13 research outputs found
Mechanical and tribological characterization nitrided Al-7075/Al2O3 metal matrix composites
This research is mainly intended to evaluate the effect of nitriding on
the wear behaviour of Al2O3 reinforced aluminium-7075 metal matrix composite materials. The composites were prepared by using powder metallurgy process. The amount of Al2O3 in these composites was varied from 3% to 7% (by weight) in steps of 2%. Homogeneously mixed powder by using double cone mixture was compacted using hydraulic press with 60KN of load. The compaction load was optimized to get a equal density as base specimens,then the compacted specimens were sintered at 5400 C which is 80% of melting temperature aluminium base alloy. The sintered materials were nitrided with a temperature of 520°C for 72hrs. Two different set of specimens, namely, nitrided composites and non-nitrided composites specimens were tested for their wear resistance and hardness properties. Pin-on-disc equipment was used for wear testing and microhardness testing machine was used for hardness testing. Elemental X-Ray Diffraction technique (XRD) was used to ensure the diffusion of nitrogen to the surface of composites. After all the standard tests it was observed that the nitrided composites have shown better wear resistance than the non-nitrided composite
Application of response surface methodology for parameter optimization of aluminum 7075 thixoforming feedstock billet production
This paper aims to present the experimental work to formulate optimum processing parameters of the direct thermal method (DTM) using response surface methodology (RSM) for high-quality feedstock billet production. The DTM is one of the techniques which is used to produce aluminum 7075 alloy feedstock billets with globular microstructures for thixoforming operations. Based on the central composite design (CCD) techniques, 13 experiments were performed using two factors and levels. Pouring temperature parameters in CCD varied from 645 to 685 °C, with holding times ranging from 20 to 60 s. The size of the microstructures of the produced feedstock billets was measured, and the different parameter combinations were analyzed in detail by RSM. Moreover, the distribution of elements and the impact of primary and secondary phases on microstructures were examined by scanning electron microscopy (SEM)). Statistical analysis showed that R2 values of circularity and aspect ratio were 0.96 and 0.97 and meanwhile probability values (pââp-value) at 95% confidence level, with an acceptable error percentage. RSM results showed that a pouring temperature of 665 °C and a holding time of 60 s produced the optimum globular microstructure. The grain diameter, circularity, and aspect ratio values were 61.12 ”m, 0.707, and 1.44, respectively. Moreover, the predicted and experimental values are in good agreement. These experimental results that used the RSM explained the effects of the various combination parameters in detail using a limited number of experiments and have successfully identified the optimum parameters
Cloud computing: survey on energy efficiency
International audienceCloud computing is todayâs most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions
Optimization of Output Responses during EDM of AZ91 Magnesium Alloy using Grey Relational Analysis and TOPSIS
Unconventional machining of magnesium alloys through die sinking and Wire electrical discharge Machining (WEDM) processes are preferred over conventional machining processes to overcome the rapid loss in strength and affinity that occurs with tool materials at high temperatures. in the present study, AZ91 magnesium alloy is machined in EDM using a prepared alloy tool (copper alloyed with titanium diboride). Based on Taguchiâs l27 orthogonal array, a total of 27 experiments have been conducted by varying the process parameters such as pulse on time (Ton), gap voltage (Vg) and current (Ip) with three different levels. Techniques for Order Preference by Similarity to ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) have been applied to optimize the response parameters of EDM to obtain maximum Material Removal Rate (MRR) and minimum Tool Wear Rate (TWR) and Surface Roughness (SR). Analysis of variance (ANOVA) is carried out based on F-test at a confidence interval of 95% to confirm the significant influence of individual parameters. From the above two optimization techniques, the obtained optimal values are current 15 A, gap voltage 55 V, pulse on time 30 ÎŒs and an error of less than 5% is observed from the confirmation experiments. Scanning Electron Microscope (SEM) images revealed that there is no formation of cracks but micro pits and holes are observed
Dry Sliding Friction and Wear Behaviour of Leaded Tin bronze for Bearing and Bushing Application
Among different bearing materials, copper-based alloys are the most important source for bearing and bushing applications. In this work, the tribological behavior of a leaded tin bronze (Cu-22Pb-4Sn) against an EN31 Steel for various loads (20 N, 70 N, 120 N) and different sliding velocity (1 m/s, 3 m/s, 5 m/s) at 3000 m sliding distance is performed using a pin on disk tribometer. Irrespective of all loads and sliding velocity, a higher specific wear rate is observed at 1 m/s and 120 n that fails to facilitate the formation of lubricating film, whereas a lower specific wear rate is evident when the sliding velocity is increased to 5 m/s. This is attributed to the formation of a stable oxide layer that has been confirmed through the energy dispersive X-ray spectroscopy analysis and scanning electron microscopy. The coefficient of friction is observed in reducing trend from 0.69 to 0.48 for the increasing load (70 N, 120 N) and sliding velocity (3 m/s and 5 m/s) due to stable thin oxide film formation. Also, the increase in frictional force and loading the interacting surface temperature is increased to a maximum of 102°C. The grey relational analysis indicates that the optimal parameters for the minimum specific wear rate and coefficient of friction is 120 N and 5 m/s that has been confirmed with experimental analysis
Effect of surface parameters on finite element method based deterministic Gaussian rough surface contact model
Comparative Contact Analysis Study of Finite Element Method Based Deterministic, Simplified Multi-Asperity and Modified Statistical Contact Models
Robotic cane for the visually impaired
Currently, there is a growing public interest in improving the quality of life of people with disabilities, being the visual limitation one of them, where different research projects have been developed. Assistance robotics is a branch dedicated to the support in mobility and rehabilitation of people with visual disabilities and other limitations. This work describes the construction and use of a robotic cane to assist people with visual problems. The robot structure is generated by 3D printing, and the electronic system has been designed based on Arduino technology. The robot features include a sensor distance to detect possible collisions, a GPS to track its movements, and two DC motors in caterpillar-like configuration for cane mobility. In addition, the robot has connectivity with mobile devices through Bluetooth communication, where the mobile application coordinates the movements of the robot in two ways, manual and autonomous, allowing to reach the desired location and sending the userâs location to the web. This proposal is tested in a structured environment so that patients cast their perspective through a usability test and their characteristics are examined through the analysis of an expert. © Springer Nature Switzerland AG 2020