Search

Your search keyword '"Li, Xiao-hong"' showing total 2,103 results
Start Over Author "Li, Xiao-hong"
2,103 results on '"Li, Xiao-hong"'

34. Study and Test of the Model of Unsound Kernel Measuring Instrumengt for Distiller Sorghum

Author

LI Xiao-hong, CHU Yi-hong, MAO Yu-zhi, YIN Guan-jun, NIE Ye, and JIAO Fu

Subjects
sorghum, unsound kernel, deep learning, fine-grained image classification, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

In view of the low efficiency and low recognition accuracy of sorghum unsound kerneld etection in wine-making enterprises at the present stage, the sorghum unsound kernel detection instrument with image recognition, which was combined with the existing cereal unsound kernel detection instruments in the market, was developed. A series of research was focus on the image collection, key hardware, machine vision and deep learning. In this study, single feature analysis technology, machine-learning based image classification technology, deep-learning based image classification technology and fine-grained image classification technology were used to classify and identify sorghum images, respectively. By contrast, tensorrt deployment technology was used to deploy fine-grained image classification network into the device. The results showed that the recognition accuracy of the developed rapid sorghum imperfect grain detector was less than 1% of the average error of manual detection. The detection time of 50 g sorghum sample was controlled within 5 minutes. Compared with the traditional manual detection, the detection time was greatly shortened, and the subjective deviation of manual detection was also avoided. It is of great significance for the detection and identification of sorghum imperfection rate in wine-making enterprises.

Published
2023
Full Text
View/download PDF

50. Optimization design of die box component of rotary compound starter press machine based on dynamic characteristics

Author

MENG Yao-zhi, SHI Yan, LIAO Ying-hua, YANG Zheng-quan, and LI Xiao-hong

Subjects
starter press machine, die box component, dynamic behaviour, variable density method, multi-objective optimization, Food processing and manufacture, TP368-456
Abstract

Objective: To improve the comprehensive performance of starter press machine. Methods: Based on the finite element analysis method for die box component modal and harmonic response analysis, and based on the finite element model by using variable density method was carried out on the die box component topology optimization, and the topology structure was also improved, which will improved the quality of the die box components and 1 order natural frequency as the optimization goal. The multi-objective optimization design was carried out based on non-dominated sorting genetic algorithm. Results: In the fourth mode, large torsional deformation appeared on the overall edge of the die box components, which did not meet the requirements of stiffness performance. The highest speed of the servo motor was close to the first-order critical speed, and the probability of low-frequency coupling resonance was very large. At the same time, the region where the response peak occurs was basically the same as the region where the deformation occurs in the modal analysis, which verified the accuracy of the dynamic characteristic results. After optimization, the mass of the die box component decreased by 15.13%, and the first four natural frequencies increasd by 14.09%, 14.14%, 3.54% and 10.37%, respectively. Conclusion: The dynamic characteristics of the starter press machine mainly affect its production efficiency and starter press quality. Under the optimized die box component, the starter press machine has good dynamic performance and achieves the goal of lightweight design.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results