Cutting tools reliability and residual life prediction from degradation indicators in turning process

Letot, Christophe; Serra, Roger; Dossevi, Maela; Dehombreux, Pierre

doi:10.1007/s00170-015-8158-z

Cited by 34 publications

(28 citation statements)

References 25 publications

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“…In previous studies, several stochastic models of the degradation evolution using a gamma process were constructed [11,12,34]. The gamma process is widely considered in various research topics involving monotonous processes, such as reliability analyses and maintenance optimization of ageing systems [10].…”

Section: Piecewise Stochastic Flank Wear Modelmentioning

confidence: 99%

“…The end-of-life criterion in life testing cases is given by the ISO 3685 standard as given in Equation 1 Several works showed the interest of stochastic simulation of the evolution of degradation over time, using a stochastic model piloted by a gamma process modelling the monotonous characteristic of the process [9,10]. Letot et al also demonstrated its use in this framework recently [11,12]. Numerous other models have been used in the specific approach of tool flank wear.…”

Section: Introductionmentioning

confidence: 99%

“…For example, training artificial neural networks and variants in order to determine the tool wear from tool micrography [16,17], or to predict the tool wear from condition monitoring variables such as cutting forces [18]. F. W. Taylor presented a relationship between the lifetime of a cutting tool (T) and the cutting speed (v c ) [19], which has been extensively discussed and used in numerous studies [6,7,11,20,21]. The Cox Proportional Hazards (PH) Model has been introduced by Cox in order to study the survival rates in medical context [22], but has since been widely used in mechanical engineering and in particular in maintenance and machining fields [23,24].…”

Section: Introductionmentioning

confidence: 99%

“…A wide variety of wear indicators have also been associated with tool wear [27][28][29], therefore opening perspectives for online Tool Condition Monitoring [11,30]. Current approaches attempt to demonstrate the feasibility of prognosis regarding the Tool Lifetime based on few explanatory variables.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Analytic Approach to the Cox Proportional Hazards Model for Estimating the Lifespan of Cutting Tools

Equeter¹,

Ducobu²,

Rivière-Lorphèvre³

et al. 2020

JMMP

Self Cite

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The machining industry raises an ever-growing concern for the significant cost of cutting tools in the production process of mechanical parts, with a focus on the replacement policy of these inserts. While an early maintenance induces lower tool return on investment, scraps and inherent costs stem from late replacement. The framework of this paper is the attempt to predict the tool inserts Mean Up Time, based solely on the value of a cutting parameter (the cutting speed in this particular turning application). More specifically, the use of the Cox Proportional Hazards (PH) Model for this prediction is demonstrated. The main contribution of this paper is the analytic approach that was conducted about the relevance on data transformation prior to using the Cox PH Model. It is shown that the logarithm of the cutting speed is analytically much more relevant in the prediction of the Mean Up Time through the Cox PH model than the raw cutting speed value. The paper also covers a numerical validation designed to show and discuss the benefits of this data transformation and the overall interest of the Cox PH model for the lifetime prognosis. This methodology, however, necessitates the knowledge of an analytical law linking the covariate to the Mean Up Time. It also shows how the necessary data for the numerical experiment was obtained through a gamma process simulating the degradation of cutting inserts. The results of this paper are expected to help manufacturers in the assessment of tool lifespan.

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Section: Piecewise Stochastic Flank Wear Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Analytic Approach to the Cox Proportional Hazards Model for Estimating the Lifespan of Cutting Tools

Equeter¹,

Ducobu²,

Rivière-Lorphèvre³

et al. 2020

JMMP

Self Cite

View full text Add to dashboard Cite

show abstract

“…Statistical analysis [11,12] is a further tool that can be used to obtain a wear measurement based on image inputs. Therefore, a statistical model is used to estimate the wear of cutting tools according to their material properties.…”

Section: Cutting Tool Wear Measurementmentioning

confidence: 99%

An Industrial Vision System to Analyze the Wear of Cutting Tools

Gillmann

Post

Kirsch

et al. 2017

AMM

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The wear behavior of cutting tools directly affects the quality of the machined part. The measurement and evaluation of wear is a time consuming process and is subjective. Therefore, an image-based wear measurement that can be computed automatically based on given image series of cutting tools and an objective way to review the resulting wear is presented in this paper. The presented method follows the industrial vision system pipeline where images of cutting tools are used as input which are then transformed through suitable image processing methods to prepare them for the computation of a novel image based wear measurement. For multiple cutting tool settings a comparative visualization of the wear measurement outputs is presented. The effectiveness of the presented approach is shown by applying the method to measure the wear of four different cutting tool shapes.

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A review of prognostics and health management of machine tools

Baur

Albertelli

Monno

2020

Int J Adv Manuf Technol

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This paper presents a survey of the applications of Prognostics and Health Management maintenance strategy to machine tools. A complete perspective on this Industry 4.0 cutting-edge maintenance policy, through the analysis of all its preliminary phases, is given as an introduction. Then, attention is given to prognostics, whose different approaches are briefly classified and explained, pointing out their advantages and shortcomings. After that, all the works on prognostics of machine tools and their main subsystem are reviewed, highlighting current open research areas for improvement.

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Cutting tools reliability and residual life prediction from degradation indicators in turning process

Cited by 34 publications

References 25 publications

An Analytic Approach to the Cox Proportional Hazards Model for Estimating the Lifespan of Cutting Tools

An Analytic Approach to the Cox Proportional Hazards Model for Estimating the Lifespan of Cutting Tools

An Industrial Vision System to Analyze the Wear of Cutting Tools

A review of prognostics and health management of machine tools

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