Biodiesels are known as ecofriendly and biodegradable fuels. The unique properties in Biodiesel like high Cetane number and excess molecular oxygen helps the combustion complete with regulated emission. To mitigate the challenges of diesel engine exhaust emissions like NOx, HC, CO, CO2, PM and Smoke, biodiesel from different feed stocks of animal and plant oils are used. It has already proved experimentally that biodiesel can be used as an alternative fuel without changing the basic design of the existing engines. Despite of their advantages their practical application was limited to experimental stage this is due to the fact its high production cost. In this research an attempt was made to reduce the initial raw oil cost by utilizing the low cost feed stock of used cooking oil which was available at free of cost. In order to maximize the biodiesel yield advanced optimization techniques of Taguchi and Definitive screening design was adopted.
The aim of this research is to predict and optimize laser welding of some economically important dissimilar materials in industry through applying a Taguchi orthogonal array design as a DOE approach to design the experiments, develop mathematical models and optimize the welding operation. This was achieved by controlling selected welding parameters, laser power, welding speed and focus position, to relate the mechanical properties, weld bead geometry, principal residual stress and unit operating cost to the selected input welding parameters. The dissimilar materials studied in this work are low carbon steel, 316 stainless steel, titanium G2, different types of aluminium alloys such as (6082, 5251H22 and 1050H24) with different thicknesses and different joint designs. For each dissimilar welded material, mathematical models were developed to predict the required responses. Moreover, the main effects and the interactions effects of the process parameters on the responses were discussed and presented graphically for all dissimilar materials and joint designs. Furthermore, the developed models were optimized by determining the best combinations of input process paramete
The heat exchanger is major element as far as heat transfer and energy conservation is concern. There are so many types of heat exchangers available but due to wide range of design possibilities, simple manufacturing, low maintenance cost, cross flow and counter flow heat exchanger extensively used in petroleum, petrochemical , air conditioning, food storage and other industries. The shell and tube heat exchanger is widely used in industries as a chiller plant for transfer waste heat from the injection molding machine to the cooling water for improve the efficiency of the injection molding machine. The transformations of the waste heat from the injection molding machine to the cooling water are dependent on the heat exchange capacity of heat exchangers. To increase the heat exchange capacity of heat exchanger optimization is done which seeks to identify the best parameter combination of heat exchangers. Nine models are made on the basis of taguchi method in NX 10.00 and CFX analysis is carried out in ANSYS 14.5. Result obtained from that gives the best dimension of heat exchanger for minimum outlet temperature of water.
Taguchi method is the optimization technique used for design and development of the product quality at low cost. Classical process parameter design is complex and calls for enormous resources. Taguchi method has shown to be efficient method in understanding the effects of number of factors simultaneously. Research work applying Taguchi method on castings and fusion welding processes has been reported in literature. Optimization of process parameters using this method for AISI 4140 and AISI 304 dissimilar joints by friction welding process hitherto is not reported and hence the present work assumes significance. In this work influence of friction welding parameters on dissimilar metal joints between AISI 304 grade austenitic stainless steel and AISI 4140 grade low alloy steel was investigated. Friction force, forge force and burn-off were considered for optimization. The contribution of these parameters on quality characters like plain tensile strength, notch tensile strength, Charpy V notch impact toughness, microhardness and pitting corrosion were evaluated by performing Analysis of Variance (ANOVA).
The exhaust emissions from diesel engines are increasing at a faster rate. To mitigate the challenge alternative fuels especially biodiesel is gaining importance. In general edible or non-edible oils are used for production of biodiesels. In this endeavor the main objective is to produce biodiesel from waste cooking oil which is available abundantly for low or even free of cost. In order to improve the biodiesel yield Taguchi based optimization technique is used. Total of 9 experiments were conducted and 92.17% biodiesel yield is achieved. From analysis of variance (ANOVA) the influence factor is identified and coefficient of determination is 99.59% which shows that the chosen model is highly accurate. Artificial intelligent techniques are also used to revalidate the Taguchi results.
Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines.