Product life cycle: machining processes monitoring and vibroacoustic signals filterings

OBRABOTKAMETALLOV Vol. 26 No. 3 2024 108 TECHNOLOGY Product life cycle: machining processes monitoring and vibroacoustic signals fi ltering Mikhail Gimadeev a, *, Vadim Stelmakov b, Evgenii Shelenok c Pacifi c National University, 136 Tihookeanskaya st., Khabarovsk, 680035, Russian Federation a https://orcid.org/0000-0001-6685-519X, 009063@pnu.edu.ru; b https://orcid.org/0000-0003-2763-1956, 009062@pnu.edu.ru; c https://orcid.org/0000-0003-4495-9558, 007141@pnu.edu.ru Obrabotka metallov - Metal Working and Material Science Journal homepage: http://journals.nstu.ru/obrabotka_metallov Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science. 2024 vol. 26 no. 3 pp. 94–113 ISSN: 1994-6309 (print) / 2541-819X (online) DOI: 10.17212/1994-6309-2024-26.3-94-113 ART I CLE I NFO Article history: Received: 29 May 2024 Revised: 23 June 2024 Accepted: 12 July 2024 Available online: 15 September 2024 Keywords: Life cycle Equipment measurement sensors Acoustic diagnostics Vibration Tool status monitoring Online monitoring Machining process Funding This work has funded by the Ministry of science and higher education of Russian Federation (project № FEME– 2024–0010). ABSTRACT Introduction. In modern manufacturing, the product life cycle comprises various stages, from conception to disposal. Among these stages, machining plays a signifi cant role, as it directly infl uences the durability and functionality of the fi nished product. With increasing competition and the need to reduce production costs, optimizing machining processes has become a crucial task. Traditionally, conservative technological approaches have been used to ensure processing quality. However, this often leads to decreased productivity and higher costs. Modern monitoring and diagnostic techniques can signifi cantly improve process control, particularly through tool condition monitoring. The subject. This paper discusses the stages of the product life cycle and emphasizes the importance of monitoring machining processes. It explores the potential of using vibroacoustic signals to continuously monitor equipment and product conditions. Special attention is paid to the use of vibroacoustic signals for diagnostics and quality control. Modern approaches to fi ltering these signals, including the use of the fast Fourier transform and various window functions, are analyzed in order to improve the accuracy of the analysis and identify potential defects. The purpose of this work is to develop an algorithm for an online monitoring system that will monitor the condition of cutting tools based on the creation of a digital shadow using a vibroacoustic complex. The main tasks to be solved are to establish the ranges of applicability of frequency response of acoustic signals and optimal window functions, as well as to establish the relationship between the degree of wear on the cutting tool and the results of vibration diagnostics and surface roughness. The methods and technologies for fi ltering vibroacoustic signals and their application in real–world production settings are discussed. Special attention is given to the role of digital twins in integrating monitoring and fi ltering data, allowing for the creation of a virtual model of a product to predict its behavior and optimize processes throughout the life cycle. A comparison of various monitoring methods and technologies is conducted, as well as an analysis of practical examples of digital twin implementation in production processes and its impact on improved control. Results and discussion are presented, identifying current research and practical advancements, while also proposing existing challenges and promising areas for future research in the fi elds of monitoring, signal fi ltering, and the use of digital twins in mechanical manufacturing. For citation: Gimadeev M.R., Stelmakov V.A., Shelenok E.A. Product life cycle: machining processes monitoring and vibroacoustic signals fi lterings. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2024, vol. 26, no. 3, pp. 94–113. DOI: 10.17212/1994-6309-2024-26.3-94-113. (In Russian). ______ * Corresponding author Stelmakov Vadim A., Ph.D. (Engineering), Associate Professor Pacifi c National University, 136 Tihookeanskaya st., 680035, Khabarovsk, Russian Federation Tel.: +7 962 221-74-60, e-mail: 009062@pnu.edu.ru References 1. GOST R 56136–2014. Upravlenie zhiznennym tsiklom produktsii. Terminy i opredeleniya [State Standard R 56136–2014. Life cycle management for military products. Terms and defi nitions]. Moscow, Standartinform Publ., 2016. 24 p. 2. Grieves M. Digital twin: manufacturing excellence through virtual factory replication: whitepaper. Melbourne, FL, LLC, 2014, pp. 1–7. 3. GOST R 57700.37–2021. Komp’yuternye modeli i modelirovanie. Tsifrovye dvoiniki izdelii. Obshchie polozheniya [State Standard R 57700.37–2021. Computer models and simulation. Digital twins of products. General provisions]. Moscow, Russian Institute of Standardization Publ., 2021. 15 p.

RkJQdWJsaXNoZXIy MTk0ODM1