Mechanization and Import Substitution in Zimbabwean Farmers' Equipment: A Case Study of the Revitalization of an Abandoned Tractor Trailer
Drill String Vibrational Analysis and Parametric Optimization for a Portable Water Well Rig Development
An Efficient Deep Neural Network with Amplifying Sine Unit for Nonlinear Oscillatory Systems
The Occupational Directness of Nanorobots in Medical Surgeries
Recent Trends in Solar Thermal Cooling Technologies
Design of Oil-Ammonia Separator for Refrigeration Systems
A Review on Mechanical and Tribological Characteristics of Hybrid Composites
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
Over the last few years, the ability of a conventional bearing has gradually declined to survive in the era of modern advanced engines, as they are not able to cope-up with high speed requirements, high operating temperature range, etc. In some turbine engines, bearing temperatures are expected to exceed the capabilities of conventional liquid lubricant completely. This has lead to the development of new concepts in bearing technology, resulting in developmental efforts related to other bearings like Spiral Journal Bearings. This paper portrays the determination of amplitude, velocity and acceleration as the response parameters for vibration analysis of a rotating rotor-bearing assembly. The successive points in a long time history of the rotor-bearing motion during a transient vibration period have been identified. The calculation of the vibrations and the forces acting is not straightforward because these equations of motion of the system contain non-linear terms. Initially, the most influential parameters are identified. A supervised multilayer neural network model is then trained and tested with the input and output data using the back-propagation algorithm. The response characteristics are derived as the outputs of the Neural Network for different conditions of bearing parameters. The experimental and the simulated results are then compared.
This paper reports on the feasibility of steering system by using, rack and pinion mechanism. In the present era, handling features of an All-Terrain Vehicle (ATV) has become a major aspect. The authors intention is to provide comfort to the driver by reducing steering effort and improve the steerability and handling characteristics of the vehicle. This steering system converts the rotational motion of the ATV into the linear motion to turn the wheels. The steering system design influences the directional response behavior of a vehicle. The steering system plays a vital role in maneuvering the vehicles and they also provide good ergonomics to the driver. Since the steering system is directly controlled by the driver, it is essential to take human comfort into consideration while designing the steering. The vehicle must be able to withstand the rough environment of the off-roads and recreational driving, so it may sustain the traverse over large rocks, downed logs, jumps, mud holes, steep inclines and sharp turns.
Demand planning is an integral part of any planning process. Accurate forecasts help firms effectively plan the production process so that inventory levels in the supply chain can be optimized and supply can be matched closely with demand. Demand planning can also help the marketing department of a firm to decide upon the kind of promotional exercises required for a particular product. Planning accurately leads to better distribution planning as well. Since firms can determine the exact levels of inventory to be held at each distribution center. In this paper, an attempt was made to forecast the demand of Automotive Batteries. Three different methods of forecast have been used. After applying those methods, finally the mean square error was minimized and the optimum weights to the forecasts was assigned by the different methods and the resultant forecast combining all the forecasts was found out. A suitable tool for the optimization was chosen. Here, Genetic Algorithms have been chosen for obtaining optimal weights that are assigned to forecast methods to generate a model of the forecast with minimum mean square error. An extensive computational experience has been reported. The proposed methodology has been put into use in the firm for better forecast of the demand.
This exploratory study portrays the impact of expansion of Biodiesel in little amounts on the execution and outflow attributes of a diesel motor. A diesel motor is a pressure ignition sort IC motor, which utilizes the warmth of packed air to start ignition to smolder the fuel. The ignition in diesel motor is heterogeneous in nature. Diesel motors for the most part have high thermal proficiency, however, more outflow than other SI motors. In this way, the primary concern is to lessen the toxicity from the fumes. Significant poisons in fumes of diesel motor are residue, HC, NOx, CO and SOx. Because of the heterogeneous way of ignition, the ash arrangement is huge in a diesel motor contrast with SI motor. Accordingly, the point of this work is to concentrate on the Biodiesel as a fuel added substance to the diesel and its impact on execution and outflow characteristics. The investigation of diesel motor has been finished by utilizing the mixes of biodiesel with diesel fuel at the rate of 5%, 10%, and 15% . It is found that (10%SB+15%JB+75%D ) biodiesel with diesel is suitable to use as a substitute fuel at the diesel motor as its fuel utilization rate, Brake Specific Fuel Consumption and Brake Thermal Efficiency is near to that of traditional diesel fuel.
Jig grinding is a process practically used by tool and die makers in the creation of jigs or mating holes and pegs on dies. The abrasives normally used in jig grinding are divided into Natural Abrasives and Artificial Abrasives. Artificial Abrasives are preferred in manufacturing of grinding wheels in jig grinding, because of their uniformity and purity. In this paper, a brief review of the analysis of jig grinding process considering various research trends is presented. The areas highlighted are: optimization, selection of abrasives, selection of processing conditions and practical considerations. The optimization of parameters in jig grinding process is important to maximize productivity and to improve quality. The abrasives of hard jig grinding wheels get blunt quickly so these are recommended to grind the workpiece of low hardness and soft grinding wheels are recommended for hard material workpieces. The jig grinding is also classified into rough grinding and precision grinding, based on the processing conditions. The jig grinding process is also adapted for a variety of practical applications and different materials.
