Novel technique of controlled laser air-force detection for rheological properties of polymers
Keywords:
controlled laser air-force detection (CLAFD) technique, biological tissues, rheological properties, statics analysis, dynamic analysisAbstract
A novel controlled laser air-force detection (CLAFD) technique was developed to detect the rheological properties of polymers with the characteristics of non-destruction and cross-contamination free. Dynamic testing and static testing were carried out in the technique. Back propagation neural network algorithm was used to establish the air-force control model. The replicability of CLAFD system was analyzed, the viscoelastic properties of polyurethane were investigated using alternating load testing. A comparative analysis of performances was made between the CLAFD and the texture analysis (TA) on the testing of creep-recovery and stress relaxation. The results demonstrated that the CLAFD system had good replicability. The lagging phase angle was between 0°-90° in the testing of alternating load. This illustrated that the CLAFD technique could be used to detect viscoelasticity. The parameters of response speed and the precision of the CLAFD entirely surpassed the TA on the creep-recovery testing. The CLAFD technique will provide a new real-time, non-destruction and cross-contamination-free detection method for material science, especially for those materials such as artificial biological tissue and function food products. Keywords: controlled laser air-force detection (CLAFD) technique, biological tissues, rheological properties, statics analysis, dynamic analysis DOI: 10.25165/j.ijabe.20221501.6494 Citation: Xu H B, Hu R Z, Lin Y Z, Juan H, Tang X Y. Novel technique of controlled laser air-force detection for rheological properties of polymers. Int J Agric & Biol Eng, 2022; 15(1): 62–70.References
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[3] Katashima T. Rheological studies on polymer networks with static and dynamic crosslinks. Polym. J., 2021; 53(10): 1073–1082.
[4] Lee J, Kim H. Rheological properties and phase structure of polypropylene/polystyrene/multiwalled carbon nanotube composites. Korea-Aust. Rheol. J., 2020; 32(2): 153–158.
[5] Da Fonsêca J H L, d’Ávila M A. Rheological behavior of carboxymethylcellulose and cellulose nanocrystal aqueous dispersions. Rheol Acta, 2021; 60(9): 497–509.
[6] Mijailovic A S, Qing B, Fortunatoc D, Van K J V. Characterizing viscoelastic mechanical properties of highly compliant polymers and biological tissues using impact indentation. Acta. Biomater, 2018; 71: 388–397.
[7] Cacopardo L, Guazzelli N, Ahluwalia A. Characterizing and engineering biomimetic materials for viscoelastic mechanotransduction studies. Tissue Engineering Part B: Reviews, 2021; Ahead of printd. doi: 10.1089/ten.TEB.2021.0151.
[8] Zhu C Z, Wang X J, Li Z L, Liu J, Zheng J. Research on static and dynamics mechanical characteristics of flexible bearing in harmonic reducer. Int. J. Adv. Robot Syst., 2020; 17(2): 1729881420919953. doi:10.1177/1729881420919953.
[9] Feng H, Cui X Y, Li G Y. A stable nodal integration method with strain gradient for static and dynamic analysis of solid mechanics. Engineering Analysis with Boundary Elements, 2016; 62: 78–92.
[10] Tanaka M, Nakahata M, Linke P, Kaufmann S. Stimuli-responsive hydrogels as a model of the dynamic cellular microenvironment. Polym J 2020; 52(8): 861–870.
[11] Prussia S E, Astleford J J, Hewlett B, Hung Y C. Non-destructive firmness measurement device. 1994; Patent No. 5372030, USA.
[12] Hung Y C, Prussia S E, Ezeike G O I. Nondestructive firmness sensing using a laser air-puff detector. Postharvest Biol. Tec., 1999; 16(1): 15–25.
[13] Lee Y S, Owens C M, Meullenet J F. Novel laser air puff and shape profile method for predicting tenderness of Broiler breast meat. Poultry Sci., 2008; 87(7): 1451–1457.
[14] McGlone V A, Jordan R B. Kiwifruit and apricot firmness measurement by the non-contact laser air-puff method. Postharvest Biology and Technology, 2000; 19(1): 47–54.
[15] Morren S, Dyck T V, Mathijs F, Luca S, Cardinaels R, Moldenaers P, et al. Applicability of the food texture puff device for rheological characterization of viscous food products. J. Texture Stud., 2015; 46(2): 94–104.
[16] Long Y, Tang X Y, Wang W J, Peng Y K, Dong X G, Kang X L, et al. A unique method for detecting beef tenderness based on viscoelasticity principle. J. Texture Stud., 2017; 48(5): 433–438.
[17] Li Y L, Wang W J, Long Y, Peng Y K, Li Y Y, Chao K L, et al. A feasibility study of rapid nondestructive detection of total volatile basic nitrogen (TVB-N) content in beef based on airflow and laser ranging technique. Meat Sci., 2018; 145: 367–374.
[18] Li Y L, Tang X Y, Shen Z X, Dong J. Prediction of total volatile basic nitrogen (TVB-N) content of chilled beef for freshness evaluation by using viscoelasticity based on airflow and laser technique. Food Chem., 2019; 87: 26–132.
[19] Lan C, Umezuruike L. Approaches to analysis and modeling texture in fresh and processed foods-a review. Food Eng., 2013; 119(3): 497–507.
[20] Wang Y M, Qing D D. Model predictive control of nonlinear system based on GA-RBP neural network and improved gradient descent method. Complexity, 2021; 3: 6622149. doi:10.1155/2021/6622149.
[21] Wen H, Yan T, Liu Z Q, Chen D L. Integrated neural network model with pre-RBF kernels. Science Progress, 2021; 104(3): 1–18.
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Published
2022-02-26
How to Cite
Xu, H., Hu, R., Lin, Y., Juan, H., & Tang, X. (2022). Novel technique of controlled laser air-force detection for rheological properties of polymers. International Journal of Agricultural and Biological Engineering, 15(1), 62–70. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6494
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Applied Science, Engineering and Technology
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