Papers by Edwin Raja Dhas
Opposition based genetic optimization algorithm with Cauchy mutation for job shop scheduling problem
Materials Today: Proceedings
Metal Inert Gas welding has been applied in manufacturing industries for more than fifteen<br&... more Metal Inert Gas welding has been applied in manufacturing industries for more than fifteen<br> years. Experiments are conducted using RSM design. The weld parameters considered in this<br> study are welding current, gas flow rate, wire feed speed and nozzle gun inside diameter with<br> hardness as response. The weld parameters are optimized for better hardness using grey<br> based Taguchi method.
Now day’s natural fibres as reinforcement have received more attention from the research communit... more Now day’s natural fibres as reinforcement have received more attention from the research community all over the world in preparing polymer composites. These natural fibres have lot of advantages over synthetic fibres. In this paper two natural fibers palm and coir reinforced composites were fabricated using compression moulding method which was a new effort and was not done elsewhere. Specimens were cut from the fabricated composite plates according to the ASTM standards. Universal Testing Machine was used for testing tensile and flexural strength of the composites. The impact strength of the composites was analyzed using Impact tester. Further wear and moisture absorption tests were also conducted on the prepared specimen. The results obtained through experimentation of both composites were compared and presented. It can be concluded that the developed palm based composite possess superior property and can be recommended for fabrication of light weight high strength automobile parts.
Mechanical Characterization on Woven Bidirectional Natural Fiber Reinforced Polymer Composites
Natural fibers play a vital role in material technology as a renewable source. The natural fibers... more Natural fibers play a vital role in material technology as a renewable source. The natural fibers were found to posses better properties when compared to other materials. Mostly unidirectional fibers were used in the recent past. These unidirectional fibers were replaced by bidirectional natural fibers. These bidirectional fibers tend to posses better mechanical properties when compared to unidirectional fibers. This literature paper explores the history of different natural fibers woven in bidirectional with applications. This paper focuses the anatomical segmentation of various properties of bidirectional natural fibers (jute, hemp, bamboo and sisal) and its applications to substitute glass fiber.
Characterization, wear surface roughness and tensile failure analysis of Al7075-TiC-MoS2 hybrid composites using online acoustic emission
Materials Research Express, 2019
In this paper Al7075-TiC-MoS2 hybrid composites were prepared through stir-casting process and th... more In this paper Al7075-TiC-MoS2 hybrid composites were prepared through stir-casting process and their microstructure, mechanical and tribological properties are analyzed. Aluminium 7075 was selected as matrix and reinforced with harder TiC to improve the mechanical strength and softer MoS2 to enhance the resistance to wear. The prepared samples were tested for their hardness, microstructure, XRD analysis, tensile strength through acoustic emission and wear surface roughness behaviour. All prepared composites exhibited an improvement in hardness; tensile strength and wear resistance through acoustic emission were investigated. It was observed that reinforcement was uniformly distributed across the matrix material which was attributed through continuous stirring. The surface morphology analysed through micro structural analysis revealed that the reinforcement was uniformly distributed in the matrix. The wear resistance was significantly improved with the MoS2 addition which acted as a lubricant in-between the sliding surfaces. Thus it is concluded that the hybrid composites exhibits good tensile strength, hardness and wear resistance properties. An Acoustic emission system was employed in all the tests to monitor the acoustic energy release during the whole deformation process and some useful conclusions were drawn.
Advances in Materials Science and Engineering: An International Journal (MSEJ), 2015
The selection of proper material for each application is a critical part in every manufacturing i... more The selection of proper material for each application is a critical part in every manufacturing industry. In the field of aerospace and automobile the major requirement is light weight yet strong material which can possess every aspect of design parameters. Magnesium alloy one of the major raw material used in these industries due to its light weight, good thermal conductivity etc. Also Friction stir welding is the joining process that is being used in these industries as it is a solid state joining process. This paper gives a detailed review about Friction Stir welding of Mg alloys. The review period is considered from 2009 to 2015.A detailed review about Friction stir welding of Mg alloys has not been done before in this manner. This review work may be a ready reference for subsequent researchers.
Location selection- An Intergrated PSO with fuzzy clustering approach
Journal of Engineering and Technological Sciences, 2013
The modern food industry and tolerant starch as raw material from preparation to storage starch u... more The modern food industry and tolerant starch as raw material from preparation to storage starch using hydroxypropylation the lack of native arrowroot starch modifications applied were sodium tri meta phosphate/STMP (1 phosphate/STPP (4%, 5% the composition of the amylose and amylopectin and in the granules. Higher amount content, which increased link. Arrowroot starch that propylene oxide and 1-2% STMP phosphorus content. A h higher degree of hydroxypropyl. modified granular arrowroot starch changed crystalline patterns through X provision of a high concentration of propylene oxide STMP : 6% STPP affected
Procedia Engineering, 2012
International Journal of Industrial and Systems Engineering, 2012
Welding is the most common manufacturing process. The quality of weld is a very important working... more Welding is the most common manufacturing process. The quality of weld is a very important working aspect for the manufacturing and construction industries. Because of high quality and reliability, submerged arc welding (SAW) is one of the chief metal joining processes employed in industry. Quality of weld mainly depends on the mechanical properties of the weld, which in turn relays on the interaction of the weld parameters. This paper discusses the multi-response optimisation of weld parameters using grey-based Taguchi method. Experiments are conducted using Taguchi's L 9 orthogonal array. The weld parameters are welding current, welding speed and arc voltage with bead hardness and material deposition rate as responses. Taguchi's signalto-noise (S/N) ratio is computed based on their performance characteristics. Grey relation grade is obtained using S/N ratio values of responses. Based on grey relational grade, optimum levels of parameters have been identified. The significant contributions are estimated using analysis of variance. Confirmation test is conducted to validate the proposed method. This evaluation procedure can be used in decision-making to select process parameters for a welding operator. The proposed and developed method has good accuracy and competency enhancing automation and robotisation.
International Journal of Enterprise Network Management, 2010
To meet the global competition and the survival of products in the market a new way of thinking i... more To meet the global competition and the survival of products in the market a new way of thinking is necessary in order to change and improve the existing technology and to develop products at economical price. Optimisation of the welding process parameters depends upon the ability to measure and control the process variables involved in the welding process. The scope of the paper is to model and optimise the parameters of submerged arc welding (SAW) using particle swarm optimisation technique. The model is developed in the MATLAB platform, which is highly reliable, adaptable and user friendly.
Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools
Applied Soft Computing, 2013
Decision-making process in manufacturing environment is increasingly difficult due to the rapid c... more Decision-making process in manufacturing environment is increasingly difficult due to the rapid changes in design and demand of quality products. To make decision making process (selection of machining parameters) online, effective and efficient artificial intelligent tools like neural networks are being attempted. This paper proposes the development of neural network models for prediction of machining parameters in CNC turning process. Experiments are designed based on Taguchi's Design of Experiments (DoE) and conducted with cutting speed, feed rate, depth of cut and nose radius as the process parameters and surface roughness and power consumption as objectives. Results from experiments are used to train the developed neuro based hybrid models. Among the developed models, performance of neural network model trained with particle swarm optimization model is superior in terms of computational speed and accuracy. Developed models are validated and reported. Signal-to-noise (S/N) ratios of responses are calculated to identify the influences of process parameters using analysis of variance (ANOVA) analysis. The developed model can be used in automotive industries for deciding the machining parameters to attain quality with minimum power consumption and hence maximum productivity.
Applied Soft Computing, 2014
Welding is an efficient reliable metal joining process in which the coalescence of metals is achi... more Welding is an efficient reliable metal joining process in which the coalescence of metals is achieved by fusion. Localized heating during welding, followed by rapid cooling, induce residual stresses in the weld and in the base metal. Determination of magnitude and distribution of welding residual stresses is essential and important. Data sets from finite element method (FEM) model are used to train the developed neural network model trained with genetic algorithm and particle swarm optimization (NN-GA-PSO model). The performance of the developed NN-GA-PSO model is compared neural network model trained with genetic algorithm (NN-GA) and neural network model trained with particle swarm optimization (NN-PSO) model. Among the developed models, performance of NN-GA-PSO model is superior in terms of computational speed and accuracy. Confirmatory experiments are performed using X-ray diffraction method to confirm the accuracy of the developed models. These developed models can be used to set the initial weld process parameters in shop floor welding environment.
Manufacturing process is the steps or procedures followed, to convert the raw materials to finish... more Manufacturing process is the steps or procedures followed, to convert the raw materials to finished products. Among the three types of manufacturing process via, metal forming process, metal joining process and metal removing process, drilling is one of the major metal removing operations widely used in all fabrication industries. They employ conventional drilling machines to serve the purpose. If conventional drilling machines are used as such many holes cannot be drilled simultaneously at a time. To overcome this difficult and to reduce the operation time of drilling, additionally multiple drill bit is modeled is designed, fabricated and is attached to the ordinary conventional drilling machine. A case study is done to validate the fabricated assembly in this work. Pro- E software is also employed to model the multiple drill bit assembly. It is found that this method is found to be cost effective and consumes less time, than the traditional procedure.
Forecasting of machining quality using predictive neural networks
2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2015
Cylindrical grinding is one of the metal finishing process widely used in all manufacturing indus... more Cylindrical grinding is one of the metal finishing process widely used in all manufacturing industries. Surface finish is the vital output measure in the grinding process with respect to productivity and quality. This paper proposes an efficient technique Artificial Neural Network to predict the process parameters (wheel speed, hardness of material and depth of cut) in the grinding process for a given set of machining parameters. Experiments are designed according to response surface method. Different sets of data from the response surface model are utilized to train the developed network. The trained network is applied to predict the quality grinding. The proposed ANN is developed using MATLAB platform. The proposed method is cost effective, reliable and better than existing models and scopes virtual automation.
Parameter optimisation of a fibre reinforced polymer composite by RSM design matrix
International Journal of Computer Aided Engineering and Technology, 2021
Polymer composites fabricated from natural fibres gained popularity since they possess numerous a... more Polymer composites fabricated from natural fibres gained popularity since they possess numerous advantages in automotives. But natural fibres suffer from lower strength which can be overcome through hybridisation with stronger synthetic fibres like carbon or glass. This work explores the potential reinforcement of fibres from palm leaf stalks for fabricating polymer composites. The fibres were pre-treated with glass fibres to form as fibre mats and hybridised with glass fibres prior to reinforcement. These mats were reinforced in the polyester resin matrix as different layers to form a hybrid composite. Experiments were done by varying the length of fibre, fibre volume and with different treatments using response surface methodology. Tensile strength was measured as response. The tensile strength was spotted maximum in 8% potassium permanganate (KMnO4) treated palm fibres with optimum fibre length 40 mm and volume fraction of 20%. The surface study on these composites through scanning electron microscope (SEM) examination was satisfactory. Hence this specimen combination was best suited and recommended to manufacture components like car bonnets, bumpers, etc.
The demand for newer materials having prominent properties is increasing day by day. Automobile &... more The demand for newer materials having prominent properties is increasing day by day. Automobile & Aerospace fields do play an important role as far as material selection is concerned. The most commonly used material in these fields is Aluminium.Though it possess all the properties up to some extent constant demand is pushing for alternate materials. Magnesium alloys are a perfect replacement for Aluminium alloys owing to its reliable properties. Friction stir welding is a relatively new technique of solid state welding in which the materials are joined together before reaching their melting point. A combination of Al and Mg alloy is a big leap in Automobile sector. In this paper a detailed review of Friction stir welding of Magnesium alloys has been done. This work will serve as a reference to subsequent researchers. Keywords— Friction stir welding, Magnesium alloy, Process parameter.
Composite plays a vital role in material science especially in the field of aerospace, marine, au... more Composite plays a vital role in material science especially in the field of aerospace, marine, automobile, military and structural applications. It consists of two or more physically and chemically distinct phases. The composite has hybrid characteristics than those of individual components. Metal Matrix Composites (MMC) is those which are based on metals as matrix. Usually the reinforcing component is distributed in the continuous or matrix component. MMC focuses mainly on a relatively high strength and wear resistance applications. Aluminium Matrix Composites (AMC) is one in which Aluminium is the matrix and it has the property of high strength to weight ratio. The purpose of the work is to process and to determine the mechanical properties of AA2219-TiCp.Aluminum Matrix reinforced with TiCp composite was produced using modified stir casting process. Five different weight % of TiCp addition were performed without defects. The weight fractions used were 3%, 4%, 5%, 6%, 7%. The colo...
There has been a great increase in the number of automatic and semi-automatic processes designed ... more There has been a great increase in the number of automatic and semi-automatic processes designed to speed up welding production. Submerged Arc Welding (SAW) is often the method of choice in pressure vessel fabrication. This process features high production rates, welding energy and/or welding speed and requires minimal operator skill. The selection of appropriate parameters in SAW is essential, not only to optimize the welding process in order to maintain the highest level of productivity, but also to obtain the most desirable mechanical properties of the weld. This paper explores the development of Probabilistic Neural Network (PNN) model for weld quality prediction. Experiments were designed and conducted by Taguchi’s design of experiments. Results from the PNN model are compared with the Neural Network model trained with Back Propagation (BPNN) algorithm in terms of computational speed and accuracy. The performance of PNN is better than BPNN model and is reasonably more accurate....
International Journal of Advanced Technology and Engineering Exploration, 2021
Inconel 718 alloy is a chromium-titanium-nickelbased austenitic alloy with increased strength and... more Inconel 718 alloy is a chromium-titanium-nickelbased austenitic alloy with increased strength and better resistance to carburization and oxidation at increased temperatures. This is an important and efficient alloy material for the power plants of next generation [1]. These alloys can be used in sea water, power plant applications with temperature ranges up to 900ºC. The combination of resistance and the improved mechanical property makes this alloy useful in case of various applications, such as exposure of long-term and higher temperatures in corrosive area. High temperature tubes of heat exchanger in gascooled nuclear reactors and super heater tubes are the other applications of Inconel 718 alloy [2]. In addition, EBW process is a metal fabrication technique in the presence of multi-factors and multi-objectives. *Author for correspondence This connection of normal metals, like aluminium, steel, and magnesium of 1mm to 6mm thickness in almost all positions can be done using this process [3]. The weld joint quality highly depends on the parameters of the input process and the control of this input process parameter acts as a basic problem to the manufacturer in obtaining increased weld quality in welded joint [4]. Highly skilled engineers or operators select the parameters depending on trial and error method in order to produce a welded joint with necessary indications, but the selection of parameters using this method was time consuming [5]. The welds are utilized to find, whether they are suitable to meet the all the required specification [6]. Many researchers have studied the effect of mechanical properties of Inconel-718 alloy material and few authors published about fabrication, solidification and characterization of these alloys. It is understood that there is lack of papers on the effect of electron beam welding parameters and with their responses of bead width and depth of penetration with quality optimization.
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Papers by Edwin Raja Dhas