COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS

The AFM process uses a self-deforming tool. In the areas where the flow is restricted the abrasion takes place removing the material and generating finer surfaces. As time passed, different kinds of AFM have been developed to maximize productivity and enhance the surface finish. Factors that influen...

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Autores principales:	Sai Venkata Phanindra Chary, Pavan Durga Sai Uppuluri
Formato:	article
Lenguaje:	EN
Publicado:	Yeshwantrao Chavan College of Engineering, India 2021
Materias:	abrasive flow machining self-deforming tool extrusion pressure surface roughness computational fluid dynamics Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/cbf2bccf8c5e4127aad09ec9eb384c73
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spelling	oai:doaj.org-article:cbf2bccf8c5e4127aad09ec9eb384c732021-11-26T10:13:19ZCOMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS10.46565/jreas.2021.v06i04.0042456-6403https://doaj.org/article/cbf2bccf8c5e4127aad09ec9eb384c732021-10-01T00:00:00Zhttp://www.mgijournal.com/Data/Issues_AdminPdf/305/ID%206.pdfhttps://doaj.org/toc/2456-6403The AFM process uses a self-deforming tool. In the areas where the flow is restricted the abrasion takes place removing the material and generating finer surfaces. As time passed, different kinds of AFM have been developed to maximize productivity and enhance the surface finish. Factors that influence the material removal and surface finish in the AFM process are particle size, extrusion pressure, piston velocity, and media viscosity. Carrying out experiments for all the process parameters and obtaining better process parameters of AFM, precisely, in less time is tough to achieve. Computational Fluid Dynamics (CFD) simulation was employed to determine machining parameters. In this project, the parameters obtained theoretically and from the CFD simulation are compared with the available experimental data and then the better machining parameters for the surgical implant materials ASTM F1537 wrought Co-28Cr-6Mo alloy and Ti6Al4V alloy were also determined by using CFD simulation.Sai Venkata Phanindra CharyPavan Durga Sai UppuluriYeshwantrao Chavan College of Engineering, Indiaarticleabrasive flow machiningself-deforming toolextrusion pressuresurface roughnesscomputational fluid dynamicsElectrical engineering. Electronics. Nuclear engineeringTK1-9971Mechanical engineering and machineryTJ1-1570ENJournal of Research in Engineering and Applied Sciences, Vol 6, Iss 4, Pp 165-171 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	abrasive flow machining self-deforming tool extrusion pressure surface roughness computational fluid dynamics Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570
spellingShingle	abrasive flow machining self-deforming tool extrusion pressure surface roughness computational fluid dynamics Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570 Sai Venkata Phanindra Chary Pavan Durga Sai Uppuluri COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
description	The AFM process uses a self-deforming tool. In the areas where the flow is restricted the abrasion takes place removing the material and generating finer surfaces. As time passed, different kinds of AFM have been developed to maximize productivity and enhance the surface finish. Factors that influence the material removal and surface finish in the AFM process are particle size, extrusion pressure, piston velocity, and media viscosity. Carrying out experiments for all the process parameters and obtaining better process parameters of AFM, precisely, in less time is tough to achieve. Computational Fluid Dynamics (CFD) simulation was employed to determine machining parameters. In this project, the parameters obtained theoretically and from the CFD simulation are compared with the available experimental data and then the better machining parameters for the surgical implant materials ASTM F1537 wrought Co-28Cr-6Mo alloy and Ti6Al4V alloy were also determined by using CFD simulation.
format	article
author	Sai Venkata Phanindra Chary Pavan Durga Sai Uppuluri
author_facet	Sai Venkata Phanindra Chary Pavan Durga Sai Uppuluri
author_sort	Sai Venkata Phanindra Chary
title	COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
title_short	COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
title_full	COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
title_fullStr	COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
title_full_unstemmed	COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS
title_sort	computational fluid dynamics simulation of abrasive flow machining of biomaterials
publisher	Yeshwantrao Chavan College of Engineering, India
publishDate	2021
url	https://doaj.org/article/cbf2bccf8c5e4127aad09ec9eb384c73
work_keys_str_mv	AT saivenkataphanindrachary computationalfluiddynamicssimulationofabrasiveflowmachiningofbiomaterials AT pavandurgasaiuppuluri computationalfluiddynamicssimulationofabrasiveflowmachiningofbiomaterials
_version_	1718409683095519232

COMPUTATIONAL FLUID DYNAMICS SIMULATION OF ABRASIVE FLOW MACHINING OF BIOMATERIALS

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