Using spindle noise to monitor tool wear in a turning process

Seemuang, Nopparat; McLeay, Thomas E.; Slatter, Tom

doi:10.1007/s00170-015-8303-8

Cited by 56 publications

(38 citation statements)

References 17 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wear behavior V B in both test conditions obeys to linear models, with determination coefficients above 0.93. Seemuang et al [21] and Wang et al [13], working on conventional turning processes, reported flank wear behavior similar in shape to a) b)…”

Section: V B Measurements A) Hm Tool B) Hss Toolmentioning

confidence: 80%

“…This indirect wear measurement technique is described by Seemuang et al [21] and Jemielniak et al [22], who show evident changes in surface roughness and mechanical vibrations when the tool wears, mainly since vibrations are a manifestation of variation in cutting forces, and the dimensional and geometric stability of the manufactured pieces are affected by those forces.…”

Section: V B Measurements A) Hm Tool B) Hss Toolmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Electropulses on the Machinability of a C45e Steel

Montaña

Echeverri

Rojas

2019

DYNAII

View full text Add to dashboard Cite

This article compares the machinability of a C45E (AISI/SAE 1045) steel type under two different manufacturing processes: conventional machining and pulsed current assisted machining. The testing procedure consisted on the dry turning, using a coated carbide cutting tool (HM) and highspeed steel (HSS) cutting tools, under two different spindle speeds. In this study cutting tool life is evaluated in function of cutting speed for both machining conditions and both cutting tools. Results show variation on flank wear depending on the tool used and cutting speed, showing an increase in machinability when using the HM tool with the electropulse assisted turning at low cutting speed. Additionally, changes in chip type are found when assisting the process with electropulses. Statistically significant variations in chip dimensions and chip ratio are present, evidencing the differences in the phenomena affecting shear strain. Surface roughness, for its part, is improved when turning with the assistance of electropulses.

show abstract

Section: V B Measurements A) Hm Tool B) Hss Toolmentioning

confidence: 80%

Section: V B Measurements A) Hm Tool B) Hss Toolmentioning

confidence: 99%

Effect of Electropulses on the Machinability of a C45e Steel

Montaña

Echeverri

Rojas

2019

DYNAII

View full text Add to dashboard Cite

show abstract

“…The use of stand-off microphones has been demonstrated for TCM in conjunction with other signals [15,16] and alone. [17,18] The omnidirectional nature of microphones gives the capacity to collect a large quantity of data: if different elements of the process produce different frequencies, sound data can capture an overview of the entire process. This can lead to background noise issues because of their unselective nature, meaning post-processing is important.…”

Section: Process Monitoringmentioning

confidence: 99%

A novel methodology for in-process monitoring of flow forming

Appleby

Conway

Ion

2017

AIP Conference Proceedings

View full text Add to dashboard Cite

Flow forming (FF) is an incremental cold working process with near-net-shape forming capability. Failures by fracture due to high deformation can be unexpected and sometimes catastrophic, causing tool damage. If process failures can be identified in real time, an automatic cutout could prevent costly tool damage. Sound and vibration monitoring is well established and commercially viable in the machining sector to detect current and incipient process failures, but not for FF. A broad-frequency microphone was used to record the sound signature of the manufacturing cycle for a series of FF parts. Parts were flow formed using single and multiple passes, and flaws were introduced into some of the parts to simulate the presence of spontaneously initiated cracks. The results show that this methodology is capable of identifying both introduced defects and spontaneous failures during flow forming. Further investigation is needed to categorise and identify different modes of failure and identify further potential applications in rotary forming.

show abstract

“…Thanks to SPM, it is possible to detect production system failures such as collision, overload, breakdown, and tool wear [3]; and thus, it is contributing to saving costs in manufacturing [4]. In this sense, SPM can increase the competitiveness of a machining process by increasing the utilized tool life and decreasing instances of part damage from excessive tool wear or tool breakage [5]. For all these reasons, industries are interested in measuring their product characteristics [6].…”

Section: Introductionmentioning

confidence: 99%

Monitoring high complex production processes using process capability indices

de-Felipe

Benedito

2017

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The increasing demand and the globalization of the market are leading to increasing levels of quality in production processes, and thus, nowadays multiple product characteristics must be tested because they are considered critical. In this context, decision makers are forced to interpret a huge amount of quality indicators, when monitoring production processes. This fact leads to a misunderstanding as a result of information overload. The aim of this paper is to help practitioners when monitoring the capability of processes with a huge amount of product characteristics. We propose a methodology that reduces the amount of data in capability analysis by structuring hierarchically the multiple quality indicators obtained in the quality tests. The proposed methodology may help practitioners and decision makers of the industry in three aspects of statistical process monitoring: To identify the part of a complex production process that presents capability problems; to detect worsening over the time in multivariate production processes; and to compare similar production processes. Some illustrative examples based on dierent kinds of production processes are discussed in order to illustrate the methodology. A case of study based on a real production process of the automotive industry is analyzed using the proposed methodology. We conclude that the proposed methodology reduces the necessary amount of data in capability analysis; and thus, that it provides an added value of great interest for managers and decision makers.

show abstract

Using spindle noise to monitor tool wear in a turning process

Cited by 56 publications

References 17 publications

Effect of Electropulses on the Machinability of a C45e Steel

Effect of Electropulses on the Machinability of a C45e Steel

A novel methodology for in-process monitoring of flow forming

Monitoring high complex production processes using process capability indices

Contact Info

Product

Resources

About