Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology
Magnetic abrasives are important parts of Magnetic Assisted Abrasive Finishing (MAF). Magnetic abrasives are prepared by many processes, but sintering is the one of the best processes to prepare magnetic abrasives. The objective of this paper is to optimize the sintering process parameters. To do th...
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Format: | Article |
Language: | English |
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Growing Science
2019-06-01
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Series: | International Journal of Data and Network Science |
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Online Access: | http://www.growingscience.com/ijds/Vol3/ijdns_2019_8.pdf |
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author | Mukesh Kumar Sehijpal Singh Harnam Singh Farwaha |
author_facet | Mukesh Kumar Sehijpal Singh Harnam Singh Farwaha |
author_sort | Mukesh Kumar |
collection | DOAJ |
description | Magnetic abrasives are important parts of Magnetic Assisted Abrasive Finishing (MAF). Magnetic abrasives are prepared by many processes, but sintering is the one of the best processes to prepare magnetic abrasives. The objective of this paper is to optimize the sintering process parameters. To do that, Response Surface Methodology (RSM) is used for the optimization of process parameters, Abrasive concentration in ferromagnetic particles (AC)%, Compacting Pressure (CP) N/mm2 and Sintering Time(ST)min. To check the performance of magnetic abrasives Percentage Improvement in Surface finish (PISF) is considered as a response variable. Optimization and prediction are executed through RSM and Central Composite Design (CCD) is used to conduct the experiments. The optimized values of process parameters obtained are AC (19.29%), ST (15min) and CP (6.9 N/mm2) and also predicted values for the response variable are obtained. |
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format | Article |
id | doaj.art-0924c0359eaa4c7bbea440421b0a81ce |
institution | Directory Open Access Journal |
issn | 2561-8148 2561-8156 |
language | English |
last_indexed | 2024-12-11T20:48:36Z |
publishDate | 2019-06-01 |
publisher | Growing Science |
record_format | Article |
series | International Journal of Data and Network Science |
spelling | doaj.art-0924c0359eaa4c7bbea440421b0a81ce2022-12-22T00:51:18ZengGrowing ScienceInternational Journal of Data and Network Science2561-81482561-81562019-06-013210310810.5267/j.ijdns.2018.12.005Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodologyMukesh KumarSehijpal SinghHarnam Singh FarwahaMagnetic abrasives are important parts of Magnetic Assisted Abrasive Finishing (MAF). Magnetic abrasives are prepared by many processes, but sintering is the one of the best processes to prepare magnetic abrasives. The objective of this paper is to optimize the sintering process parameters. To do that, Response Surface Methodology (RSM) is used for the optimization of process parameters, Abrasive concentration in ferromagnetic particles (AC)%, Compacting Pressure (CP) N/mm2 and Sintering Time(ST)min. To check the performance of magnetic abrasives Percentage Improvement in Surface finish (PISF) is considered as a response variable. Optimization and prediction are executed through RSM and Central Composite Design (CCD) is used to conduct the experiments. The optimized values of process parameters obtained are AC (19.29%), ST (15min) and CP (6.9 N/mm2) and also predicted values for the response variable are obtained.http://www.growingscience.com/ijds/Vol3/ijdns_2019_8.pdfMagnetic Abrasive FinishingPercentage Improvement in Surface FinishMagnetic Strength |
spellingShingle | Mukesh Kumar Sehijpal Singh Harnam Singh Farwaha Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology International Journal of Data and Network Science Magnetic Abrasive Finishing Percentage Improvement in Surface Finish Magnetic Strength |
title | Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
title_full | Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
title_fullStr | Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
title_full_unstemmed | Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
title_short | Optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
title_sort | optimization and prediction of sintering process parameters for magnetic abrasives preparation using response surface methodology |
topic | Magnetic Abrasive Finishing Percentage Improvement in Surface Finish Magnetic Strength |
url | http://www.growingscience.com/ijds/Vol3/ijdns_2019_8.pdf |
work_keys_str_mv | AT mukeshkumar optimizationandpredictionofsinteringprocessparametersformagneticabrasivespreparationusingresponsesurfacemethodology AT sehijpalsingh optimizationandpredictionofsinteringprocessparametersformagneticabrasivespreparationusingresponsesurfacemethodology AT harnamsinghfarwaha optimizationandpredictionofsinteringprocessparametersformagneticabrasivespreparationusingresponsesurfacemethodology |