Nanofinishing of flat workpieces using rotational–magnetorheological abrasive flow finishing (R-MRAFF) process

Das, Manas; Jain, V. K.; Ghoshdastidar, P. S.

doi:10.1007/s00170-011-3808-2

Cited by 103 publications

(52 citation statements)

References 13 publications

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“…They considered the process parameters to be: hydraulic extrusion pressure`P ' (bar), number of nishing cycles`N', rotational speed of magnet`S' (RPM), and volume ratio of CIP/SiC`R'. The objective functions, process parameters, and process parameter bounds considered in this work are same as those considered by Das et al [8].…”

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 96%

“…The maximum value of % Ra SS and % Ra BR obtained by Das et al [8] using desirability function approach is reported in Tables 4 and 5, respectively. Now, the same problem is solved using Jaya algorithm by considering a population size of 10 and maximum number of function evaluations as 1000.…”

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

“…Das et al [8] applied desirability function approach to determine the optimum combination of process parameters for R-MRAFF process. The maximum value of % Ra SS and % Ra BR obtained by Das et al [8] using desirability function approach is reported in Tables 4 and 5, respectively.…”

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

“…The optimization problem formulated in this work is based on the empirical models developed by Das et al [8] for % Ra. They considered the process parameters to be: hydraulic extrusion pressure`P ' (bar), number of nishing cycles`N', rotational speed of magnet`S' (RPM), and volume ratio of CIP/SiC`R'.…”

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

See 3 more Smart Citations

A new optimization algorithm for parameter optimization of nano-finishing processes

2017

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Abstract. Material removal rate and surface roughness are the most important performance measures in nano-nishing processes, and these are largely in uenced by the process parameters. The optimum combination of process parameters for nano-nishing processes is determined in this paper using a recently proposed optimization algorithm, named as Jaya algorithm. The results show the better performance of the Jaya algorithm over the other approaches attempted by the previous researchers such as genetic algorithm and desirability function approach for the same nano-nishing processes. The results obtained by the Jaya algorithm are useful for the real production systems.

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Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 96%

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

Section: Optimization Of Process Parameters Of R-mraffmentioning

confidence: 99%

See 2 more Smart Citations

A new optimization algorithm for parameter optimization of nano-finishing processes

2017

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“…Y. Tani et al used electrophoretic deposition of silicon particles to polish silicon wafers and to process the glass [13]. Chen et al developed a screw polishing process that is the use of a high-speed screw-driven abrasive polishing of the workpiece surface technology [14][15][16]. After the study of the former scholars, this paper will combine electrophoresis and magnetic grinding of precision polishing technology after discharge processing, to provide equipment with simple and easy to operate composite polishing technology and effectively improve the work piece surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Study on Precision Polishing Technology Combining Electrophoresis and Magnetic Finishing

Liu

Yeh

et al. 2016

IJMSA

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Abstract:The aim of this paper is to improve the quality of surface roughness of precision molds, which is difficult to control in the traditional polishing technology, and to provide a kind of equipment which is simple and easy to operate in order to obtain a high precision in surface finishing and polishing. The combination of magnetic force polishing and electrophoretic polishing is mainly to combine the magnetic grinding mechanism with the electrophoretic deposition method to conduct finishing and polishing experiments. From the experimental results we can see that the combination of magnetic force and electrophoretic polishing can make the original roughness of the discharge surface of 1.7µm down to 0.08µm which is mirror effect after improving for 20 minutes. The experimental results show that the precision polishing combined with electrophoresis and magnetic grinding can effectively improve the surface roughness and therefore reduce technical and personnel training costs, shorten the production cycle time, and thus improve production efficiency. It can be concluded as a quite competitive technology in the industry.

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Introduction to Abrasive Based Machining and Finishing

Kibria

Shivakoti

Das

et al. 2020

Materials Forming, Machining and Tribology

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Nanofinishing of flat workpieces using rotational–magnetorheological abrasive flow finishing (R-MRAFF) process

Cited by 103 publications

References 13 publications

A new optimization algorithm for parameter optimization of nano-finishing processes

A new optimization algorithm for parameter optimization of nano-finishing processes

Study on Precision Polishing Technology Combining Electrophoresis and Magnetic Finishing

Introduction to Abrasive Based Machining and Finishing

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