Corrosion is not just among the most important reasons for material loss and energy consumption, it also one of the main causes for the failure of mechanical parts [1-2].Using excellent surface strengthening technology and, performing anti-corrosion coating on metallic material surfaces can not only improve the reliability and service life of products, it can also reduce product repair and replacement. In addition, surface-strengthening technology can also save material and energy, which contributes to the protection of the environment and aligns with a sustainable development strategy. This paper utilizes tungsten argon arc surface welding technology to study the corrosion resistance of titanium carbide(TiC) coating. Graphite powder, titanium(TiC) powder, and iron(Fe) powder as pre-applied powders were put on 45 steel surfaces to prepare TiC/Fe matrix composite coating using in-situ synthesis technology. The microstructure and properties of the coating were investigated by measuring the open circuit potential, polarization curve in 3.5% sodium chloride (NaCl) solution, 5% sulfuric acid (H2O4)solution. The conclusions were verified using weight loss method. The results of the experiment show that in 3.5% sodium chloride solution, the stable corrosion potential of TiC coating is higher than 45 steel. Other effects include a decrease in the thermodynamic trend of corrosion reaction and a reduction in the possibility of corrosion. However it did not change obviously in 5% sulfuric acid solution. Thus the corrosion rate of TiC coating is higher than 45 steel in 3.5% sodium chloride solution and 5% sulfuric acid solution. KeywordsTungsten ArgonArc Surfacing Welding; Composite Coating; TiC; Corrosion Resistance

With Ti powder, Al powder and graphite powder as the coating material, and with industrial N2 as the shielding gas and reactive gas, the TiAl(CN)/Fe Cermet Composite Coating were prepared on the surface of Q235 steel base on Reactive Nitrogen Arc cladding by the TXII500 argon arc welding machine. The microstructure, phases and micro-hardness were investigated by means of scanning electron microscope (SEM), X-ray diffraction (XRD) and MH-6 micro-hardness instrument. The wear loss of TiAl(CN)/Fe coating and 65Mn steel were analyzed and compared by HSR-2M friction and wear testing machine under room temperature dry sliding wear. The experiments show that the coating and the substrate forms metallurgical bond without stomata andcrack; the coating are composed of TiAl(C0.51N0.12) phase, AlFe3 phase,FeC phase; the micro-hardness of TiAl(CN)/Fecoating is 1110HV0.5 high, about 4 times of base metal; comparing with the 65Mn,the wear weight loss of TiAl(CN)/Fe coating is about 1/2 times, the wear resistance of TiAl(CN)/Fe coating is excellent. KeywordsIn-Situ Synthesis; Reactive Nitrogen Arc Cladding; Tial(CN) Cermet; Microstructure; Wear Resistance

Vale projects an increase in annual tonnage of more than 120 percent its Estrada de Ferro Carajas between 2012 and 2017. Part of the increase will be accomplished by obtaining new wagons that will be operated at 37.5 tonne axle loads. Transportation Technology Center, Inc. (TTCI) and Vale conducted a test of a new wagon to determine secondary suspension stiffness as well as inertial mass moments of inertia of the wagon body. The results were used in conjunction with results from track testing to construct an accurate model of the wagon. The validated model was used to compare wheel and rail wear at the increased axle loads with the current axle load of 32.5 tonnes. While wheel and rail RCF and wear are predicted to increase with current wheel profiles, implementation of improved wheel profiles may reduce wear and RCF significantly. In addition, the importance of preventive grinding and lubrication is emphasised. Key wordsRail Wheel Interaction; Rolling Contact Fatigue; Rolling Stock Design; Simulation; Wear

For a number of relevant engineering problems, the stress field in elastic bodies under contact loads must be known. Studies on their failure have emphasized the effect of localised contact with friction that produces small zones undergoing high tensile stresses on the surface near the contact. The failure probability is related to global variables obtained by integrating spatial functions of the stresses on the domain of interest. An experimental analysis is necessary in order to validate the results obtained in numerical works or to extend the half space solution when considering the problem of the local stresses in a bar under contact loads between disks of the same material. This paper describes how the moire-interferometry technique can be applied in order to obtain the local displacement fields in contact problems with friction. KeywordsFriction; Moire; Displacement Fields

The effect of two new synthesized inhibitors on the corrosion of stainless steel 304 in 2.0 M H2SO4 were investigated using weight loss, potentiodynamic polarization, electrochemical impedance spectroscopy, atomic force microscopy and quantum methods. Polarization curves indicated that both the inhibitors acted as mixed type inhibitors. Adsorption of inhibitors followed the Langmuir adsorption isotherm, thus thermodynamic parameters of adsorption (Kads, o G D ) were calculated using Langmuir adsorption isotherm. The correlation between the inhibition efficiencies of the studied inhibitors and their molecular structures were investigated using quantum method. Moreover, some samples of stainless steel 304 were examined by atomic force microscopy.

Centrifugal pumps play a vital role in many critical applications and therefore continuous availability of such mechanical components become absolutely essential. This paper focuses on a problem of vibration-based condition monitoring and fault diagnosis of centrifugal pumps. The vibration based machine condition monitoring and fault diagnosis incorporate a number of machinery fault detection and diagnostic techniques. Many machinery fault diagnostic techniques utilize automatic signal classification in order to increase accuracy and reduce errors caused by subjective human judgment. This paper presented an adaptive network fuzzy inference system (ANFIS) to diagnose the fault type of the pump. The pump conditions to be considered were healthy, broken impeller, worn impeller, leakage and cavitation. These features are extracted from vibration signals using the FFT technique. The features were fed into an adaptive neurofuzzy inference system as input vectors. Performance of the system was validated by applying the testing data set to the trained ANFIS model. According to the result, total classification accuracy was 90.67%. This shows that the system has great potential to serve as an intelligent fault diagnosis system in real applications.