Modeling and optimization of Al/SiCp MMC machining using Taguchi approach

Sahoo, Ashok Kumar; Pradhan, Swastik

doi:10.1016/j.measurement.2013.06.001

Cited by 130 publications

(40 citation statements)

References 23 publications

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“…The previous investigations based on Taguchi method explore that tool geometry (flank wear) and cutting force are affected by the cutting speed and most significant factor which influence the surface roughness is feed rate [6][7][8]. The findings supported that Taguchi method and Analysis of Variance (ANOVA) are powerful techniques to develop predictive models [9].…”

Section: Introductionmentioning

confidence: 83%

Evaluation of cutting force and surface roughness in the dry turning of Al–Mg2Si in-situ metal matrix composite inoculated with bismuth using DOE approach

2015

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Section: Introductionmentioning

confidence: 83%

Evaluation of cutting force and surface roughness in the dry turning of Al–Mg2Si in-situ metal matrix composite inoculated with bismuth using DOE approach

2015

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“…It is used for the modeling of the process, where one response is affected by number of parameters (Horng et al 2008;Bouacha et al 2010;Cetin et al 2011;Sahoo and Pradhan 2013). In the present work, linear regression relationship (i.e.…”

Section: Regression Analysismentioning

confidence: 99%

Porosity exploration of SMA by Taguchi, regression analysis and genetic programming

et al. 2016

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Porosity plays a vital role in the field of biomedical engineering of implantations i.e. orthopedic and orthodontics. Shape memory alloys exhibit a greater strength with a higher porosity. The strength of porous shape memory alloys were found similar to the strength of bones. In the present research, NiTi SMA is fabricated by powder metallurgy process. The processing parameters of sintering and compaction (i.e. compaction pressure, sintering temperature and sintering time) play an important role in the porosity investigation of SMA. Taguchi's method based L 9 orthogonal array was selected for the planning of experiments. Sintering temperature and sintering time were the significant process parameters as compared to compaction pressure. Regression coefficients and equation was derived by use of regression analysis. Further this equation was solved with the help of genetic programming and results of both (i.e. Taguchi' method and genetic programming) were compared to find the maximum porosity. The maximum porosity that can be achieved is 56 % and the confirmation experiments were performed at 95 % confidence level.

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“…Sahoo and Pradhan, 26 while machining Al/SiCp (10% by weight) using uncoated carbide inserts (of application range P 20-30), reported that the optimal parametric combination for flank wear was 60 m/min, 0.05 mm/rev, and 0.4 mm of cutting speed, feed, and depth of cut, respectively. Cutting speed was found to be the most significant parameter followed by feed for flank wear, whereas depth of cut had insignificant effect for it.…”

Section: Tool Wear and Tool Lifementioning

confidence: 99%

Tool wear in turning ceramic reinforced aluminum matrix composites—A review

Das

Mishra

Singh

et al. 2014

Journal of Composite Materials

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Cutting tool wear during turning of ceramic reinforced aluminum matrix composites was reviewed. Though tools of different materials, such as tungsten carbide, coated tungsten carbide, ceramics, cubic boron nitride, polycrystalline cubic boron nitride, chemical vapor deposition diamond coated tungsten carbide, and polycrystalline diamond were used for turning the aluminum matrix composites, better performance of polycrystalline diamond tools was observed in terms of tool life. The results obtained by many researchers indicated that dominant tool wear mechanism was abrasion, and tool life was mainly affected by flank wear during turning of these composites. The flank wear increased on increasing particulate size or weight fraction of reinforcement. Flank wear of the cutting tool also increased with increasing cutting speed, feed, and depth of cut; however, cutting speed was the most significant parameter affecting flank wear, followed by feed. Influence of depth of cut on flank wear was limited or insignificant.

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Modeling and optimization of Al/SiCp MMC machining using Taguchi approach

Cited by 130 publications

References 23 publications

Evaluation of cutting force and surface roughness in the dry turning of Al–Mg2Si in-situ metal matrix composite inoculated with bismuth using DOE approach

Evaluation of cutting force and surface roughness in the dry turning of Al–Mg2Si in-situ metal matrix composite inoculated with bismuth using DOE approach

Porosity exploration of SMA by Taguchi, regression analysis and genetic programming

Tool wear in turning ceramic reinforced aluminum matrix composites—A review

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