Discriminant Analysis-based Parametric Study of an Electrical Discharge Machining Process
暂无分享,去创建一个
[1] Robert Pavur,et al. A new statistic in the one-way multivariate analysis of variance , 1985 .
[2] Pauline Ong,et al. Intelligent approach for process modelling and optimization on electrical discharge machining of polycrystalline diamond , 2018, J. Intell. Manuf..
[3] Liu Yong,et al. Research of EDM(Electrical Discharge Machining) Process Simulation Based on Grey Neural Network , 2012 .
[4] Thanh-Phong Dao,et al. Optimal Design of a Dragonfly-Inspired Compliant Joint for Camera Positioning System of Nanoindentation Tester Based on a Hybrid Integration of Jaya-ANFIS , 2018, Mathematical Problems in Engineering.
[5] Danna Zhou,et al. d. , 1840, Microbial pathogenesis.
[6] Ushasta Aich,et al. Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization , 2014 .
[7] Marcos Dipinto,et al. Discriminant analysis , 2020, Predictive Analytics.
[8] Anish Kumar,et al. Material Removal Rate, Electrode Wear Rate, and Surface Roughness Evaluation in Die Sinking EDM with Hollow Tool through Response Surface Methodology , 2014 .
[9] A. Schubert,et al. Enhancing Micro-EDM using Ultrasonic Vibration and Approaches for Machining of Nonconducting Ceramics , 2013 .
[10] Robert A. Eisenbeis,et al. PITFALLS IN THE APPLICATION OF DISCRIMINANT ANALYSIS IN BUSINESS, FINANCE, AND ECONOMICS , 1977 .
[11] K. W. LaBarge. Electrical discharge machining. , 1997, Journal of dental technology : the peer-reviewed publication of the National Association of Dental Laboratories.
[12] R. Gonzalez. Applied Multivariate Statistics for the Social Sciences , 2003 .
[13] R. N. Rai,et al. A Study Of Multiple Regression Analysis On Die Sinking Edm Machining Of Ex-Situ Developed Al-4.5cu-Sic Composite , 2018 .
[14] B. Singh,et al. Investigating the Influence of Process Parameters of ZNC EDM on Machinability of A6061/10% SiC Composite , 2013 .
[15] J. Paulo Davim,et al. Multiresponse optimization in wire electric discharge machining (WEDM) of HCHCr steel by integrating response surface methodology (RSM) with differential evolution (DE) , 2017 .
[16] Hao Jiang,et al. Research on Optimum Processing Parameter of EDM Based on Support Vector Machine , 2015 .
[17] J. P. Verma. Application of Discriminant Analysis: For Developing a Classification Model , 2013 .
[18] P. Alam,et al. H , 1887, High Explosives, Propellants, Pyrotechnics.
[19] B. R. Ravi Kumar,et al. Development Of Regression Model For Al6061+ Sic Tool And Optimization Of Process Parameters On Electro Discharge Machining , 2020 .
[20] R. N. Rai,et al. Study the Effect of Machining Process Parameters on Die-Sinking EDM for Al5083/B4C Composite , 2019 .
[21] Xianggui Qu,et al. Multivariate Data Analysis , 2007, Technometrics.
[22] Hieu Giang Le,et al. Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device , 2019, Mathematical Problems in Engineering.
[23] Sourabh Sinha,et al. Investigation of Material Removal Rate and Tool Wear Rate on Electrical Discharge Machining of Incoloy 800HT by using Response Surface Methodology , 2017 .
[24] Masoud Azadi Moghaddam,et al. Modeling and optimization of the electrical discharge machining process based on a combined artificial neural network and particle swarm optimization algorithm , 2019 .
[25] Prabhu Sethuramalingam,et al. Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode , 2017 .
[26] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.
[27] Suhas S. Joshi,et al. Investigations into performance of dry EDM using slotted electrodes , 2011 .
[28] Hamed Fazlollahtabar,et al. Fuzzy possibility regression integrated with fuzzy adaptive neural network for predicting and optimizing electrical discharge machining parameters , 2020, Comput. Ind. Eng..
[29] A. K. Sharma,et al. On Electro Discharge Machining of Inconel 718 with Hollow Tool , 2012, Journal of Materials Engineering and Performance.
[30] Pushpendra S. Bharti. Process modelling of electric discharge machining by back propagation and radial basis function neural network , 2019 .
[31] S Kumar,et al. Parametric optimization of powder mixed electrical discharge machining for nickel-based superalloy inconel-800 using response surface methodology , 2017 .
[33] S. Stafford,et al. Multivariate Statistics for Wildlife and Ecology Research , 2000, Springer New York.
[34] R. S. Mulik,et al. Study of Machining Performance in EDM Through Response Surface Methodology , 2019, Lecture Notes in Mechanical Engineering.
[35] J. Stevens. Applied Multivariate Statistics for the Social Sciences , 1986 .
[36] P. Alam. ‘K’ , 2021, Composites Engineering.
[37] Jayakrishna Kandasamy,et al. Dataset on optimization of EDM machining parameters by using central composite design , 2019, Data in brief.
[38] Kanmani Subbu Subbian,et al. Fabrication and experimental study to optimize the recast layer and the material removal in electric discharge machining (EDM) of AA6061-B4C composite , 2019, Materials Today: Proceedings.