Influence of Processing Conditions and Reinforcement on the Surface Quality of Finish Machined Aluminium Alloy Matrix Composites

Chandrasekaran, H.; Johansson, Jakob

doi:10.1016/s0007-8506(07)60873-7

Cited by 26 publications

(19 citation statements)

References 6 publications

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“…The reason for this is the presence of hard Al 2 O 3 particles in the aluminium matrix. Studies on the machinability of light alloy composites reinforced with Al 2 O 3 /SiC fibres/particles [14][15][16] indicate poor machinability due to the abrasive wear of tools. Moreover, the quality of the machined surface also deteriorates with tool wear [16].…”

Section: Introductionmentioning

confidence: 99%

“…Studies on the machinability of light alloy composites reinforced with Al 2 O 3 /SiC fibres/particles [14][15][16] indicate poor machinability due to the abrasive wear of tools. Moreover, the quality of the machined surface also deteriorates with tool wear [16]. With existing tools such as cemented carbides coated with titanium nitrides (TiN) or titanium carbides (TiC), the wear rate of the tools is so high that machining is extremely expensive.…”

Section: Introductionmentioning

confidence: 99%

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Tool life modeling for evaluating the effects of cutting speed and reinforcements on the machining of particle reinforced metal matrix composites

Kök

2010

Int J Miner Metall Mater

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The wear of cutting tools in the machining of 2024Al alloy composites reinforced with Al 2 O 3 particles using varying sizes and volume fractions of particles up to 23.3vol% was investigated by a turning process using coated carbide tools K10 and TP30 at different cutting speeds. Machining tests were performed with a plan of experiments based on the Taguchi method. The tool life model was developed in terms of cutting speed, size, and volume fraction of particles by multiple linear regressions. The analysis of variance (ANOVA) was also employed to carry out the effects of these parameters on the cutting tool life. The test results show that the tool life decreases with the increase of cutting speed for both cutting tools K10 and TP30, and the tool life of the K10 tool is significantly longer than that of the TP30 tool. For the tool life, cutting speed is found to be the most effective factor followed by particle content and particle size, respectively. The predicted tool life of cutting tools is found to be in very good agreement with the experimentally observed ones.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tool life modeling for evaluating the effects of cutting speed and reinforcements on the machining of particle reinforced metal matrix composites

Kök

2010

Int J Miner Metall Mater

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“…Studies on the machinability of light alloy composites reinforced with alumina/silicon carbide, fibers/particles resulted abrasive wear of tools and indicate poor machinability [4,5]. Tool wear leads to deterioration of the quality of machined surface [6]. As conventional machining methods leads to high tool cost and high tool wear, unconventional machining methods offers an attractive alternative.…”

Section: Introductionmentioning

confidence: 99%

Parametric Study for Radial over Cut in Electrochemical Drilling of Al-5%B4Cp Composites

Rao¹,

Padmanabhan

Naidu³

et al. 2014

Procedia Engineering

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Metal-matrix composites (MMCs) have been increasingly used in automotive and aerospace industries because of their superior properties compared to unreinforced alloys. These materials are difficult-to-machine by conventional machining methods because of the hard and abrasive reinforced particles. The present work investigates the effect of voltage, electrolyte concentration and feed rate on radial over cut in electrochemical drilling of Al/B 4 C p metal matrix composites. Experiments have been conducted on electrochemical machine according to the principles of Taguchi's design of experiments method. Regression analysis was employed to develop mathematical model for radial over cut. Adequacy of the developed mathematical model has been tested using analysis of variance. Effect of machining parameters and their interactions were studied through the contour plots.

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“…In the available literature it is obvious that researchers have concentrated on studying the wear characteristics of various tool materials for the machining of aluminum alloy composites [6,[9][10][11][12][13][14][15][16][17]. Studies on the machinability of light alloy composites reinforced with Al 2 O 3 /SiC fibers/particles [5,18,19] indicate poor machinability because of the abrasive wear of tools. Moreover, the quality of the machined surface also deteriorates with tool wear [19].…”

Section: Introductionmentioning

confidence: 99%

“…Studies on the machinability of light alloy composites reinforced with Al 2 O 3 /SiC fibers/particles [5,18,19] indicate poor machinability because of the abrasive wear of tools. Moreover, the quality of the machined surface also deteriorates with tool wear [19]. The primary difficulty when machining with MMCs has proven to be a short tool life and a relatively poor surface finish [6,20,21].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Assessment of Some Factors that Influence Surface Roughness for the Machining of Particle Reinforced Metal Matrix Composites

Kök

2011

Arab J Sci Eng

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In this work the influence of cutting speed, size and particle weight fraction on the surface roughness during the machining of 2024 Al alloy composites reinforced with Al 2 O 3 particles was investigated. Machining tests were performed by the turning process, using the coated carbide tools K10 and TP30 at different cutting speeds, and the experiments were based on the Taguchi technique. A surface roughness model was developed in terms of these selected factors by multiple linear regression. An analysis of variance was also used to determine the validity of the proposed parameters and their contributions. The results of these tests showed that the optimum surface roughness was obtained at a cutting speed of 160 m/min for the machining of the 30 wt% particles reinforced composite with a particle size of 66 µm for both types of cutting tools. For the average surface roughness the cutting speed was found to be the most effective factor for the TP30 tool, while for the K10 tool the most effective factor was the weight fraction of the particles. A good agreement between the predicted and experimental surface roughness values of the cutting tools was obtained at a 95% confidence level.

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Influence of Processing Conditions and Reinforcement on the Surface Quality of Finish Machined Aluminium Alloy Matrix Composites

Cited by 26 publications

References 6 publications

Tool life modeling for evaluating the effects of cutting speed and reinforcements on the machining of particle reinforced metal matrix composites

Tool life modeling for evaluating the effects of cutting speed and reinforcements on the machining of particle reinforced metal matrix composites

Parametric Study for Radial over Cut in Electrochemical Drilling of Al-5%B4Cp Composites

Modeling and Assessment of Some Factors that Influence Surface Roughness for the Machining of Particle Reinforced Metal Matrix Composites

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