Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining

Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining

Extensive research in smart manufacturing and industrial grinding has targeted the enhancement of surface roughness for diverse materials including Inconel alloy. Recent studies have concentrated on the development of neural networks, as a subcategory of machine learning techniques, to predict non-l...

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Bibliographic Details
Main Authors: Mohammadjafar Hadad, Samareh Attarsharghi, Mohsen Dehghanpour Abyaneh, Parviz Narimani, Javad Makarian, Alireza Saberi, Amir Alinaghizadeh
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
artificial neural network
grinding
Industrial Internet of Things
machine learning
modeling
sustainable manufacturing
Online Access:https://www.mdpi.com/2504-4494/8/1/41

Internet

https://www.mdpi.com/2504-4494/8/1/41

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