Influence of Workpiece Material on Tool Wear Performance and Tribofilm Formation in Machining Hardened Steel

Yuan, Junfeng; Boyd, Jeremy M.; Covelli, Danielle; Arif, Taib; Fox-Rabinovich, German; Veldhuis, Stephen C.

doi:10.3390/lubricants4020010

Cited by 10 publications

(6 citation statements)

References 30 publications

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“…The whiskers provide higher strength characteristics during sintering. Samples of the same shape and dimensions made from the most common ceramics, Al 2 O 3 + TiC, were used to complementarily refine and confirm the obtained results [33][34][35]. CC650 and CC670 ceramic inserts produced by Sandvik Coromant (Stockholm, Sweden) were used during the experiments.…”

Section: Cutting Tools and Materials Being Processedmentioning

confidence: 96%

The Role of Thin-Film Vacuum-Plasma Coatings and Their Influence on the Efficiency of Ceramic Cutting Inserts

et al. 2018

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The main problem with ceramics used in cutting tools is related to the unpredictable failures caused by the brittle fracturing of ceramic inserts, which is critical for the intermittent milling of cyclic loading. A 125-mm-diameter eight-toothed end mill, with a mechanical fastening of ceramic inserts, was used as a cutting tool for milling hardened steel (102Cr6). For the experiments, square inserts of the Al2O3 + SiC ceramic were used and compared with the samples made of Al2O3 + TiC to confirm the obtained results. The samples were coated with diamond-like coating (DLC), TiZrN, and TiCrAlN coatings, and their bending strength and adhesion were investigated. Investigations into the friction coefficient of the samples and operational tests were also carried out. The effect of smoothing the microroughness and surface defects in comparison with uncoated inserts, which are characteristic of the abrasive processing of ceramics, was investigated and analyzed. The process developed by the authors of the coating process allows for the cleaning and activation of the surface of ceramic inserts using high-energy gas atoms. The impact of these particles on the cutting edge of the insert ensures its sharpening and reduces the radius of curvature of its cutting edges.

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Section: Cutting Tools and Materials Being Processedmentioning

confidence: 96%

The Role of Thin-Film Vacuum-Plasma Coatings and Their Influence on the Efficiency of Ceramic Cutting Inserts

et al. 2018

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“…A number of different methods have been proposed to measure the condition of a machine tool. Several authors investigating tool condition have used quantitative measurements, such as the wear depth, as tool condition measures [32]. However, these measures often fail to fully describe the tool condition, especially when there is irregular wear or chipping in the tool flank [25].…”

Section: Experimental Design and Monitoring Hardwarementioning

confidence: 99%

A Data Processing Pipeline for Prediction of Milling Machine Tool Condition from Raw Sensor Data

Ferguson

Bhinge²,

Park

et al. 2018

Smart Sustain. Manuf. Syst.

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With recent advances in sensor and computing technology, it is now possible to use real-time machine learning techniques to monitor the state of manufacturing machines. However, making accurate predictions from raw sensor data is still a difficult challenge. In this work, a data processing pipeline is developed to predict the condition of a milling machine tool using raw sensor data. Acceleration and audio time series sensor data is aggregated into blocks that correspond to the individual cutting operations of the Computer Numerical Control (CNC) milling machine. Each block of data is preprocessed using well-known and computationally efficient signal processing techniques. A novel kernel function is proposed to approximate the covariance between preprocessed blocks of time series data. Several Gaussian process regression models are trained to predict tool condition, each with a different covariance kernel function. The model with the novel covariance function outperforms the models that use more common covariance functions. The trained models are expressed using the Predictive Model Markup Language (PMML), where possible, to demonstrate how the predictive model component of the pipeline can be represented in a standardized form. The tool condition model is shown to be accurate, especially when predicting the condition of lightly worn tools.

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“…The development of these fundamental problems is far from final solutions, but the significant achievements of the last twenty years have led to the establishment of two important concepts [14,15]: 1) stabilized FEM schemes, in which ensuring stability does not underestimate the orders of accuracy of approximations [16]; 2) adaptive FEM schemes, which have established a close relationship between the posterior errors of the obtained approximate solutions and strategies for adapting numerical schemes [17,18]. On the other hand, the application of Integral Equations involves proving equivalence theorems, as well as constructing and justifying approximate schemes for solving Integral Equations of different classes in the substantially spatial case, complicated by the different nature of nonlinearities, in the presence of open integration surfaces [19,20].…”

Section: Introductionmentioning

confidence: 99%

Computer Modeling of Inhomogeneous Media Using the Abaqus Software Package

Pasternak,

Ruban,

Zolotova

et al. 2023

DDF

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The article describes in detail the process of modelling an inhomogeneous environment. It should be noted that the modelling of a rectangular plate is justified by the Kirchhoff – Love methods. A special feature of this simulation with the intervention of the Abaqus software package was the setting of different steps at different points in time. We also constructed H-adaptive schemes of finite element methods and their triangulation with different steps and with pre-guaranteed accuracy. When adapting the grid at the places of the greatest errors, a local thickening of the Triangle grid was observed, which ultimately determines that the structure of the desired solutions contains features in the edges of the vertices of the fixed edge. We also found that the proximity to linear growth of the number of nodes and finite elements in the initial stages of adaptation slows down their growth in the final stages. It should also be noted that the proposed H-adaptive schemes of ITU using the Abaqus software package with pre-guaranteed accuracy of calculating approximations showed satisfactory results, since they obtained a final deviation error of 2%. Also, a detailed description of the step-by-step adaptation results allowed us to generate the reliability of the proposed schemes with different steps.

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Influence of Workpiece Material on Tool Wear Performance and Tribofilm Formation in Machining Hardened Steel

Cited by 10 publications

References 30 publications

The Role of Thin-Film Vacuum-Plasma Coatings and Their Influence on the Efficiency of Ceramic Cutting Inserts

The Role of Thin-Film Vacuum-Plasma Coatings and Their Influence on the Efficiency of Ceramic Cutting Inserts

A Data Processing Pipeline for Prediction of Milling Machine Tool Condition from Raw Sensor Data

Computer Modeling of Inhomogeneous Media Using the Abaqus Software Package

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