Application of Artificial Neural Network and Response Surface Methodology in Modeling of Surface Roughness in WS2 Solid Lubricant Assisted MQL Turning of Inconel 718-Reference-Cited by-同舟云学术

Application of Artificial Neural Network and Response Surface Methodology in Modeling of Surface Roughness in WS2 Solid Lubricant Assisted MQL Turning of Inconel 718

Published:2018-04 Issue: Volume:346 Page:012085
ISSN:1757-8981
Container-title:IOP Conference Series: Materials Science and Engineering
language:
Short-container-title:IOP Conf. Ser.: Mater. Sci. Eng.

Author:

Reddy Paturi Uma Maheshwera,Devarasetti Harish,Fadare David Abimbola,Reddy Narala Suresh Kumar

Publisher

IOP Publishing

Subject

General Medicine

Link

http://stacks.iop.org/1757-899X/346/i=1/a=012085/pdf

Reference25 articles.

1. Measurement and Analysis of Surface Roughness in WS2 Solid Lubricant Assisted Minimum Quantity Lubrication (MQL) Turning of Inconel 718

2. Tool-life and wear mechanisms of CBN tools in machining of Inconel 718

3. ANN tool wear modelling in the machining of nickel superalloy industrial products

4. Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining

5. Deformation Characteristics of Nickel Alloys During Machining

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