Numerical model establishment and experimental study of milling head cooling water flow rate
The thermal error suppression rate depends on the cooling effect of the water cooling system, and the cooling water flow rate is a direct factor affecting the cooling effect. To better reduce the thermal error, a numerical model of cooling water is established to solve for the optimal cooling water...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2024-05, Vol.132 (3-4), p.1613-1625 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Dai, Ye Li, Yang Zhan, Shiqiang Li, Zhaolong Wang, Xin Li, Weiwei |
| description | The thermal error suppression rate depends on the cooling effect of the water cooling system, and the cooling water flow rate is a direct factor affecting the cooling effect. To better reduce the thermal error, a numerical model of cooling water is established to solve for the optimal cooling water flow rate. Firstly, a numerical model of thermal deformation of the pendulum angle milling head is established based on thermoelasticity theory to determine the main heat sources leading to thermal deformation. Then, a numerical analysis model of the cooling water flow rate is established to investigate the cooling water flow rate that has the best effect on the suppression of thermal errors. Finally, five flow rates are used for cooling experiments to verify the accuracy of the numerical model. The results show that the temperature of each measurement point increases with the flow rate from a significant decrease to the basic constant trend of gradual saturation. The reduction rate of thermal error at
v
=54 cm/s is as high as 73.4%, providing a theoretical basis for enterprises to optimize water cooling system parameters. |
| doi_str_mv | 10.1007/s00170-024-13308-1 |
| format | Article |
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v
=54 cm/s is as high as 73.4%, providing a theoretical basis for enterprises to optimize water cooling system parameters.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-024-13308-1</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Computer-Aided Engineering (CAD ; Cooling ; Cooling effects ; Cooling systems ; Cooling water ; Deformation ; Engineering ; Flow velocity ; Heat sources ; Industrial and Production Engineering ; Liquid cooling ; Mathematical models ; Mechanical Engineering ; Media Management ; Numerical analysis ; Numerical models ; Optimization ; Original Article ; Thermoelasticity ; Water flow</subject><ispartof>International journal of advanced manufacturing technology, 2024-05, Vol.132 (3-4), p.1613-1625</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-caa4e892fd5b6afa12504905366b06038027cb55dd328798db77e19dcc19c55a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-024-13308-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-024-13308-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Dai, Ye</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Zhan, Shiqiang</creatorcontrib><creatorcontrib>Li, Zhaolong</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Li, Weiwei</creatorcontrib><title>Numerical model establishment and experimental study of milling head cooling water flow rate</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The thermal error suppression rate depends on the cooling effect of the water cooling system, and the cooling water flow rate is a direct factor affecting the cooling effect. To better reduce the thermal error, a numerical model of cooling water is established to solve for the optimal cooling water flow rate. Firstly, a numerical model of thermal deformation of the pendulum angle milling head is established based on thermoelasticity theory to determine the main heat sources leading to thermal deformation. Then, a numerical analysis model of the cooling water flow rate is established to investigate the cooling water flow rate that has the best effect on the suppression of thermal errors. Finally, five flow rates are used for cooling experiments to verify the accuracy of the numerical model. The results show that the temperature of each measurement point increases with the flow rate from a significant decrease to the basic constant trend of gradual saturation. The reduction rate of thermal error at
v
=54 cm/s is as high as 73.4%, providing a theoretical basis for enterprises to optimize water cooling system parameters.</description><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Cooling</subject><subject>Cooling effects</subject><subject>Cooling systems</subject><subject>Cooling water</subject><subject>Deformation</subject><subject>Engineering</subject><subject>Flow velocity</subject><subject>Heat sources</subject><subject>Industrial and Production Engineering</subject><subject>Liquid cooling</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Numerical analysis</subject><subject>Numerical models</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Thermoelasticity</subject><subject>Water flow</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEUhYMoWKt_wFXAdfQmmUkySym-oOhGd0LIJJl2yjxqMkPtvzftCO5c3XvhO-dyDkLXFG4pgLyLAFQCAZYRyjkoQk_QjGacEw40P0UzYEIRLoU6RxcxbhIuqFAz9Pk6tj7U1jS47Z1vsI-DKZs6rlvfDdh0DvvvbSIOZ4LiMLo97ivc1k1Tdyu89sZh2_fHY2cGH3DV9Dsc0nqJzirTRH_1O-fo4_HhffFMlm9PL4v7JbFMwkCsMZlXBatcXgpTGcpyyArIuRAlCOAKmLRlnjvHmZKFcqWUnhbOWlrYPDd8jm4m323ov8aUQG_6MXTppeaQUSE5BZooNlE29DEGX-ltimXCXlPQhxb11KJOLepji_og4pMoJrhb-fBn_Y_qB9hfdW4</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Dai, Ye</creator><creator>Li, Yang</creator><creator>Zhan, Shiqiang</creator><creator>Li, Zhaolong</creator><creator>Wang, Xin</creator><creator>Li, Weiwei</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240501</creationdate><title>Numerical model establishment and experimental study of milling head cooling water flow rate</title><author>Dai, Ye ; Li, Yang ; Zhan, Shiqiang ; Li, Zhaolong ; Wang, Xin ; Li, Weiwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-caa4e892fd5b6afa12504905366b06038027cb55dd328798db77e19dcc19c55a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Cooling</topic><topic>Cooling effects</topic><topic>Cooling systems</topic><topic>Cooling water</topic><topic>Deformation</topic><topic>Engineering</topic><topic>Flow velocity</topic><topic>Heat sources</topic><topic>Industrial and Production Engineering</topic><topic>Liquid cooling</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Numerical analysis</topic><topic>Numerical models</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Thermoelasticity</topic><topic>Water flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dai, Ye</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Zhan, Shiqiang</creatorcontrib><creatorcontrib>Li, Zhaolong</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Li, Weiwei</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dai, Ye</au><au>Li, Yang</au><au>Zhan, Shiqiang</au><au>Li, Zhaolong</au><au>Wang, Xin</au><au>Li, Weiwei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical model establishment and experimental study of milling head cooling water flow rate</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>132</volume><issue>3-4</issue><spage>1613</spage><epage>1625</epage><pages>1613-1625</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The thermal error suppression rate depends on the cooling effect of the water cooling system, and the cooling water flow rate is a direct factor affecting the cooling effect. To better reduce the thermal error, a numerical model of cooling water is established to solve for the optimal cooling water flow rate. Firstly, a numerical model of thermal deformation of the pendulum angle milling head is established based on thermoelasticity theory to determine the main heat sources leading to thermal deformation. Then, a numerical analysis model of the cooling water flow rate is established to investigate the cooling water flow rate that has the best effect on the suppression of thermal errors. Finally, five flow rates are used for cooling experiments to verify the accuracy of the numerical model. The results show that the temperature of each measurement point increases with the flow rate from a significant decrease to the basic constant trend of gradual saturation. The reduction rate of thermal error at
v
=54 cm/s is as high as 73.4%, providing a theoretical basis for enterprises to optimize water cooling system parameters.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-024-13308-1</doi><tpages>13</tpages></addata></record> |
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| subjects | CAE) and Design Computer-Aided Engineering (CAD Cooling Cooling effects Cooling systems Cooling water Deformation Engineering Flow velocity Heat sources Industrial and Production Engineering Liquid cooling Mathematical models Mechanical Engineering Media Management Numerical analysis Numerical models Optimization Original Article Thermoelasticity Water flow |
| title | Numerical model establishment and experimental study of milling head cooling water flow rate |
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