Topological Structure Synthesis of a Novel Multi-mode Parallel Container Spreader Based on POC Sets
Authors: 
Pengcheng Zhang, Lubin Hang, Fufeng Han, Xiaobo Huang, Ziyu Liu, and Junrong ChenAuthors Info & Claims
Pengcheng Zhang, Lubin Hang, Fufeng Han, Xiaobo Huang, Ziyu Liu, and Junrong ChenAuthors Info & ClaimsSeptember 2019
Pages 127 - 131
Abstract
Owing to the need of the 'digging container' operation function of the dual 40 feet container spreader, a novel multi-mode switchable container spreader controlled by parallel branches is designed. The container spreader is controlled to adjust the folding posture of the spreader mechanism and auxiliary supported by the contacted profile surface by two parallel branches, and realize the digging operation. Through the analysis of the functional requirements and working conditions of the existing container spreader, the requirements of six independent displacement outputs of the spreader structure are obtained. Then the structure of the mechanism is synthesized based on the topological theory of POC set, and the design of the 6R mechanism with parallel adjusting branches is studied. The completed dual 40 feet container spreader can switch between the single-row operation mode and double-row operation modes, and adjust relative position and posture of the dual spreaders, so as to satisfy the adaptability of the spreader to various working conditions. The design can greatly improve the loading and unloading efficiency of containers.
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Index Terms
- Topological Structure Synthesis of a Novel Multi-mode Parallel Container Spreader Based on POC Sets
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Published In
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 September 2019
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- Research-article
- Research
- Refereed limited
Funding Sources
- Natural Science Foundation of China
- Shanghai Automotive Industry Science and Technology Development Foundation
Conference
RICAI 2019
RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 20 - 22, 2019
Shanghai, China
Acceptance Rates
RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%
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