Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results
Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flo...
Gespeichert in:
Veröffentlicht in: | Processes 2023-09, Vol.11 (9), p.2690 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 9 |
container_start_page | 2690 |
container_title | Processes |
container_volume | 11 |
creator | Fritsching, Udo Buss, Lizoel Tonn, Teresa Schumski, Lukas Gakovi, Jurgen Hatscher, Johnson David Sölter, Jens Avila, Kerstin Karpuschewski, Bernhard Gerken, Julian Frederic Wolf, Tobias Biermann, Dirk Menze, Christian Möhring, Hans-Christian Tchoupe, Elio Heidemanns, Lukas Herrig, Tim Klink, Andreas Nabbout, Kaissar Sommerfeld, Martin Luther, Fabian Schaarschmidt, Ingo Schubert, Andreas Richter, Markus |
description | Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flow to operate. However, in those machining operations, a fundamental understanding of the mode of action of MWF is lacking due to the unknown flow dynamics and its interaction with the material removal during the process. Important information on the behaviour of MWFs during machining can be obtained from specific experimental flow visualisation studies. In this paper, promising flow visualisation analysis techniques applied to exemplary machining processes (grinding, sawing, drilling, and electrochemical machining) are presented and discussed. Shadowgraph imaging and flow measurements, e.g., particle image velocimetry, allow the identification of typical flow and MWF operating regimes in the different machining processes. Based on the identification of these regimes, efficient machining parameters and MWF applications can be derived. In addition, detailed experimental analyses of MWFs provide essential data for the input and validation of model development and numerical simulations within the Priority Programme SPP 2231 FluSimPro. |
doi_str_mv | 10.3390/pr11092690 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2869554728</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A771812100</galeid><sourcerecordid>A771812100</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-f716967053927321c509f0b199f3d080883650974fcbf355f4cd918218829db73</originalsourceid><addsrcrecordid>eNpNkctKAzEUhgdRsNRufIIBd8JoLjOTZFlKq0JF8bYd0kxSU9PJmEwsLgQfwif0SUw7gp6zOBe-_z-LkyTHEJxhzMB56yAEDJUM7CUDhBDJGIFk_19_mIy8X4EYDGJalIPkY2bsJn3SPnCjPe-0bVLe1On0jZvQj_ddqLX0aWyvZcfNxroX3SzTmQm6Tsdta7TYkT7VEeFNUFx0wW2ZW2eF9F7678-vKH62td_Z30kfTOePkgPFjZej3zpMHmfTh8llNr-5uJqM55nAOO8yRWDJSgIKzBDBCIoCMAUWkDGFa0ABpbiMK5IrsVC4KFQuagYpgpQiVi8IHiYnvW_r7GuQvqtWNrgmnqwQLVlR5ATRSJ311JIbWelG2c5xEbOWay1sI5WO-zEhkEIEAYiC014gnPXeSVW1Tq-5e68gqLYvqf5egn8A2S9_Sw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2869554728</pqid></control><display><type>article</type><title>Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Fritsching, Udo ; Buss, Lizoel ; Tonn, Teresa ; Schumski, Lukas ; Gakovi, Jurgen ; Hatscher, Johnson David ; Sölter, Jens ; Avila, Kerstin ; Karpuschewski, Bernhard ; Gerken, Julian Frederic ; Wolf, Tobias ; Biermann, Dirk ; Menze, Christian ; Möhring, Hans-Christian ; Tchoupe, Elio ; Heidemanns, Lukas ; Herrig, Tim ; Klink, Andreas ; Nabbout, Kaissar ; Sommerfeld, Martin ; Luther, Fabian ; Schaarschmidt, Ingo ; Schubert, Andreas ; Richter, Markus</creator><creatorcontrib>Fritsching, Udo ; Buss, Lizoel ; Tonn, Teresa ; Schumski, Lukas ; Gakovi, Jurgen ; Hatscher, Johnson David ; Sölter, Jens ; Avila, Kerstin ; Karpuschewski, Bernhard ; Gerken, Julian Frederic ; Wolf, Tobias ; Biermann, Dirk ; Menze, Christian ; Möhring, Hans-Christian ; Tchoupe, Elio ; Heidemanns, Lukas ; Herrig, Tim ; Klink, Andreas ; Nabbout, Kaissar ; Sommerfeld, Martin ; Luther, Fabian ; Schaarschmidt, Ingo ; Schubert, Andreas ; Richter, Markus</creatorcontrib><description>Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flow to operate. However, in those machining operations, a fundamental understanding of the mode of action of MWF is lacking due to the unknown flow dynamics and its interaction with the material removal during the process. Important information on the behaviour of MWFs during machining can be obtained from specific experimental flow visualisation studies. In this paper, promising flow visualisation analysis techniques applied to exemplary machining processes (grinding, sawing, drilling, and electrochemical machining) are presented and discussed. Shadowgraph imaging and flow measurements, e.g., particle image velocimetry, allow the identification of typical flow and MWF operating regimes in the different machining processes. Based on the identification of these regimes, efficient machining parameters and MWF applications can be derived. In addition, detailed experimental analyses of MWFs provide essential data for the input and validation of model development and numerical simulations within the Priority Programme SPP 2231 FluSimPro.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr11092690</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Cameras ; Drilling ; Electrochemical machining ; Electronics industry ; Environmental impact ; Field study ; Flow visualization ; Grinding ; Information processing ; Machining ; Manufacturing ; Mathematical models ; Metal products industry ; Metalworking fluids ; Methods ; Numerical analysis ; Parameter identification ; Particle image velocimetry ; Process parameters ; Production processes ; Sawing ; Simulation methods ; Visualization</subject><ispartof>Processes, 2023-09, Vol.11 (9), p.2690</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-f716967053927321c509f0b199f3d080883650974fcbf355f4cd918218829db73</citedby><cites>FETCH-LOGICAL-c334t-f716967053927321c509f0b199f3d080883650974fcbf355f4cd918218829db73</cites><orcidid>0000-0003-1869-2060 ; 0000-0002-1486-6169 ; 0000-0003-1432-3647 ; 0000-0001-8120-5646 ; 0000-0002-7396-8413 ; 0000-0001-8215-0093 ; 0009-0009-9728-3214 ; 0000-0002-4769-4885 ; 0000-0002-3188-5206 ; 0000-0003-3167-3657</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Fritsching, Udo</creatorcontrib><creatorcontrib>Buss, Lizoel</creatorcontrib><creatorcontrib>Tonn, Teresa</creatorcontrib><creatorcontrib>Schumski, Lukas</creatorcontrib><creatorcontrib>Gakovi, Jurgen</creatorcontrib><creatorcontrib>Hatscher, Johnson David</creatorcontrib><creatorcontrib>Sölter, Jens</creatorcontrib><creatorcontrib>Avila, Kerstin</creatorcontrib><creatorcontrib>Karpuschewski, Bernhard</creatorcontrib><creatorcontrib>Gerken, Julian Frederic</creatorcontrib><creatorcontrib>Wolf, Tobias</creatorcontrib><creatorcontrib>Biermann, Dirk</creatorcontrib><creatorcontrib>Menze, Christian</creatorcontrib><creatorcontrib>Möhring, Hans-Christian</creatorcontrib><creatorcontrib>Tchoupe, Elio</creatorcontrib><creatorcontrib>Heidemanns, Lukas</creatorcontrib><creatorcontrib>Herrig, Tim</creatorcontrib><creatorcontrib>Klink, Andreas</creatorcontrib><creatorcontrib>Nabbout, Kaissar</creatorcontrib><creatorcontrib>Sommerfeld, Martin</creatorcontrib><creatorcontrib>Luther, Fabian</creatorcontrib><creatorcontrib>Schaarschmidt, Ingo</creatorcontrib><creatorcontrib>Schubert, Andreas</creatorcontrib><creatorcontrib>Richter, Markus</creatorcontrib><title>Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results</title><title>Processes</title><description>Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flow to operate. However, in those machining operations, a fundamental understanding of the mode of action of MWF is lacking due to the unknown flow dynamics and its interaction with the material removal during the process. Important information on the behaviour of MWFs during machining can be obtained from specific experimental flow visualisation studies. In this paper, promising flow visualisation analysis techniques applied to exemplary machining processes (grinding, sawing, drilling, and electrochemical machining) are presented and discussed. Shadowgraph imaging and flow measurements, e.g., particle image velocimetry, allow the identification of typical flow and MWF operating regimes in the different machining processes. Based on the identification of these regimes, efficient machining parameters and MWF applications can be derived. In addition, detailed experimental analyses of MWFs provide essential data for the input and validation of model development and numerical simulations within the Priority Programme SPP 2231 FluSimPro.</description><subject>Accuracy</subject><subject>Cameras</subject><subject>Drilling</subject><subject>Electrochemical machining</subject><subject>Electronics industry</subject><subject>Environmental impact</subject><subject>Field study</subject><subject>Flow visualization</subject><subject>Grinding</subject><subject>Information processing</subject><subject>Machining</subject><subject>Manufacturing</subject><subject>Mathematical models</subject><subject>Metal products industry</subject><subject>Metalworking fluids</subject><subject>Methods</subject><subject>Numerical analysis</subject><subject>Parameter identification</subject><subject>Particle image velocimetry</subject><subject>Process parameters</subject><subject>Production processes</subject><subject>Sawing</subject><subject>Simulation methods</subject><subject>Visualization</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkctKAzEUhgdRsNRufIIBd8JoLjOTZFlKq0JF8bYd0kxSU9PJmEwsLgQfwif0SUw7gp6zOBe-_z-LkyTHEJxhzMB56yAEDJUM7CUDhBDJGIFk_19_mIy8X4EYDGJalIPkY2bsJn3SPnCjPe-0bVLe1On0jZvQj_ddqLX0aWyvZcfNxroX3SzTmQm6Tsdta7TYkT7VEeFNUFx0wW2ZW2eF9F7678-vKH62td_Z30kfTOePkgPFjZej3zpMHmfTh8llNr-5uJqM55nAOO8yRWDJSgIKzBDBCIoCMAUWkDGFa0ABpbiMK5IrsVC4KFQuagYpgpQiVi8IHiYnvW_r7GuQvqtWNrgmnqwQLVlR5ATRSJ311JIbWelG2c5xEbOWay1sI5WO-zEhkEIEAYiC014gnPXeSVW1Tq-5e68gqLYvqf5egn8A2S9_Sw</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Fritsching, Udo</creator><creator>Buss, Lizoel</creator><creator>Tonn, Teresa</creator><creator>Schumski, Lukas</creator><creator>Gakovi, Jurgen</creator><creator>Hatscher, Johnson David</creator><creator>Sölter, Jens</creator><creator>Avila, Kerstin</creator><creator>Karpuschewski, Bernhard</creator><creator>Gerken, Julian Frederic</creator><creator>Wolf, Tobias</creator><creator>Biermann, Dirk</creator><creator>Menze, Christian</creator><creator>Möhring, Hans-Christian</creator><creator>Tchoupe, Elio</creator><creator>Heidemanns, Lukas</creator><creator>Herrig, Tim</creator><creator>Klink, Andreas</creator><creator>Nabbout, Kaissar</creator><creator>Sommerfeld, Martin</creator><creator>Luther, Fabian</creator><creator>Schaarschmidt, Ingo</creator><creator>Schubert, Andreas</creator><creator>Richter, Markus</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-1869-2060</orcidid><orcidid>https://orcid.org/0000-0002-1486-6169</orcidid><orcidid>https://orcid.org/0000-0003-1432-3647</orcidid><orcidid>https://orcid.org/0000-0001-8120-5646</orcidid><orcidid>https://orcid.org/0000-0002-7396-8413</orcidid><orcidid>https://orcid.org/0000-0001-8215-0093</orcidid><orcidid>https://orcid.org/0009-0009-9728-3214</orcidid><orcidid>https://orcid.org/0000-0002-4769-4885</orcidid><orcidid>https://orcid.org/0000-0002-3188-5206</orcidid><orcidid>https://orcid.org/0000-0003-3167-3657</orcidid></search><sort><creationdate>20230901</creationdate><title>Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results</title><author>Fritsching, Udo ; Buss, Lizoel ; Tonn, Teresa ; Schumski, Lukas ; Gakovi, Jurgen ; Hatscher, Johnson David ; Sölter, Jens ; Avila, Kerstin ; Karpuschewski, Bernhard ; Gerken, Julian Frederic ; Wolf, Tobias ; Biermann, Dirk ; Menze, Christian ; Möhring, Hans-Christian ; Tchoupe, Elio ; Heidemanns, Lukas ; Herrig, Tim ; Klink, Andreas ; Nabbout, Kaissar ; Sommerfeld, Martin ; Luther, Fabian ; Schaarschmidt, Ingo ; Schubert, Andreas ; Richter, Markus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-f716967053927321c509f0b199f3d080883650974fcbf355f4cd918218829db73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Cameras</topic><topic>Drilling</topic><topic>Electrochemical machining</topic><topic>Electronics industry</topic><topic>Environmental impact</topic><topic>Field study</topic><topic>Flow visualization</topic><topic>Grinding</topic><topic>Information processing</topic><topic>Machining</topic><topic>Manufacturing</topic><topic>Mathematical models</topic><topic>Metal products industry</topic><topic>Metalworking fluids</topic><topic>Methods</topic><topic>Numerical analysis</topic><topic>Parameter identification</topic><topic>Particle image velocimetry</topic><topic>Process parameters</topic><topic>Production processes</topic><topic>Sawing</topic><topic>Simulation methods</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fritsching, Udo</creatorcontrib><creatorcontrib>Buss, Lizoel</creatorcontrib><creatorcontrib>Tonn, Teresa</creatorcontrib><creatorcontrib>Schumski, Lukas</creatorcontrib><creatorcontrib>Gakovi, Jurgen</creatorcontrib><creatorcontrib>Hatscher, Johnson David</creatorcontrib><creatorcontrib>Sölter, Jens</creatorcontrib><creatorcontrib>Avila, Kerstin</creatorcontrib><creatorcontrib>Karpuschewski, Bernhard</creatorcontrib><creatorcontrib>Gerken, Julian Frederic</creatorcontrib><creatorcontrib>Wolf, Tobias</creatorcontrib><creatorcontrib>Biermann, Dirk</creatorcontrib><creatorcontrib>Menze, Christian</creatorcontrib><creatorcontrib>Möhring, Hans-Christian</creatorcontrib><creatorcontrib>Tchoupe, Elio</creatorcontrib><creatorcontrib>Heidemanns, Lukas</creatorcontrib><creatorcontrib>Herrig, Tim</creatorcontrib><creatorcontrib>Klink, Andreas</creatorcontrib><creatorcontrib>Nabbout, Kaissar</creatorcontrib><creatorcontrib>Sommerfeld, Martin</creatorcontrib><creatorcontrib>Luther, Fabian</creatorcontrib><creatorcontrib>Schaarschmidt, Ingo</creatorcontrib><creatorcontrib>Schubert, Andreas</creatorcontrib><creatorcontrib>Richter, Markus</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fritsching, Udo</au><au>Buss, Lizoel</au><au>Tonn, Teresa</au><au>Schumski, Lukas</au><au>Gakovi, Jurgen</au><au>Hatscher, Johnson David</au><au>Sölter, Jens</au><au>Avila, Kerstin</au><au>Karpuschewski, Bernhard</au><au>Gerken, Julian Frederic</au><au>Wolf, Tobias</au><au>Biermann, Dirk</au><au>Menze, Christian</au><au>Möhring, Hans-Christian</au><au>Tchoupe, Elio</au><au>Heidemanns, Lukas</au><au>Herrig, Tim</au><au>Klink, Andreas</au><au>Nabbout, Kaissar</au><au>Sommerfeld, Martin</au><au>Luther, Fabian</au><au>Schaarschmidt, Ingo</au><au>Schubert, Andreas</au><au>Richter, Markus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results</atitle><jtitle>Processes</jtitle><date>2023-09-01</date><risdate>2023</risdate><volume>11</volume><issue>9</issue><spage>2690</spage><pages>2690-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>Metalworking operations rely on the successful application of metalworking fluids (MWFs) for effective and efficient operation. Processes such as grinding or drilling often require the use of MWFs for cooling, lubrication, and chip removal. Electrochemical machining processes require electrolyte flow to operate. However, in those machining operations, a fundamental understanding of the mode of action of MWF is lacking due to the unknown flow dynamics and its interaction with the material removal during the process. Important information on the behaviour of MWFs during machining can be obtained from specific experimental flow visualisation studies. In this paper, promising flow visualisation analysis techniques applied to exemplary machining processes (grinding, sawing, drilling, and electrochemical machining) are presented and discussed. Shadowgraph imaging and flow measurements, e.g., particle image velocimetry, allow the identification of typical flow and MWF operating regimes in the different machining processes. Based on the identification of these regimes, efficient machining parameters and MWF applications can be derived. In addition, detailed experimental analyses of MWFs provide essential data for the input and validation of model development and numerical simulations within the Priority Programme SPP 2231 FluSimPro.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/pr11092690</doi><orcidid>https://orcid.org/0000-0003-1869-2060</orcidid><orcidid>https://orcid.org/0000-0002-1486-6169</orcidid><orcidid>https://orcid.org/0000-0003-1432-3647</orcidid><orcidid>https://orcid.org/0000-0001-8120-5646</orcidid><orcidid>https://orcid.org/0000-0002-7396-8413</orcidid><orcidid>https://orcid.org/0000-0001-8215-0093</orcidid><orcidid>https://orcid.org/0009-0009-9728-3214</orcidid><orcidid>https://orcid.org/0000-0002-4769-4885</orcidid><orcidid>https://orcid.org/0000-0002-3188-5206</orcidid><orcidid>https://orcid.org/0000-0003-3167-3657</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2227-9717 |
ispartof | Processes, 2023-09, Vol.11 (9), p.2690 |
issn | 2227-9717 2227-9717 |
language | eng |
recordid | cdi_proquest_journals_2869554728 |
source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Accuracy Cameras Drilling Electrochemical machining Electronics industry Environmental impact Field study Flow visualization Grinding Information processing Machining Manufacturing Mathematical models Metal products industry Metalworking fluids Methods Numerical analysis Parameter identification Particle image velocimetry Process parameters Production processes Sawing Simulation methods Visualization |
title | Flow Visualisation and Evaluation Studies on Metalworking Fluid Applications in Manufacturing Processes—Methods and Results |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T19%3A53%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Flow%20Visualisation%20and%20Evaluation%20Studies%20on%20Metalworking%20Fluid%20Applications%20in%20Manufacturing%20Processes%E2%80%94Methods%20and%20Results&rft.jtitle=Processes&rft.au=Fritsching,%20Udo&rft.date=2023-09-01&rft.volume=11&rft.issue=9&rft.spage=2690&rft.pages=2690-&rft.issn=2227-9717&rft.eissn=2227-9717&rft_id=info:doi/10.3390/pr11092690&rft_dat=%3Cgale_proqu%3EA771812100%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2869554728&rft_id=info:pmid/&rft_galeid=A771812100&rfr_iscdi=true |