Data-Driven Modeling and Prediction Analysis for Surface Roughness of Special-Shaped Stone by Robotic Grinding-Reference-Cited by-同舟云学术

Data-Driven Modeling and Prediction Analysis for Surface Roughness of Special-Shaped Stone by Robotic Grinding

Published:2022 Issue: Volume:10 Page:67615-67629
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yin Fangchen¹^ORCID,Ji Qingzhi¹^ORCID,Cun Changcai¹^ORCID

Affiliation:

1. National and Local Joint Engineering Research Center for Intelligent Manufacturing Technology of Brittle Material Products, Huaqiao University, Xiamen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09786766.pdf?arnumber=9786766

Reference27 articles.

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2. A novel fabrication method for the mold insert of microlens arrays by hot embossing molding

3. Study on surface roughness model and surface forming mechanism of ceramics in quick point grinding

4. Research on the influence of NC quick-point grinding parameters to complex rotator surface roughness;wang;Appl Mech Mater,2014

5. Prediction and optimization of surface roughness and micro-hardness using grnn and MOORA-fuzzy-a MCDM approach for nitinol in WEDM

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