Support Vector Fuzzy Adaptive Network in the Modeling of Material Removal Rate in Rotary Ultrasonic Machining

Journal of Manufacturing Science and Engineering, Transactions of the ASME - United States
doi 10.1115/1.2951935
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ASME International

Related search

A Mechanistic Approach to the Prediction of Material Removal Rates in Rotary Ultrasonic Machining

Journal of Engineering for Industry
1995English

Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2017English

Material Removal Mechanism in Micro Ultrasonic Machining

Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Mechanical Engineering
2016English

The Kinematic Approach to Edge-Chipping in Rotary Ultrasonic Machining of Al2O3

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2019English

Improvement of Material Removal Rate of Ti-6Al-4v Alloy by Electrical Discharge Machining With Multiple Ultrasonic Vibration.

Keikinzoku/Journal of Japan Institute of Light Metals
Mechanics of MaterialsAlloysMaterials ChemistryMetalsMechanical Engineering
1997English

Electro-Discharge Machining of Alumina: Investigation of Material Removal Rate and Surface Roughness

Journal of Mechanical Engineering and Sciences
Mechanics of MaterialsIndustrialMechanical EngineeringEnergy EngineeringFuel TechnologyManufacturing EngineeringComputational MechanicsPower Technology
2017English

Rotary Ultrasonic Machining of CFRP Composites: A Study on Power Consumption

Ultrasonics
AcousticsUltrasonics
2012English

A Cutting Force Model for Rotary Ultrasonic Machining of Brittle Materials

International Journal of Machine Tools and Manufacture
IndustrialMechanical EngineeringManufacturing Engineering
2012English

Material Removal Rate and Tool Wear Rate on Machining of Inconel 718 Using Electrical Discharge Machine

Research & Development in Material Science
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy