Application of a coupled smoothed particle hydrodynamics (SPH) and coarse-grained (CG) numerical modelling approach to study three-dimensional (3-D) deformations of single cells of different food-plant materials during drying. Issue 11 (29th January 2018)
- Record Type:
- Journal Article
- Title:
- Application of a coupled smoothed particle hydrodynamics (SPH) and coarse-grained (CG) numerical modelling approach to study three-dimensional (3-D) deformations of single cells of different food-plant materials during drying. Issue 11 (29th January 2018)
- Main Title:
- Application of a coupled smoothed particle hydrodynamics (SPH) and coarse-grained (CG) numerical modelling approach to study three-dimensional (3-D) deformations of single cells of different food-plant materials during drying
- Authors:
- Rathnayaka, C. M.
Karunasena, H. C. P.
Senadeera, W.
Gu, Y. T. - Abstract:
- Abstract : A meshfree-based 3-D computational model to study the morphological behaviour of plant cells. Abstract : Numerical modelling has gained popularity in many science and engineering streams due to the economic feasibility and advanced analytical features compared to conventional experimental and theoretical models. Food drying is one of the areas where numerical modelling is increasingly applied to improve drying process performance and product quality. This investigation applies a three dimensional (3-D) Smoothed Particle Hydrodynamics (SPH) and Coarse-Grained (CG) numerical approach to predict the morphological changes of different categories of food-plant cells such as apple, grape, potato and carrot during drying. To validate the model predictions, experimental findings from in-house experimental procedures (for apple) and sources of literature (for grape, potato and carrot) have been utilised. The subsequent comaprison indicate that the model predictions demonstrate a reasonable agreement with the experimental findings, both qualitatively and quantitatively. In this numerical model, a higher computational accuracy has been maintained by limiting the consistency error below 1% for all four cell types. The proposed meshfree-based approach is well-equipped to predict the morphological changes of plant cellular structure over a wide range of moisture contents (10% to 100% dry basis). Compared to the previous 2-D meshfree-based models developed for plant cell drying,Abstract : A meshfree-based 3-D computational model to study the morphological behaviour of plant cells. Abstract : Numerical modelling has gained popularity in many science and engineering streams due to the economic feasibility and advanced analytical features compared to conventional experimental and theoretical models. Food drying is one of the areas where numerical modelling is increasingly applied to improve drying process performance and product quality. This investigation applies a three dimensional (3-D) Smoothed Particle Hydrodynamics (SPH) and Coarse-Grained (CG) numerical approach to predict the morphological changes of different categories of food-plant cells such as apple, grape, potato and carrot during drying. To validate the model predictions, experimental findings from in-house experimental procedures (for apple) and sources of literature (for grape, potato and carrot) have been utilised. The subsequent comaprison indicate that the model predictions demonstrate a reasonable agreement with the experimental findings, both qualitatively and quantitatively. In this numerical model, a higher computational accuracy has been maintained by limiting the consistency error below 1% for all four cell types. The proposed meshfree-based approach is well-equipped to predict the morphological changes of plant cellular structure over a wide range of moisture contents (10% to 100% dry basis). Compared to the previous 2-D meshfree-based models developed for plant cell drying, the proposed model can draw more useful insights on the morphological behaviour due to the 3-D nature of the model. In addition, the proposed computational modelling approach has a high potential to be used as a comprehensive tool in many other tissue morphology related investigations. … (more)
- Is Part Of:
- Soft matter. Volume 14:Issue 11(2018)
- Journal:
- Soft matter
- Issue:
- Volume 14:Issue 11(2018)
- Issue Display:
- Volume 14, Issue 11 (2018)
- Year:
- 2018
- Volume:
- 14
- Issue:
- 11
- Issue Sort Value:
- 2018-0014-0011-0000
- Page Start:
- 2015
- Page End:
- 2031
- Publication Date:
- 2018-01-29
- Subjects:
- Soft condensed matter -- Periodicals
530.413 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/sm/index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c7sm01465a ↗
- Languages:
- English
- ISSNs:
- 1744-683X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8321.419000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6189.xml