A review on cutting of industrial ceramic materials

Rakshit, Rahul; Das, Alok Kumar

doi:10.1016/j.precisioneng.2019.05.009

Cited by 90 publications

(45 citation statements)

References 104 publications

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“…Due to their properties, they are used, among others, in medicine (friction pair components of implants) [ 23 , 29 , 30 , 31 ]. Ceramic is a difficult to machine material but ceramic parts can be manufactured in conventional and unconventional machining processes [ 32 , 33 , 34 , 35 ]. The most frequently used method of machining, ensuring high efficiency and the accuracy of the manufacture of a ceramic object, is abrasive machining [ 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Stereometric and Tribometric Studies of Polymeric Pin and Ceramic Plate Friction Pair Components

Niemczewska-Wójcik

Wójcik²

2021

Materials

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Tw o complementary approaches should be used for the full characterisation of friction pair components. The first approach consists of stereometric studies of machined as well as worn surface topography of the friction components with multiple measurement methods used. The second approach, tribometric studies, enables the tribological characteristics of the friction pair. This work presents the complete characterisation of polymeric pin and ceramic plate friction pair components based on studies with the use of three research instruments: an interference microscope, a scanning electron microscope and a tribological tester. The results of the studies showed that the same treatment conditions used for different but similar ceramic materials did not provide exactly the same characteristics of both the machined and worn surface topography. Moreover, the results showed that the material properties and machined surface topography of the ceramic component significantly affected the friction coefficient and linear wear as well as the wear intensity of the polymeric component. Connecting the two approaches, stereometric studies and tribometric studies, allowed for a better identification of the wear mechanism of the polymeric pin (i.e., abrasion, fatigue and adhesion wear) and the kind of wear products (polymeric material).

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Section: Introductionmentioning

confidence: 99%

Stereometric and Tribometric Studies of Polymeric Pin and Ceramic Plate Friction Pair Components

Niemczewska-Wójcik

Wójcik²

2021

Materials

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“…Alumina based ceramic cutting tools have unique chemical and mechanical properties and these tools can offer increased metal removal rates, extended tool life and the ability to machine hard workpiece materials like hardened steel and stainless steel. The ceramic cutting tools can reduce the cost of machining and increase the productivity because of their high material removal rates [1]. Alumina based ceramic cutting tools are capable of machining various types of hard materials due to the improved cutting tool properties such as fracture toughness, thermal shock resistance, hardness and wear resistance.…”

Section: Introductionmentioning

confidence: 99%

Tool Life Prediction of Ti [C,N] Mixed Alumina Ceramic Cutting Tool Using Gradient Descent Algorithm on Machining Martensitic Stainless Steel

Sk¹,

Jd²

2020

Preprint

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In automated manufacturing systems, most of the manufacturing processes including machining are automated. Automatic tool change is one of the important parameters for reducing manufacturing lead time. Ceramic cutting tools are used to machine hard materials. Ti[C,N] mixed alumina ceramic cutting tools are widely used to machine hardened steel and Stainless Steel due to its superior mechanical properties. Martensitic stainless steel has wide applications in screws, bolts, nuts and other engineering applications. Machining studies on Martensitic Stainless Steel was conducted using Ti[C,N] mixed alumina ceramic cutting tool. Tool life was evaluated using flank wear criterion. The tool life obtained from experimental machining process was taken as training dataset and test dataset for machine learning. Using the dataset obtained from experimental machining tool life model has been developed using Gradient Descent algorithm. The model was validated using co-efficient of determination. The accuracy of the machine learning model was tested using the test data and 99.83% accuracy was obtained. Tool life model based on Gradient Descent Algorithm was successfully implemented for the tool life of Ti[C,N] mixed alumina ceramic cutting tool.Keywords: keyword 1; keyword 2; keyword 3 (List three to ten pertinent keywords specific to the article; yet reasonably common within the subject discipline.)

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“…Advanced ceramics have become a significant industrial material and have been widely used in many applications due to their excellent properties, such as high thermal, electrical and corrosive resistance, higher chemical stability, temperature strength, superior wear resistance, and high hardness [1].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of the Ceramic Kerf During the Laser Cutting Process through Piezoelectric Transducer

Andrade

Aguiar

Viera

et al. 2019

The 6th International Electronic Conference on Sensors and Applications

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Advanced ceramics are widely used in industry due to their unique properties. However, the machining of ceramic components by conventional methods is difficult due to their high level of hardness and brittleness. In this sense, laser beam machining (LBM) is presented as an alternative to conventional methods, enabling the machining of workpieces through more accurate and less invasive techniques. Despite the advantages of laser machining, the process still needs to be studied in detail, as advanced ceramic machining is considered a stochastic process. Thus, real-time monitoring systems are required in order to optimize the ceramic laser machining. Therefore, this paper proposes a novel method for monitoring the cutting kerf in the laser cutting process of ceramic components using a low-cost piezoelectric transducer (PZT) and digital signal processing. Tests were performed on the surface of an alumina ceramic workpiece under different machining conditions. The cutting kerf was measured by a digital microscope and the raw signals from the PZT transducer were collected at a sampling rate of 2 MHz. Time domain and frequency domain analyses were performed in order to find a frequency band that best correlates with the process conditions. Finally, a linear regression was calculated in order to correlate the PZT signal and the measured kerf. The results showed that the piezoelectric transducer was sensitive to the acoustic activity generated during the process, allowing the real-time monitoring of the cutting kerf. Thus, the approach proposed in this paper can be used efficiently in the monitoring of the laser cutting process.

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A review on cutting of industrial ceramic materials

Cited by 90 publications

References 104 publications

Stereometric and Tribometric Studies of Polymeric Pin and Ceramic Plate Friction Pair Components

Stereometric and Tribometric Studies of Polymeric Pin and Ceramic Plate Friction Pair Components

Tool Life Prediction of Ti [C,N] Mixed Alumina Ceramic Cutting Tool Using Gradient Descent Algorithm on Machining Martensitic Stainless Steel

Monitoring of the Ceramic Kerf During the Laser Cutting Process through Piezoelectric Transducer

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