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논문 기본 정보

자료유형
학술저널
저자정보
Xiaochen Li (Dalian Polytechnic University) Yuyang Zhao (Dalian Polytechnic University) Renjie Li (Dalian Polytechnic University) Ning Zhang (Tongmyong University) Xueheng Tao (Dalian Polytechnic University) Lee Eung-Joo (Tongmyong University)
저널정보
한국멀티미디어학회 멀티미디어학회논문지 멀티미디어학회논문지 제22권 제7호
발행연도
2019.7
수록면
790 - 803 (14page)

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초록· 키워드

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The effects of different heat treatments on the sensory characteristics of abalones are studied in this study. In this paper, the sensory evaluation of abalone samples under different heat treatment conditions is carried out, and the evaluation results are analyzed. The three-dimensional (3D) scanning and reverse engineering are used in tooth modeling of the sensory evaluation of abalone samples under different heat treatment conditions. Besides, the chewing movement models are simplified into three modes, including the cutting mode, compressing mode and grinding mode, which are simulated using finite element simulation. The elastic modulus of the abalone samples is obtained through the compression testing using a texture analyzer to distinguish their material properties under different heat treatments and to obtain simulated mechanical parameters. Finally, taking the mechanical parameters of the finite element simulation of abalone chewing as input and sensory evaluation parameters as the output, BP neural network is established in which the sensory texture evaluation model of abalone samples is obtained. Through verification, the neural network prediction model can meet the requirements of food texture evaluation, with an average error of 9.12%.

목차

ABSTRACT
1. INTRODUCTION
2. MATERIALS AND METHODS
3. RESULTS AND ANALYSIS
4. CONCLUSIONS
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