Data driven robust optimization of grinding process under uncertainty-Reference-Cited by-同舟云学术

Data driven robust optimization of grinding process under uncertainty

Published:2020-08-18 Issue:16 Volume:35 Page:1870-1876
ISSN:1042-6914
Container-title:Materials and Manufacturing Processes
language:en
Short-container-title:Materials and Manufacturing Processes

Author:

Inapakurthi Ravi Kiran¹,Pantula Priyanka Devi¹,Miriyala Srinivas Soumitri¹,Mitra Kishalay¹

Affiliation:

1. Global Optimization and Knowledge Unearthing Laboratory, Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Telangana, India

Funder

Ministry of Human Resources Development (MHRD), Government of India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10426914.2020.1802042

Reference22 articles.

1. Recurrent neural networks based modelling of industrial grinding operation

2. Deep learning based system identification of industrial integrated grinding circuits

3. Study on the Selection of Comminution Circuits for a Magnetite Ore in Eastern Hebei, China

4. Energy Conservation in China’s Cement Industry

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