Abstract
Accurate and high-speed generation of a product portion for packaging or canning is of great industrial significance. Optimal portion control refers to making the portion as close as possible to a desired net weight, according to some cost function. A technique of optimal portion control has been developed for can-filling of fish. This approach requires fast on-line measurement of the weight distribution function of each incoming fish in the process line. Direct measurement of this function, which is known to be complex, is not feasible by conventional means, particularly in view of the cost considerations and the necessary production speeds. An indirect approach has been developed that is suitable for on-line measurement of the weight distribution of fish. The approach depends on off-line experimentation and model development, and use of these models on-line conjunction with fast on-line measurements of simple geometric attributes of each incoming fish. A comprehensive structural model for fish body is developed in the present article, based on real data and practical information on fish body shapes. The model is used to provide reasonable and extensive data on fish, in a quick and cost-effective manner. This approach of model-based data generation is particularly useful when large-scale gathering of mechanical data on fish is not feasible. Procedures and steps of model development are presented in the article. Accuracy of the model is evaluated using real data on a batch of salmon. The related issue of the performance of the on-line sensor for measuring weight distribution function of fish is addressed.
Original language | English |
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Pages (from-to) | 8-16 |
Number of pages | 9 |
Journal | International Journal of Modelling and Simulation |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2002 |
Externally published | Yes |
Keywords
- Automated portion control
- Fish geometry
- Fish model
- On-line sensor
ASJC Scopus subject areas
- Modelling and Simulation
- Mechanics of Materials
- Hardware and Architecture
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering