Home Using Liquid-Only Cans (Equipped with a Single Particle) to Quantify Heat Transfer Phenomenon During Thermal Processing
Article
Licensed
Unlicensed Requires Authentication

Using Liquid-Only Cans (Equipped with a Single Particle) to Quantify Heat Transfer Phenomenon During Thermal Processing

  • Anubhav Pratap Singh EMAIL logo , Anika Singh and Hosahalli S. Ramaswamy
Published/Copyright: March 8, 2017

Abstract

This study utilizes liquid-only cans (fitted with a single particle) to gain insight into the heat transfer phenomenon during the novel process of reciprocating agitation thermal processing (RA-TP) for sterilization of food. Overall heat transfer coefficient (U) across the can-wall was evaluated for cylindrical cans, filled with different concentration of glycerin and treated with reciprocating agitation thermal processing (RA-TP). Thermocouple-equipped single spherical particle (diameter = 0.019 m) of various densities were also kept inside the cans to obtain preliminary insights into the heat transfer phenomenon at the liquid–particle interface (hfp). Seven process variables, viz. operating temperature (110–130 °C), reciprocation frequency (1–4 Hz), reciprocation amplitude (0.05–0.25 m), can headspace (0.006–0.012 m), liquid viscosity (0.001–0.942 Pa.s) and particle density (830–2,210 kg/m3), were varied according to three full-factorial designs and corresponding U & hfp were reported. Depending on the processing condition and product composition, U and hfp varied in the range 197–1,240 W/m2K and 210–1,230 W/m2K respectively. Higher heat transfer was observed at both can wall and liquid–particle interface with increasing temperature, headspace, frequency and amplitude and decreasing liquid viscosity. The order of heat transfer coefficients for processing conditions was: Frequency > amplitude > headspace > temperature; while for product composition was: Frequency > liquid viscosity > product density. This study is relevant for providing data for process modeling of reciprocating agitation thermal processing.

Funding statement: This research was partially supported by funds from the Natural Sciences and Engineering Research Council (NSERC) and Ministère de l’Agriculture des Pêcheries et de l’Alimentation (MAPAQ) of Canada.

Nomenclature

A

reciprocation amplitude, m

Ac

surface area of can, m2

Ap

surface area of the particle, m2

αp

thermal diffusivity of the particle, m2/s

cpl

specific heat capacity of the liquid, J/kg °C

F

reciprocation frequency, Hz

F0

lethality at the particle-center, s

fh

heating rate index, s

fh-l

heating rate index of the liquid, s

fh-p

heating rate index of the particle-center, s

H

headspace, m

kP

thermal conductivity of the particle, W/(m °C)

LC

liquid (glycerin) concentration, %

ml

mass of the liquid in can, kg

PD

particle density, kg/m3

Pt

process time to achieve a lethality of 10 min, s

RA-TP

reciprocating agitation thermal processing

t

time instant, s

T

operating temperature, °C

τ

Fourier number

to

time at which τ=0.2, s

Tcrt

constant retort temperature, °C

Ti,

initial temperature profile, °C

Tpc,

simulated particle-center temperature profile, °C

Tpred

predicted temperature profile, °C

Tpred-l

predicted liquid temperature profile, °C

Tpred-p

predicted particle-center temperature profile, °C

Tps

simulated particle-surface temperature profile, °C

Tr,t

temperature of particle at a particular distance from center (r) and time (t), °C

Tpred-l(t=a)

instantaneous predicted liquid temperature at time a (°C) respectively;

U

overall heat transfer coefficient, W/m2 °C

hfp

fluid-to-particle heat transfer coefficient, W/m2 °C

z

temperature sensitivity or z-value of the common microorganisms (~10 °C).

  1. Conflicts of interest: The authors declare no conflicts of interests.

References

1. Walden R, Emanuel J. Developments in in-container retort technology: the Zinetec Shaka process. In: Doona CJ, Kustin K, Feeherry FE, editors. Case studies in novel food processing technologies: Innovation in processing, packaging, and predictive modeling. Cambridge, UK: Woodhead Publishing Ltd., 2010:359–406.10.1533/9780857090713.4.389Search in Google Scholar

2. Batmaz E, Sandeep KP. Integration of resonant acoustic® mixing into thermal processing of foods: a comparison study against other in-container sterilization technologies. J Food Eng. 2015;165:124–132.10.1016/j.jfoodeng.2015.06.013Search in Google Scholar

3. Pratap Singh A, Singh A, Ramaswamy HS. Modification of a static steam retort for evaluating heat transfer under reciprocation agitation thermal processing. J Food Eng. 2015a;153:63–72.10.1016/j.jfoodeng.2014.12.001Search in Google Scholar

4. Ramaswamy HS, Abbatemarco C, Sablani SS. Heat transfer rates in a canned food model as influenced by processing in an end-over-end rotary steam/air retort. J Food Process Preserv. 1993;17:269–286.10.1111/j.1745-4549.1993.tb00731.xSearch in Google Scholar

5. Pratap Singh A, Singh A, Ramaswamy HS. Heat transfer phenomena during thermal processing of liquid particulate mixtures – a review. Crit Rev Food Sci Nutr 2015b. DOI:10.1080/10408398.2014.989425.Search in Google Scholar PubMed

6. Singh A, Pratap Singh A, Ramaswamy HS. Computational techniques used during heat transfer studies in canned liquid-particulate mixtures – a review. Trends Food Sci Technol. 2015a;43:83–103.10.1016/j.tifs.2015.02.001Search in Google Scholar

7. Garrote RL, Silva ER, Roa RD, Bertone RA. Heat transfer coefficients to canned green peas during end-over-end sterilisation. Int J Food Sci Technol. 2006;41:1016–1022.10.1111/j.1365-2621.2006.01158.xSearch in Google Scholar

8. Deniston MF, Hassan BH, Merson RL. Heat transfer coefficients to liquids with food particles in axially rotating cans. J Food Sci. 1987;52:962–979.10.1111/j.1365-2621.1987.tb14253.xSearch in Google Scholar

9. Stoforos NG, Merson RL. Estimating heat transfer coefficients in liquid/particulate canned foods using only liquid temperature data. J Food Sci. 1990;55:478–483.10.1111/j.1365-2621.1990.tb06791.xSearch in Google Scholar

10. Meng Y, Ramaswamy HS. System variables affecting heat transfer in a canned particle in Newtonian fluid system during end-over-end rotation. LWT Food Sci Technol. 2007a;40:1240–1245.10.1016/j.lwt.2006.08.010Search in Google Scholar

11. Stoforos NG, Merson RL. Measurement of heat transfer coefficients in rotating liquid/particulate systems. Biotechnol Prog. 1991;7:267–271.10.1021/bp00009a600Search in Google Scholar

12. Dwivedi M, Ramaswamy HS. Comparison of heat transfer rates during thermal processing under end-over-end and axial modes of rotation. LWT Food Sci Technol. 2010;43:350–360.10.1016/j.lwt.2009.08.018Search in Google Scholar

13. Kannan A, Gourisankar Sandaka PC. Heat transfer analysis of canned food sterilization in a still retort. J Food Eng. 2008;88:213–228.10.1016/j.jfoodeng.2008.02.007Search in Google Scholar

14. Meng Y, Ramaswamy HS. Effect of system variables on heat transfer to canned particulate non-Newtonian fluids during end-over-end rotation. Food Bioprod Process. 2007b;85:34–41.10.1205/fbp.06007Search in Google Scholar

15. Ramaswamy HS, Dwivedi M. Effect of process variables on heat-transfer rates to canned particulate Newtonian fluids during free bi-axial rotary processing. Food Bioprocess Technol. 2011;4:61–79.10.1007/s11947-008-0140-4Search in Google Scholar

16. Singh A, Pratap Singh A, Ramaswamy HS. A refined methodology for evaluation of heat transfer coefficients in canned particulate fluids under rapid heating conditions. Food Bioprod Process. 2015b;94:169–179.10.1016/j.fbp.2015.02.005Search in Google Scholar

17. Pratap Singh A, Ramaswamy HS. Effect of can orientation on heat transfer coefficients associated with liquid particulate mixtures during reciprocation agitation thermal processing. Food Bioprocess Technol. 2015;8:1405–1418.10.1007/s11947-015-1500-5Search in Google Scholar

18. Singh A, Pratap Singh A, Ramaswamy HS. A controlled agitation process for improving quality of canned green beans during agitation thermal processing. J Food Sci. 2016;81:E1399–E1411 .10.1111/1750-3841.13308Search in Google Scholar PubMed

19. Singh A, Pratap Singh A, Ramaswamy HS. Effect of processing conditions on quality of green beans subjected to reciprocating agitation thermal processing. Food Res Int. 2015c;78:424–432.10.1016/j.foodres.2015.08.040Search in Google Scholar PubMed

20. Pratap Singh A, Singh A, Ramaswamy HS. Effect of reciprocating agitation thermal processing (RA‐TP) on quality of canned tomato (Solanum lycopersicum) puree. J Sci Food Agri 2016a. DOI:10.1002/jsfa.8054.Search in Google Scholar PubMed

21. You J, Pratap Singh A, Singh A, Ramaswamy HS. Quality retention enhancement in canned potato and radish using reciprocating agitation thermal processing. Int J Food Eng. 2016;12:491–500.10.1515/ijfe-2015-0276Search in Google Scholar

22. Sablani SS. Heat transfer studies of liquid particle mixtures in cans subjected to end-over-end processing (PhD Thesis). Montreal, Canada: McGill University, McGill University 1996. http://digitool.Library.McGill.CA:80/R/-?func=dbin-jump-full&object_id=40437&silo_library=GEN01.Search in Google Scholar

23. Naveh D, Kopelman IJ. Effect of some processing parameters on the heat transfer coefficients in a rotating autoclave. J Food Process Preserv. 1980;4:67–77.10.1111/j.1745-4549.1980.tb00596.xSearch in Google Scholar

24. Simpson R, Abakarov A, Almonacid S, Teixeira A. Impact of overall and particle surface heat transfer coefficients on thermal process optimization in rotary retorts. J Food Sci. 2008;73:E383–E388.10.1111/j.1750-3841.2008.00928.xSearch in Google Scholar PubMed

25. Pratap Singh A, Singh A, Ramaswamy HS. A novel approach for quantification of particle motion and particle mixing during agitation thermal processing. J Food Eng. 2016b;180:39–47.10.1016/j.jfoodeng.2016.02.009Search in Google Scholar

Published Online: 2017-3-8
Published in Print: 2017-4-1

© 2017 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 23.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijfe-2016-0234/html?lang=en
Scroll to top button