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WO2018198050A3 - Chemical process intensification design through modeling and additive manufacturing - Google Patents

Chemical process intensification design through modeling and additive manufacturing Download PDF

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Publication number
WO2018198050A3
WO2018198050A3 PCT/IB2018/052879 IB2018052879W WO2018198050A3 WO 2018198050 A3 WO2018198050 A3 WO 2018198050A3 IB 2018052879 W IB2018052879 W IB 2018052879W WO 2018198050 A3 WO2018198050 A3 WO 2018198050A3
Authority
WO
WIPO (PCT)
Prior art keywords
chemical process
dimensionless numbers
modeling
additive manufacturing
process intensification
Prior art date
Application number
PCT/IB2018/052879
Other languages
French (fr)
Other versions
WO2018198050A2 (en
Inventor
Ashwin Ravi SANKAR
Pv GURUNATH
Original Assignee
Sabic Global Technologies, B.V.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sabic Global Technologies, B.V. filed Critical Sabic Global Technologies, B.V.
Publication of WO2018198050A2 publication Critical patent/WO2018198050A2/en
Publication of WO2018198050A3 publication Critical patent/WO2018198050A3/en

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/10—Analysis or design of chemical reactions, syntheses or processes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y70/00—Materials specially adapted for additive manufacturing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C99/00—Subject matter not provided for in other groups of this subclass
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30—Auxiliary operations or equipment
    • B29C64/386—Data acquisition or data processing for additive manufacturing

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computing Systems (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Analytical Chemistry (AREA)
  • Manufacturing & Machinery (AREA)
  • Materials Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)
  • General Factory Administration (AREA)

Abstract

A method of chemical process intensification by designing a chemical process component through modeling using dimensionless numbers. The method comprises identifying the inter-relationship between chemical process engineering parameters and structures for subcomponents of the chemical process component, defining a weighting among a plurality of dimensionless numbers associated with a processing function of the subcomponents, simulating a chemical process for each of a plurality of combinations of subcomponent designs to determine, for each combination, a value for each of the plurality of the dimensionless numbers, determining a simulation score for each simulated chemical process based on the plurality of dimensionless numbers determined for that simulated chemical process and based on the defined weighting among the plurality of dimensionless numbers, and selecting a combination of subcomponent designs associated with an extreme simulation scores.
PCT/IB2018/052879 2017-04-27 2018-04-25 Chemical process intensification design through modeling and additive manufacturing WO2018198050A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762491229P 2017-04-27 2017-04-27
US62/491,229 2017-04-27

Publications (2)

Publication Number Publication Date
WO2018198050A2 WO2018198050A2 (en) 2018-11-01
WO2018198050A3 true WO2018198050A3 (en) 2019-01-10

Family

ID=62148432

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2018/052879 WO2018198050A2 (en) 2017-04-27 2018-04-25 Chemical process intensification design through modeling and additive manufacturing

Country Status (1)

Country Link
WO (1) WO2018198050A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116275123B (en) * 2023-03-07 2025-04-22 中国航空发动机研究院 Method and device for determining parameters of additive manufacturing process and electronic equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120109606A1 (en) * 2010-10-31 2012-05-03 International Business Machines Corporation Automated interactive multi-objective optimization-based systems design tool
US20140365180A1 (en) * 2013-06-05 2014-12-11 Carnegie Mellon University Optimal selection of building components using sequential design via statistical based surrogate models

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120109606A1 (en) * 2010-10-31 2012-05-03 International Business Machines Corporation Automated interactive multi-objective optimization-based systems design tool
US20140365180A1 (en) * 2013-06-05 2014-12-11 Carnegie Mellon University Optimal selection of building components using sequential design via statistical based surrogate models

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
JANASEK D. ET AL: "Scaling and the design of miniaturized chemical-analysis systems", NATURE, vol. 442, no. 7101, 1 July 2006 (2006-07-01), London, pages 374 - 380, XP055524692, ISSN: 0028-0836, DOI: 10.1038/nature05059 *
KNAPP G. L. ET AL: "Building blocks for a digital twin of additive manufacturing", ACTA MATERIALIA, ELSEVIER, OXFORD, GB, vol. 135, 22 June 2017 (2017-06-22), pages 390 - 399, XP085142529, ISSN: 1359-6454, DOI: 10.1016/J.ACTAMAT.2017.06.039 *
MARIN E. ET AL: "Similarity theory and dimensionless numbers in heat transfer", EUROPEAN JOURNAL OF PHYSICS, INSTITUTE OF PHYSICS PUBLISHING, BRISTOL, GB, vol. 30, no. 3, 1 May 2009 (2009-05-01), pages 439 - 445, XP020150052, ISSN: 0143-0807, DOI: 10.1088/0143-0807/30/3/001 *
MUKHERJEE T. ET AL: "Dimensionless numbers in additive manufacturing", JOURNAL OF APPLIED PHYSICS, AMERICAN INSTITUTE OF PHYSICS, US, vol. 121, no. 6, 13 February 2017 (2017-02-13), XP012216062, ISSN: 0021-8979, [retrieved on 20170213], DOI: 10.1063/1.4976006 *
WONG K. V. ET AL: "A Review of Additive Manufacturing", ISRN MECHANICAL ENGINEERING, vol. 47, no. 9, 208760, 1 January 2012 (2012-01-01), pages 1 - 10, XP055320071, DOI: 10.5402/2012/208760 *

Also Published As

Publication number Publication date
WO2018198050A2 (en) 2018-11-01

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