Experimental Investigation and Optimization of Cutting Force and Tool Wear in Milling Al7075 and Open-Cell SiC Foam Composite

Karabulut, Şener; Çinici, Henifi; Karakoç, Halil

doi:10.1007/s13369-015-1991-4

Cited by 15 publications

(2 citation statements)

References 24 publications

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“…The machinability tests to forecast cutting forces, tool wear, and surface roughness of an aluminum-silicon cast alloy were conducted during a turning operation [44]. In order to estimate milling force and tool wear of Al7075 and the open-cell SiC foam MMCs [45] conducted an experimental investigation and the results were anticipated using ANOVA and RSM.…”

Section: Aluminium Reinforced With Silicon (Al/si)mentioning

confidence: 99%

Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing – Present Scenario and Future Prospects

Gutema,

Lemu

2024

Preprint

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This study provides an in-depth review of the available literature on metal composite material machining, focusing on traditional machining operations such as turning, milling, shaping, drilling, and grinding. The motivation for the study is that this composite type has emerged as a vital material in applications requiring functionality, resilience, cost-effective operation, low consumption of energy and lightweight. Despite its superior characteristics, the manufacturing complexity and poor machinability of metal matrix composites have been the primary barriers to its adoption. Nevertheless, there is a reduction of exceptional efficiency, increase in surface roughness, tool wear and so on in metal matrix composites throughout machining. As a result, this review gives a comprehensive investigation of metal matrix composite machining and effect on process parameters and procedures. Furthermore, this study distinguishes metal matrix composites towards sustainable manufacturing and the metals employed by the researchers, as well as the gaps discovered for future recommendations in metal-based composites.

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Section: Aluminium Reinforced With Silicon (Al/si)mentioning

confidence: 99%

Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing – Present Scenario and Future Prospects

Gutema,

Lemu

2024

Preprint

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“…The feed rate and depth of cut have also significant effect on cutting forces. High cutting forces were observed in machining of MMCs due to the creation of voids around the reinforcement ceramic particles in the matrix structure [11][12][13][14]. The artificial neural networks are used in many different applications of MMCs including prediction of surface roughness, cutting force and cutting tool wear.…”

Section: Introductionmentioning

confidence: 99%

Study on Machining Parameters for Thrust Force and Torque in Milling AA7039 Composites Reinforced with Al2O3/B4C/SiC Particles

Karabulut

2016

IJET

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Abstract-Metal matrix composites are used in many industrial fields such as automobile, military and aerospace applications due to their superior mechanical properties. In the present study, three aluminum 7039 metal matrix composite (MMCs) samples reinforced with 10 wt.% particulates of aluminum oxide (Al 2 O 3 ), 10 wt.% boron carbide (B 4 C), and 10 wt.% silicon carbide (SiC) were successfully fabricated using a powder metallurgy and hot extrusion method. The influences of cutting parameters on the thrust cutting force and torque during milling of the three MMCs were investigated under dry machining conditions. The milling tests were performed based on the Taguchi orthogonal -array design of experiments, for different machining parameters such as cutting speed, feed and depth of cut. The effect of reinforcement contents on cutting force and torque were specified by utilizing analysis of variance (ANOVA). Mathematical models have been generated for the thrust force and torque through regression method. The results indicated that the minimal thrust force and torque were obtained in the machining of the Al 2 O 3 reinforced specimen. The cutting force was directly influenced by the cutting feed and the axial cutting depth was the most effective machining parameter affecting milling torque in the machining of three composite specimens. The experimental results were modeled using regression analysis and artificial neural networks (ANN) to predict the thrust force and torque. The thrust force and torque were predicted with a mean squared error equal to 5.85% and 5.12% respectively using ANN models.

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Multi-response Optimization of End Milling on Al6061–Sicp Metal Matrix Composite–Hybrid GRA-PCA Approach

Sankar¹,

Umamaheswarrao²

2019

Advances in Forming, Machining and Automation

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Experimental Investigation and Optimization of Cutting Force and Tool Wear in Milling Al7075 and Open-Cell SiC Foam Composite

Cited by 15 publications

References 24 publications

Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing – Present Scenario and Future Prospects

Conventional Machining of Metal Matrix Composites towards Sustainable Manufacturing – Present Scenario and Future Prospects

Study on Machining Parameters for Thrust Force and Torque in Milling AA7039 Composites Reinforced with Al2O3/B4C/SiC Particles

Multi-response Optimization of End Milling on Al6061–Sicp Metal Matrix Composite–Hybrid GRA-PCA Approach

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