Modeling and Numerical Simulation of Material Science

Modeling and Numerical Simulation of Material Science

ISSN Print: 2164-5345
ISSN Online: 2164-5353
www.scirp.org/journal/mnsms
E-mail: mnsms@scirp.org
"Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material"
written by V. Kalaichelvi, R. Karthikeyan, D. Sivakumar, V. Srinivasan,
published by Modeling and Numerical Simulation of Material Science, Vol.2 No.2, 2012
has been cited by the following article(s):
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[1] A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites
2020
[2] Evaluation of tool wear and machining performance by analyzing vibration signal in friction drilling
2020
[3] A Review of Artificial Intelligence Technologies to Achieve Machining Objectives
2019
[4] A Review on Application of Soft Computing Techniques in Machining of Particle Reinforcement Metal Matrix Composites
2019
[5] A review on machining and optimization of particle-reinforced metal matrix composites
The International Journal of Advanced Manufacturing Technology, 2018
[6] Microstructure and Thermal Physical Properties of a β-SiCp/Al Composite for Electronic Packaging Produced by Powder Metallurgy.
Key Engineering Materials, 2017
[7] PREDICTION OF ROUGHNESS AND TOOL WEAR IN TURNING OF METAL MATRIX NANOCOMPOSITES
2017
[8] Microstructure and Thermal Physical Properties of a βSiCp/Al Composite for Electronic Packaging Produced by Powder Metallurgy
2017
[9] Manufacturing knowledge management based on STEP-NC standard: a Closed-Loop Manufacturing approach
Cogent Food & Agriculture, 2016
[10] Ingénierie de la chaîne numérique d'industrialisation: proposition d'un modèle d'interopérabilité pour la conception-fabrication intégrées
Thesis, 2015
[11] Thèse présentée pour l'obtention du grade de Docteur de l'UTC
Thesis, 2015
[12] Microstructure and properties of SiC p
The Chinese Journal of Nonferrous Metals, 2015
[13] A grey-fuzzy approach for optimizing machining parameters and the approach angle in turning AISI 1045 steel
Advances in Production Engineering & Management, 2015
[14] Microstructure and properties of electronic packaging shell with high silicon carbide aluminum-base composites by semi-solid thixoforming
Journal of Central South University, 2014
[15] 液固分离法近净成形 SiCp/Al 电子封装壳体的组织和性能
中国有色金属学报: 英文版, 2014
[16] Microstructure and properties of SiCp/Al electronic packaging shell produced by liquid–solid separation
Transactions of Nonferrous Metals Society of China, 2014
[17] Prediction of dimensional deviation of workpiece using regression, ANN and PSO models in turning operation
Tehnički vjesnik, 2014
[18] Tool flank wear recognition based on the variation of milling force vector in end milling
Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME International Conference on, 2014
[19] Prediction of dimensional deviation of workpiece using regression, ANN and PSO models in turning operation/Predvidanje dimenzionalnih devijacija …
2014
[20] Microstructure and properties of SiCp/Al electronic packaging shell produced by liquid–solid separation
Transactions of Nonferrous Metals Society of China, 2014
[21] Predviđanje dimenzionalnih devijacija obratka primjenom regresijskih, ANN i PSO modela u postupku tokarenja
Tehni?ki vjesnik, 2014
[22] Tool wear monitoring by emitted sound analysis using hilbert huang transform and competitive neural network
ProQuest Dissertations Publishing, 2014
[23] 半固态触变成形制备 SiCp/Al 电子封装复合材料的组织与性能
铸造, 2013
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