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

<p dir="ltr">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...

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Bibliographic Details
Main Author: Mohammadjafar Hadad (21142499) (author)
Other Authors: Samareh Attarsharghi (21086036) (author), Mohsen Dehghanpour Abyaneh (21225185) (author), Parviz Narimani (21225188) (author), Javad Makarian (17541351) (author), Alireza Saberi (21225191) (author), Amir Alinaghizadeh (17541357) (author)
Published: 2024
Subjects:
Engineering
Control engineering, mechatronics and robotics
Environmental engineering
Manufacturing engineering
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
artificial neural network
grinding
Industrial Internet of Things
machine learning
modeling
sustainable manufacturing
surface roughness
superalloys
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