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
The Indian vehicle manufacturing industry along with child part and raw material industries are basking a healthy and increasing growth, in the last two decades. This shoot up has been noticed since the economic liberalization happened in early 1990's. Indian automotive market has grown from 5 million vehicles (2002) to 23.4 million vehicles (FY 2014-2015). nd th India is already on the 2 place in two-wheeler (2W) segment and on 4 place in Commercial Vehicles (CV). India is now poised to rank amongst the top three global automotive markets in all vehicles, by the year 2020. Observing such volatility in the present and future of the Indian auto market, it calls for an analysis of challenges and complexities of Supply Chain Management (SCM) practices that are catering to the industry, so that the trends will shape the futuristic supply chain management practices which can be given a try to predict and understand. This paper seeks to analyse the Indian auto market future trends and presents the status as well as futuristic view of complexities and challenges that affects the SCM practices. It is the best hope that this study will provide an understanding which will help in adopting good SCM practices in auto industry and lead to various competitive advantages.
With an increase in demand for high performance UAV (Unmanned Aerial Vehicles) for various demanding applications such as defense, search and rescue and weather monitoring, the design and production of the UAVs is of prime importance and with the UAVs comprising of many complex systems, the reliability of each system decides the reliability of the overall aircraft. One of the UAV’s critical components is its landing gear. High stiffness and lightweight are the main design criteria for the landing gear. Apart from the fatigue cycles, the propagation of crack in the landing gear structure due to the fatigue loading is also another important criterion for the design of the landing gear structure. This study is conducted using the Structural analysis available in ANSYS R15.0 using Mechanical APDL solver. In this paper, the authors have studied the effect of contours and crack length on variation of stress intensity factor for different modes and fatigue crack propagation rate. Static analysis is performed to locate the position of critical region. The variation of J Integral is studied for different contours along the crack front. The crack propagation rate was found to increase with the increase in crack length. The critical stress intensity factor is evaluated using modified Paris Law referred to as Forman Law.
The fossil fuel reserves are decreasing due to increase in consumption of diesel, hence there is a need to develop alternative fuel. Hydrogen is considered as one of the best alternative fuels for internal combustion engines because of unique combustion properties. For Compression Ignition (CI) engines, it is impossible to get hydrogen to its auto-ignition temperature by compression alone. Hence, an attempt is made using hydrogen as an air enriched medium with diesel as main fuel. Experiments are conducted to study the effect of piston geometry on the emission characteristics of diesel engine enriched with hydrogen at different flow rates such as 2 litres per minute ( lpm), 4 lpm and 6 lpm on four stroke single cylinder diesel engine at constant speed of 1500 rpm for different loads. Knocking tendency is observed for flow rates above 6 lpm at all loads due to raise in temperature and peak pressures with addition of hydrogen. The emissions for diesel engine enriched with hydrogen are reduced to 27.1%, 37.5% and 18.8% of Unburnt Hydro Carbons (UHC), Carbon Monoxide (CO) and smoke density respectively. However, there is 14.9% increase in Oxides of Nitrogen (NOx) emission due to high combustion temperatures by hydrogen induction. Further, the experiments are conducted with toroidal piston bowl geometry for different flow rates of hydrogen without change in compression ratio. The effect of this change on emission parameters is further reduced to 6.9%, 13.6%, 11.6% and 3% in UHC, CO, smoke density and NOx respectively.
Turning is one of the most widely used machining techniques. Predictions of important process variables of turning such as, cutting forces and stress distributions play significant role in designing turning process parameter and optimizing cutting conditions. The present work is focused on investigating the effect of process parameters on feed, cutting, thrust forces and prediction of forces in turning of AISI 4140 steel based on FEA method. Analysis of 3D unsteady state forces in a metal cutting process is carried out by using a Deform 3D FEA code. The cutting speed, feed and depth of cut were used as the process parameters and the cutting forces are measured and predicted. This project covers a study on modeling and simulation of cutting forces in turning of AISI 4140 steel using coated and uncoated tungsten carbide cutting tool by finite element technique and finally with experimental results. The FEA is used to analyze cutting forces, stress and strain in turning. The simulation results are compared with those of the experimental results and found that both results are in close agreement with each other.
Fuse Deposition Modeling (FDM) is one of the most widely used Rapid Prototyping (RP) technology in market which uses additive manufacturing technic. FDM is not only known for the good mechanical property of its build model but a defame for producing poor surface quality parts compared to other available technologies. The need to ensure that the build part has a good surface quality thus exists. In this paper, the authors concluded the different process parameters and their effects on surface roughness from past studies. Most common parameters used to optimize the surface quality are layer thickness, raster width, air gap, raster angle and orientation. But there are few more parameters which they can use to control the quality of surface. Some of them are humidity, build envelope's temperature and multi-contouring and build style. So, a few pilot experiments were conducted for checking the feasibility of some rarely used process parameters, which are build style and multi-contouring, as optimization parameters for surface roughness. Their results of these experiments show that for the future experiment, they can consider as one of the parameter for building part with a good surface quality. Based on this study, they can use different approaches to achieve their motive to improve quality of build part in FDM machine with a good surface quality.
