Parametric optimization of CNC turning process for hybrid metal matrix composite

Nataraj, M.; Balasubramanian, K.

doi:10.1007/s00170-016-8780-4

Cited by 34 publications

(19 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…along with spindle speed and feed found significant parameters. These results are in agreement with the result observed by Nataraj and Balasubramanian [24]. Researchers performed a turning parameters optimization for surface roughness, vibration and work-tool interface of hybrid metal matrix composite and concluded that depth of cut along with speed and feed has a significant effect on the hybrid metal matrix composite.…”

Section: Materials and Methodologysupporting

confidence: 90%

Effect of Turning Parameters and Reinforcement on the Surface Roughness of Hybrid Aluminium Metal Matrix Composite

Suthar,

Patel*

2019

IJEAT

View full text Add to dashboard Cite

Since last two decades, technology has changed rapidly in each industry from consumer goods to aerospace. To quench the thrust of technology advancement of industries, the research community has to develop the novel materials. As a part of the ongoing process of material development and machinability study, present work was carried out to find out the effect of various cutting parameters on surface roughness and machining time of aluminium Hybrid Metal Matrix Composites (AHMMCs). In this study, pure aluminium was used as a matrix material while; B4C, Mg, Ti and Graphite were used as reinforcement. It was observed that 2202 RPM spindle speed, 0.18 mm/rev feed rate and 1.1 mm depth of cut are the optimum turning parameters with PCD insert. While machining of same composites using carbide insert, optimum spindle speed, feed rate and depth of cut are 2091 RPM, 0.19 mm/rev and 1.1 mm respectively. Moreover, PCD insert provides better surface finish compared to carbide coated insert for same cutting conditions. Moreover, the effect of reinforcement particles presence on the surface finish was also investigated and it was concluded that reinforcement presence reduces the surface roughness considerably. Particularly presence of Mg and graphite reduces surface finish significantly.

show abstract

Section: Materials and Methodologysupporting

confidence: 90%

Effect of Turning Parameters and Reinforcement on the Surface Roughness of Hybrid Aluminium Metal Matrix Composite

Suthar,

Patel*

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…Josyula and Narala [35] measured the performances of cooling conditions on turning of Al-TiCP composites by considering tool wear mechanisms, flank wear, and cutting forces. Nataraj and Balasubramainan [36] performed parametric optimization during turning for ash and SiC P reinforced Al. Surface roughness showed decreasing behavior with increasing depth of cut according to the authors.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy

et al. 2021

View full text Add to dashboard Cite

The features of composite materials such as production flexibility, lightness, and excellent strength put them in the class of materials that attract attention in various critical areas, i.e., aerospace, defense, automotive, and shipbuilding. However, the machining of composite materials displays challenges due to the difficulty in obtaining structural integrity. In this study, Cu/Mo-SiCP composite materials were produced by powder metallurgy with varied reinforcement ratios and then their machinability was investigated. In machinability experiments, the process parameters were selected as cutting speed (vC), feed rate (f), depth of cut (aP), and reinforcement ratio (RR). Two levels of these parameters were taken as per the Taguchi’s L8 orthogonal array, and response surface methodology (RSM) is employed for parametric optimization. As a result, the outcomes demonstrated that RR = 5%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 200 m/min for surface roughness, RR = 0%, f = 0.25 mm/rev and aP = 0.25 mm and vC = 200 m/min for flank wear and RR = 0%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 150 m/min for cutting temperature for cutting temperature and flank wear should be selected for the desired results. In addition, ANOVA results indicate that reinforcement ratio is the dominant factor on all response parameters. Microscope images showed that the prominent failure modes on the cutting tool are flank wear, built up edge, and crater wear depending on reinforcement ratio.

show abstract

“…As mentioned in the response table, the Taguchi method gives the rank of individual parameter and optimal level can also be determined from the response graph for respective quality characteristics. Since the quality characteristics are the lower the better type of characteristics, the maximum S/N ratio gives the optimum level for setting of process parameters [30,31]. But the Taguchi method cannot judge and determine the effect of individual process parameters on the entire process.…”

Section: Experimentationmentioning

confidence: 99%

“…But the Taguchi method cannot judge and determine the effect of individual process parameters on the entire process. Therefore, analysis of variance (ANOVA) is used to identify the parameters which are significantly influencing the process and contributes comparatively more towards occurrences of persisting defects [27,31].…”

Section: Experimentationmentioning

confidence: 99%

Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Aloni¹

2019

JESTR

View full text Add to dashboard Cite

The main objective of the work presented in this paper is the identification of most influential parameters of green sand casting process that is responsible for the occurrences of the defects which are persisting in complex gray iron components. The shrinkage porosity, blowholes, sand inclusion and low hardness are the defects which are persisting in cylinder head castings produced in gray iron by a green sand casting process. In pursuing for the identification of most influential parameters for respective defects, Taguchi's approach to parameter design is proposed. In the first stage of the study, 19 potential parameters associated with principal operations are selected and experiments are performed as per the plan given by the suitable Taguchi array, L36 OA. In the second stage optimal levels of the parameters are determined from the signal-to-noise ratio calculations. Analysis of variance (ANOVA) is subsequently performed to identify most influential parameters. Confirmation run of experiments is performed with optimal settings of parameters to verify the results. Outcome of confirmation experiments indicated that persisting defects in cylinder head castings produced by a green sand process are sufficiently reduced.

show abstract

Parametric optimization of CNC turning process for hybrid metal matrix composite

Cited by 34 publications

References 12 publications

Effect of Turning Parameters and Reinforcement on the Surface Roughness of Hybrid Aluminium Metal Matrix Composite

Effect of Turning Parameters and Reinforcement on the Surface Roughness of Hybrid Aluminium Metal Matrix Composite

Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy

Optimization of Essential Parameters in Green Sand Process to Minimize Persisting Casting Defects Using Taguchi Approach

Contact Info

Product

Resources

About