{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T03:22:39Z","timestamp":1773717759256,"version":"3.50.1"},"reference-count":121,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T00:00:00Z","timestamp":1652918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Jiangsu \u201cSix Talent Peak\u201d Project","award":["JXQC-022"],"award-info":[{"award-number":["JXQC-022"]}]},{"name":"Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology","award":["JXQC-022"],"award-info":[{"award-number":["JXQC-022"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>High-speed cutting technology has become a development trend in the material processing industry. However, high-intensity noise generated during high-speed cutting exerts a potential effect on the processing efficiency, processing accuracy, and product quality of the workpiece; it may even cause hidden safety hazards. To conduct an in-depth study of noise in high-speed cutting machining, this work reviews noise sources, noise collection and numerical recognition, noise control, and condition monitoring based on acoustic signals. First, this article introduces noise sources, noise signal acquisition equipment, and analysis software. It is pointed out that how to accurately classify and recognize the target signal in the complex high-speed machining environment is one of the focuses of scholars\u2019 research. Then, it points out that a computer achieves high accuracy and practicability in signal analysis, processing, and result display. Second, in the aspect of noise signal processing, the characteristics of noise signals are analyzed. It is pointed out that accurately analyzing the characteristics of different noise source signals and adopting appropriate methods for identification and processing are the necessary conditions for effectively controlling and reducing the noise in the process of high-speed cutting. The advantages and applicable fields of artificial intelligence algorithms in processing mixed noise source signals with different frequency characteristics are compared, providing ideas for studying the mechanism of noise generation and the identification of noise sources. Third, in terms of noise control, a detailed overview is provided from the aspects of the treatment of the noise source that contributes the most to the overall noise, the improvement of the tool structure, the optimization of cutting parameters, and the analysis of contact factors between the tool and the workpiece. It provides an effective way for noise control in the process of high-speed cutting. In addition, the application of acoustic signals to condition monitoring is also thoroughly analyzed. The practical application value of condition monitoring based on acoustic signals in high-speed machining is highlighted. Finally, this paper summarizes the positive significance of noise research in high-speed machining and identifies key problems and possible research methods that require further study in the future.<\/jats:p>","DOI":"10.3390\/s22103851","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:18:11Z","timestamp":1653005891000},"page":"3851","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Research Progress of Noise in High-Speed Cutting Machining"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5333-4707","authenticated-orcid":false,"given":"Weihua","family":"Wei","sequence":"first","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"}]},{"given":"Yunyue","family":"Shang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"}]},{"given":"You","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"}]},{"given":"Rui","family":"Cong","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,19]]},"reference":[{"key":"ref_1","unstructured":"Xing, A. (2004). High-Speed Machining, National Defense Industry Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1080\/0951192X.2019.1667026","article-title":"A cutting parameter-based model for cost and carbon emission optimisation in a NC turning process","volume":"32","author":"Yin","year":"2019","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1243\/0954405041486064","article-title":"An investigation of the tool-chip contact length and wear in high-speed turning of EN19 steel","volume":"218","author":"Abukhshim","year":"2004","journal-title":"J. Eng. Manuf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1080\/10910340701804112","article-title":"Comparison of machined surface quality obtained by high-speed machining and conventional turning","volume":"11","author":"Ekinovic","year":"2007","journal-title":"Mach. Sci. Technol."},{"key":"ref_5","first-page":"583","article-title":"Development and Status Quo of High-speed Cutting","volume":"Volume 43","author":"Chen","year":"2011","journal-title":"Advances in Mechatronics Technology, Proceedings of the 6th China-Japan International Conference on Mechatronics (CJCM 2010), Zhenjiang, China, 10\u201312 September 2010"},{"key":"ref_6","first-page":"496","article-title":"Finite Element Analysis of High Speed Cutting Tool","volume":"268\u2013270","author":"Fan","year":"2013","journal-title":"Mater. Mech. Eng. Manuf."},{"key":"ref_7","first-page":"1838","article-title":"Finite Element Simulation and Experiment of Chip Formation during High Speed Cutting of Hardened Steel","volume":"29\u201332","author":"Duan","year":"2010","journal-title":"Appl. Mech. Mech. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/0924-0136(95)01924-3","article-title":"High-speed machining: An approach to process analysis","volume":"54","author":"Dagiloke","year":"1995","journal-title":"J. Mater. Process. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/j.matpr.2019.08.138","article-title":"Optimization of process parameters during turning of Inconel 625","volume":"19","author":"Waghmode","year":"2019","journal-title":"Mater. Today-Proc."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zhou, H., Jing, X., Wang, L., Dai, K., and Jia, Y. (2014). Research on High Speed Cutting Parameter Optimization and Fault Diagnosis Technology. Adv. Mech. Eng.","DOI":"10.1155\/2014\/281216"},{"key":"ref_11","first-page":"1788","article-title":"Experimental Study on High-speed Milling of Aluminum Alloy 2A70","volume":"314\u2013316","author":"Yu","year":"2011","journal-title":"Adv. Manuf. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s11223-014-9549-3","article-title":"Research on Cutting-Temperature Field and Distribution of Heat Rates Among a Workpiece, Cutter, and Chip for High-Speed Cutting Based on Analytical and Numerical Methods","volume":"46","author":"An","year":"2014","journal-title":"Strength Mater."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1391","DOI":"10.1007\/s00170-018-2341-y","article-title":"Application of acoustic emissions in machining processes: Analysis and critical review","volume":"98","author":"Kishawy","year":"2018","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.measurement.2014.08.035","article-title":"Monitoring and processing signal applied in machining processes\u2014A review","volume":"58","author":"Lauro","year":"2014","journal-title":"Measurement"},{"key":"ref_15","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":"Teti","year":"2010","journal-title":"CIRP Ann.-Manuf. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s00170-011-3797-1","article-title":"Grinding wheel wear monitoring based on wavelet analysis and support vector machine","volume":"62","author":"Yang","year":"2012","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"58279","DOI":"10.1109\/ACCESS.2020.2982800","article-title":"An Intelligent System for Grinding Wheel Condition Monitoring Based on Machining Sound and Deep Learning","volume":"8","author":"Lee","year":"2020","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"108582","DOI":"10.1016\/j.measurement.2020.108582","article-title":"Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning","volume":"173","author":"Kuntoglu","year":"2021","journal-title":"Measurement"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Buck, D., Wang, J., Wu, Z., Xu, W., and Guo, X. (2022). Machinability of Different Wood-Plastic Composites during Peripheral Milling. Materials, 15.","DOI":"10.3390\/ma15041303"},{"key":"ref_20","first-page":"90","article-title":"Machine Learning Data Analysis for Tool Wear Prediction in Core Multi Process Machining","volume":"20","author":"Choi","year":"2021","journal-title":"J. Korean Soc. Manuf. Process Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1016\/j.apacoust.2009.03.008","article-title":"Friction noise technique for the measurement of surface roughness of papers","volume":"70","author":"Aguilar","year":"2009","journal-title":"Appl. Acoust."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1177\/0954405420949105","article-title":"Wear state evaluation of inner-diameter saw blade based on vibration and noise signals during processing","volume":"235","author":"Pei","year":"2021","journal-title":"J. Eng. Manuf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2140","DOI":"10.1016\/j.ijmachtools.2007.04.013","article-title":"An approach based on current and sound signals for in-process tool wear monitoring","volume":"47","author":"Salgado","year":"2007","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"12035","DOI":"10.1016\/j.matpr.2018.02.178","article-title":"Fault Diagnosis of Face Milling Tool using Decision Tree and Sound Signal","volume":"5","author":"Madhusudana","year":"2018","journal-title":"Mater. Today-Proc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"25720","DOI":"10.1016\/j.matpr.2018.11.014","article-title":"Tool Wear Monitoring of Multipoint Cutting Tool using Sound Signal Features Signals with Machine Learning Techniques","volume":"5","author":"Ravikumar","year":"2018","journal-title":"Mater. Today-Proc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1007\/s00170-005-0116-8","article-title":"Life prediction system using a tool\u2019s geometric shape for high-speed milling","volume":"30","author":"Lin","year":"2006","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Yang, Y., Zhuang, Z., and Yu, Y. (2022). Defect Removal and Rearrangement of Wood Board Based on Genetic Algorithm. Forests, 13.","DOI":"10.3390\/f13010026"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jmapro.2019.12.034","article-title":"An online belt wear monitoring method for abrasive belt grinding under varying grinding parameters","volume":"50","author":"Cheng","year":"2020","journal-title":"J. Manuf. Processes"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.jmapro.2020.09.061","article-title":"Multi-information fusion-based belt condition monitoring in grinding process using the improved-Mahalanobis distance and convolutional neural networks","volume":"59","author":"Qi","year":"2020","journal-title":"J. Manuf. Processes"},{"key":"ref_30","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_31","doi-asserted-by":"crossref","first-page":"3041","DOI":"10.1177\/09544062211072411","article-title":"The cutting sound effect on the power consumption, surface roughness, and machining force in dry turning of Ti-6Al-4V titanium alloy","volume":"236","author":"Rafighi","year":"2022","journal-title":"J. Mech. Eng. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e20180395","DOI":"10.1590\/2179-8087.039518","article-title":"Analysis of Noise Transmitted to Workers in Motor-Manual Forest Harvesting in Minas Gerais State","volume":"26","author":"Billo","year":"2019","journal-title":"Floresta Ambiente"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2702","DOI":"10.15376\/biores.13.2.2702-2714","article-title":"Effects of Some Machining Parameters on Noise Level in Planing of Some Wood Materials","volume":"13","author":"Durcan","year":"2018","journal-title":"Bioresources"},{"key":"ref_34","first-page":"217","article-title":"The Application of Green Manufacturing Technology in Mechanical Processing","volume":"Volume 143\u2013144","author":"Wang","year":"2011","journal-title":"International Conference on Smart Materials and Intelligent Systems, Pts 1 and 2"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1179\/2049396714Y.0000000084","article-title":"Prevalence of noise-induced hearing loss among woodworkers in Nepal: A pilot study","volume":"21","author":"Robinson","year":"2015","journal-title":"Int. J. Occup. Environ. Health"},{"key":"ref_36","unstructured":"Li, H., Zhang, Y.P., Liu, F.L., and Yang, T.Q. (2003, January 1\u20135). Vibration and noise source monitoring of a vertical milling machine. Proceedings of the ISTM\/2003: 5th International Symposium on Test and Measurement, Shenzhen, China."},{"key":"ref_37","first-page":"1","article-title":"Vibration response simulation of a machine tool spindle system in non-stationary regime","volume":"17","author":"Barkallah","year":"2015","journal-title":"J. Vibroeng."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.cirpj.2019.04.001","article-title":"Noise analysis and sources identification in machine tool spindles","volume":"25","author":"Cao","year":"2019","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Radu, M.C., Andrei, L., and Andrei, G. (2018, January 7\u20138). A perspective on gear meshing quality based on transmission error analysis. Proceedings of the 8th International Conference on Advanced Concepts in Mechanical Engineering (ACME), Iasi, Romania.","DOI":"10.1088\/1757-899X\/444\/5\/052011"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.wear.2009.08.024","article-title":"An experimental study on roughness noise of dry rough flat surfaces","volume":"268","author":"Zahouani","year":"2010","journal-title":"Wear"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/S1000-9361(08)60023-0","article-title":"Design of pinion machine tool-settings for spiral bevel gears by controlling contact path and transmission errors","volume":"21","author":"Cao","year":"2008","journal-title":"Chin. J. Aeronaut."},{"key":"ref_42","unstructured":"Luo, Y.S., Fu, X.G., and Wang, X.J. (2009, January 19\u201321). Malfunction Analysis of the NC Machine Tool and Its Vibration Model. Proceedings of the 3rd International Conference on Engineering and Technologies and Ceeusro (ICETC 2009), Changzhou, China."},{"key":"ref_43","unstructured":"Le Bot, A. (2016, January 13\u201315). Noise of sliding rough contact. Proceedings of the 15th Anglo-French Physical Acoustics Conference (AFPAC 2016), Surrey, UK."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Jolivet, S., Mezghani, S., El Mansori, M., and Zahouani, H. (2014, January 25\u201327). Numerical Simulation of Tooth Surface Finish Effects on Gear Noise. Proceedings of the ASME 12th Biennial Conference on Engineering Systems Design and Analysis, Copenhagen, Denmark.","DOI":"10.1115\/ESDA2014-20575"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1016\/j.wear.2019.01.017","article-title":"Vibration-based updating of wear prediction for spur gears","volume":"426","author":"Feng","year":"2019","journal-title":"Wear"},{"key":"ref_46","first-page":"80","article-title":"Noise analysis and noise reduction of CDS6140B high-speed lathe","volume":"6","author":"Lin","year":"2004","journal-title":"Modul. Mach. Tool Autom. Manuf. Tech."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.cirp.2010.03.079","article-title":"Development of an active clamping system for noise and vibration reduction","volume":"59","author":"Hesselbach","year":"2010","journal-title":"CIRP Ann.-Manuf. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/s00170-013-5258-5","article-title":"Sparse representation and its applications in micro-milling condition monitoring: Noise separation and tool condition monitoring","volume":"70","author":"Zhu","year":"2014","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.apacoust.2013.07.004","article-title":"Effect of cutter geometric configuration on aerodynamic noise generation in face milling cutters","volume":"75","author":"Ji","year":"2013","journal-title":"Appl. Acoust."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1115\/1.2335861","article-title":"Modeling and analysis of aerodynamic noise in milling cutters","volume":"129","author":"Sampath","year":"2007","journal-title":"J. Manuf. Sci. Eng. Trans. ASME"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"108028","DOI":"10.1016\/j.apacoust.2021.108028","article-title":"The circular saw blade body modification by elastic material layer effecting circular saws sound pressure level when idling and cutting","volume":"179","author":"Svoren","year":"2021","journal-title":"Appl. Acoust."},{"key":"ref_52","unstructured":"Jin, W.Z. (2003). Noise from Cutting Mechanism of Wood working Machine and Its New Control Technology. China Saf. Sci. J., 81\u201383. (In Chinese)."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s00170-012-4177-1","article-title":"A review of flank wear prediction methods for tool condition monitoring in a turning process","volume":"65","author":"Siddhpura","year":"2013","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.wear.2014.02.004","article-title":"Comparison and analysis of audible sound energy emissions during single point machining of HSTS with PVD TiCN cutter insert across full tool life","volume":"313","author":"Downey","year":"2014","journal-title":"Wear"},{"key":"ref_55","first-page":"1117529","article-title":"Study on Wear Behavior of Grinding Wheel for the Generating Process of UV grade Fused Silica","volume":"2019","author":"Chen","year":"2019","journal-title":"Optifab"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.jmapro.2019.10.020","article-title":"Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning","volume":"48","author":"Li","year":"2019","journal-title":"J. Manuf. Processes"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Prasetyo, T., Amar, S., Arendra, A., and Zami, M.K.Z. (2017, January 27\u201328). IOP, On-line Tool Wear Detection on DCMT070204 Carbide Tool Tip Based on Noise Cutting Audio Signal using Artificial Neural Network. Proceedings of the 2nd International Joint Conference on Science and Technology (IJCST), Bali, Indonesia.","DOI":"10.1088\/1742-6596\/953\/1\/012144"},{"key":"ref_58","unstructured":"Liang, Y., Zhang, J., and Wang, Z. (2012, January 15\u201316). Study on the Motor Noise Based on LabVIEW and FFT. Proceedings of the International Conference on Measurement, Instrumentation and Automation (ICMIA 2012), Guangzhou, China."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Peng, C., Raihany, U., Kuo, S., and Chen, Y. (2021). Sound Detection Monitoring Tool in CNC Milling Sounds by K-Means Clustering Algorithm. Sensors, 21.","DOI":"10.3390\/s21134288"},{"key":"ref_60","unstructured":"Wu, H., Lou, J., and Liu, W. (2012, January 15\u201316). Identification of noise source based on partial coherence analysis. Proceedings of the International Conference on Measurement, Instrumentation and Automation (ICMIA 2012), Guangzhou, China."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1243\/0954406JMES189","article-title":"Acoustical feature extraction of rotating machinery with combined wave superposition and blind source separation","volume":"220","author":"Xue","year":"2006","journal-title":"J. Mech. Eng. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Yang, Y., Li, Z., Wang, X., and Zhang, D. (2011, January 23\u201325). Noise Source Separation based on the Blind Source Separation. Proceedings of the 2011 Chinese Control and Decision Conference (CCDC), Mianyang, China.","DOI":"10.1109\/CCDC.2011.5968579"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1016\/j.ymssp.2016.09.014","article-title":"Audio signal analysis for tool wear monitoring in sheet metal stamping","volume":"85","author":"Ubhayaratne","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"3797","DOI":"10.1007\/s00170-017-1460-1","article-title":"Application of audible sound signals for tool wear monitoring using machine learning techniques in end milling","volume":"95","author":"Kothuru","year":"2018","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Portsev, R.J., and Makarenko, A.V. (2018, January 17\u201320). Convolutional Neural Networks for Noise Signal Recognition. Proceedings of the 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark.","DOI":"10.1109\/MLSP.2018.8516920"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"204112","DOI":"10.1016\/j.wear.2021.204112","article-title":"Robust wheel wear detection for solid carbide grinding under strong noise interference: A new approach based on improved ensemble noise-reconstructed empirical mode decomposition","volume":"486","author":"Yin","year":"2021","journal-title":"Wear"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1049\/iet-smt.2014.0023","article-title":"Rolling element bearing fault diagnosis based on non-local means de-noising and empirical mode decomposition","volume":"8","author":"Van","year":"2014","journal-title":"IET Sci. Meas. Technol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s10845-008-0102-8","article-title":"Cutting parameters analysis for the development of a milling process monitoring system based on audible energy sound","volume":"20","author":"Rubio","year":"2009","journal-title":"J. Intell. Manuf."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Sun, Y., Liu, Y., Yu, Z., Yu, H., and Xu, J. (2012, January 11\u201314). Milling Force Mixed-signal Denoising Based on ICA in High Speed Micro-milling. Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China.","DOI":"10.1109\/ROBIO.2012.6491103"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1007\/s00170-004-2476-x","article-title":"Application of wavelet transform technique to detect tool failure in turning operations","volume":"28","author":"Kwak","year":"2006","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"11205","DOI":"10.3390\/s120811205","article-title":"Noise Smoothing for Structural Vibration Test Signals Using an Improved Wavelet Thresholding Technique","volume":"12","author":"Yi","year":"2012","journal-title":"Sensors"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1007\/s00170-009-2245-y","article-title":"Chatter prevention for milling process by acoustic signal feedback","volume":"47","author":"Tsai","year":"2010","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Gao, Q., Chen, A., and Jing, G. (2009, January 17\u201319). Research on Time-frequency Characteristics of Engine Induction Noise and Time-frequency Representation of the Acoustic Signals. Proceedings of the 2009 2nd International Congress on Image and Signal Processing, Tianjin, China.","DOI":"10.1109\/CISP.2009.5303707"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"2747","DOI":"10.1007\/s00170-016-9660-7","article-title":"Chatter detection in milling process based on synchrosqueezing transform of sound signals","volume":"89","author":"Cao","year":"2017","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1007\/s12541-018-0098-8","article-title":"Time Frequency Image and Artificial Neural Network Based Classification of Impact Noise for Machine Fault Diagnosis","volume":"19","author":"Kim","year":"2018","journal-title":"Int. J. Precis. Eng. Manuf."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1687814018754674","DOI":"10.1177\/1687814018754674","article-title":"Improved multi-wavelet denoising with neighboring coefficients of cutting force for application in the load spectrum of computer numerical control lathe","volume":"10","author":"He","year":"2018","journal-title":"Adv. Mech. Eng."},{"key":"ref_77","first-page":"18","article-title":"Efficient computation of aerodynamic noise","volume":"218","author":"Djambazov","year":"1998","journal-title":"Contemp. Math."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1115\/1.2716702","article-title":"Modeling and prediction of cutting noise in the face-milling process","volume":"129","author":"Sampath","year":"2007","journal-title":"J. Manuf. Sci. Eng. Trans. ASME"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.1007\/s12206-015-0421-6","article-title":"Characteristics of unsteady flow field and aeroacoustic noise in a regenerative blower","volume":"29","author":"Lim","year":"2015","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"041002","DOI":"10.1115\/1.4006772","article-title":"Numerical Analysis of Aeroacoustic Noise for High-Speed Face Milling Cutters in Three Dimensional Unsteady Flow Fields","volume":"134","author":"Ji","year":"2012","journal-title":"J. Manuf. Sci. Eng. Trans. ASME"},{"key":"ref_81","first-page":"602","article-title":"Research on Calculation of Aerodynamic Noise Based on Sound Source Perspective Method","volume":"4","author":"Mou","year":"2016","journal-title":"J. Northwest Polytech. Univ."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"3171","DOI":"10.1007\/s12206-017-0606-2","article-title":"A neural network based approach for background noise reduction in airborne acoustic emission of a machining process","volume":"31","author":"Zafar","year":"2017","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1687814018789771","DOI":"10.1177\/1687814018789771","article-title":"Automated green innovation for computerized numerical-controlled machining design","volume":"10","author":"Lan","year":"2018","journal-title":"Adv. Mech. Eng."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"2557","DOI":"10.1007\/s00170-018-2841-9","article-title":"A profile error compensation method in precision grinding of screw rotors","volume":"100","author":"Liu","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_85","unstructured":"Mu, C., Gao, C., and Ge, Z. (2012, January 19\u201321). Noise Decreasing Methods of Gearing Vibration for a Idling Construction Machine. Proceedings of the International Conference on Vibration, Structural Engineering and Measurement (ICVSEM2012), Shanghai China."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.ijmachtools.2019.02.001","article-title":"A novel magnetorheological gear profile finishing with high shape accuracy","volume":"139","author":"Yadav","year":"2019","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_87","first-page":"147","article-title":"A Weighted Mean Square Error Approach to the Robust Optimization of the Surface Roughness in an AISI 12L14 Free-Machining Steel-Turning Process","volume":"64","author":"Gomes","year":"2018","journal-title":"J. Mech. Eng."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.precisioneng.2019.07.013","article-title":"Robust optimisation of surface roughness of AISI H13 hardened steel in the finishing milling using ball nose end mills","volume":"60","author":"Arruda","year":"2019","journal-title":"Precis. Eng."},{"key":"ref_89","unstructured":"Bulucea, C.A., Mladenov, V., Pop, E., Leba, M., and Mastorakis, N. (2009). Analysis of noise level at longitudinal wood processing with different circular saw blades. Recent Advances in Environment, Ecosystems and Development, Proceedings of the 7th WSEAS International Conference on Environment, Ecosystems and Development, Puerto de la Cruz, Spain, 14\u201316 December 2009, WSEAS Press."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"7783","DOI":"10.1007\/s11665-021-06066-8","article-title":"Statistical Analysis of the Effect of the Cutting Tool Coating Type on Sustainable Machining Parameters","volume":"30","author":"Ozbek","year":"2021","journal-title":"J. Mater. Eng. Perform."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"606","DOI":"10.37763\/wr.1336-4561\/66.4.606620","article-title":"Performance of Coated Tungsten Carbide in Milling Composite Boards","volume":"66","author":"Pangestu","year":"2021","journal-title":"Wood Res.-Slovak."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Pangestu, K.T.P., Nandika, D., Wahyudi, I., Usuki, H., and Darmawan, W. (2021). Innovation of helical cutting tool edge for eco-friendly milling of wood-based materials. Wood Mater. Sci. Eng.","DOI":"10.1080\/17480272.2021.1912174"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.15376\/biores.10.1.1657-1666","article-title":"Effect of Number of Saw Blade Teeth on Noise Level and Wear of Blade Edges during Cutting of Wood","volume":"10","author":"Kvietkova","year":"2015","journal-title":"Bioresources"},{"key":"ref_94","first-page":"188","article-title":"Structure Optimization for a High-speed Rotating Scribing Knife Based on Noise Analysis and Evaluation","volume":"1","author":"Li","year":"2014","journal-title":"Noise Vib. Control"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"129","DOI":"10.5552\/crojfe.2020.657","article-title":"Influence of Cutting Attachment on Noise Level Emitted by Brush Cutter during Tending of Young Forests","volume":"41","author":"Naskrent","year":"2020","journal-title":"Croat. J. For. Eng."},{"key":"ref_96","first-page":"61","article-title":"Research on Mechanisms and Control of Metal Turning Noise","volume":"1","author":"Wang","year":"1996","journal-title":"J. Tianjin Univ."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.cirpj.2022.01.003","article-title":"Study on helical milling performance of wood-plastic composites","volume":"37","author":"Wu","year":"2022","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.cirpj.2016.09.001","article-title":"Reduction of noise during milling operations","volume":"18","author":"Rech","year":"2017","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_99","first-page":"36","article-title":"Modeling of Milling Acoustic for Numerical Control Machining","volume":"19","author":"Huang","year":"2010","journal-title":"Mach. Hydraul."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s12541-018-0074-3","article-title":"Optimization of Cutting Parameters for Minimizing Environmental Impact: Considering Energy Efficiency, Noise Emission and Economic Dimension","volume":"19","author":"Zhang","year":"2018","journal-title":"Int. J. Precis. Eng. Manuf."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/j.matdes.2003.12.011","article-title":"Investigation of the cutting parameters depending on process sound during turning of AISI 304 austenitic stainless steel","volume":"25","author":"Tekiner","year":"2004","journal-title":"Mater. Des."},{"key":"ref_102","unstructured":"Shunmugam, M.S., and Kanthababu, M. (2020). Simulation of Torsional-Axial Chatter Vibrations in Indexable Drilling for Noise Generated. Advances in Simulation, Product Design and Development, Product Design and Development, Proceedings of the 7th International and 28th All India Manufacturing Technology, Design and Research (AIMTDR) Conference, Chennai, India, 13\u201315 December 2018, Springer."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s00107-010-0517-8","article-title":"Performance of helical edge milling cutters in planing wood","volume":"69","author":"Darmawan","year":"2011","journal-title":"Eur. J. Wood Wood Prod."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1177\/1077546320975977","article-title":"Correlation analysis of noise sound pressure and vibration in aluminum alloy milling","volume":"28","author":"Hu","year":"2022","journal-title":"J. Vib. Control"},{"key":"ref_105","first-page":"235","article-title":"Effect of Machining Parameters on Surface Finish and Noise Patterns for Machining EN-19 Steel with PVD-TiN Coated Mixed Ceramic Inserts in CNC Turning Operation","volume":"79","author":"Arora","year":"2020","journal-title":"J. Sci. Ind. Res. India"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"106856","DOI":"10.1016\/j.measurement.2019.106856","article-title":"Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings","volume":"147","author":"Yan","year":"2019","journal-title":"Measurement"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Gorshkov, B.G., Yuksel, K., Fotiadi, A.A., Wuilpart, M., Korobko, D.A., Zhirnov, A.A., Stepanov, K.V., Turov, A.T., Konstantinov, Y.A., and Lobach, I.A. (2022). Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective. Sensors, 22.","DOI":"10.3390\/s22031033"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"107293","DOI":"10.1016\/j.ymssp.2020.107293","article-title":"Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings","volume":"150","author":"Ding","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Hassani, S., Mousavi, M., and Gandomi, A.H. (2022). Structural Health Monitoring in Composite Structures: A Comprehensive Review. Sensors, 22.","DOI":"10.3390\/s22010153"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0890-6955(01)00108-0","article-title":"A brief review: Acoustic emission method for tool wear monitoring during turning","volume":"42","author":"Li","year":"2002","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1016\/S0890-6955(99)00122-4","article-title":"Sensor signals for tool-wear monitoring in metal cutting operations\u2014A review of methods","volume":"40","author":"Dimla","year":"2000","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1115\/1.1511177","article-title":"Analysis of sound signal generation due to flank wear in turning","volume":"124","author":"Lu","year":"2002","journal-title":"J. Manuf. Sci. Eng. Trans. ASME"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1051\/forest:2004070","article-title":"Discrimination of coated carbide tools wear by the features extracted from parallel force and noise level","volume":"61","author":"Darmawan","year":"2004","journal-title":"Ann. For. Sci."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.1007\/s13369-013-0580-7","article-title":"Hilbert-Huang Transform-Based Emitted Sound Signal Analysis for Tool Flank Wear Monitoring","volume":"38","author":"Raja","year":"2013","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1016\/S0167-8655(00)00050-7","article-title":"Application of image and sound analysis techniques to monitor the condition of cutting tools","volume":"21","author":"Mannan","year":"2000","journal-title":"Pattern Recogn. Lett."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.cja.2018.11.007","article-title":"A review of chatter vibration research in milling","volume":"32","author":"Yue","year":"2019","journal-title":"Chin. J. Aeronaut."},{"key":"ref_117","first-page":"146","article-title":"Use of Audio Signals for Chatter Detection and Control","volume":"114","author":"Delio","year":"1992","journal-title":"J. Manuf. Sci. Eng."},{"key":"ref_118","first-page":"22","article-title":"Chatter Recognition System of NC Machining Based on Analysis on Audio Signal","volume":"2","author":"Li","year":"2009","journal-title":"Manuf. Technol. Mach. Tool"},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Chen, J., Yuan, D., Jiang, H., Zhang, L., Yang, Y., Fu, Y., Qian, N., and Jiang, F. (2022). Thermal Management of Bone Drilling Based on Rotating Heat Pipe. Energies, 15.","DOI":"10.3390\/en15010035"},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.ijmachtools.2008.11.008","article-title":"Sound mapping for identification of stability lobe diagrams in milling processes","volume":"49","author":"Quintana","year":"2009","journal-title":"Int. J. Mach. Tool. Manuf."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/0890-6955(92)90006-3","article-title":"In-process detection and suppression of chatter in milling","volume":"32","author":"Altintas","year":"1992","journal-title":"Int. J. Mach. Tool. Manuf."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/10\/3851\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:14:45Z","timestamp":1760138085000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/10\/3851"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,19]]},"references-count":121,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["s22103851"],"URL":"https:\/\/doi.org\/10.3390\/s22103851","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,19]]}}}