Investigations of Surface roughness, Power Consumption, MRR and Tool wear while turning hybrid composites

Shoba, Chintada; Dora, Siva Prasad; Sucharita, A.; Abishek, Monford Paul; Koundinya, M.S

doi:10.1016/j.matpr.2018.06.012

Cited by 6 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, higher cutting speeds lead to relatively easier removal of the hard pumice particles, resulting in a better surface finish on the syntactic samples as well as escalating the MRR values (Figures 8 and 9) as reported by Shoba et al. 71…”

Section: Resultssupporting

confidence: 53%

“…This case can be considered for extremely porous pumice particles used in this paper and indicates an advantage compared to the machining of traditional composites. Furthermore, higher cutting speeds lead to relatively easier removal of the hard pumice particles, resulting in a better surface finish on the syntactic samples as well as escalating the MRR values (Figures 8 and 9) as reported by Shoba et al 71…”

Section: Effects Of Machining Parameters On Materials Removal Ratesupporting

confidence: 53%

“…In another work, Shoba et al. 71 tested the machinability of hybrid SiC and rice husk ash reinforced aluminum composites and asserted that MRR values of unreinforced samples had higher than reinforced ones as well as the positive effect of cutting speed and feed rate on MRR. The same research group also alleged that porosity played an important role in energy consumption during the machining.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

Bolat

Ergene

Karakılınç

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

On the road to real applications, although there are lots of efforts focusing on mechanical and physical features in the literature, their machining abilities were examined in a very limited manner. In this study, machining properties of pumice reinforced AA7075 syntactic foams manufactured via the newly offered sandwich infiltration technique were investigated by performing face turning. Physical and microstructural (optical and SEM works) analyses were conducted on fabricated foams to carry out sample characterization. All machining forces were measured for different cutting speeds (25, 50, and 100 m/min) and feed rates (0.05, 0.10, and 0.15 mm/rev). After the turning operation, areal surface roughness values were measured using a 3D surface profilometer and material removal rate (MRR) values were calculated. Besides, chip mixtures including pumice and metal fragments were collected to probe chip morphology in detail. The results showed that machining forces were affected by the operation parameters differently, and the lowest surface roughness was detected at the cutting speed of 100 m/min and 0.05 mm/rev feed rate. Furthermore, the shape of the metal chips changed from long/continuous characteristic to saw-tooth morphology depending on increasing cutting speed levels while pumice particles exhibited breakaway tendency as the feed rates went up.

show abstract

Section: Resultssupporting

confidence: 53%

Section: Effects Of Machining Parameters On Materials Removal Ratesupporting

confidence: 53%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

Bolat

Ergene

Karakılınç

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…These results are in agreement with the previous studies. Shoba et al 37 studied the effect of reinforcement content on the surface roughness of Al matrix hybrid composites. They explained that the surface roughness increases with increasing reinforcement content within the Al matrix.…”

Section: Influence Of Machining Processes On Surface Roughnessmentioning

confidence: 99%

The effect of machining processes on the physical and surface characteristics of AA2024-B₄C-SiC hybrid nanocomposites fabricated by hot pressing method

Çevik

Karabacak

Kök

et al. 2021

Journal of Composite Materials

View full text Add to dashboard Cite

In this study, an attempt was made on the AA2024 alloy based hybrid nanocomposites reinforced with different weight percentage of SiC and B4C particles to investigate their physical and machinability characteristics including surface morphology. The Material Removal Rate (MRR), Surface Roughness (SR) of the nanocomposites machined by various machining processes namely Abrasive Water Jet (AWJ) machining, Wire Electrical Discharge (WED) machining and Computer Numerical Controlled (CNC) turning processes were studied comparatively. The machined surface formed by the each machining process is examined and its surface quality was discussed for each hybrid nanocomposite. Results show that the hardness is increased to 101.6 BHN from 179.4 BHN, when 2 wt.% of B4C and SiC particles is added to AA2024 matrix. Observed from the results that the addition of 2 wt.% of B4C and SiC particles produces the highest porosity of 3.36% for nanocomposite samples. The experimental results revealed that the addition of particulates in to the matrix reduces the MRR and increases SR. MRR results showed that hybrid nanocomposites machined by AWJ technique has minimum MRR of 0.0221 mm3/min. The surface roughness of the nanocomposites machined with AWJ process was 3.2 µm and increased to 6.81 µm for the AA2024-B4C-SiC hybrid nanocomposites machined with CNC process.

show abstract

“…As a result of the loss of the cutting tool geometry, the desired surface quality cannot be achieved in the produced part. At the same time, the cutting power required for cutting increases in the deformed tool [14,15]. Increasing cutting power means increasing energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters in Turning of Titanium Alloy (Grade 5) by Analysing Surface Roughness, Tool Wear and Energy Consumption

Akkuş

Yaka

2021

Exp Tech

View full text Add to dashboard Cite

In this study, Ti 6Al-4 V (grade 5) ELI alloy was machined with minimum energy and optimum surface quality and minimum tool wear. The appropriate cutting tool and suitable cutting parameters have been selected. As a result of the turning process, average surface roughness (Ra), tool wear and energy consumption were measured. The results have been analyzed by normality test, linear regression model, Taguchi analysis, ANOVA, Pareto graphics and multiple optimization method. It has been observed that high tool wear value increases Ra and energy consumption. In multiple optimization, it was concluded that it made predictions with 89,1% accuracy for Ra, 58,33% for tool wear, 96,75% for energy consumption. While the feed rate was the effective parameter for Ra and energy consumption, the effective parameter in tool wear was the cutting speed. Our study has revealed that by controlling energy consumption, surface quality can be maintained and tool wear can be controlled.

show abstract

Investigations of Surface roughness, Power Consumption, MRR and Tool wear while turning hybrid composites

Cited by 6 publications

References 18 publications

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

The effect of machining processes on the physical and surface characteristics of AA2024-B₄C-SiC hybrid nanocomposites fabricated by hot pressing method

Optimization of Cutting Parameters in Turning of Titanium Alloy (Grade 5) by Analysing Surface Roughness, Tool Wear and Energy Consumption

Contact Info

Product

Resources

About

Investigations of Surface roughness, Power Consumption, MRR and Tool wear while turning hybrid composites

Cited by 6 publications

References 18 publications

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

Investigating on the machinability assessment of precision machining pumice reinforced AA7075 syntactic foam

The effect of machining processes on the physical and surface characteristics of AA2024-B4C-SiC hybrid nanocomposites fabricated by hot pressing method

Optimization of Cutting Parameters in Turning of Titanium Alloy (Grade 5) by Analysing Surface Roughness, Tool Wear and Energy Consumption

Contact Info

Product

Resources

About

The effect of machining processes on the physical and surface characteristics of AA2024-B₄C-SiC hybrid nanocomposites fabricated by hot pressing method