An automatic system based on vibratory analysis for cutting tool wear monitoring

Rmili, Wafaa; Ouahabi, Abdeldjalil; Serra, Roger; Leroy, René

doi:10.1016/j.measurement.2015.09.010

Cited by 94 publications

(24 citation statements)

References 18 publications

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“…Systems working on-line during the operation of a production line without outputting a visual feedback of wear are widely used [15,10]. The goal of these systems is to estimate the cutting tool…”

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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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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“…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%

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

Equeter¹,

Ducobu²,

Rivière-Lorphèvre³

et al. 2020

JMMP

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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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“…Pislaru et al (8) used wavelet transformation to identify the resonance frequencies in machine tools and the machine status. Rmili et al (9) used an acceleration gauge to obtain wear vibration characteristics. This was done to determine whether average power signal processing analysis can be used to develop an automatic detection system for the analysis of tool wear.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Lathe Cutting Parameters Using Taguchi Method and Grey Relational Analysis

Jian¹,

Wang²,

Yau³

et al. 2020

Sensors and Materials

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In the current precision industry, the rapid production of high-quality parts in bulk quantities has led to high competitiveness. In this study, the Taguchi method and grey relational analysis (GRA) approach were used in a practical investigation of precision lathe processing. The purpose was to find optimal parameters for single-target and multitarget cutting. The production of targets of the highest quality was the research focus, with the aim of strengthening the links between this study and the application to the processing industry. Precision, surface roughness, and material removal rate were selected as targets for improvement. The parameters commonly used for lathe processing were set as control factors, and cutting depth, spindle speed, feed rate, and material elongation were set as experimental factors. The results showed that in the cutting of materials, cutting precision was mainly affected by the depth of cut and spindle speed, surface roughness by spindle speed, and the material removal rate by the cutting depth. In a comparison of the quality loss for the same materials using previous parameters, the cutting precision has about 64 to 99% optimization, the surface roughness has 69 to 96% optimization, and the material removal rate has more than 90% optimization. GRA was also employed to analyze the sequences of parameters from the Taguchi experiments to obtain the target relationships and to find the various combinations of factors for improvement.

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An automatic system based on vibratory analysis for cutting tool wear monitoring

Cited by 94 publications

References 18 publications

An Industrial Vision System to Analyze the Wear of Cutting Tools

An Industrial Vision System to Analyze the Wear of Cutting Tools

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

Optimization of Lathe Cutting Parameters Using Taguchi Method and Grey Relational Analysis

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