Anjan Kumar Tula

Anjan Kumar Tula

(Former)

Topic of thesis:    Computer Aided Methodology for Process Flowsheet Generation, Design & Analysis
 
Starting date: December 2013
 
Background:  Lamar  University, Texas, USA  (MSc, 2010)
 
Supervisors: Rafiqul Gani, Gürkan Sin
 
  Process synthesis involves the identification of the optimal path to reach a desired product from a given starting point, of the desired quality and quantity, and subject to defined constraints on the process. For an effective, efficient and flexible design approach, what is needed is a systematic way to identify the types of tasks/operations that need to be performed, the corresponding design of the operation/equipment, their configuration, mass/energy flows, etc., resulting in an optimal flowsheet. The aim of this project is to develop a        systematic framework to produce process flowsheets that are reliable, sustainable , and more consistent in shorter synthesis time.
 
 
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  • Computers & Chemical Engineering

    ISSNs: 0098-1354

    Additional searchable ISSN (Electronic): 1873-4375

    Elsevier Ireland Ltd., Ireland

    BFI (2019): BFI-level 2, Scopus rating (2018): CiteScore 3.98 SJR 0.932 SNIP 1.562, Web of Science (2019): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

  • Chemical Engineering Research & Design

    ISSNs: 0263-8762

    Additional searchable ISSN (Electronic): 1744-3563

    Elsevier Ltd, United Kingdom

    BFI (2019): BFI-level 2, Scopus rating (2018): CiteScore 3.28 SJR 0.773 SNIP 1.296, Web of Science (2019): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

  • Chemical Engineering

    ISSNs: 0009-2460

    Additional searchable ISSN (Electronic): 1539-6797

    Access Intelligence, LLC, United States

    BFI (2019): BFI-level 1, Scopus rating (2018): SJR 0.122 SNIP 0.01, Web of Science (2019): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

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