Modeling the sub-surface damage associated with the machining of a particle reinforced MMC

Monaghan, John M.; Brazil, Declan

doi:10.1016/s0927-0256(97)00063-3

Cited by 38 publications

(17 citation statements)

References 4 publications

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“…These phenomena were also observed by other researchers, e.g., Monaghan and Brazil [6] who numerically studied micromechanics associated with the machining of particle reinforced MMCs noted inhomogeneous matrix flow in the machined surface which was controlled by reinforced particles.…”

Section: Particles At Tertiary Deformation Zonesupporting

confidence: 81%

“…Based on the work for aluminium alloys reported in Refs. [6,7], the limiting strain was taken as 1. When an element of matrix material reached the limiting strain value, the corresponding element would be deleted.…”

Section: Materials Modelmentioning

confidence: 99%

“…The reinforcements were constrained to a small area only around the cutting edge to keep the model size manageable. The particles were 20% by volume in this region and were assumed to be perfectly bonded with the matrix where the interface nodes of the matrix and reinforcements were tied together [6,7]. Thus the movements of the nodes at the interface are equal for both the matrix and reinforcements.…”

Section: Introductionmentioning

confidence: 99%

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Particle fracture and debonding during orthogonal machining of metal matrix composites

Pramanik

Zhang

2017

Adv. Manuf.

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This paper investigates the particle fracture and debonding during machining of metal matrix composite (MMC) due to developed stress and strain, and interaction with moving tool by finite element analysis. The machining zone was divided into three regions: primary, secondary and tertiary deformation zones. The tendency of particles to fracture in each deformation zone was investigated. The findings of this study were also discussed with respect to the experimental results available in the literature. It was found that particles at the cutting path in the tertiary deformation zone fractured as it interacted with tool. In the secondary deformation zone, particles interacted with other particles as well as cutting tool. This caused debonding and fracture of huge number of particles as those were moving up along the rake face with the chips. No particle fracture was noted at the primary deformation zone. The results obtained from finite element analysis were very similar to those obtained from experimental studies.

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Section: Particles At Tertiary Deformation Zonesupporting

confidence: 81%

Section: Materials Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Particle fracture and debonding during orthogonal machining of metal matrix composites

Pramanik

Zhang

2017

Adv. Manuf.

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“…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]. However, in view of the growing engineering applications of these materials, a detailed and systematic study into their machining characteristics is required.…”

Section: Introductionmentioning

confidence: 99%

“…From the available literature on particulate MMCs it is obvious that the morphology, distribution and volume fraction of the reinforcement phase, as well as the matrix properties, are all factors that affect the overall cutting properties [20]. However, relatively few published reports are related to the optimization of the cutting process.…”

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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Mechanics and Modeling of Chip Formation in Machining of MMC

Shin

Dandekar

2011

Machining of Metal Matrix Composites

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Modeling the sub-surface damage associated with the machining of a particle reinforced MMC

Cited by 38 publications

References 4 publications

Particle fracture and debonding during orthogonal machining of metal matrix composites

Particle fracture and debonding during orthogonal machining of metal matrix composites

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

Mechanics and Modeling of Chip Formation in Machining of MMC

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