Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling
The aim of this study is to determine the temperature distribution on cutting tool when machining HASTELLOY C-22HS with carbide coated cutting tool. Response Surface Method (RSM) used to minimize the number of experiments and to develop first order temperature model. Finite element analysis (FEA) wa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EuroJournals Publishing, Inc.
2009
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1462/1/2009_EJSR_30_3_11_KK_MMNoor_Temperature_Distribution-Jurnal-.pdf |
| _version_ | 1796989418936991744 |
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| author | K., Kadirgama M. M., Noor M. M., Rahman W. S., Wan Harun |
| author_facet | K., Kadirgama M. M., Noor M. M., Rahman W. S., Wan Harun |
| author_sort | K., Kadirgama |
| collection | UMP |
| description | The aim of this study is to determine the temperature distribution on cutting tool when machining HASTELLOY C-22HS with carbide coated cutting tool. Response Surface Method (RSM) used to minimize the number of experiments and to develop first order temperature model. Finite element analysis (FEA) was used to verification of the
temperature distribution on cutting tool. From FEA results show clearly that the relationship between the variables (cutting speed, feed rate and axial depth) with responses (temperature). From the first order model shows that cutting speed, feed rate and axial depth plays important role in producing cutting temperature. The feed rate has the most dominant parameter on the temperature, followed by the axial depth and cutting speed. The
results from FEA were compared with the experimental values. The predicted values are quite close to the experimental results, even though its accuracy is slightly inferior as Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling 452 compared to RSM. However, FEA is able to produce the temperature distribution around the cutting tool, in great detail. |
| first_indexed | 2024-03-06T11:36:49Z |
| format | Article |
| id | UMPir1462 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:36:49Z |
| publishDate | 2009 |
| publisher | EuroJournals Publishing, Inc. |
| record_format | dspace |
| spelling | UMPir14622018-01-25T01:15:06Z http://umpir.ump.edu.my/id/eprint/1462/ Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling K., Kadirgama M. M., Noor M. M., Rahman W. S., Wan Harun TJ Mechanical engineering and machinery The aim of this study is to determine the temperature distribution on cutting tool when machining HASTELLOY C-22HS with carbide coated cutting tool. Response Surface Method (RSM) used to minimize the number of experiments and to develop first order temperature model. Finite element analysis (FEA) was used to verification of the temperature distribution on cutting tool. From FEA results show clearly that the relationship between the variables (cutting speed, feed rate and axial depth) with responses (temperature). From the first order model shows that cutting speed, feed rate and axial depth plays important role in producing cutting temperature. The feed rate has the most dominant parameter on the temperature, followed by the axial depth and cutting speed. The results from FEA were compared with the experimental values. The predicted values are quite close to the experimental results, even though its accuracy is slightly inferior as Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling 452 compared to RSM. However, FEA is able to produce the temperature distribution around the cutting tool, in great detail. EuroJournals Publishing, Inc. 2009 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1462/1/2009_EJSR_30_3_11_KK_MMNoor_Temperature_Distribution-Jurnal-.pdf K., Kadirgama and M. M., Noor and M. M., Rahman and W. S., Wan Harun (2009) Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling. European Journal of Scientific Research, 30 (3). pp. 451-463. ISSN 1450-216X. (Published) |
| spellingShingle | TJ Mechanical engineering and machinery K., Kadirgama M. M., Noor M. M., Rahman W. S., Wan Harun Finite Element Analysis and Statistical Method to Determine Temperature Distribution on Cutting Tool in End-Milling |
| title | Finite Element Analysis and Statistical Method to Determine
Temperature Distribution on Cutting Tool in End-Milling
|
| title_full | Finite Element Analysis and Statistical Method to Determine
Temperature Distribution on Cutting Tool in End-Milling
|
| title_fullStr | Finite Element Analysis and Statistical Method to Determine
Temperature Distribution on Cutting Tool in End-Milling
|
| title_full_unstemmed | Finite Element Analysis and Statistical Method to Determine
Temperature Distribution on Cutting Tool in End-Milling
|
| title_short | Finite Element Analysis and Statistical Method to Determine
Temperature Distribution on Cutting Tool in End-Milling
|
| title_sort | finite element analysis and statistical method to determine temperature distribution on cutting tool in end milling |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/1462/1/2009_EJSR_30_3_11_KK_MMNoor_Temperature_Distribution-Jurnal-.pdf |
| work_keys_str_mv | AT kkadirgama finiteelementanalysisandstatisticalmethodtodeterminetemperaturedistributiononcuttingtoolinendmilling AT mmnoor finiteelementanalysisandstatisticalmethodtodeterminetemperaturedistributiononcuttingtoolinendmilling AT mmrahman finiteelementanalysisandstatisticalmethodtodeterminetemperaturedistributiononcuttingtoolinendmilling AT wswanharun finiteelementanalysisandstatisticalmethodtodeterminetemperaturedistributiononcuttingtoolinendmilling |