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1
Content available remote A Statistical Forecasting of Mechanical Properties of Mg-Ca Alloys Using Taguchi Design
100%
Feray Guleryuz L. , Ipek R. , Arıtman I. , Karaoglu S.
Acta Physica Polonica A
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2017
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tom 131
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nr 3
592-594
EN
In this study statistical Taguchi design was used to predict mechanical properties of biodegradable magnesium calcium composites, produced by powder metallurgy method. Results of analysis of variance (ANOVA) and regression analysis indicate the good accuracy of the model. Resulting microstructure and compression test behavior of the Mg-based alloys were studied. Visual inspection using scanning electron microscope analysis indicates that the microstructure of the composite is also greatly affected by these parameters. In addition, energy dispersive X-ray spectroscopy analysis was performed for reliable determination of the chemical composition of the samples.
2
Content available remote Optimizing Search Results Using Taguchi Design of Experiments: Case Study of the Distribution of COVID-19 Names in Vietnam
71%
Hien T. N. T.
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2021
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tom Vol. 28
141--143
EN
Taguchi design of experiments is a method used in engineering, especially in the field of new product development, for optimizing production processes and improving product quality. The Taguchi method is widely used in the field of industrial engineering. The purpose of this study is to investigate the applicability of the Taguchi method for other tasks, such as optimizing search results. Using the Taguchi method, we assess the popularity of three names for COVID-19 that have been used by scientists in research related to COVID-19 in the context of Vietnam. The results show the positive value of using the Taguchi method to optimize search results. The keyword COVID-19 is found to be the most-used keyword. The results also show that disease prevention, spread, infection, transmission, treatments, preparation, and responses to the disease are particularly interesting research topics in Vietnam at present.
3
Content available Statistical analysis of entropy generation in longitudinally finned tube heat exchanger with shell side nanofluid by a single phase approach
71%
Konchada P. K. , Pv V. , Bhemuni V.
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2016
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tom Vol. 37, no. 2
3--22
EN
The presence of nanoparticles in heat exchangers ascertained increment in heat transfer. The present work focuses on heat transfer in a longitudinal finned tube heat exchanger. Experimentation is done on longitudinal finned tube heat exchanger with pure water as working fluid and the outcome is compared numerically using computational fluid dynamics (CFD) package based on finite volume method for different flow rates. Further 0.8% volume fraction of aluminum oxide (Al2O3) nanofluid is considered on shell side. The simulated nanofluid analysis has been carried out using single phase approach in CFD by updating the user-defined functions and expressions with thermophysical properties of the selected nanofluid. These results are thereafter compared against the results obtained for pure water as shell side fluid. Entropy generated due to heat transfer and fluid flow is calculated for the nanofluid. Analysis of entropy generation is carried out using the Taguchi technique. Analysis of variance (ANOVA) results show that the inlet temperature on shell side has more pronounced effect on entropy generation.
4
Content available remote Fabrication, microstructure, and machinability of aluminum metal-matrix composites
70%
Kathiravan S. , Thanigaivelan R. , Suresh P.
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tom Vol. 40, No. 3
112--124
EN
Today, researchers across the world focus on sustainable products, and, accordingly, it is now imperative to develop sustainable MMCs. In line with this, ongoing experimental work aims to fabricate aluminum 6061 MMC with ground granulated blast furnace slag (GGBS) and study the micro-structural and machinability characteristics. A liquid state stir casting setup is used to melt aluminum 6061 alloy and reinforced with 2.5 wt.%, 5.0 wt.%, and 7.5 wt.% of GGBS. X-ray diffraction (XRD) studies were used to identify the chemical elements that were present in the fabricated samples. In order to observe the formation of any secondary elements, energy-dispersive X-ray spectroscopy and scanning electron microscopy (SEM) were utilized on the cast composites. Through the milling process, the influence of the GGBS reinforcement composition on the surface roughness (SR) and material removal rate (MRR) of aluminum 6061 MMC was examined, considering the parameters of spindle speed, feed rate, depth of cut, and reinforcement composition percentage. The L9 orthogonal array (OA) was used to investigate the results of the experiments, and the Taguchi technique was used to optimize the process. The best MRR value was produced by the feed rate (B3) of 260 mm3/min and the depth of cut (C3) of 0.75 mm. The study ascertained that the lower SR value is attained corresponding to a spindle speed of 1,250 rpm, a feed rate of 220 mm3/min, a depth of cut of 0.25 mm, and a reinforcement composition percentage of Al 6061 with 5% GGBS.
5
Content available Optimization of Drilling Process Parameters Via Taguchi, TOPSIS and RSA Techniques
60%
Shunmugesh K. , Panneerselvam K.
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2017
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tom Vol. 62, iss. 3
1803--1812
EN
Carbon Fiber Reinforced Polymer (CFRP) is the most preferred composite material due to its high strength, high modulus, corrosion resistance and rigidity and which has wide applications in aerospace engineering, automobile sector, sports instrumentation, light trucks, airframes. This paper is an attempt to carry out drilling experiments as per Taguchi’s L27 (313) orthogonal array on CFRP under dry condition with three different drill bit type (HSS, TiAlN and TiN). In this research work Response Surface Analysis (RSA) is used to correlate the effect of process parameters (cutting speed and feed rate) on thrust force, torque, vibration and surface roughness. This paper also focuses on determining the optimum combination of input process parameter and the drill bit type that produces quality holes in CFRP composite laminate using Multi-objective Taguchi technique and TOPSIS. The percentage of contribution, influence of process parameters and adequacy of the second order regression model is carried out by analysis of variance (ANOVA). The results of experimental investigation demonstrates that feed rate is the pre-dominate factor which affects the response variables.
6
Content available remote Parametric Optimization and Interaction Effect of TIG Welding Parameters for Stainless Steel (SS 301) Sheets
60%
Krishnan M. P. , Sait A. N.
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tom Vol. 19, nr 2
91--101
EN
In the present work, TIG welding process parameters were optimized for joining 301 stainless–steel plates. Welding pressure, welding speed and welding temperature combinations were carefully selected with the objective of producing weld joint with maximum impact strength and hardness. Taguchi technique was applied for optimizing the selected welding parameters. The factors used in this study consisted of pressure, welding speed and welding temperature, each of which had three levels in the study. L27 orthogonal array was selected according to the aforementioned factors and levels and experimental tests were performed. Signal-to-noise (SN) ratio was used to evaluate the experimental results. The results indicate that the welding speed has the greatest influence on impact strength, followed by welding pressure and temperature. Experiments have also been conducted to validate the optimized parameters.
7
Content available Experimental investigation of cryogenically treated HSS tool in turning on AISI1045 using fuzzy logic – Taguchi approach
60%
Raja P. , Malayalamurthim R. , Sakthivel M.
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nr 4
8
Content available The effects of process parameters on spindle power consumption in abrasive machining of CoCr alloy
60%
Brazel E. , Hanley R. , O'Donell G. E.
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tom Vol. 11, No. 4
59--69
EN
The production environment requires seamless integration, efficiency and robustness of process monitoring solutions. This research investigates data acquisition on the machine tool through the monitoring of NC kernel data. This approach provides many advantages, particularly in an industrial setting where it may be impractical to install additional sensors for process monitoring. The process investigated is abrasive machining of Cobalt Chrome alloy. Cobalt Chrome alloys are extensively used in the biomedical industry as both femoral and tibial components of prosthetic joints. Abrasive machining or grinding is widely employed as the main method for material removal for these components. Understanding the influence of key variables in such a process is necessary before optimization can be achieved. Significant information can be obtained by utilizing power consumption during machining as a process metric. Power consumption of a spindle during an abrasive machining process of Cobalt Chrome alloy is monitored under various conditions through a machine-NC-based application. The effects of changes in feed rate, wheel speed, depth of cut and tool condition are investigated here through Taguchi experimental design. Experimental results are presented with significant machining variables identified.
9
Content available Measurement of effectiveness of new products implementation process according to APQP/PPAP requirements - proposition of indices
60%
Rewilak J. , Tokaj T.
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tom Vol. 3, No. 4
69-79
EN
One of the requirements of the process approach is to identify the methods and evaluation criteria for process measurement. The effectiveness described as the ability to execute scheduled tasks and the objectives may be the measure used to evaluate processes. The article presents a few concepts of efficiency indicators that can be used in assessing the activities carried out within the framework of the implementation of new projects, according to APQP&PPAP guidelines. This paper proposes four concepts of indicators to assess the effectiveness of the above-described process, including index based on the Taguchi loss function.
10
Content available remote Effect of temperature, load and sliding velocity on the wear behavior of AA7075-SIC composites
57%
Shanmughasundaram P.
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tom Vol. 21, nr 1
85--93
EN
Dry sliding wear behavior of a aluminum matrix reinforced with SiC composite was investigated under three different temperatures (30°C, 60°C, 90°C), three different load and sliding velocities against a EN 32 carbon steel counter face. Results showed that load and temperature have significant effect on the wear loss. Wear resistance of the composites decrease with temperature, load and sliding velocity within the observed range. Taguchi method was used to find the significance of the parameters. Analysis of variance (ANOVA) was used to investigate the influence of parameters on the wear resistance. It was found that the load was the most dominant factor influencing the wear followed by temperature and sliding velocity.
11
Content available Taguchi Approach for Optimization of Parameters that Effect Grain Size of Cast A357 Alloy
41%
Çolak M. , Dışpınar D.
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