Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert

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

"Experimentation on Tool Wear and Surface Roughness in AISI D2 Steel Turning with WC Insert"
written by N. López-Luiz, O. Jiménez Alemán, F. Alvarado Hernández, M. Montoya Dávila, V. H. Baltazar-Hernández,
published by Modern Mechanical Engineering, Vol.8 No.3, 2018

has been cited by the following article(s):

[1]	Investigation of Machining Performance of MQL and MQCL Hard Turning Using Nano Cutting Fluids
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[2]	A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials
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[3]	Experimental investigation and optimization of abrasive waterjet machining parameters for GFRP composites using metaphor-less algorithms
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[4]	Application of Utility Function Approach Aggregated with Imperialist Competitive Algorithm for Optimization of Turning Parameters of AISI D2 Steel
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[5]	Parametric Optimization and Modeling for Flank Wear of TiSiN-TiAlN Nanolaminate Cutting Insert
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[6]	Experimental Investigation on Tool Wear in AISI H13 Die Steel Turning Using RSM and ANN Methods
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[7]	Application of Utility Function Approach Aggregated with Imperialist Competitive Algorithm for Optimization of Turning
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[1]	A conceptual framework for sustainability impact assessment in machining bohler tool steel under hBN-enriched nano cutting fluids environment Sustainable Materials and Technologies, 2023 DOI:10.1016/j.susmat.2023.e00669

[2]	Investigation of Machining Performance of MQL and MQCL Hard Turning Using Nano Cutting Fluids Fluids, 2022 DOI:10.3390/fluids7050143

[3]	A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials The International Journal of Advanced Manufacturing Technology, 2022 DOI:10.1007/s00170-022-10391-0

[4]	Experimental investigation and optimization of abrasive waterjet machining parameters for GFRP composites using metaphor-less algorithms Materials and Manufacturing Processes, 2021 DOI:10.1080/10426914.2020.1866193

[5]	Recent Advances in Mechanical Infrastructure Lecture Notes in Intelligent Transportation and Infrastructure, 2020 DOI:10.1007/978-981-32-9971-9_6

[6]	Experimental Investigation on Tool Wear in AISI H13 Die Steel Turning Using RSM and ANN Methods Arabian Journal for Science and Engineering, 2020 DOI:10.1007/s13369-020-05038-9

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