Optimising the wear performance of HVOF thermal spray coated Ti-6Al-4V alloy by grey relational approach

2020 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
S. Thirumalvalavan ◽  
N. Senthilkumar
Keyword(s):  
Thermal Spray ◽  
Wear Performance ◽  
Relational Approach ◽  
Hvof Thermal Spray ◽  
Grey Relational

Stellite Superalloy Powder Deposition on 7075 Aluminum Alloy

2019 ◽  
Author(s):  
L. C. Casteletti ◽  
A. Lombardi Neto ◽  
D. T. de Macedo ◽  
L. B. Cruvinel ◽  
George Totten
Keyword(s):  
Aluminum Alloy ◽  
Thermal Spray ◽  
Material Properties ◽  
Base Material ◽  
7075 Aluminum Alloy ◽  
Wear Performance ◽  
Thermal Spray Process ◽  
Spray Process ◽  
Hvof Thermal Spray ◽  
Hvof Thermal Spray Process

Several types of powders can be deposited on metal alloys for property improvement using thermal spray processes. Aircraft grade 7075 aluminum alloy possesses good mechanical properties but poor wear and corrosion resistance. Thermal spray coatings can improve the poor wear performance of 7075 so that it is suitable for use in severe conditions by depositing a hard, wear-resisting layer over the base material. This can be done by a simple production process while maintaining the base material properties. Among the available coatings, cobalt-base superalloys, such as Stellites, provides excellent protection against corrosion and wear. However, the treatment must not deteriorate the substrate hardness. In the High Velocity Oxygen Fuel (HVOF) thermal spray process, the short resident time of the powder in the flame results in a relatively small temperature increase, which in turn results in a lower substrate temperature during the coating deposition. In the present work, HVOF thermal spray process was used to coat 7075-T3 aluminum alloy samples with Stellite 6 superalloy. This treatment resulted in layers of high hardness and improved wear performance while keeping the base material properties unchanged.

scholarly journals Sliding Wear of Conventional and Suspension Sprayed Nanocomposite WC-Co Coatings: An Invited Review

2021 ◽  
Author(s):  
R. Ahmed ◽  
O. Ali ◽  
C. C. Berndt ◽  
A. Fardan
Keyword(s):  
Wear Rate ◽  
Thermal Spray ◽  
Sliding Wear ◽  
Failure Modes ◽  
Thermal Spray Coatings ◽  
Annual Growth Rate ◽  
Total Energy Consumption ◽  
Wear Performance ◽  
Wear Rates ◽  
Spray Coatings

AbstractThe global thermal spray coatings market was valued at USD 10.1 billion in 2019 and is expected to grow at a compound annual growth rate of 3.9% from 2020 to 2027. Carbide coatings form an essential segment of this market and provide cost-effective and environmental friendly tribological solutions for applications in aerospace, industrial gas turbine, automotive, printing, oil and gas, steel, and pulp and paper industries. Almost 23% of the world’s total energy consumption originates from tribological contacts. Thermal spray WC-Co coatings provide excellent wear resistance for industrial applications in sliding and rolling contacts. Some of these applications in abrasive, sliding and erosive conditions include sink rolls in zinc pots, conveyor screws, pump housings, impeller shafts, aircraft flap tracks, cam followers and expansion joints. These coatings are considered as a replacement of the hazardous chrome plating for tribological applications. The microstructure of thermal spray coatings is however complex, and the wear mechanisms and wear rates vary significantly when compared to cemented WC-Co carbides or vapour deposition WC coatings. This paper provides an expert review of the tribological considerations that dictate the sliding wear performance of thermal spray WC-Co coatings. Structure–property relationships and failure modes are discussed to grasp the design aspects of WC-Co coatings for tribological applications. Recent developments of suspension sprayed nanocomposite coatings are compared with conventional coatings in terms of performance and failure mechanisms. The dependency of coating microstructure, binder material, carbide size, fracture toughness, post-treatment and hardness on sliding wear performance and test methodology is discussed. Semiempirical mathematical models of wear rate related to the influence of tribological test conditions and coating characteristics are analysed for sliding contacts. Finally, advances for numerical modelling of sliding wear rate are discussed.

scholarly journals MODIFIKASI PENGUJIAN KEKUATAN LEKAT LAPISAN HVOF THERMAL SPRAY DENGAN SERBUK WC PADA NOSEL ROKET

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Bondan T Sofyan ◽  
Haposan J Pardede ◽  
Marizki Stefano ◽  
Edi Sofyan
Keyword(s):  
Thermal Spray ◽  
Hvof Thermal Spray

scholarly journals Combating Wear of ASTM A36 Steel by Surface Modification Using Thermally Sprayed Cermet Coatings

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Vineet Shibe ◽  
Vikas Chawla
Keyword(s):  
Thermal Spray ◽  
Sliding Wear ◽  
Thermal Spray Coatings ◽  
Wear Performance ◽  
Cermet Coatings ◽  
Spray Coatings ◽  
Spray Technique ◽  
A36 Steel ◽  
Thermally Sprayed ◽  
Better Than

Thermal spray coatings can be applied economically on machine parts to enhance their requisite surface properties like wear, corrosion, erosion resistance, and so forth. Detonation gun (D-Gun) thermal spray coatings can be applied on the surface of carbon steels to improve their wear resistance. In the present study, alloy powder cermet coatings WC-12% Co and Cr3C2-25% NiCr have been deposited on ASTM A36 steel with D-Gun thermal spray technique. Sliding wear behavior of uncoated ASTM A36 steel and D-Gun sprayed WC-12% Co and Cr3C2-25% NiCr coatings on base material is observed on a Pin-On-Disc Wear Tester. Sliding wear performance of WC-12% Co coating is found to be better than the Cr3C2-25% NiCr coating. Wear performance of both these cermet coatings is found to be better than uncoated ASTM A36 steel. Thermally sprayed WC-12% Co and Cr3C2-25% NiCr cermet coatings using D-Gun thermal spray technique is found to be very useful in improving the sliding wear resistance of ASTM A36 steel.

scholarly journals Pengaruh Proses Oksidasi Lapisan Metal Matrix Composite pada Substrat SS316

2019 ◽  
Vol 4 (2) ◽  
pp. 277
Author(s):  
Erie Martides ◽  
Candra Dewi Romadhona ◽  
Djoko Hadi Prajitno ◽  
Budi Prawara
Keyword(s):  
Metal Matrix Composite ◽  
Thermal Spray ◽  
Matrix Composite ◽  
High Velocity ◽  
Metal Matrix ◽  
Spray Coating ◽  
Thermal Spray Coating ◽  
High Velocity Oxygen Fuel ◽  
Hvof Thermal Spray ◽  
Oxygen Fuel

Material SS316 seringkali digunakan untuk komponen yang bekerja pada temperatur tinggi dengan resiko mengalami oksidasi yang menyebabkan penurunan sifat material dan umur pakai dari komponen. Deposisi Metal Matrix Composite (MMC) NiCr+Cr3C2+Al2O3 dan NiCr+WC12Co+Al2O3 menggunakan metode High Velocity Oxygen Fuel (HVOF) thermal spray coating dengan parameter konstan dilakukan sebagai proses perlakuan pada permukaan SS316 untuk meningkatkan nilai kekerasan dan ketahanan terhadap oksidasi.  Tujuan penelitian ini adalah untuk mengetahui pengaruh proses oksidasi lapisan MMC pada material substrat SS316. Proses oksidasi dilakukan dengan variasi temperatur 500° dan 600°C, penahanan temperatur selama 6 jam, kemudian diteruskan dengan karakterisasi serta perhitungan laju oksidasi. Hasil penelitian menunjukkan spesimen MMC NiCr+Cr3C2+Al2O3 yang dilakukan proses oksidasi pada suhu 500°C memiliki laju oksidasi terendah yaitu 6,67 x 10-7 gram/mm2 jam. 

Sustainability Appraisement of Industrial Robots by GRA for Real Automation Environment

2019 ◽  
Vol 10 (3) ◽  
pp. 53-68
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Decision Making Process ◽  
Managerial Decision ◽  
Relational Approach ◽  
Knowledge Based ◽  
Sets Theory ◽  
Grey Relational

A knowledge-based tool for executing the managerial decision-making process is presented in this work. The work evaluated the significant robot i.e. industrial machines for sustainably handling the real time manufacturing environment. The presented tool integrates the grey sets theory with grey relational approach (GRA) to support the decision-making process for opting most significant industrial robot. The performance mapping of industrial robots by GRA under grey set theory is presented for defining a sustainable real automation environment. The work offers the essence of both grey set theory and grey relational approach under a sole ring. The work implicates grey sets theory to capture the uncertainties associated with the evaluation of robot measures and implicated GRA to recognize the most valuable robot alternative. The proposed tool is developed by categorizing the list of qualitative and quantitative characteristics; which links the robot evaluation properties. The work attempts to draft a knowledgeable tool for effectively executing manufacturing activities by the robots.

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