Study on the physical detection method of discriminating edible oil based on viscosity coefficient

Zhouyan Jiang; Guoshen Chen; Wei Wang; Shiyi Wang; Jianping Wen

doi:10.1117/12.3000077

23 August 2023 Study on the physical detection method of discriminating edible oil based on viscosity coefficient

Zhouyan Jiang, Guoshen Chen, Wei Wang, Shiyi Wang, Jianping Wen

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840W (2023) https://doi.org/10.1117/12.3000077
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Study of a physical test method to identify the type and quality of edible oils. By observing the period variation law of oscillator oscillation in liquids with different viscosity coefficients, we study the force analysis and the small variation and law of oscillation period of oscillating oscillator in corresponding different oil liquids. The experimental results show that the physical properties of the viscosity coefficient of the oil and the motion of the oscillation period of the oscillator in the oil have a corresponding pattern. Thus, the observation of the oscillation period of the oscillator can be used as a physical test method to identify the edible oil type.

Citation Download Citation

Zhouyan Jiang, Guoshen Chen, Wei Wang, Shiyi Wang, and Jianping Wen "Study on the physical detection method of discriminating edible oil based on viscosity coefficient", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840W (23 August 2023); https://doi.org/10.1117/12.3000077

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available