scholarly journals Prediction of Cutting Material Durability by T = f(vc) Dependence for Turning Processes

Processes ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 789
Author(s):  
Jozef Zajac ◽  
Jan Duplak ◽  
Darina Duplakova ◽  
Peter Cizmar ◽  
Igor Olexa ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Speed ◽  
Least Squares Method ◽  
Functional Dependence ◽  
High Speed Steel ◽  
Numerical Control ◽  
Turning Process ◽  
Tin Coating ◽  
Cutting Ceramics ◽  
Material Durability

This article is focused on the prediction of cutting material durability by Taylor’s model. To create predictive models of the durability of cutting materials in the turning process, tools made of high-speed steel, sintered carbide without coating and with Titanium nitride (TiN) coating, cutting ceramics without coating and with TiN coating were applied. The experimental part was performed on reference material C45 using conventional lathe—type of machine SU50A and computer numerical control machine—CNC lathe Leadwell T-5 in accordance with International Organization for Standardization—ISO 3685. Implementation of the least-squares method and processing of regression analysis made predictions of cutting tool behaviour in the turning process. Using the method of regression analysis, a correlation index of 93.5% was obtained, indicating the functional dependence of the predicted relationship.

Influence of Tin Coating on Wear of High Speed Steel Tools as Studied by New Laboratory Wear Test

1989 ◽  
Vol 5 (2) ◽  
pp. 141-150 ◽  
Author(s):  
P. Hedenqvist ◽  
M. Olsson ◽  
S. Söderberg
Keyword(s):  
High Speed ◽  
High Speed Steel ◽  
Wear Test ◽  
Tin Coating

Microstructure and Corrosion Resistance of TiN Coating on HSS by Pulsed Bias Cathodic Arc Ion Plating

2011 ◽  
Vol 675-677 ◽  
pp. 1307-1310 ◽  
Author(s):  
Xiao Hong Yao ◽  
Bin Tang ◽  
Lin Hai Tian ◽  
Xiao Fang Li ◽  
Yong Ma
Keyword(s):  
Corrosion Resistance ◽  
High Speed ◽  
High Speed Steel ◽  
Corrosion Current ◽  
Scratch Test ◽  
Grain Structure ◽  
Tin Coating ◽  
Arc Ion Plating ◽  
Ion Plating ◽  
Cathodic Arc

TiN coating with thickness of 2.5μm was deposited on high-speed steel (HSS) substrate by pulsed bias cathodic arc ion plating. The surface and cross-section morphologies, composition depth profile and phase structure were characterized by FESEM, GDOES and XRD, respectively. Scratch test for adhesion evaluation, microhardness test for hardness measurement, and potentiodynamic polarization for corrosion resistance test were used. The results show that the TiN coating exhibits smooth surface, dense columnar grain structure and an obviously preferred orientation of TiN(111). The adhesion of the coating to substrate is exceeded more than 100N. The hardness of the coating is about 26 GPa. The low corrosion current density (Icorr) and rather high corrosion potential (Ecorr) value imply that the TiN coating displays a good corrosion resistance in 0.5mol/l NaCl solution. However, pitting is still existed due to the defects in the coating.

The Modelling of Crater Wear in Cutting with TiN Coated High Speed Steel Tool

2015 ◽  
Vol 812 ◽  
pp. 227-232
Author(s):  
Zoltán Pálmai
Keyword(s):  
High Temperature ◽  
High Speed ◽  
High Speed Steel ◽  
Protective Layer ◽  
Flow Zone ◽  
Tin Coating ◽  
Crater Wear ◽  
Thermally Activated ◽  
Autonomous Equation ◽  
Cutting Experiments

The flow zone of the chip in contact with the tool reaches a high temperature in cutting. According to chip hardening experiments α-γ transformation may occur in steel, so the tool is in contact with a high-temperature γ phase at high pressure. The microscopic examination of worn surfaces showed that the degradation of the tool is the result of adhesive/abrasive and thermally activated processes, therefore both friction length and temperature must be taken into consideration in the modelling of crater wear. Wear rate can be described by a non-linear autonomous equation. TiN coating, which increases tool life in high speed steel, changes and slows down the wear of the tool. The activation energy of wear can be calculated from the constants of the wear equation determined by cutting experiments. The deoxidation products to be found in the workpiece in cutting may form a protective layer on the TiN layer that blocks or slows down wear.

Analysis on Residual Stress in TiN Coating with Different Thicknesses

2012 ◽  
Vol 217-219 ◽  
pp. 1306-1311
Author(s):  
Chuan Liang Cao ◽  
Xiang Lin Zhang ◽  
Hai Yang Wang
Keyword(s):  
Residual Stress ◽  
High Speed ◽  
Crystal Surface ◽  
Phase Variation ◽  
High Speed Steel ◽  
X Ray Diffraction ◽  
Tin Coating ◽  
X Ray ◽  
Hardness Tester ◽  
Tin Coatings

TiN coating is often coated on fine blanking tools made of with the powder metallurgy high speed steel S790 by Multi-arc ion plating. The phase variation, residual stress and microhardness of TiN coatings were respectively analyzed by X-Ray Diffraction(XRD) and Vickers hardness tester in this research. The result shows that: there is obvious preferred orientation in the crystal surface (1 1 1) and (2 2 2) of TiN coating, the residual stress of TiN coating ranges from -2 347 MPa to -1 920 MPa, and that of the substrate from -154.9 MPa to -69.21 MPa, both of which decrease with the increasing of coating thickness. The TiN coating on the S790 substrate was annealed at temperature 500°C for one hour. It was revealed that the stress state of TiN coating was better and thus the properties of the TiN coating were improved.

scholarly journals Studies on Nanocrystalline TiN Coatings Prepared by Reactive Plasma Spraying

2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
Dong Yanchun ◽  
Yan Dianran ◽  
He Jining ◽  
Zhang Jianxin ◽  
Xiao Lisong ◽  
...  
Keyword(s):  
Grain Size ◽  
Wear Resistance ◽  
Cross Section ◽  
High Speed ◽  
High Speed Steel ◽  
Tin Coating ◽  
Tin Coatings ◽  
Reactive Plasma Spraying ◽  
Reactive Plasma ◽  
M2 High Speed Steel

Titanium nitride (TiN) coatings with nanostructure were prepared on the surface of 45 steel (Fe-0.45%C) via reactive plasma spraying (denoted as RPS) Ti powders using spraying gun with self-made reactive chamber. The microstructural characterization, phases constitute, grain size, microhardness, and wear resistance of TiN coatings were systematically investigated. The grain size was obtained through calculation using the Scherrer formula and observed by TEM. The results of X-ray diffraction and electron diffraction indicated that the TiN is main phase of the TiN coating. The forming mechanism of the nano-TiN was characterized by analyzing the SEM morphologies of surface of TiN coating and TiN drops sprayed on the surface of glass, and observing the temperature and velocity of plasma jet using Spray Watch. The tribological properties of the coating under nonlubricated condition were tested and compared with those of the AISI M2 high-speed steel andAl2O3coating. The results have shown that the RPS TiN coating presents better wear resistance than the M2 high-speed steel andAl2O3coating under nonlubricated condition. The microhardness of the cross-section and longitudinal section of the TiN coating was tested. The highest hardness of the cross-section of TiN coating is 1735.43HV100 g.

Influence of TiN coating on wear of high speed steel at elevated temperature

Wear ◽  
1989 ◽  
Vol 130 (1) ◽  
pp. 123-135 ◽  
Author(s):  
Per Wallén ◽  
Sture Hogmark
Keyword(s):  
Elevated Temperature ◽  
High Speed ◽  
High Speed Steel ◽  
Tin Coating

scholarly journals Tool Health Monitoring Using Airborne Acoustic Emission and Convolutional Neural Networks: A Deep Learning Approach

2021 ◽  
Vol 11 (6) ◽  
pp. 2734
Author(s):  
Muhammad Arslan ◽  
Khurram Kamal ◽  
Muhammad Fahad Sheikh ◽  
Mahmood Anwar Khan ◽  
Tahir Abdul Hussain Ratlamwala ◽  
...  
Keyword(s):  
Neural Networks ◽  
Acoustic Emission ◽  
Convolutional Neural Networks ◽  
Health Monitoring ◽  
High Speed ◽  
High Speed Steel ◽  
Machining Process ◽  
Turning Process ◽  
Cnc Machine ◽  
Time Frequency

Tool health monitoring (THM) is in great focus nowadays from the perspective of predictive maintenance. It prevents the increased downtime due to breakdown maintenance, resulting in reduced production cost. The paper provides a novel approach to monitoring the tool health of a computer numeric control (CNC) machine for a turning process using airborne acoustic emission (AE) and convolutional neural networks (CNN). Three different work-pieces of aluminum, mild steel, and Teflon are used in experimentation to classify the health of carbide and high-speed steel (HSS) tools into three categories of new, average (used), and worn-out tool. Acoustic signals from the machining process are used to produce time–frequency spectrograms and then fed to a tri-layered CNN architecture that has been carefully crafted for high accuracies and faster trainings. Different sizes and numbers of convolutional filters, in different combinations, are used for multiple trainings to compare the classification accuracy. A CNN architecture with four filters, each of size 5 × 5, gives best results for all cases with a classification average accuracy of 99.2%. The proposed approach provides promising results for tool health monitoring of a turning process using airborne acoustic emission.

PENGARUH VARIASI JENIS PENDINGIN DAN KEDALAMAN POTONG PADA PROSES BUBUT BAJA ST60 TERHADAP UMUR PAHAT

ROTOR ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 23
Author(s):  
Ahmad Khoirul Anwar ◽  
Digdo Listyadi ◽  
Dwi Djumhariyanto
Keyword(s):  
Tool Life ◽  
High Speed ◽  
Low Cost ◽  
High Speed Steel ◽  
Machining Process ◽  
Depth Of Cut ◽  
Turning Process ◽  
Cooking Oil ◽  
Production Processes ◽  
Diameter Reduction

Turning machining process is a warkpiece diameter reduction by using chisel cut to produce the shape of the workpiece on a turning, there are various types of machining turning chisel pieces on the turning chisel types include carbide, CBN, and insert. There are also other types on conventional chisel on a turning process, one of which is a turning type of high speed steel (HSS), the turning is widely used in coventional production processes for other than low cost is also easy to grinding. Parameter in this research is coolant and depth of cut. The coolant used is dromus, ex-oil, ex cooking oil. The depth of cut used is 0,3mm, 0,5mm amd 0,8mm. The highest of tool life in this reserch with dromus as coolant at 0,3mm depth of cut is 83,17 minutes. With ex-oil at 0,3 depth of cut the tool life is 70,79 minutes. And with ex-cooking oil the tool life is 56,77 minutes with 0,3mm depth of cut. While the lowest tool life be obtained with ex-cooking oil coolant at 0,8mm depth of cut is 38,90 minutes. So, the canclusion dromus is a batter then ex-oil and ex-cooking oil. This is caused when the dromus as coolant can mixed with water and become one so can get down temperture of chisel.

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