Artificial Neural Networks for Controlling the Temperature of Internally Cooled Turning Tools

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ISSN Print: 2164-0165
ISSN Online: 2164-0181
www.scirp.org/journal/mme
E-mail: mme@scirp.org

"Artificial Neural Networks for Controlling the Temperature of Internally Cooled Turning Tools"
written by Frank Wardle, Timothy Minton, Saiful Bin Che Ghani, Paul Fϋrstmann, Martin Roeder, Sebastian Richarz, Fiona Sammler,
published by Modern Mechanical Engineering, Vol.3 No.2A, 2013

has been cited by the following article(s):

[1]	Experimental study on internal cooling system in hard turning of HCWCI using CBN tools
	AIP Conference Proceedings, 2018

[2]	Dimensional accuracy of internal cooling channel made by selective laser melting (SLM) And direct metal laser sintering (DMLS) processes in fabrication of internally …
	The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016), 2017

[3]	Dimensional accuracy of internal cooling channel made by selective laser melting (SLM) And direct metal laser sintering (DMLS) processes in fabrication of internally …
	The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016), 2017

[4]	Fabrication of Aluminium Internally Cooled Cutting Tool by Means of Selective Laser Melting (SLM)
	2017

[5]	Numerical Analysis of Internal Flow Embedded in a Cutting Tool
	2015

[6]	PREDICTION OF CUTTING ZONE TEMPERATURE IN HIGH-PRESSURE ASSISTED TURNING USING GA AND PSO BASED ANN
	D Cica, B Sredanovic, D Kramar - jpe.ftn.uns.ac.rs, 2014

[1]	The Design and Performance of Internally Cooled Cutting Tools for Turning: A Literature Review Latvian Journal of Physics and Technical Sciences, 2023 DOI:10.2478/lpts-2023-0032

[2]	Experimental study on internal cooling system in hard turning of HCWCI using CBN tools 2018 DOI:10.1063/1.5029629

[3]	Dimensional accuracy of internal cooling channel made by selective laser melting (SLM) And direct metal laser sintering (DMLS) processes in fabrication of internally cooled cutting tools MATEC Web of Conferences, 2017 DOI:10.1051/matecconf/20179001058

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