Papers by Keyword: Taguchi Method

Abstract: Mismatches between model and plant can degrade the controller performance. Detection and correction of model parameters are required to prevent re-identification process of the whole plant. This paper proposes a method to automatically detect and correct model gain mismatch in the case of Wood-Berry column. Taguchi experiments are initially carried out to identify the most significant model gains. A set of variables called the linear residual-input ratio (LRIR) are developed to detect changes in the plant gains thus correcting the gains to bring the process to the desired setpoint. The proposed method is able to correct the mismatches in magnitude for individual and multiple gains within the range of the linear equations.

Abstract: Glass fiber reinforced polymers (GFRP) have been used in variety of engineering applications, owing its corrosive resistance property. Machining of GFRP material is difficult to carry out due to the non homogenous structure of material. Optimization of parameters is essential for achieve the quality of product. In this paper, Turning parameter optimization is studied for machining GFRP under dry conditions using coated tool. Single response optimization is performed by Taguchi method.

Abstract: AISI 1040 is a high quality, unalloyed medium carbon steel usually good ductility with resistance to wear. Tool wear (TW) and surface roughness (SR) are mostly considered as demanding phases, and thus causing poor results in machining operations. Optimization of cutting parameter is more crucial at this condition for improving the quality of the product. Taguchi method is the method to achieve a robust experimental design in the study of product quality is an important issue. The best factors/levels combination with lowest societal cost solution to achieve customers requirements look by Taguchi method. Various cutting speed, feed and depth of cut are taken as parameters. In this study single response optimization was performed in computer numerically controlled (CNC) turning AISI1040 with TiCN/TiN coated cutting tool under dry condition using Taguchi Techniques with the objective of minimization SR and TW. Analysis of variance (ANOVA) was used for identifying the significant parameters affecting the responses.

Abstract: This study proposes an optimization system to find out the optimal process parameters of plastic injection molding (PIM). The system is divided into two phases. In the first phase, the Taguchi method and analysis of variance (ANOVA) are employed to perform the experimental work, calculate the signal-to-noise (S/N) ratio, and determine the initial process parameters. In the second phase, the back-propagation neural network (BPNN) is employed to construct an S/N ratio predictor. The S/N ratio predictor and genetic algorithms (GA) are integrated to search for the optimal parameter combination. The purpose of this stage is to reduce the process variance and promote product quality. Experimental results show that the proposed optimization system can not only satisfy the quality specification, but also improve stability of the PIM process.

Abstract: Electro discharge machining (EDM) is a process that uses an electric sparks to generate the high temperature and melt the workpiece. One of the EDM process is drilling. In EDM drilling, an electro thermal mechanism is introduced between the electrode and work piece to create the hole. The hole size is dependent on the diameters of electrode used during the drilling process. The present study performs Taguchi method to investigate the optimal process parameters for high-speed EDM super drill machine that is used to make a small hole. The workpiece used is made from titanium alloy (Ti-6: ASTM B348 Grade 5) and the copper electrode is 2.0 mm in diameter. In this experiment, the process parameters that were selected to be optimised are: current pulse off, maximum current and standard voltage levels. An orthogonal array L₉ were employed to analyze the hole enlargement and material removal rate (MRR) depending on 2.0 mm diameter hole penetration. The optimum EDM parameters for hole making process was established and verified with the acquired results.

Abstract: A composite of cocoa (Theobroma cacao) pod husk (CPH) fiber reinforced themoplastic polyurethane (TPU) was prepared by melt-blending method followed by compression moulding. Specimens were cut from the sheets that were prepared by compression moulding. The criteria of optimization was testing the specimens by tensile test and comparing the ultimate tensile strength. The aim of this study is to optimize processing parameters and fiber loading using Taguchi approach. These four parameters were investigated in three levels each. The L9 orthogonal array was used based on the number of parameters and levels that have been selected. Furthermore ANOVA was used to determine the significance of parameters. The processing parameters chosen for this study were temperature, speed and time of processing and fiber content. The results showed that optimum values were 190°C, 40 rpm, 11min and 30% for processing temperature, processing speed, processing time and fiber content; respectively. Using ANOVA; fiber content showed the highest significance value followed by processing time. Processing temperature and speed showed no significance in the optimization of TPU/CPH.

Abstract: This paper presents the optimization of multiple performance characteristics (surface roughness and workpiece surface temperature) based on the Taguchi method. Three controllable factors of the turning process were studied at three levels. The single objective optimization was conducted using Taguchi method. The multiple Signal-to-Noise (MSNR) value was used to correspond to multi objective cases. The optimum combination of cutting parameters was obtained based on the highest value of MSNR.

Abstract: In melt spinning process, evenness of polypropylene melt spun yarns affects the appearance, hairiness, strength and productivity of yarns, as well as product production and profits, causing rejection due to nonconformity. The research is to find optimal manufacturing parameters of melt spun yarns. Firstly, to proceed the parameter design by Taguchi method, then to select a manufacturing parameter which will affect the quality of melt spun yarns as controllable factors. Also to choose a suitable orthogonal arrays. Meanwhile, according to variation of analysis, to decide optimal manufacturing parameters of melt spun yarns and its remarkable factor. Finally, using 95% confidence interval to proof the experiment’s reliability and repeatability.

Abstract: In this study, mix proportion parameters of lightweight concrete (LWC) containing ethyl vinyl acetate (EVA) plastic waste from footwear manufacture were investigated by employing Taguchis method and ANOVA statistics. The mixtures were designed in a L₉ orthogonal array with four factors viz., water/cement, water content, EVA content and sand/cement. The results showed that EVA content and water/cement ratio had the significant effect on density and compressive strength of LWC. The density and compressive strength of the LWC containing EVA waste ranged from 1172 to 1441 kg/m³ and from 3.5 to 10.8 MPa, respectively. It can be concluded that the obtained LWC can be classified as masonry concrete. The best possible levels for mix proportions were determined to optimize density and compressive strength of the samples.

Abstract: As the needs of optical glasses are on the rise, the precision on shape, form, surface qualities and the scaling down of sizes are rising, too. The standards and surface finish of reference mirrors used in measuring appliances are crucial; hence, enhancement of the surface finish is indispensable in manufacturing industries. This paper proposes a self-propelled multi jet polishing technique for ultra precision polishing process in which bladeless Tesla turbine was used as a prime mover. The turbine is characterized by high swirling velocity at the outlet; therefore, high kinetic energy in the course of away from the turbine was used as polishing energy. Simulation of the flow of the field of turbine blades using computational fluid dynamics software (CFD) has also been presented. With a newly designed and manufactured polishing tool, this paper investigates the optimal polishing parameters for surface roughness improvement of crown optical glasses using Taguchis experimental approach; signal-to-nose (S/N) ratio and ANOVA analysis was also carried out to determine the effect of main factors on the surface roughness. Consequently, a 2.5μm size of Al₂O₃ abrasive, 10wt% abrasive concentration, 80rpm of polishing head, 6 numbers of nozzles, 6 kg/cm² of pressure, and 45min. of polishing time have been found to be the optimal parameters. It was observed that about 94.44% improvements on surface roughness; Ra, from 0.360μm to 0.020μm has been achieved using the optimal parameters. In addition to this; angular speed of polishing head, pressure and polishing time were found to have significant effect on surface roughness improvement.