Skip to main content
Log in

Design of integrated air impingement blanching and drying equipment for grape and airflow uniformity analysis and optimization of its drying material room

  • Original Article
  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

The existing grape drying technology and equipment often have problems such as poor hygiene conditions, high drying costs, and large drug residues. Therefore, the market urgently needs grape drying equipment with low energy consumption, high efficiency, and a green-clean processing process. To solve the above problems, a piece of integrated drying equipment combining the two technologies of air impingement blanching and air impingement drying for multi-layer grape material drying is designed. The dried product quality is directly affected by the airflow field distribution. Therefore, obtaining good airflow distribution and airflow velocity uniformity in the drying chamber via parametric studies is essential to ensure uniform drying of products. Since parametric and optimization investigations by physical experiments are usually expensive and time-consuming, computational fluid dynamics (CFD) being a flexible and less expensive tool can be employed to perform such studies. In the current work, the airflow velocity distribution and uniformity of the drying material room are analyzed by Ansys Fluent software. The airflow velocity non-uniformity coefficient is used to evaluate airflow uniformity. Results show that the original design has poor uniformity and needs to be optimized. The influence of air inlet chamber deflection device and material truck airflow baffles on the flow field of the material drying room is investigated to improve the uniformity of airflow distribution. Considering drying efficiency and uniformity, drying material room structure with the addition of deflection device design with the structural parameters of L = 50 mm and θ = 76°, airflow baffle design with the structural parameters of h = 0 mm, θ2 = 20° is chosen as the final optimized design. After optimization, the velocity of airflow between material layers has improved overall, and the maximum difference of average airflow velocity between material layers has been reduced from 0.73 m/s to 0.69 m/s, improving the drying uniformity of dried materials. In comparison to other drying equipment, the current integrated drying equipment combing air impingement blanching and drying has the advantages of being efficient and energy-saving, suitable for large-scale drying of grapes with better drying quality. The current results could guide the drying equipment design for grapes and develop the grape drying industry with high-dried quality.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J. Liu et al., Booming development of Chinese grape industry, Sino-Overseas Grapevine & Wine (1) (2020) 1–8.

  2. D. S. Zhu, Sofening mechanism and flavor deterioration of post-harvest grape, Ph.D. Thesis, Shenyang Agricultural University, China (2014).

    Google Scholar 

  3. J. Wang et al., Grape drying: current status and future trends, Grape and Wine Biotechnology, IntechOpen (2016) 145–165.

  4. K. S. Jairaj, S. P. Singh and K. Srikant, A review of solar dryers developed for grape drying, Solar Energy, 83(9) (2009) 1698–1712.

    Article  Google Scholar 

  5. I. Doymaz and M. Pala, The effects of dipping pretreatments on air-drying rates of the seedless grapes, Journal of Food Engineering, 52(4) (2002) 413–417.

    Article  Google Scholar 

  6. C. Olivati et al., Effect of the pre-treatment and the drying process on the phenolic composition of raisins produced with a seedless Brazilian grape cultivar, Food Research International, 116 (2019) 190–199.

    Article  Google Scholar 

  7. K. Eli et al., Pretreatment screening for drying of seedless white grapes in air-drying shelters in turpan, Food Science, 39(15) (2018) 108–114.

    Google Scholar 

  8. G. Adiletta et al., Drying characteristics and quality of grape under physical pretreatment, Journal of Food Engineering, 172 (2016) 9–18.

    Article  Google Scholar 

  9. Q. Wang et al., Drying characteristics and change in total polyphenol content of seedless purple grapes, Food Science, 37(5) (2016) 62–66.

    Google Scholar 

  10. J. Wang et al., Pulsed vacuum drying of Thompson seedless grape: effects of berry ripeness on physicochemical properties and drying characteristic, Food and Bioproducts Processing, 106 (2017) 117–126.

    Article  Google Scholar 

  11. X. L. Li et al., Effects of different drying methods on the quality and antioxidant activity of seedless purple grape, Food and Machinery, 33(11) (2017) 143–146, 211.

    Google Scholar 

  12. Z. J. Gao, Experimental research on mechanism and parameters of air-impingement jet drying of particulate materials, Ph.D. Thesis, China Agricultural University, China (2000).

    Google Scholar 

  13. J. Shi, Y. S. Liu and W. G. Wang, Application and prospect of air- impingement jet technology in agricultural products processing, Farm Products Processing (12) (2020) 70–72.

  14. C. Ndiaye, S. Y. Xu and Z. Wang, Steam blanching effect on polyphenolo-xidase, peroxidase and colour of mango (Mangifera indica L.) slices, Food Chemistry, 113(1) (2009) 92–95.

    Article  Google Scholar 

  15. Y. Zhang et al., Vacuum-steam pulsed blanching (VSPB): an emerging blanching technology for beetroot, LWT, 147 (2021) 111532.

    Article  Google Scholar 

  16. H. W. Xiao et al., The application of superheated steam impingement blanching (SSIB) in agricultural products processing - A review, Journal of Food Engineering, 32 (2014) 39–47.

    Article  Google Scholar 

  17. Y. Xin et al., Research trends in selected blanching pretreatments and quick freezing technologies as applied in fruits and vegetables: A review, International Journal of Refrigeration, 57 (2015) 11–25.

    Article  Google Scholar 

  18. S. Jabbar et al., Quality of carrot juice as influenced by blanching and sonication treatments, LWT-Food Science and Technology, 55(1) (2014) 16–21.

    Article  MathSciNet  Google Scholar 

  19. B. D. Argo and U. Ubaidillah, Thin-layer drying of cassava chips in multipurpose convective tray dryer: energy and exergy analyses, Journal of Mechanical Science and Technology, 34(1) (2020) 435–442.

    Article  Google Scholar 

  20. M. Y. Shi et al., Flow field analysis and design optimisation of Tibetan medicine double heat pump drying room, Computers and Electronics in Agriculture, 199 (2022) 107141.

    Article  Google Scholar 

  21. T. Sun and R. Cao, Analysis of thermal and wet stress of corn kernel based on microwave drying, Journal of Mechanical Science and Technology, 7(3) (2023) 1501–1508.

    Article  Google Scholar 

  22. H. Y. Zhao, B. H. Wang and G. F. Chen, Numerical study on a rotational hydraulic damper with variable damping coefficient, Scientific Reports (11) (2021) 22515.

  23. X. J. Yuan et al., A dynamic modelling method for an electro-hydraulic proportional valve combining multi-systems and moving meshes, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(7) (2022) 304.

    Article  Google Scholar 

  24. Z. H. Wang et al., Design of improved flow-focusing microchannel with constricted continuous phase inlet and study of fluid flow characteristics, Micromachines, 13(10) (2022) 1776.

    Article  Google Scholar 

  25. P. E. Bournet and F. Rojano, Advances of computational fluid dynamics (CFD) applications in agricultural building modelling: research, applications and challenges, Computers and Electronics in Agriculture, 201 (2022) 107277.

    Article  Google Scholar 

  26. P. M. Cârlescu, V. Arsenoaia and R. Roşca, CFD simulation of heat and mass transfer during apricots drying, LWT-Food Science and Technology, 85 (2017) 479–486.

    Article  Google Scholar 

  27. W. Zhang and P. Yan, Optimization of airflow velocity field uniformity in hot air drying kiln, Light Industry Machinery, 37(1) (2019) 83–87.

    Google Scholar 

  28. R. Liu et al., Flow-field simulation and structural optimization of the chrysanthemum hot air drying room, Journal of Machine Design, 38(1) (2021) 47–54.

    Google Scholar 

  29. X. W. Liu et al., Numerical simulation of brick tea drying chamber, Industrial Heating, 44(1) (2015) 35–38.

    Google Scholar 

  30. A. Szpicer et al., Application of computational fuid dynamics simulations in food industry, European Food Research and Technology, 249 (2023) 1411–1430.

    Article  Google Scholar 

  31. J. W. Bai, Drying kinetics and anti-browning mechanism of Thompson seedless grapes, Ph.D. Thesis, China Agricultural University, China (2014).

    Google Scholar 

  32. M. N. Lund and C. A. Ray, Control of maillard reactions in foods: strategies and chemical mechanisms, Journal of Agricultural and Food Chemistry, 65(23) (2017) 4537–4552.

    Article  Google Scholar 

  33. H. Jaeger, A. Janositz and D. Knorr, The maillard reaction and its control during food processing-the potential of emerging technologies, Pathologie Biologie, 58(3) (2010) 207–213.

    Article  Google Scholar 

  34. N. Tamanna and N. Mahmood, Food processing and maillard reaction products: effect on human health and nutrition, International Journal of Food Science, 2015 (2015) 526762.

    Article  Google Scholar 

  35. Y. Xu, L. Tan and Y. Yuan, Numerical simulation on flow field and design optimization of a generator unit based on computational fluid dynamics analysis, Mathematical Problems in Engineering (7) (2021) 3350867.1-3350867.13.

  36. E. G. Huo, Simulation and optimization study on airflow organization in chrysanthemum drying room, Master’s Thesis, Nanchang University, China (2016).

    Google Scholar 

  37. L. B. Tan and Y. J. Yuan, Numerical simulation on flow field characteristics of the four cylinder engine cooling system and its performance improvement, Journal of Mechanical Science and Technology, 37(1) (2023) 487–500.

    Article  Google Scholar 

  38. L. B. Tan and Y. J. Yuan, Numerical simulation on temperature field of generator unit, Journal of Xihua University (Natural Science Edition), 42(4) (2023) 49–57.

    Google Scholar 

  39. L. B. Tan et al., Flow field analysis and structure improvement of generator unit based on STAR-CCM+, Journal of Xihua University (Natural Science Edition), 42(1) (2023) 100–105.

    Google Scholar 

  40. R. Liu, Research and design of new type drying room based on velocity and temperature field analysis, Master’s Thesis, Shaanxi University of Science and Technology, China (2021).

    Google Scholar 

  41. A. Benhamza et al., Drying uniformity analysis of an indirect solar dryer based on computational fluid dynamics and image processing, Sustainable Energy Technologies and Assessments, 47 (2021) 101466.

    Article  Google Scholar 

  42. H. Li et al., Simulation optimization and experimental study of the air distribution chamber structure of straw-based nutrient seeding-growing bowl tray microwave-hot-air coupling dryer, Engenharia Agricola, 42(2) (2022) e20210226.

    Article  Google Scholar 

  43. D. Wang, L. Tan and Y. Yuan, CFD simulation and optimization on airflow uniformity of material drying room used in steam blanching and hot-air vacuum drying equipment, Journal of Mechanical Science and Technology, 37(10) (2023) 5463–5474.

    Article  Google Scholar 

  44. M. M. A Bhutta et al., CFD applications in various heat exchangers design: A review, Appl Therm Eng, 32 (2012) 1–12.

    Article  Google Scholar 

  45. K. Grijspeerdt, B. Hazarika and D. Vucinic, Application of computational fuid dynamics to model the hydrodynamics of plate heat exchangers for milk processing, Journal of Food Engineering, 57 (2023) 237–242.

    Article  Google Scholar 

  46. R. C. Zhang and J. B. Long, Study on drying uniformity of static small-sized drying box for fruits and vegetables, Procedia Engineering, 205 (2017) 2615–2622.

    Article  Google Scholar 

  47. P. F. Zhang et al., Computational fluid dynamic analysis of airflow in belt dryer:effects of conveyor position on airflow distribution, Energy Procedia, 142 (2017) 1367–1374.

    Article  Google Scholar 

  48. Y. Amanlou and A. Zomorodian, Applying CFD for designing a new fruit cabinet dryer, Journal of Food Engineering, 101 (2010) 8–15.

    Article  Google Scholar 

  49. A. Ganguly, Freeze-drying simulation framework coupling product attributes and equipment capability: toward accelerating process by equipment modifications, Eur J Pharm Biopharm, 85 (2013) 223–235.

    Article  Google Scholar 

  50. S. T. Sileshi, Simulation of mixed-mode solar dryer with vertical air distribution channel, Heliyon, 8 (2022) e11898.

    Article  Google Scholar 

  51. M. A. M. Daza-Gómez, 3D computational fluid dynamics analysis of a convective drying chamber, Processes, 10(12) (2022) 2721.

    Article  Google Scholar 

  52. A. K. Babu et al., CFD studies on different configurations of drying chamber for thin-layer drying of leaves, Energy Sources Part A, 66(4) (2020) 254–265.

    Google Scholar 

  53. A. A. Gitan, Assessment of hybrid solar-thermal multi-chamber dryer integrated with desiccant dehumidifier for uniform drying, Solar Energy, 262 (2023) 111880.

    Article  Google Scholar 

  54. H. Darabi et al., Design a cabinet dryer with two geometric configurations using CFD, Journal of Food Science and Technology, 52(1) (2015) 359–366.

    Article  Google Scholar 

Download references

Acknowledgments

This work was funded by Research and Application Demonstration of Key Technologies in Edible Fungus Industry such as Auricularia auricula-judae (No. 2021YFD1600403), Shaanxi University of Science and Technology Doctoral Research Startup Fund (No. BJ16-19), Shaanxi Provincial Department of Education Youth Innovation Team Research Program Project (No. 21JP016), Key project of International Science and Technology Cooperation Program for Shaanxi Province (No. 2020 KWZ-015), Key Research and Development Program of Shaanxi Province (No. 2021NY-129).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Libin Tan.

Additional information

Dong Wang is a lecturer in the College of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, Shaanxi Province. He is specialized in CFD simulations and intelligent equipment design of agricultural products.

Libin Tan is a Ph.D. candidate in the College of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, Shaanxi Province. He is specialized in CFD simulations and heat and mass transfer in food drying process.

Yuejin Yuan is a Professor in the College of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, Shaanxi Province. He is specialized in heat transfer and thermal engineering in food drying.

Wenzhuo Chang received his Master degree in the College of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, Shaanxi Province. He is specialized in drying equipment design and CFD simulation of drying process.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, D., Tan, L., Yuan, Y. et al. Design of integrated air impingement blanching and drying equipment for grape and airflow uniformity analysis and optimization of its drying material room. J Mech Sci Technol 38, 2123–2142 (2024). https://doi.org/10.1007/s12206-024-0341-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-024-0341-4

Keywords

Navigation