutting forces measured by dynamometers.<\/jats:p>","DOI":"10.3390\/s20185326","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T07:27:33Z","timestamp":1600414053000},"page":"5326","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7400-0033","authenticated-orcid":false,"given":"Andr\u00e9s","family":"Sio-Sever","sequence":"first","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Instrumentaci\u00f3n y Ac\u00fastica Aplicada, Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7342-5064","authenticated-orcid":false,"given":"Erardo","family":"Leal-Mu\u00f1oz","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad de La Frontera, Temuco 4780000, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7847-8707","authenticated-orcid":false,"given":"Juan","family":"Lopez-Navarro","sequence":"additional","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Instrumentaci\u00f3n y Ac\u00fastica Aplicada, Departamento de Telem\u00e1tica y Electr\u00f3nica, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo","family":"Alzugaray-Franz","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad de La Frontera, Temuco 4780000, Chile"},{"name":"Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad Polit\u00e9cnica de Madrid, 28006 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Vizan-Idoipe","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad Polit\u00e9cnica de Madrid, 28006 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1699-7389","authenticated-orcid":false,"given":"Guillermo","family":"de Arcas-Castro","sequence":"additional","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Instrumentaci\u00f3n y Ac\u00fastica Aplicada, Departamento de Ingenier\u00eda Mec\u00e1nica, Universidad Polit\u00e9cnica de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1007\/s00170-015-7418-2","article-title":"The effect of variable cutting depth and thickness on milling stability for orthogonal turn-milling","volume":"82","author":"Yan","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2545","DOI":"10.1007\/s00170-018-2127-2","article-title":"A force-measuring-based approach for feed rate optimization considering the stochasticity of machining allowance","volume":"97","author":"Zhang","year":"2018","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.measurement.2018.06.018","article-title":"Accuracy of a new online method for measuring machining parameters in milling","volume":"128","author":"Diez","year":"2018","journal-title":"Measurement"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s00170-010-2711-6","article-title":"Accuracy of a new online method for measuring machining parameters in milling","volume":"52","author":"Prickett","year":"2011","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.ymssp.2016.06.027","article-title":"Characterization of tool-workpiece contact during the micromachining of conductive materials","volume":"83","author":"Haber","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.sna.2015.05.015","article-title":"Conductance sensing for monitoring micromechanical machining of conductive materials","volume":"232","author":"Toro","year":"2015","journal-title":"Sens. Actuators A Phys."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1016\/j.ijmachtools.2008.01.011","article-title":"A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations","volume":"48","author":"Marinescu","year":"2008","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_8","first-page":"53","article-title":"A time-frequency acoustic emission-based monitoring technique to identify workpiece surface malfunctions in milling with multiple teeth cutting simultaneously","volume":"41","author":"Axinte","year":"2009","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1007\/s00170-020-05751-7","article-title":"Detection of tool breakage during milling process through acoustic emission","volume":"109","author":"Sun","year":"2020","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"107478","DOI":"10.1016\/j.measurement.2020.107478","article-title":"Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining","volume":"154","author":"Ahmed","year":"2020","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2781","DOI":"10.1007\/s00170-015-8303-8","article-title":"Using spindle noise to monitor tool wear in a turning process","volume":"86","author":"Seemuang","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1080\/0951192X.2018.1550681","article-title":"Prediction of cutting tool wear during milling process using artificial intelligence techniques","volume":"32","author":"Shankar","year":"2019","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Prakash, K., and Samraj, A. (2017, January 3\u20134). Tool Flank Wears Estimation by Simplified SVD on Emitted Sound Signals. Proceedings of the 2017 Conference on Emerging Devices and Smart Systems (ICEDSS), Tiruchengode, India.","DOI":"10.1109\/ICEDSS.2017.8073702"},{"key":"ref_14","first-page":"2419","article-title":"Investigation of milling stability under cutting fluid supply by microphone signal analysis","volume":"30","author":"Lee","year":"2018","journal-title":"Sens. Mater."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s40430-018-0989-8","article-title":"Estimation of stable cutting zone in turning based on empirical mode decomposition and statistical approach","volume":"40","author":"Shrivastava","year":"2018","journal-title":"J. Braz. Soc. Mech. Sci. Eng."},{"key":"ref_16","first-page":"1","article-title":"On-line energy-based milling chatter detection","volume":"140","author":"Kilic","year":"2018","journal-title":"J. Manuf. Sci. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Lee, W.-C., Cheng, H.-C., and Wei, C.-C. (2018, January 15\u201318). Development of a machining monitoring and chatter suppression device. Proceedings of the 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, Russia.","DOI":"10.1109\/ICPHYS.2018.8387692"},{"key":"ref_18","first-page":"3575","article-title":"Implementation of an Add-on Device that Monitors the Sound of a Machine Tool and Automatically Suppresses Chatter","volume":"31","author":"Lee","year":"2019","journal-title":"Sens. Mater."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"106840","DOI":"10.1016\/j.ymssp.2020.106840","article-title":"Recent progress of chatter prediction, detection and suppression in milling","volume":"143","author":"Zhu","year":"2020","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.procir.2016.03.023","article-title":"Surface Roughness in Ultra-high Precision Grinding of BK7","volume":"45","author":"Onwuka","year":"2016","journal-title":"Procedia CIRP"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.1007\/s00170-020-05711-1","article-title":"Experimental correlation between acoustic emission and stability in micromilling of different grain-sized materials","volume":"109","author":"Ribeiro","year":"2020","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.apsusc.2019.07.110","article-title":"Mechanical properties and wear behavior of multi-layer diamond films deposited by hot-filament chemical vapor deposition","volume":"494","author":"Yan","year":"2019","journal-title":"Appl. Surf. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Dong, C., Mo, J., Yuan, C., Bai, X., and Tian, Y. (2019). Vibration and Noise Behaviors During Stick\u2013Slip Friction. Tribol. Lett., 67.","DOI":"10.1007\/s11249-019-1216-1"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Srinivasan, A., Bhinge, R., and Dornfeld, D. (2016, January 1\u20133). Integrated vibration and acoustic data data fusion for chatter and tool classification in milling. Proceedings of the ISFA 2016, 2016 International Symposium on Flexible Automation, Cleveland, OH, USA.","DOI":"10.1109\/ISFA.2016.7790172"},{"key":"ref_25","unstructured":"Gaja, H., and Liou, F. (2015, January 10\u201312). Depth of cut monitoring for hybrid manufacturing using acoustic emission sensor. Proceedings of the 26th Annual International Solid Freeform Fabrication Symposium, Austin, TX, USA."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jmatprotec.2018.05.013","article-title":"A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine","volume":"260","author":"Zhang","year":"2018","journal-title":"J. Mater. Process. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1007\/s12206-018-1232-3","article-title":"Experimental investigation of vibration intensities of CNC machining centre by microphone signals with the effect of TiN\/epoxy coated tool holder","volume":"33","author":"Bejaxhin","year":"2019","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3449","DOI":"10.1109\/LRA.2019.2926666","article-title":"Intelligent Machining Monitoring Using Sound Signal Processed with the Wavelet Method and a Self-Organizing Neural Network","volume":"4","author":"Nasir","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1007\/s10921-019-0577-6","article-title":"Evaluation of Acoustic Emission Source Location in Long Steel Pipes for Continuous and Semi-continuous Sources","volume":"38","author":"Shehadeh","year":"2019","journal-title":"J. Nondestruct. Eval."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"102719","DOI":"10.1016\/j.tafmec.2020.102719","article-title":"Acoustic emission methods for lifetime estimations in aircraft structures","volume":"109","author":"Shanyavskiy","year":"2020","journal-title":"Theor. Appl. Fract. Mech."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6630","DOI":"10.1109\/TIM.2020.2969062","article-title":"Fault Diagnosis of Industrial Wind Turbine Blade Bearing Using Acoustic Emission Analysis","volume":"69","author":"Liu","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1109\/TMECH.2018.2804950","article-title":"Bioinspired Integration of Auditory and Haptic Perception in Bone Milling Surgery","volume":"23","author":"Dai","year":"2018","journal-title":"IEEE\/ASME Trans. Mech."},{"key":"ref_33","unstructured":"Ianasaki, I., and Toensho, H.K. (2001). Sensors in Manufacturing, Wiley-VCH."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"281","DOI":"10.20965\/jrm.2020.p0281","article-title":"Application of micro-electro-mechanical systems (MEMS) as sensors: A review","volume":"32","author":"Faudzi","year":"2020","journal-title":"J. Robot. Mech."},{"key":"ref_35","first-page":"21","article-title":"Manufacturing, encapsulation and reliability of micro-and nano-sensors","volume":"68","year":"2020","journal-title":"EEA Electr. Electron. Autom."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kim, H., Jung, W.-Y., Choi, I.-G., and Ahn, S.-H. (2019). A Low-Cost Vision-Based Monitoring of Computer Numerical Control (CNC) Machine Tools for Small and Medium-Sized Enterprises (SMEs). Sensors, 19.","DOI":"10.3390\/s19204506"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Modica, F., Basile, V., Ruggeri, S., Fontana, G., and Fassi, I. (2018, January 11\u201313). Can A Low Cost Sensing System Be Exploited for High Precision Machining?. Proceedings of the 15th CIRP Conference on Computer Aided Tolerancing, Milan, Italy.","DOI":"10.1016\/j.procir.2018.04.034"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Narayanan, A., Kanyuck, A., Gupta, S.K., and Rachuri, S. (July, January 27). Machine condition detection for milling operations using low cost ambient sensors. Proceedings of the ASME 2016 International Manufacturing Science and Engineering Conference, Blacksburg, VA, USA. MSEC2016-8666.","DOI":"10.1115\/MSEC2016-8666"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.procir.2013.09.017","article-title":"A comparison of low cost structure-borne sound measurement and acceleration measurement for detection of workpiece vibrations in 5-axis simultaneous machining","volume":"12","author":"Biermann","year":"2013","journal-title":"Procedia CIRP"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.envint.2014.11.019","article-title":"The rise of low-cost sensing for managing air pollution in cities","volume":"75","author":"Kumar","year":"2015","journal-title":"Environ. Int."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.envint.2016.12.007","article-title":"Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?","volume":"99","author":"Castell","year":"2017","journal-title":"Environ. Int."},{"key":"ref_42","first-page":"67","article-title":"Air quality monitoring network for tracking pollutants: The case study of Salerno city center","volume":"68","author":"Sofia","year":"2018","journal-title":"Chem. Eng. Trans."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"9078","DOI":"10.3390\/s150409078","article-title":"Application of micro-electro-mechanical sensors contactless NDT of concrete structures","volume":"15","author":"Ham","year":"2015","journal-title":"Sensors"},{"key":"ref_44","unstructured":"Reich, C., Mansour, A., and Van Laerhoven, K. (2018, January 3\u20137). European Signal Processing Conference. Proceedings of the European Signal Processing Conference, Roma, Italy."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Kazari, H., and Ozevin, D. (2019, January 10\u201312). Multi frequency acoustic emission micromachined transducers for structural health monitoring. Proceedings of the 12th International Workshop on Structural Health Monitoring, Stanford, CA, USA.","DOI":"10.12783\/shm2019\/32100"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Raviola, E., and Fiori, F. (2020). A Low-Cost, Small-Size, and Bluetooth-Connected Module to Detect Faults in Rolling Bearings. Appl. Sci., 10.","DOI":"10.3390\/app10165645"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"9541","DOI":"10.3390\/s101109541","article-title":"Novel designs for application specific MEMS pressure sensors","volume":"110","author":"Fragiacomo","year":"2010","journal-title":"Sensors"},{"key":"ref_48","first-page":"176","article-title":"Precision manufacturing process monitoring with acoustic emission","volume":"46","author":"Lee","year":"2006","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.promfg.2018.11.008","article-title":"Process monitoring on drilling fiber-reinforced plastics and aluminum stacks using acoustic emissions","volume":"18","author":"Kimmelmann","year":"2018","journal-title":"Procedia Manuf."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1243\/09544054JEM2057","article-title":"Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 625","volume":"225","author":"Jemielniak","year":"2011","journal-title":"Proc. Inst. Mech. Eng. Part B J. Eng. Manuf."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1016\/j.cirp.2010.05.010","article-title":"Advanced monitoring of machining operations","volume":"59","author":"Dornfeld","year":"2010","journal-title":"CIRP Ann. Manuf. Technol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2913","DOI":"10.1007\/s00170-016-8395-9","article-title":"Automatic detection of depth of cut during end milling operation using acoustic emission sensor","volume":"86","author":"Gaja","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1108\/SR-06-2016-0107","article-title":"Adaptive neuro-fuzzy fusion of multi-sensor data for monitoring of CNC machining","volume":"37","author":"Srdjovic","year":"2017","journal-title":"Sens. Rev."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.asoc.2015.02.037","article-title":"Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission","volume":"31","author":"Ren","year":"2015","journal-title":"Appl. Soft Comput. J."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.procir.2015.06.050","article-title":"Monitoring single-point dressers using fuzzy models","volume":"33","author":"Miranda","year":"2015","journal-title":"Procedia CIRP"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s40430-016-0525-7","article-title":"Estimating high precision hole diameters of aerospace alloys using artificial intelligence systems: A comparative analysis of different techniques","volume":"39","author":"Aguiar","year":"2017","journal-title":"J. Braz. Soc. Mech. Sci. Eng."},{"key":"ref_57","first-page":"454","article-title":"Evaluation of neural models to estimate the roughness of advanced ceramics in surface grinding","volume":"17","author":"Nakai","year":"2015","journal-title":"Int. J. Mach. Mach. Mater."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Pan, W., Pan, W., Wu, Y., and Guo, L. (2019). New method for the calibration of cutter runout parameters in milling process. IOP Conf. Ser. Mater. Sci. Eng., 688.","DOI":"10.1088\/1757-899X\/688\/3\/033080"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/18\/5326\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:10:59Z","timestamp":1760177459000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/18\/5326"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,17]]},"references-count":58,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["s20185326"],"URL":"https:\/\/doi.org\/10.3390\/s20185326","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,17]]}}}