scholarly journals OPTIMIZATION OF THE PROCESS OF MULTILAYER CENTRIFUGAL INDUCTION SURFACING OF COATINGS BASED ON ALUMINUM ALLOYS

2021 ◽  
Vol 2 (55) ◽  
pp. 35-41
Author(s):  
М.A. Belotserkovsky ◽  
◽  
A.A. Kurilyonok ◽  
K.E. Belyavin ◽  
I.A. Sosnovsky ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Wear Rate ◽  
Heating Temperature ◽  
Alloy Coating ◽  
Wear Intensity ◽  
Coating Material ◽  
Isothermal Exposure ◽  
Factors Affecting ◽  
Antifriction Coatings

As a result of the conducted research, using the methods of mathematical planning of the experiment, the optimization of the process of multilayer centrifugal induction surfacing of antifriction coatings based on aluminum alloys was performed, which made it possible to develop a mathematical model and determine the optimal range of values of technological modes. The dependences of the minimum wear rate of the coating material Iq (mg/m) on the parameters of multilayer induction centrifugal surfacing of aluminum alloy coatings are established. The main factors affecting the wear rate of the coating were the heating temperature of the part T (°C), the time of the isothermal exposure t (min) and the speed of rotation of the part n (rpm). Based on the results of computational and experimental modeling, it is shown that in order to obtain the optimal wear intensity of the aluminum alloy coating material, the parameters of the multilayer centrifugal induction surfacing process should be as follows: the rotation speed of the part n = 1,750–1,875 rpm, the heating temperature of the part T = 775–800 °C, the isothermal exposure time t = 7–8 min.

scholarly journals Elastic, inelastic and time constant measurement for M102 (AL–C–O) dispersions-reinforced aluminum alloys

2020 ◽  
pp. 61-66
Author(s):  
Khaleel Abushgair
Keyword(s):  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Time Constant ◽  
Room Temperature ◽  
Strain Range ◽  
Time Interval ◽  
Cnc Milling ◽  
Plastic Deformations ◽  
Factors Affecting ◽  
Bulk Content

Purpose. To conduct an experimental study on M102 aluminum alloy bulk content characterization under cyclic loadings for precision applications such as balance machines, optical, and laser instruments. M102 (AL-C-O) dispersion-reinforced aluminum alloy was chosen because of its ability to withstand temperatures beyond 200C and has a better strength than precipitation-hardened Al alloys at room temperature. A CNC milling machine is used to manufacture test samples with longitudinal machining directions. A constant time interval is set for the fabric a quarter-hour span, which is based on the investigation of inelastic and plastic deformations in the nanoscale. Methodology. An electromagnetic test instrument applies a tensile stress range of 10 to 145 N/mm2 to samples with particular shape. It should be noted that interferometers and capacitive sensors were used to measure all forms of deformations with and without loading. The experiments are carried out in a temperature-stable environment of 30.5 C; measurements are taken within a residual strain range of 10 microns. Findings. The results obtained show that results for inelastic deformations for samples of longitudinal cuts direction at 30.5 C were measured under 150 N/mm2 stress as 500 nm inelastic deformation and 100 nm plastic deformation were measured, which is much higher than aluminum alloy studied before at room temperature (20 C). Furthermore, it was found that the time constant of the M102 (ALCO) aluminum alloy samples was double times higher than that for other samples, Originality. For the first time, a study has been conducted on inelastic and plastic deformations in the nanoscale for characterization of M102 aluminum alloy bulk content under cyclic loadings for precision applications. Practical value. One of the main factors affecting the using of other materials than steel in precision applications such as balance machines, optical, and laser instruments is measurement and determination of inelastic, plastic and time constant of the process of delamination of materials of different aluminum alloys since they are nonmagnetic, are easily machined and shaped. This will bring new products and opportunities for these materials.

Deep Cryogenic Treatment and CrN Coating Effects on Micro-Scale Abrasion of Aluminum Alloy AA 6101-T4

2014 ◽  
Vol 936 ◽  
pp. 1047-1055 ◽  
Author(s):  
Edgar S. Ashiuchi ◽  
Volker F. Steier ◽  
Cosme R.M. Silva ◽  
Tales D. Barbosa ◽  
Tiago F.O. Melo ◽  
...  
Keyword(s):  
Wear Resistance ◽  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Wear Rate ◽  
Cryogenic Treatment ◽  
Deep Cryogenic Treatment ◽  
Low Wear ◽  
The Impact ◽  
Improve Wear Resistance ◽  
Wear Tests

The endurance of components made of aluminum and aluminum alloys is often limited by their low yield strength and by their low wear resistance. The aim of this paper is to investigate the effect of different methods that can improve wear resistance of aluminum alloys. As a first approach, a highly wear resistant chromium nitrite layer was deposited by plasma vapor deposition on the surface of the aluminum alloy AA 6101-T4. In the second method, an ultra-deep cryogenic treatment was selected. Both methods have been previously used to improve the wear resistance of other harder substrate materials, like tool steel. To investigate the impact of the two methods on the wear resistance of such alloy, micro abrasive wear tests were carried out and an analysis based on the Archard’s law was considered. The results showed a decrease of the wear rate by 29% and 26% for the coated and for the cryogenically treated specimens, respectively, when compared to the as received material. The work also investigated the performance of three different methods (Allsopp, Double Intercept and Polynomial AT) usually considered to calculate the wear rate of coated samples. The three methods presented similar measures of wear rate for the substrate and for the coating

scholarly journals Surface Modification of Aluminum 6061-O Alloy by Plasma Electrolytic Oxidation to Improve Corrosion Resistance Properties

Coatings ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 4
Author(s):  
Dmitry V. Dzhurinskiy ◽  
Stanislav S. Dautov ◽  
Petr G. Shornikov ◽  
Iskander Sh. Akhatov
Keyword(s):  
Corrosion Resistance ◽  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Plasma Electrolytic Oxidation ◽  
Electrochemical Impedance ◽  
High Strength ◽  
Electrolytic Oxidation ◽  
Coating Layers ◽  
Plasma Electrolytic ◽  
High Strength Aluminum Alloys

In the present investigation, the plasma electrolytic oxidation (PEO) process was employed to form aluminum oxide coating layers to enhance corrosion resistance properties of high-strength aluminum alloys. The formed protective coating layers were examined by means of scanning electron microscopy (SEM) and characterized by several electrochemical techniques, including open circuit potential (OCP), linear potentiodynamic polarization (LP) and electrochemical impedance spectroscopy (EIS). The results were reported in comparison with the bare 6061-O aluminum alloy to determine the corrosion performance of the coated 6061-O alloy. The PEO-treated aluminum alloy showed substantially higher corrosion resistance in comparison with the untreated substrate material. A relationship was found between the coating formation stage, process parameters and the thickness of the oxide-formed layers, which has a measurable influence on enhancing corrosion resistance properties. This study demonstrates promising results of utilizing PEO process to enhance corrosion resistance properties of high-strength aluminum alloys and could be recommended as a method used in industrial applications.

Carbonate-Free Zn-Al (1:1) Layered Double Hydroxide Film Directly Grown on Zinc-Aluminum Alloy Coating

2013 ◽  
Vol 3 (1) ◽  
pp. C9-C11 ◽  
Author(s):  
A. N. Salak ◽  
A. D. Lisenkov ◽  
M. L. Zheludkevich ◽  
M. G. S. Ferreira
Keyword(s):  
Aluminum Alloy ◽  
Layered Double Hydroxide ◽  
Alloy Coating ◽  
Hydroxide Film ◽  
Double Hydroxide

The Effect of Heat Treatments and Nickel Additive on The Microstructure and Hardness of 7075 Aluminum Alloy

2019 ◽  
Vol 7 (2) ◽  
pp. 34-41
Author(s):  
Mahmoud Alasad ◽  
Mohamad Yahya Nefawy
Keyword(s):  
Mechanical Properties ◽  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Artificial Aging ◽  
Heat Treatments ◽  
7075 Aluminum Alloy ◽  
Nickel Additive

The aluminum alloys of the 7xxx series consist of Al with Zn mainly, Mg and Cu. 7xxx aluminum alloys has high mechanical properties making it distinct from other aluminum alloys. In this paper, we examine the effect of adding Nickel and heat treatments on the microstructure and hardness of the 7075 aluminum alloy. Were we added different percentages of nickel [0.1, 0.5, 1] wt% to 7075 Aluminum alloy, and applied various heat treatments (artificial aging T6 and Retrogression and re-aging RRA) on the 7075 alloys that Containing nickel. By applying RRA treatment, we obtained better results than the results obtained by applying T6 treatment, and we obtained the high values of hardness and a smoother microstructure for the studied alloys by the addition of (0.5 wt%) nickel to alloy 7075.

Rapid fabrication of the continuous AlFeCrCoNi high entropy alloy coating on aluminum alloy by resistance seam welding

2020 ◽  
Vol 517 ◽  
pp. 145980 ◽  
Author(s):  
Dechao Zhao ◽  
Tomiko Yamaguchi ◽  
Jinfeng Shu ◽  
Tatsuya Tokunaga ◽  
Tsubasa Danjo
Keyword(s):  
Aluminum Alloy ◽  
Alloy Coating ◽  
High Entropy Alloy ◽  
Seam Welding ◽  
High Entropy ◽  
Rapid Fabrication

scholarly journals Prediction of the Deformation of Aluminum Alloy Drill Pipes in Thermal Assembly Based on a BP Neural Network

2022 ◽  
Vol 12 (2) ◽  
pp. 757
Author(s):  
Xiaofeng Wang ◽  
Baochang Liu ◽  
Jiaqi Yun ◽  
Xueqi Wang ◽  
Haoliang Bai
Keyword(s):  
Neural Network ◽  
Aluminum Alloy ◽  
Prediction Model ◽  
Bp Neural Network ◽  
Prediction Accuracy ◽  
Thermal Deformation ◽  
Heating Temperature ◽  
Cooling Water ◽  
Interference Fit ◽  
Steel Joint

The connection between the steel joint and aluminum alloy pipe is the weak part of the aluminum alloy drill pipe. Practically, the interference connection between the aluminum alloy rod and the steel joint is usually realized by thermal assembly. In this paper, the relationship between the cooling water flow rate, initial heating temperature and the thermal deformation of the steel joint in interference thermal assembly was studied and predicted. Firstly, the temperature data of each measuring point of the steel joint were obtained by a thermal assembly experiment. Based on the theory of thermoelasticity, the analytical solution of the thermal deformation of the steel joint was studied. The temperature function was fitted by the least square method, and the calculated value of radial thermal deformation of the section was finally obtained. Based on the BP neural network algorithm, the thermal deformation of steel joint section was predicted. Besides, a prediction model was established, which was about the relationship between cooling water flow rate, initial heating temperature and interference. The magnitude of interference fit of steel joint was predicted. The magnitude of the interference fit of the steel joint was predicted. A polynomial model, exponential model and Gaussian model were adopted to predict the sectional deformation so as to compare and analyze the predictive performance of a BP neural network, among which the polynomial model was used to predict the magnitude of the interference fit. Through a comparative analysis of the fitting residual (RE) and sum of squares of the error (SSE), it can be known that a BP neural network has good prediction accuracy. The predicted results showed that the error of the prediction model increases with the increase of the heating temperature in the prediction model of the steel node interference and related factors. When the cooling water velocity hit 0.038 m/s, the prediction accuracy was the highest. The prediction error increases with the increase or decrease of the velocity. Especially when the velocity increases, the trend of error increasing became more obvious. The analysis shows that this method has better prediction accuracy.

scholarly journals Influence of load and reinforcement content on selected tribological properties of Al/SiC/Gr hybrid composites

2018 ◽  
Vol 18 (18) ◽  
pp. 18-23 ◽  
Author(s):  
Sandra Veličković ◽  
Slavica Miladinović ◽  
Blaža Stojanović ◽  
Ružica R. Nikolić ◽  
Branislav Hadzima ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Friction Coefficient ◽  
Wear Rate ◽  
Tribological Properties ◽  
Metal Matrix ◽  
Hybrid Composites ◽  
Tribological Characteristics ◽  
Volume Fractions ◽  
Sic Particles ◽  
The Matrix

Abstract Hybrid materials with the metal matrix are important engineering materials due to their outstanding mechanical and tribological properties. Here are presented selected tribological properties of the hybrid composites with the matrix made of aluminum alloy and reinforced by the silicon carbide and graphite particles. The tribological characteristics of such materials are superior to characteristics of the matrix – the aluminum alloy, as well as to characteristics of the classical metal-matrix composites with a single reinforcing material. Those characteristics depend on the volume fractions of the reinforcing components, sizes of the reinforcing particles, as well as on the fabrication process of the hybrid composites. The considered tribological characteristics are the friction coefficient and the wear rate as functions of the load levels and the volume fractions of the graphite and the SiC particles. The wear rate increases with increase of the load and the Gr particles content and with reduction of the SiC particles content. The friction coefficient increases with the load, as well as with the SiC particles content increase.

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