A Phenomena-based synthesis method for process intensification

Nipun Garg*, Georgios M. Kontogeorgis, John M. Woodley

*Corresponding author for this work

Research output: Contribution to conferenceConference abstract for conferenceResearch

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Abstract

Phenomena based synthesis is a process intensification (PI) method to generate innovative, more sustainable and non-trade off intensified and hybrid solutions. In the phenomena-based synthesis method, a target set of performance parameters is achieved using connectivity rules to combine phenomena at the lowest scale of aggregation directly affecting the driving force of a task or a set of tasks (Babi et al., 2015). Previously, this methodology was extended to include solid-liquid phenomena in order to widen the application range (Garg et al., 2018). In this research, the phenomena-based synthesis-intensification methodology is further developed and generalized to overcome the remaining
application limitation and generate a wide range of solutions. New phenomena and their classes are introduced to expand the phenomena list. Furthermore, systematic algorithms based on thermodynamic insights are developed to identify desirable phenomena to combine in order to generate intensified/hybrid solutions. Thus, the presentation will showcase the generic phenomena based
synthesis-intensification methodology, systematic steps and be illustrated with case-study examples.
Original languageEnglish
Publication date2019
Number of pages2
Publication statusPublished - 2019
EventFoundations of Computer-Aided Process Design 2019 - , United States
Duration: 14 Jul 201918 Jul 2019

Conference

ConferenceFoundations of Computer-Aided Process Design 2019
CountryUnited States
Period14/07/201918/07/2019

Keywords

  • Process intensification
  • phenomena-based synthesis
  • Sustainable
  • Generic
  • Systematic

Cite this

Garg, N., Kontogeorgis, G. M., & Woodley, J. M. (2019). A Phenomena-based synthesis method for process intensification. Abstract from Foundations of Computer-Aided Process Design 2019, United States.