Predictive Modeling of TiN Coating Roughness

2012 ◽  
Vol 626 ◽  
pp. 219-223 ◽  
Author(s):  
Abdul Syukor Mohamad Jaya ◽  
Siti Zaiton Mohd Hashim ◽  
Habibollah Haron ◽  
Muhd Razali Muhamad ◽  
Md Nizam Abd Rahman ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Physical Vapor Deposition ◽  
Prediction Interval ◽  
Argon Pressure ◽  
Quadratic Term ◽  
Process Variables ◽  
Tin Coating ◽  
Coating Surface ◽  
Tin Coatings ◽  
Coating Roughness

In this paper, an approach in modeling surface roughness of Titanium Nitrite (TiN) coating using Response Surface Method (RSM) is implemented. The TiN coatings were formed using Physical Vapor Deposition (PVD) sputtering process. N2pressure, Argon pressure and turntable speed were selected as process variables. Coating surface roughness as an important coating characteristic was characterized using Atomic Force Microscopy (AFM) equipment. Analysis of variance (ANOVA) is used to determine the significant factors influencing resultant TiN coating roughness. Based on that, a quadratic polynomial model equation represented the process variables and coating roughness was developed. The result indicated that the actual coating roughness of validation runs data fell within the 90% prediction interval (PI) and the residual errors were very low. The findings from this study suggested that Argon pressure, quadratic term of N2pressure, quadratic term of turntable speed, interaction between N2pressure and turntable speed, and interaction between Argon pressure and turntable speed influenced the TiN coating surface roughness.

Modeling of TiN Coating Thickness Using RSM Approach

2013 ◽  
Vol 594-595 ◽  
pp. 556-560 ◽  
Author(s):  
Abdul Syukor Mohamad Jaya ◽  
Siti Zaiton Mohd Hashim ◽  
Habibollah Haron ◽  
Muhd Razali Muhamad ◽  
A. Samad Hasan Basari ◽  
...  
Keyword(s):  
Coating Thickness ◽  
Physical Vapor Deposition ◽  
Prediction Interval ◽  
Cutting Tools ◽  
Argon Pressure ◽  
Process Variables ◽  
Tin Coating ◽  
Validation Data ◽  
Residual Errors ◽  
Significant Factors

In this paper, modeling of Titanium Nitrite (TiN) coating thickness using Response Surface Method (RSM) is implemented. Insert cutting tools were coated with TiN using Physical Vapor Deposition (PVD) sputtering process. N2 pressure, Argon pressure and turntable speed were selected as process variables while the coating thickness as output response. The coating thickness as an important coating characteristic was measured using surface profilometer equipment. Analysis of variance (ANOVA) was used to determine the significant factors influencing TiN coating thickness. Then, a polynomial linear model represented the process variables and coating thickness was developed. The result indicated that the actual validation data fell within the 90% prediction interval (PI) and the percentage of the residual errors were low. Findings from this study suggested that Argon pressure, N2 pressure and turntable speed influenced the TiN coating thickness.

Modeling of TiN Coating Grain Size Using RSM Approach

2015 ◽  
Vol 754-755 ◽  
pp. 738-742 ◽  
Author(s):  
Abdul Syukor Mohamad Jaya ◽  
Mu’ath Ibrahim Mohammad Jarrah ◽  
Muhd Razali Muhamad
Keyword(s):  
Grain Size ◽  
Prediction Interval ◽  
Film Coating ◽  
Argon Pressure ◽  
Quadratic Model ◽  
Quadratic Term ◽  
Tin Coating ◽  
Validation Data ◽  
Machine Maintenance ◽  
Material Usage

Modeling of thin film coating is an important work to identify the required characteristic. In general, suitable coating process parameters are very important to find the best characteristics of coating and towards less material usage, reduced trial in experiment and less machine maintenance. In this paper, Response Surface Methodology (RSM) was implemented in modeling TiN coating grain size. N2 pressure, Argon pressure, and turntable speed were selected as process variables, while the coating grain size as an output response. Significant factors that influence the coating characteristic are determined by using Analysis of Variance (ANOVA) and to develop a polynomial quadratic model. Findings from this study suggested that turntable speed and Argon pressure quadratic term has significant effect to the TiN coating grain size. The result also showed that the actual validation data fell within the 95% prediction interval (PI) and the residual errors percentage was lower than 10%.

Optimizing TiN Coating Surface Roughness with RSM

2006 ◽  
pp. 424-427
Author(s):  
S.L. Yim ◽  
Kai Ming Yu ◽  
Luen Chow Chan ◽  
D. Kwok ◽  
Tai Chiu Lee
Keyword(s):  
Surface Roughness ◽  
Tin Coating ◽  
Coating Surface

Evolution of TiN Coating Surface Roughness during Physical Vapor Deposition on High Speed Steel Substrate

2014 ◽  
Vol 604 ◽  
pp. 67-70
Author(s):  
Leonid Kupchenko ◽  
Rauno Tali ◽  
Eron Adoberg ◽  
Valdek Mikli ◽  
Vitali Podgursky
Keyword(s):  
Surface Roughness ◽  
Vapor Deposition ◽  
Physical Vapor Deposition ◽  
High Speed ◽  
Steel Substrate ◽  
High Speed Steel ◽  
Growth Exponent ◽  
Force Microscopy ◽  
Tin Coatings ◽  
Atomic Force

TiN coatings with different thickness were prepared by arc ion plating (AIP) physical vapor deposition (PVD) on high speed steel (HSS) substrates. TiN coatings surface roughness was investigated by atomic force microscopy (AFM) and 3D optical profilometry and growth kinetics was described using scaling exponents β and α. The growth exponent β is 0.91-1.0 and the roughness exponent α is 0.77-0.81. Due to relatively high value of the exponent α, the surface diffusion is likely predominant smoothening mechanism of TiN growth.

EFFECT OF METAL ION ETCHING ON THE TRIBOLOGICAL, MECHANICAL AND MICROSTRUCTURAL PROPERTIES OF TiN-COATED D2 TOOL STEEL USING CAE PVD TECHNIQUE

2006 ◽  
Vol 13 (04) ◽  
pp. 413-421 ◽  
Author(s):  
MUBARAK ALI ◽  
ESAH BINTI HAMZAH ◽  
MOHD RADZI HJ. MOHD TOFF
Keyword(s):  
Surface Roughness ◽  
Friction Coefficient ◽  
Tool Steel ◽  
Coefficient Of Friction ◽  
Metal Ion ◽  
Wear Track ◽  
Tin Coating ◽  
Ion Etching ◽  
Tin Coatings ◽  
Vapor Deposition Technique

A study has been made on TiN coatings deposited on D2 tool steel substrates by using commercially available cathodic arc evaporation, physical vapor deposition technique. The goal of this work is to determine the usefulness of TiN coatings in order to improve the micro-Vickers hardness, coefficient of friction and surface roughness of TiN coating deposited on tool steel, which is vastly use in tool industry for various applications. A pin-on-disc test was carried out to study the coefficient of friction versus sliding distance of TiN coating at various ion etching rates. The tribo-test showed that the minimum value recorded for friction coefficient was 0.386 and 0.472 with standard deviation of 0.056 and 0.036 for the coatings deposited at zero and 16 min ion etching. The differences in friction coefficient and surface roughness was mainly associated with the macrodroplets, which was produced during etching stage. The coating deposited for 16 min metal ion etching showed the maximum hardness, i.e., about five times higher than uncoated one and 1.24 times to the coating deposited at zero ion etching. After friction test, the wear track was observed by using field emission scanning electron microscope. The coating deposited for zero ion etching showed small amounts of macrodroplets as compared to the coating deposited for 16 min ion etching. The elemental composition on the wear scar were investigated by means of energy dispersive X-ray, indicate no further TiN coating on wear track. A considerable improvement in TiN coatings was recorded as a function of various ion etching rates.

scholarly journals Experimental study of tribological and mechanical properties of TiN coating on AISI 52100 bearing steel

2018 ◽  
Vol 10 (9) ◽  
pp. 168781401880288 ◽  
Author(s):  
Ghulam Moeen Uddin ◽  
Awais Ahmad Khan ◽  
Muhammad Ghufran ◽  
Zia-ur-Rehman Tahir ◽  
Muhammad Asim ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Surface Roughness ◽  
Tribological Properties ◽  
Coating Thickness ◽  
Physical Vapor Deposition ◽  
Substrate Surface ◽  
Bearing Steel ◽  
Tin Coating ◽  
Aisi 52100 ◽  
Substrate Surface Roughness

The surface coating is one of the novel approaches to enhance the performance and durability of the mechanical components by decreasing the wear and friction among two interacting bodies. In this study, tribological and mechanical properties of titanium nitride (TiN) coatings were investigated on the AISI 52100 bearing steel deposited by low-temperature physical vapor deposition system. Surface morphology and elemental composition of the TiN coating were analyzed by scanning electron microscope and energy-dispersive X-ray spectrum, respectively. Substrate surface roughness and coating thickness of TiN were varied for correlative analysis among adhesion, mechanical, and tribological properties. Scratch and tribo tests were performed for evaluating the adhesion and tribological properties, respectively. Samples having the substrate surface roughness (0.2 ± 0.05 µm) and the coating thickness of more than 2.83 µm presented relatively better adhesion, wear resistance, and lower coefficient of friction of the TiN coating.

Optimizing TiN Coating Surface Roughness with RSM

2006 ◽  
Vol 532-533 ◽  
pp. 424-427
Author(s):  
S.L. Yim ◽  
Kai Ming Yu ◽  
Luen Chow Chan ◽  
D. Kwok ◽  
Tai Chiu Lee
Keyword(s):  
Surface Roughness ◽  
Tin Coating ◽  
Coating Surface

EFFECT OF SUBSTRATE BIAS ON FRICTION COEFFICIENT, ADHESION STRENGTH AND HARDNESS OF TiN-COATED TOOL STEEL

2006 ◽  
Vol 13 (06) ◽  
pp. 763-771 ◽  
Author(s):  
ESAH HAMZAH ◽  
MUBARAK ALI ◽  
MOHD RADZI HJ. MOHD TOFF
Keyword(s):  
Friction Coefficient ◽  
Tool Steel ◽  
Vickers Hardness ◽  
Physical Vapor Deposition ◽  
Research Work ◽  
Substrate Bias ◽  
Tin Coating ◽  
Tin Coatings ◽  
Vapor Deposition Technique ◽  
Pin On Disc

In the present study, TiN coatings have been deposited on D2 tool steel substrates by using cathodic arc physical vapor deposition technique. The objective of this research work is to determine the usefulness of TiN coatings in order to improve the micro-Vickers hardness and friction coefficient of TiN coating deposited on D2 tool steel, which is widely used in tooling applications. A Pin-on-Disc test was carried out to study the coefficient of friction versus sliding distance of TiN coating deposited at various substrate biases. The standard deviation parameter during tribo-test result showed that the coating deposited at substrate bias of -75 V was the most stable coating. A significant increase in micro-Vickers hardness was recorded, when substrate bias was reduced from -150 V to zero. Scratch tester was used to compare the critical loads for coatings deposited at different bias voltages and the adhesion achievable was demonstrated with relevance to the various modes, scratch macroscopic analysis, critical load, acoustic emission and penetration depth. A considerable improvement in TiN coatings was observed as a function of various substrate bias voltages.

INFLUENCE OF NITROGEN FLOW RATE ON FRICTION COEFFICIENT AND SURFACE ROUGHNESS OF TiN COATINGS DEPOSITED ON TOOL STEEL USING ARC METHOD

2007 ◽  
Vol 14 (05) ◽  
pp. 1007-1013 ◽  
Author(s):  
ESAH HAMZAH ◽  
ALI OURDJINI ◽  
MUBARAK ALI ◽  
PARVEZ AKHTER ◽  
MOHD RADZI HJ. MOHD TOFF ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Friction Coefficient ◽  
Tool Steel ◽  
Flow Rate ◽  
Physical Vapor Deposition ◽  
Gas Flow ◽  
Cutting Tools ◽  
Gas Flow Rate ◽  
Pin On Disc ◽  
The Coefficient Of Friction

In the present study, the effect of various N 2 gas flow rates on friction coefficient and surface roughness of TiN -coated D2 tool steel was examined by a commercially available cathodic arc physical vapor deposition (CAPVD) technique. A Pin-on-Disc test was carried out to study the Coefficient of friction (COF) versus sliding distance. A surface roughness tester measured the surface roughness parameters. The minimum values for the COF and surface roughness were recorded at a N 2 gas flow rate of 200 sccm. The increase in the COF and surface roughness at a N 2 gas flow rate of 100 sccm was mainly attributed to an increase in both size and number of titanium particles, whereas the increase at 300 sccm was attributed to a larger number of growth defects generated during the coating process. These ideas make it possible to optimize the coating properties as a function of N 2 gas flow rate for specific applications, e.g. cutting tools for automobiles, aircraft, and various mechanical parts.

Relationships between Textures and Surface Roughness, Frictional Behavior, Erosion and Corrosion Properties of TiN Films

2004 ◽  
Vol 449-452 ◽  
pp. 781-784 ◽  
Author(s):  
Hee Dong Kim ◽  
In Soo Kim ◽  
Dong Young Sung ◽  
Min Gu Lee ◽  
S. Dost ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Corrosion Resistance ◽  
Friction Coefficient ◽  
Physical Vapor Deposition ◽  
Textured Surface ◽  
Corrosion Properties ◽  
Tin Films ◽  
Physical Vapor Deposition Method ◽  
Erosion Corrosion ◽  
Better Than

TiN coated films were prepared by a reactive ion physical vapor deposition method. In this research, we studied the relationships between textures and friction coefficient, erosion-corrosion resistance and corrosion resistance in textured TiN films. The surface roughness of (115) textured TiN films is lower than that of (111) textured TiN films. The friction coefficient of (115) textured surface is similar with that of (111) textured surface of TiN coated films. The erosion-corrosion and corrosion resistance of (115) textured surface is better than that of (111) textured surface of TiN coated films.

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