Optimization of process parameters for machining of AISI-1045 steel using Taguchi design and ANOVA

Qasim, Arsalan; Nisar, Salman; Shah, Abad; Khalid, Maryam; Sheikh, M. A.

doi:10.1016/j.simpat.2015.08.004

Cited by 62 publications

(31 citation statements)

References 26 publications

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“…Considering the change points discovered using the Pettitt test, we divided the time series into three sub-periods: [1961][1962][1963][1964][1965][1966][1967][1968][1969][1970][1971][1972][1973][1974][1975][1976][1977][1978][1979][1980][1981][1982][1983][1984][1985][1986][1987][1988][1989][1990][1991][1992][1993][1994][1995][1996][1997][1998][1999] After the normal distribution test and homogeneity test of variance using Shapiro-Wilk [49] and Bartlett test [50], respectively, analysis of variance (ANOVA) [51][52][53] was performed to investigate the variations of the water level. Table 4 shows that no significant differences in mean water level are not significant, but the approximate probability for the change points for WLm in 1999 is significant.…”

Section: Comparisons Of Water Levels Between Three Time Periodsmentioning

confidence: 99%

“…Considering the change points discovered using the Pettitt test, we divided the time series into three sub-periods: 1961-1980, 1981-1999, and 2000-2012. Considering the operation of Three Gorges Reservoir (TGR), the time series are divided the time series into three different sub-periods: 1961-1980, 1981-2002, and 2003-2014. After the normal distribution test and homogeneity test of variance using Shapiro-Wilk [49] and Bartlett test [50], respectively, analysis of variance (ANOVA) [51][52][53] was performed to investigate the variations of the water level. Table 4 shows that no significant differences in mean water level among three sub-periods divided by the change points discovered using the Pettitt test and the operation of TGR, but there were some differences in mean water level among different months.…”

Section: Comparisons Of Water Levels Between Three Time Periodsmentioning

confidence: 99%

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Analysis of Long-Term Water Level Variation in Dongting Lake, China

Han

Zhang

Huang

et al. 2016

Water

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Abstract:The water level of Dongting Lake has changed because of the combined impact of climatic change and anthropogenic activities. A study of the long-term statistical properties of water level variations at Chenglingji station will help with the management of water resources in Dongting Lake. In this case, 54 years of water level data for Dongting Lake were analyzed with the non-parametric Mann-Kendall trend test, Sen's slope test, and the Pettitt test. The results showed the following: (1) Trends in annual maximum lake water level (WLM), annual mean lake water level (WL), and annual minimum lake water level (WLm) increased from 1961 to 2014; however, the three variables showed different trends from 1981 to 2014; (2) The annual change trends in Dongting Lake between 1961-2014 and 1981-2014 were found to be from approximately 0.90 cm/year to´2.27 cm/year, 1.65 cm/year to´0.79 cm/year, and 4.58 cm/year to 2.56 cm/year for WLM, WL, and WLm, respectively; (3) A greater degree of increase in water level during the dry season (November-April) was found from 2003 to 2014 than from 1981 to 2002, but a smaller degree of increase, even to the point of decreasing, was found during the wet season (May-October); (4) The measured discharge data and numerical modeling results showed the operation of Three Gorge Reservoir (TGR) pushed to influence partly the recent inter-annual variation of water level in Dongting Lake region, especially in the flood and dry seasons. The analysis indicated that the water level of Dongting Lake has changed in the long term with decreasing of range between WLM and WLm, and may decrease the probability of future drought and flood events. These results can provide useful information for the management of Dongting Lake.

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Section: Comparisons Of Water Levels Between Three Time Periodsmentioning

confidence: 99%

Section: Comparisons Of Water Levels Between Three Time Periodsmentioning

confidence: 99%

Analysis of Long-Term Water Level Variation in Dongting Lake, China

Han

Zhang

Huang

et al. 2016

Water

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“…The depth of cut (a = 0.5 mm) and feed rate (f = 0.1 mm/r) were kept constant. The cutting conditions used in the experiments were selected according to the review of the scientific literature [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. These are described in Table 3.…”

Section: Experimental Setup and Factorial Design Of The Investigationmentioning

confidence: 99%

“…Hernández et al [23] analyzed the resultant cutting force evolution in high speed turning of AISI 1045 steel with two coated carbide and a cermet inserts, but the authors did not include the tool flank wear. Qasim et al [24] presented an optimization of process parameters for high-speed machining of AISI 1045 steel, using several cutting tools, with the objective of reducing cutting forces and temperature. The principal investigations in high-speed turning of plain carbon steel are presented in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

González

Pérez‐Rodríguez

Zambrano‐Robledo

et al. 2018

JMMP

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The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate implementation. In this paper, response surface methodology (RSM) has been applied to determine the optimum cutting conditions leading to minimum flank wear in high-speed dry turning on AISI 1045 steel. The mathematical models in terms of machining parameters were developed for flank wear prediction using RSM on the basis of experimental results. The high speed turning experiments were carried out with two coated carbide and a cermet inserts using AISI 1045 steel as work material at different cutting speeds and machining times. The models selected for optimization were validated through the Pareto principle. Results showed the GC4215 insert to be the most optimal option, because it did not reach the cutting tool life limit and could be used for the whole range of cutting parameters selected. To quantitatively evaluate the usefulness of the cutting tools, it was proposed the coefficient of use of the tools from the results of the contour graphs. The GC4215 insert showed 100% effectiveness, followed by the GC4225 with 98.4%, and finally, the CT5015 insert with 83%.

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“…S/N ratio is used to detect control factors that reduce variability in a process by minimizing the effects of uncontrollable factors. TM has been widely used in different fields, as represented in the following recently published studies: Gunay and Yucel (2013); Rajasekaran et al (2013), Sutcu (2013), Dasgupta et al (2014), Gu et al (2014), Qasim et al (2015), and Esen and Turgut (2015).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters in Oriented Strand Board Manufacturing by Taguchi Method

Hamzaçebi¹

2016

BioResources

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Optimization of process parameters in oriented strand board (OSB) manufacturing is a vital issue for improving product quality. In this study, the Taguchi method (TM) was applied to determine the effects of production factors such as adhesive ratio, press pressure, and pressing time on the thermal conductivity of OSB. Obtained results showed that adhesive ratio is the main factor affecting thermal conductivity. Press pressure and pressing time are the second and third most important factors influencing thermal conductivity, respectively. The study also identified the optimal values of factors that minimize thermal conductivity.

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Optimization of process parameters for machining of AISI-1045 steel using Taguchi design and ANOVA

Cited by 62 publications

References 26 publications

Analysis of Long-Term Water Level Variation in Dongting Lake, China

Analysis of Long-Term Water Level Variation in Dongting Lake, China

Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

Optimization of Process Parameters in Oriented Strand Board Manufacturing by Taguchi Method

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