Cargando…

Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models

This study investigates self-propelled rotary tool (SPRT) performance in hard turning using 3D finite element (FE) models. The FE models developed in this study are based on coupled temperature-displacement analysis using an explicit time-integration scheme. The developed FE models can predict chip...

Descripción completa

Detalles Bibliográficos
Autores principales: Umer, Usama, Mian, Syed Hammad, Mohammed, Muneer Khan, Abidi, Mustufa Haider, Moiduddin, Khaja, Kishawy, Hossam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782531/
https://www.ncbi.nlm.nih.gov/pubmed/36556587
http://dx.doi.org/10.3390/ma15248781
_version_ 1784857365255815168
author Umer, Usama
Mian, Syed Hammad
Mohammed, Muneer Khan
Abidi, Mustufa Haider
Moiduddin, Khaja
Kishawy, Hossam
author_facet Umer, Usama
Mian, Syed Hammad
Mohammed, Muneer Khan
Abidi, Mustufa Haider
Moiduddin, Khaja
Kishawy, Hossam
author_sort Umer, Usama
collection PubMed
description This study investigates self-propelled rotary tool (SPRT) performance in hard turning using 3D finite element (FE) models. The FE models developed in this study are based on coupled temperature-displacement analysis using an explicit time-integration scheme. The developed FE models can predict chip morphology, cutting forces, tool and workpiece stresses and temperatures. For model verification, hard turning experiments were conducted using an SPRT on AISI 4340 bars. Cutting forces and maximum tool–chip interface temperatures were recorded and compared with the model findings. The effects of different process parameters were analyzed and discussed using the developed FE models. The FE models were run with a central composite design (CCD-25) matrix with four input variables, i.e., the cutting speed, the feed rate, the depth of the cut and the inclination angle. Response surfaces based on the Gaussian process were generated for each performance variable in order to predict design points not available in the original design of the experiment matrix. An optimization study was carried out to minimize tool stress and temperature while setting limits for the material removal rate (MRR) and specific cutting energy for the process. Optimized processes were found with moderate cutting speeds and feed rates and high depths of cut and inclination angles.
format Online
Article
Text
id pubmed-9782531
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97825312022-12-24 Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models Umer, Usama Mian, Syed Hammad Mohammed, Muneer Khan Abidi, Mustufa Haider Moiduddin, Khaja Kishawy, Hossam Materials (Basel) Article This study investigates self-propelled rotary tool (SPRT) performance in hard turning using 3D finite element (FE) models. The FE models developed in this study are based on coupled temperature-displacement analysis using an explicit time-integration scheme. The developed FE models can predict chip morphology, cutting forces, tool and workpiece stresses and temperatures. For model verification, hard turning experiments were conducted using an SPRT on AISI 4340 bars. Cutting forces and maximum tool–chip interface temperatures were recorded and compared with the model findings. The effects of different process parameters were analyzed and discussed using the developed FE models. The FE models were run with a central composite design (CCD-25) matrix with four input variables, i.e., the cutting speed, the feed rate, the depth of the cut and the inclination angle. Response surfaces based on the Gaussian process were generated for each performance variable in order to predict design points not available in the original design of the experiment matrix. An optimization study was carried out to minimize tool stress and temperature while setting limits for the material removal rate (MRR) and specific cutting energy for the process. Optimized processes were found with moderate cutting speeds and feed rates and high depths of cut and inclination angles. MDPI 2022-12-08 /pmc/articles/PMC9782531/ /pubmed/36556587 http://dx.doi.org/10.3390/ma15248781 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Umer, Usama
Mian, Syed Hammad
Mohammed, Muneer Khan
Abidi, Mustufa Haider
Moiduddin, Khaja
Kishawy, Hossam
Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title_full Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title_fullStr Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title_full_unstemmed Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title_short Self-Propelled Rotary Tools in Hard Turning: Analysis and Optimization via Finite Element Models
title_sort self-propelled rotary tools in hard turning: analysis and optimization via finite element models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782531/
https://www.ncbi.nlm.nih.gov/pubmed/36556587
http://dx.doi.org/10.3390/ma15248781
work_keys_str_mv AT umerusama selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels
AT miansyedhammad selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels
AT mohammedmuneerkhan selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels
AT abidimustufahaider selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels
AT moiduddinkhaja selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels
AT kishawyhossam selfpropelledrotarytoolsinhardturninganalysisandoptimizationviafiniteelementmodels