CFD Analysis and Aerodynamic Effects of Add-On Devices on an Audi TT Vehicle Model
Dynamic Response Analysis of Linear Motion Stage with Track Roller Guides
Design and Development of Manual and Voice Assisted Turn Indicator for Automobiles
Vehicle Health Inspection with Enhanced Auto Diagnostics and Maintenance
Dynamic Response Characteristics of Linear Translation Stage: A Review
A Review on Mechanical and Tribological Characteristics of Hybrid Composites
Design of Oil-Ammonia Separator for Refrigeration Systems
Design and Experimental Investigation of a Natural Draft Improved Biomass Cookstove
Progressive Development of Various Production and Refining Process of Biodiesel
Optimization of Wire-ED Turning Process Parameters by Taguchi-Grey Relational Analysis
Evaluation Of Mechanical Behavior Of Al-Alloy/SiC Metal Matrix Composites With Respect To Their Constituents Using Taguchi Techniques
Multistage Extractive Desulfurization of Liquid Fuel by Ionic Liquids
Isomorphism Identification of Compound Kinematic Chain and Their Mechanism
Development of Electroplating Setup for Plating Abs Plastics
A Comprehensive Review of Biodiesel Application in IDI Engines with Property Improving Additives
The customary edged tool for machining is uneconomical for harder and hard to machine materials and furthermore the level of surface finish accomplished is not that great. As of late, a lot of consideration in mechanical engineering has been centered on finishing tasks. Not many investigations have been accounted for till date on the advancement of substitute magnetic abrasives. In this paper, to improve the finishing performance, the magnetic abrasives were prepared by mechanical alloying of diamond powder and iron (Fe) powder, compacting these with Universal Testing Machine (UTM) and then sintered at different temperature in a sintering machine in an inert gas (H2) atmosphere. These compacts were crushed and sieved to obtain various sizes of magnetic abrasives. These magnetic abrasives were micro-structurally examined. The results indicate that the densification increases and porosity decreases with increasing temperature. Moreover, the prepared bonded magnetic abrasives has potential performance as a new magnetic abrasives for fine finishing in Magnetic Abrasive Flow Machining (MAFM) process.
Thin film coatings have become an intensively research area for applications related to solar, sensor technologies, and some of the optical applications. The deposition of metallic thin films is mainly carried through DC magnetron sputtering process. The deposition of metallic thin films mainly depends of the process parameters, such as RF power, DC power, and Argon gas flow rate. To obtain the effects of process parameters, L orthogonal array are used. 410- Solar Visible / NIR 9 Spectrophotometer are used to estimate solar absorptance, reflectance, and mirror assessment. These are typical test methods for the measuring solar absorptance, solar reflectance, and transmittance of materials. 410-Solar measures reflectance ta seven sub-bands in 300-2500 nm spectral regions. ET 100 emissometer measures directional reflectance at six bands in the thermal infrared spectral region at two incident angles 20o and 60o. Hence, Nano structured thin films are exhaustively used in the area of solar selective coatings.
In this study, a fifteen number of specimens is fabricated by polymers with filler material multi-walled carbon nanotubes (MWCNTs) for proposed percentages and for three different orientations of glass fibre. Morphological examination is carried by Scanning Electron Microscopy. The mechanical and thermal properties of the laminates is characterized by tensile, flexural, hardness, and thermogravimetric analysis. Results reveal that the mechanical properties are improved by reinforcing the filler material up to the low percentage due to the uniform distribution in matrix materials. The thermal analysis demonstrate that the increase in MWCNTs, results in an increase in the thermal stability of composites up to 3% due to the strong chemical linkage between the CNTs and the matrix material. On further reinforcement of CNTs, the thermal stability decreases due to formation of aggregation of CNTs. By comparing experimental data and statistical data of mechanical and thermal behaviour, no disparity was observed.
In this paper, developing a reliable mathematical model for cooling efficiency representing machining conditions of a particular work-tool combination, using near dry lubrication. of solid–liquid in various proportions is used, keeping in view environmentally conscious manufacturing. The range of each machining parameter were selected at three different levels, like low, middle, and high based on industrial application. Five controllable parameters during the machining of alloy steel have been studied. Statistical design of experiment (DOE) technique is used in this research work for getting accurate and scientific results during machining of alloy steel. Factorial design with eight added centre points (25 + 8) is a composite design used in this research paper. The relationship between the cooling efficiency and cutting conditions were analyzed. In the development of predictive model, cutting conditions and tool geometry (tool nose radius) and various proportions of solid –liquid lubricant were considered as model variables and cooling efficiency considered as response variable. Using the experimental data of cooling efficiency, a regression analysis with logarithmic transformation correlation model has been developed to predict the cooling efficiency during machining of alloy steel. The experimental data collected during machining analyzed by statistically through analysis of variance technique. Rotating vector operator process (ROVOP) optimization method is used for optimization of machining parameters.
Scheduling plays a vital role in various industries especially in auto industries, where job and machine should be arranged in an appropriate sequence for effective outcome. To pursue this type of sequence manually takes a long time and is complex to compute. This urges to incorporate optimization techniques to predict the optimal job and machine sequence. This research incorporates five different sizes of Bench Mark (BM) Job Shop Scheduling Problems (JSSP). These problems intent to solve with the aid of Teaching–Learning Based Optimization (TLBO), Greedy Randomized Adaptive Search Procedure (GRASP), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Artificial Fish Swarm Optimization (AFSO). The investigation reveals the superiority of proposed AFSO over other comparative techniques in all performance evaluations.
The main obstacle in biodiesel used in internal combustion engine is oxidation instability due to presence of unexpected high unsaturation and it produces adverse effects like sludge formation, rise in acid value, etc. These effects cause engine problems like fuel filter blockage, choking of injector, which causes misfiring or hard starting, deposition in injector pump, etc. To solve these problems, antioxidants are mixed to increase the oxidation stability of biodiesel. Hence, the study aimed to review the work done by various researchers and study the effect of various antioxidants on oxidation stability, methods used to determine the oxidation stability, and factors affecting engine performance of biodiesel (vegetable oils or animal fats, etc), so that this manuscript could become the torchbearer for the futuristic researchers working in the domain of biodiesel production. From the literature review it is noticed that for most of the biodiesel samples, Propyl gallate is the best antioxidant. In addition, the analysis of the IR spectra is an economical, efficient, simple, fast and non-destructive technique to determine the oxidation stability of biodiesel.