Toward Faster Operational Optimization of Cascaded MSMPR Crystallizers Using Multiobjective Support Vector Regression-Reference-Cited by-同舟云学术

Toward Faster Operational Optimization of Cascaded MSMPR Crystallizers Using Multiobjective Support Vector Regression

Published:2022-07-29 Issue:31 Volume:61 Page:11518-11533
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Inapakurthi Ravi kiran¹,Naik Sakshi Sushant¹,Mitra Kishalay¹^ORCID

Affiliation:

1. Global Optimization and Knowledge Unearthing Laboratory, Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Telangana 502285, India

Funder

Department of Biotechnology , Ministry of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c00526

Reference62 articles.

1. Preparation of drug microparticles with a narrow size distribution using regular dimples induced by buckling instability

2. Multistage Continuous Mixed-Suspension, Mixed-Product Removal (MSMPR) Crystallization with Solids Recycle

3. CRYSTAL SIZE DISTRIBUTION FROM A CASCADE OF MSMPR CRYSTALLIZERS WITH MAGMA RECYCLE

4. Design and optimization of a multistage continuous cooling mixed suspension, mixed product removal crystallizer

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EDM-Grinding composite machining and drilling of polycrystalline diamond tool;Materials and Manufacturing Processes;2024-09-02

2. Optimization of process parameters in laser cladding multi channel forming using MVBM-NSGA-II method;Materials and Manufacturing Processes;2024-08-26

3. Optimization of culture condition for Spodoptera frugiperda by design of experiment approach and evaluation of its effect on the expression of hemagglutinin protein of influenza virus;PLOS ONE;2024-08-16

4. Robust optimization of cascaded MSMPR crystallization unit using unsupervised machine learning;The Canadian Journal of Chemical Engineering;2024-07-29

5. Controllable Microfluidic System through Intelligent Framework: Data-Driven Modeling, Machine Learning Energy Analysis, Comparative Multiobjective Optimization, and Experimental Study;Industrial & Engineering Chemistry Research;2024-06-27