Diagnostics and Maintenance of Machine Tool Spindles - New Views

Holub, Ondřej; Hammer, Milos

doi:10.17973/mmsj.2017_12_201793

Cited by 6 publications

(6 citation statements)

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“…Thyago Bachim, Mauro Luiz Martens, Salvatore Digiesi, Douglas Favero Trindade, Bruno Ricci It is noticed that the Higher frequency measurement history increases data reliability through the online monitoring system given by an IoT device that allows for the collection of different information, depending on the characteristic of the sensor, as mentioned by Nagy, Olah, Erdei, Mate and Popp (2018). Thus, it is possible to acquire a quantity of data collections infinitely higher than offline monitoring when compared by Holub and Hammer (2017), who compare the types of measurement to understand the possible differences between the measurement methods. For example, the system could record a collection every two seconds.…”

Section: Evaluation and Discussion Of The Benefits Of Online Spindle Monitoring Modelmentioning

confidence: 99%

“…Is it possible to relate the change in the normal behavior of the spindle with possible visible faults during the cartridge maintenance process? Rastegari, Archenti and Mobinet (2017) and Holub and Hammer (2017) warn against carrying out several tests in the most varied machining processes.…”

Section: Evaluation and Discussion Of The Benefits Of Online Spindle Monitoring Modelmentioning

confidence: 99%

“…These authors believe that it is important to differentiate between the types of collections performed for later determination of failures. Although Holub and Hammer (2017) propose an online monitoring system in which the collection of vibration data must occur in an empty operation to record more reliable data, the difficulty of this analysis is also demonstrated by Rastegari, Archenti and Mobinet (2017) proving further studies are indispensable due to the high variation in speed during the machining process.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Online monitoring of spindles presents several difficulties, namely the variation of spindle rotation and tool models. Due to these difficulties, Holub and Hammer (2017) present a model that directs the monitoring to be carried out in a vacuum, that is, without a tool. Rastegari, Archenti and Mobinet (2017) suggest more studies to understand the behavior of the spindle when monitored at different rotations, which in fact suggests a gap in studies.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improving predictive maintenance benefits from online monitoring of spindles: case study in woodworking machine tool

Bachim

Martens²,

Digiesi

et al. 2020

G&T

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Objective: This article aims to present a case study of the application of an online monitoring system for spindles in a furniture industry, analyzing the benefits to predictive maintenance and business.Methodology/approach: A literature review was carried out followed by a case study Originality/Relevance: Focusing the development of maintenance techniques, especially predictive maintenance and those supported by enabling technologies from Industry 4.0, such as Internet of Things (IoT), it may be possible to carry out online monitoring of spindles with a focus on reducing catastrophic or unplanned events. Main results:The main results are to know the normal behavior of the machine, the possibility of obtaining information in real time, managerial data for sight management, and the possibility of identifying spindle failure before it becomes a catastrophic failure, thus reducing the costs of maintaining the spindles.Theoretical contributions: As a contribution, we discuss the development of the system to digitize the data through the operation available in an outsourced cloud environment. This data can then be returned to the company in the form of dashboards for cash management, developing agility in decision making to facilitate the predictive maintenance in addition to validating the online monitoring system for spindle management in furniture industry processes.

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Section: Evaluation and Discussion Of The Benefits Of Online Spindle Monitoring Modelmentioning

confidence: 99%

Section: Evaluation and Discussion Of The Benefits Of Online Spindle Monitoring Modelmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving predictive maintenance benefits from online monitoring of spindles: case study in woodworking machine tool

Bachim

Martens²,

Digiesi

et al. 2020

G&T

View full text Add to dashboard Cite

show abstract

“…Finally, vibro‐diagnostics consists of vibrations carrying the information concerning the cause of vibrations; its analysis can establish in advance the emerging or developing defect or damage (e.g. [34]).…”

Section: Bibliometric Analysismentioning

confidence: 99%

Industry 4.0 in the logistics field: A bibliometric analysis

Bigliardi

Casella

Bottani

2021

IET Collab Intel Manufact

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Logistics plays an essential role in supply chain management to plan and coordinate the movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 focusses on the specific applications of Industry 4.0 in the area of logistics and was created as an integral part of the Industry 4.0 concept. This study aims to contribute to the state-of-the-art about this topic by analysing and reviewing the scientific literature relating to Industry 4.0 applied to the logistics field. By means of a query on the Scopus database (www.scopus.com), 131 articles were retrieved and judged in line with the research topic. A bibliometric analysis identified the most relevant articles, authors, keywords, countries and journals on this subject. To the best of the authors' knowledge, this is the first systematic review of Logistics 4.0 using bibliometric analysis. Finally, the research gaps identified will provide a reference point that will encourage and guide interested researchers for future study. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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An IoT system for managing machine tool spindles in operation

Bachim

Martens

Gonçalves

et al. 2023

Int J Adv Manuf Technol

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With the development of production processes over the last decades, machine tools have evolved, and in everyday life today it is impossible not to visualize the new facilities arising from technological developments, such as IoT (Internet of Things) systems. Because they are so relevant, they have become a competitive differential in all markets and will not be different in the transformation industry or in its operational areas. Estimating when any machine will fail beforehand is fundamental to maximizing the company's results and consequently minimizing operating costs. In this sense, this research aimed to develop an IoT system for the online management of machine tool spindles in operation and to provide reliable data for maintenance management in the context of Industry 4.0 (I4.0). The development of the system took place through the Design Science Research (DSR) methodology. Thus, with the systematic review of the literature, the artifact/theoretical system of the method type for online monitoring of spindles in operation was developed, and its implementation was demonstrated and validated via a case study with participant observation in an automotive industry. The main contributions of the research are the artifact/system developed and validated and the associated predictive maintenance method. With the artifact, the normal behavior of the spindles in operation is demonstrated, contributing both to the academy eld and to the practice in the industry, in the sense of advancing knowledge and preventing catastrophic failures in machine tools.

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Diagnostics and Maintenance of Machine Tool Spindles - New Views

Cited by 6 publications

References 0 publications

Improving predictive maintenance benefits from online monitoring of spindles: case study in woodworking machine tool

Improving predictive maintenance benefits from online monitoring of spindles: case study in woodworking machine tool

Industry 4.0 in the logistics field: A bibliometric analysis

An IoT system for managing machine tool spindles in operation

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