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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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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 |
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