Wear Of Mild Steel Research Articles

Development of a Surface Modification Procedure for Enhanced Hardness and Wear of Mild Steel

Development of a Surface Modification Procedure for Enhanced Hardness and Wear of Mild Steel

Effects of Self-Lubricant Coating and Motion on Reduction of Friction and Wear of Mild Steel and Data Analysis from Machine Learning Approach.

The applications of coated mild steels are gaining significant attention in versatile industrial areas because of their better mechanical properties, anticorrosive behavior, and reproducibility. The life period of this steel reduces significantly under relative motion in the presence of friction, which is associated with the loss of billion-dollar every year in industry. Productivity is hampered, and economic growth is declined. Several pieces of research have been conducted throughout the industries to seeking the processes of frictional reduction. This study is attributed to the tribological behavior of electroplated mild steel under various operating parameters. The efficiency of commercial lubricant and self-lubrication characteristics of coated layer plays a significant role in the reduction of friction. The reciprocating and simultaneous motion in relation to pin as well as disc are considered during experimentation. The lubricating effects in conjunction with motions are responsible for compensating the friction and wear at the desired level. During frictional tests, the sliding velocity and loads are changed differently. The changes in roughness after frictional tests are observed. The coated and rubbing surfaces are characterized using SEM (Scanning Electron Microscopy) analysis. The coating characteristics are analyzed by EDS (Energy Disperse Spectroscopy), FTIR (Fourier-transform Infrared Spectroscopy), and XRD (X-ray diffraction analysis) methods. The lubrication, reciprocating motion, and low velocity result in low friction and wear. The larger the imposed loads, the smaller the frictional force, and the larger the wear rate. The machine learning (ML) concept is incorporated in this study to identify the patterns of datasets spontaneously and generate a prediction model for forecasting the data, which are out of the experimental range. It can be desired that the outcomes of this research will contribute to the improvement in versatile engineering fields, such as automotive, robotics, and complex motion-based mechanisms where multidimensional motion cannot be ignored.

Synthesis, characterization and corrosion inhibition studies of polyunsaturated fatty acid derivatives on the acidic corrosion of mild steel: Experimental and computational studies

In an effort to make an efficient and benign CI for the purpose of acidizing, a novel range of new derivatives of polyunsaturated fatty acids (PUFA) were prepared from a group of amines and Z-9,12-octadecadienoic acid with Excellent yields. Elemental analysis, FTIR, 13C NMR and 1H NMR was employed to realize a description for the newly manufactured compound. The inhibitive action of synthesized amides was examined by means of potentiodynamic polarization techniques and weight loss measurements in 1.00 M HCl. Derivatives of Z-9,12-octadecadienoic acid amides (DA) were found to obey the Langmuir adsorption model. The hydrophobic nature of mild steel (MS) was revealed by measurement of the contact angle in the presence of CI. The experimental findings were found to be supported by quantum chemical calculations. Inhibition efficiencies were computed for various DA concentrations for inhibition against the wear of MS in 100.00 ml of 1.00 M HCl, with exposure for four days at temperatures ranging from 298 to 333 K. For a DA concentration of 100 ppm, every inhibitor molecule showed outstanding percentage inhibition efficiencies in 1.00 M HCl. Compounds 2, 3, 4, 5, 6, 7, 8 and 9 offered a robust percentage inhibition efficiency of 92.90, 86.6, 49.8, 82.7, 85.9, 96.70, 94.30 and 91.30, correspondingly, at 100 ppm. The interaction of the p-electrons in compounds with low-energy, empty Fe d-orbitals helped the inhibitive molecules (IMs) to experience adsorption and inhibit the process of anodic dissolution. When Tafel plots were employed for the compounds used in the electrochemical method, similar findings were obtained for the percentage inhibition efficiencies. Compound adsorption on the MS surface was discovered to obey Arrhenius and Transition state plots in 1.00 M HCl.

Analytical and Numerical Wear Modeling of Metallic Interfaces: A Statistical Asperity Approach

Prediction of the wear rate based on fundamental material properties is to date an elusive goal due to the nonlinearity of wear mechanisms, the stochastic nature of the surface morphology, and the multiscale nature of the phenomenon. In the present work, a previously developed dual-scale model that addresses the above issues by employing single-asperity interactions at the microscale and the interaction between stochastic surface morphologies at the macroscale is applied. The microscale model can be analytical, based on slip-line field theory; semi-empirical, based on generalizing the observed mechanisms; or numerical, based on the mesh-free smooth particle hydrodynamics method. The macroscale model transforms the surface topography into a multivariate distribution of asperity parameters and maps the microscale model's response; then it simulates the wear process via a Monte Carlo simulation by querying the map and integrating over the interface to maintain a load-separation equilibrium. The multiscale model is applied to the case of abrasive and adhesive wear of mild steel, and the results corresponding to various analytical and numerical microscale models are compared.

Effects of hydrogen on the abrasive wear of mild steel

Effects of hydrogen on the abrasive wear of mild steel

The Influence of Load-Difference in Reciprocating Stroke on the Lubricated Wear

The paper presents the results of a study of the influence of load-difference in reciprocating stroke on lubricated wear of mild steel against hardened steel. Reciprocating friction machine used for the wear tests is designed to give differential load in reciprocating strokes. The load-difference in the strokes is expressed by the load amplitude (P1-P2)/2, where P2 and P2 are applied loads for each stroke. In the initial stage, a higher wear rate is obtained under reciprocating than under one-way friction, due to the more plastic flow of the surface. In the steady stage, the influence of load-difference is larger than that in the initial one, and the wear mechanism is explained as a phenomenon of surface fatigue by considering the relation between the load amplitude and the rate of pit formations.

Paper 20: The Effect of Temperature on the Fretting Wear of Mild Steel

This paper describes an apparatus used to investigate the temperature variable in fretting. Observations have been made on the nature of the wear, its appearance, and its extent in two atmospheres—air and argon. In argon, the wear is adhesive in nature and has been shown to be influenced by a change of material properties with temperature. With an air environment, the adherence and stability of the oxide product is temperature-dependent, thus affecting the wear rate. From a consideration of wear scar parameters it is shown that abrasion by α-Fe2O3debris is not the main cause of fretting wear.