scholarly journals EVALUATION OF TRIBOLOGICAL CHARACTERISTICS OF MATERIAL PREPARED BY DMLS TECHNOLOGY

2021 ◽  
Vol 2021 (4) ◽  
pp. 4941-4945
Author(s):  
VLADIMIR SIMKULET ◽  
◽  
DARINA DUPLAKOVA ◽  
ALEXANDRA KOVALCIKOVA ◽  
MICHAL HATALA ◽  
...  
Keyword(s):  
Sliding Friction ◽  
Normal Load ◽  
Steel Powder ◽  
Wear Testing ◽  
Tribological Characteristics ◽  
Wear Behaviour ◽  
Dry Sliding ◽  
Prepared Material ◽  
Worn Surface ◽  
Ball On Disc

The method of producing molten metal powder according to the European laser sintering system (EOSINT) was used to prepare the experimental material. The used powder metal material was designated EOS Maraging Steel - MS1. It is a steel powder, which is optimized especially for processing in EOSINT M 280 systems. The measurement of tribological characteristics of prepared materials was performed using the standard STN ISO 20808: 2004. The ball-on-disc dry sliding friction and wear experiments have been made on prepared materials in contact with steel ball. For the experiment, there were determined the following conditions: the value of normal load 5 N, the sliding radius 2 mm. Wear testing was carried out at room temperature 25°C using the ball-on-disc technique. Wear behaviour of the prepared material was studied in dry sliding; relative humidity was 26-28%. The normal load of 5 N; and sliding speed of 0.1 m/s was applied. The total sliding distance was 1000 m. The worn surface was analysed by confocal microscope and scanning electron microscope.

Microstructural Evolution in Worn Surface Layer of T10 against 20CrMnTi Steels after Dry Sliding Friction

2014 ◽  
Vol 692 ◽  
pp. 282-287 ◽  
Author(s):  
Xin Wang ◽  
Rong Bin Li ◽  
Jing Zhang
Keyword(s):  
Surface Layer ◽  
Microstructural Evolution ◽  
Sliding Friction ◽  
Normal Load ◽  
Dry Sliding ◽  
Friction Test ◽  
Pin On Disc ◽  
Steel Disc ◽  
Dry Sliding Friction ◽  
Worn Surface

The dry sliding friction test of normalized T10 steel against hardened quenched and tempered 20CrMnTi steel under normal load of 60 N and sliding speed of 0.29m/s was carried out on a pin-on-disc tribo-tester. The microstructures in the worn surface layer of T10 steel pin and 20CrMnTi steel disc were analyzed by OM, SEM, and TEM, which were all severely plastically deformed. The ultrafine and even nanoferrite grains (5 nm to 200 nm) were observed in the worn surface layer of T10 steel pin, which was considered to be the result of severely shear deformation.

Effect of Dry Sliding Wear Behaviour of AA6061/ZrB2/SiC Hybrid Composite

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
S.R. Ruban ◽  
K.L.Dev. Wins ◽  
J.D.R. Selvam ◽  
A.A. Richard
Keyword(s):  
Hybrid Composite ◽  
Sliding Wear ◽  
Normal Load ◽  
Stir Casting ◽  
Wear Behaviour ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Pin On Disc ◽  
Worn Surface ◽  
Sliding Wear Behaviour

This paper investigates the dry sliding wear behaviour of AA6061/ZrB2/SiC hybrid composite prepared by the stir casting. A pin-on-disc wear apparatus was used for this study. The effect of ZrB2 and SiC particulate content and normal load on wear rate was analyzed. The insitu fabricated ZrB2 and the reinforced SiC particles enhance the wear resistance of the AA6061 composite. The worn surface analysis of the composite as a function of ZrB2 and SiC particulate content and normal load are also presented.

Optimization of dry sliding wear parameters of recursive friction stir processed aluminium 7075 alloy

2020 ◽  
pp. 135065012094161
Author(s):  
G Girish ◽  
V Anandakrishnan
Keyword(s):  
Electron Microscopy ◽  
Wear Rate ◽  
Sliding Wear ◽  
Wear Testing ◽  
Wear Behaviour ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Friction Stir ◽  
Sliding Distance

In this work, the dry sliding wear behaviour of recursively friction stir processed AA7075 was investigated using a pin-on-disc wear testing apparatus. The microstructure of the processed specimen was probed using optical microscopy, transmission electron microscopy and atomic force microscopy. Experiments were conducted using Taguchi experimental design by varying three different parameters like load, sliding velocity and sliding distance, and the analysis of variance was performed to identify the influence of the parameters over the wear rate. From the main effect plot, the combination of 9.81 N of load, 2 m/s of sliding velocity and a sliding distance of 2000 m was identified as the optimum levels that minimize the wear rate. The regression model was developed to calculate the wear rate, and the validation test was performed with the optimum parameter combination and compared with the experimental results. Wear tracks were examined using field-emission scanning electron microscopy to identify the type of wear mechanism.

Garnet and Al-flyash composite under dry sliding conditions

2017 ◽  
Vol 52 (17) ◽  
pp. 2281-2288 ◽  
Author(s):  
S Sivakumar ◽  
S Senthil Kumaran ◽  
M Uthayakumar ◽  
A Daniel Das
Keyword(s):  
Genetic Algorithm ◽  
Wear Rate ◽  
Process Parameters ◽  
Sliding Wear ◽  
Wear Behavior ◽  
Testing Machine ◽  
Wear Testing ◽  
Wear Behaviour ◽  
Dry Sliding Wear ◽  
Dry Sliding

The dry sliding wear behaviour of LM 24 aluminum alloy composites reinforced with garnet particles was evaluated. Stir casting technique was used to fabricate the composites. A pin-on-disc wear-testing machine was used to evaluate the wear rate, in which an EN 24 steel disc was used as the counterface. Results indicated that the wear rates of the composites were lower than that of the matrix alloy and further decreased with the increase in garnet content. However, in both unreinforced and reinforced composites, the wear rate increased with the increase in load and the sliding speed. Increase in the applied load increased the wear severity by changing the wear mechanism from abrasion to particle cracking-induced delamination wear. It was found that with the increase in garnet content, the wear resistance increased monotonically. The observations have been explained using scanning electron microscopy analysis of the worn surfaces and the subsurface of the composites. In this work, the most influencing input and output parameters have been performed and the process parameters have been prioritized using genetic algorithm. Genetic algorithm is used to optimize the most influencing input as well as output process parameters. The practical significance of applying genetic algorithm to dry sliding wear behavior process has been validated by means of computing the deviation between predicted and experimentally obtained wear behavior of metal matrix composite.

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