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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research on the Influencing Factors and Potential of Export Trade in China’s Paper Industry]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202408015&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This paper analyzed the current situation and characteristics of China’s paper industry trade， constructed an expanded trade gravity model based on panel data of China and 30 trading partner countries from 2011 to 2022， and studied the influencing factors and potential of China’s paper industry export trade. The results showed that China had a high degree of dependence on the import of pulp. In recent years， while the import volume of various paper products had decreased， the export scale of China’s paper industry had shown an upward trend. Economic scale， forest resource differences， transportation efficiency， exchange rate of local currency against the US dollar， customs clearance efficiency， signing of free trade agreements， transportation level， and cultural factors had significant impacts on China’s paper industry export trade. In the midstream and downstream paper product trade， China was considered “aoneer potential” while major countries were seen as having “significant potential”. Thus， China should focus on enhancing the quality and value-added of its paper products， reducing reliance on imported upstream materials like pulp， and expediting the negotiation of free trade agreements with major countries.]]></description>
<pubDate>2024/8/26 18:51:55</pubDate>
<category><![CDATA[Model Building and Analysis]]></category>
<author><![CDATA[ZHAO Qingsong,GUO Yikang]]></author>
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<atom:name>ZHAO Qingsong,GUO Yikang</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research Progress in Functional Characteristics Simulation Based on Fiber Mathematical Structures]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202406019&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This paper summarized the research progress in the application of computer simulation technology in fiber morphology modeling. It also analyzed various visualization techniques and performance prediction and comparison methods for different fiber materials. The goal was to provide insights into the positioning simulation research of fibers in materials and the development of functional materials.]]></description>
<pubDate>2024/6/25 9:41:14</pubDate>
<category><![CDATA[Model Building and Analysis]]></category>
<author><![CDATA[KONG Fankang,LI Jing,SHA Lizheng,TONG Xin,GUO Daliang]]></author>
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<atom:name>KONG Fankang,LI Jing,SHA Lizheng,TONG Xin,GUO Daliang</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[A Combined Path Planning Method Based on LPA* and DWA Algorithms for AGV in the Guided Roller Production Workshop]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202406020&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Aiming at the challenges of indoor and outdoor navigation， shared transportation channels in multiple workshops， and cross-intersections in single workshop production lines of the papermaking machinery guided roller production line， a combined path planning method for Automated Guided Vehicle （AGV） in the guided roller production workshop by integrating LPA* and DWA algorithms was proposed. Firstly， the AGV’s motion model and the guided roller production workshop model were established. Then， a combined path of local and global path planning method was proposed， where LPA* algorithm was utilized for global path planning to address the issue of finding the global optimal path， and DWA algorithm was employed for local path planning to tackle the obstacle avoidance problem. Finally， experimental verification demonstrated that the proposed combined path planning algorithm significantly reduced the search time for paths compared to traditional path planning algorithms， resulting in higher efficiency.]]></description>
<pubDate>2024/6/25 9:41:15</pubDate>
<category><![CDATA[Model Building and Analysis]]></category>
<author><![CDATA[LIU Jiaqi,LIU Shanhui,REN Huiran,CHEN Yuhong,JI Haiyang]]></author>
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<atom:name>LIU Jiaqi,LIU Shanhui,REN Huiran,CHEN Yuhong,JI Haiyang</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research on Temperature Difference Control Strategy for Displacement Cooking Pot]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202406021&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to improve the control accuracy and robustness of the displacement cooking system in the pulp process under disturbance and model mismatch conditions， this paper theoretically modeled and studied the temperature difference control model of the displacement cooking system， and proposed a temperature difference adaptive PID control method for the displacement cooking system based on fuzzy control algorithm and particle swarm optimization （PSO） algorithm. Firstly， particle swarm optimization algorithm was used to optimize the initial values of PID controller parameters， and then fuzzy algorithm was used to achieve PID parameter self-tuning. Finally， the control effect was compared with traditional PID controllers and fuzzy PID controllers. The results showed that under a single operating condition， the comprehensive performance of the PSO fuzzy PID controller was the best， with the shortest adjustment time， effectively maintaining consistency in the temperature of the medicine solution in the vertical cooking pot. For pressure step disturbance and model mismatch conditions， the PSO fuzzy PID controller had stronger anti-interference performance， lower overall overshoot， shorter adjustment time， and good robustness and adaptability.]]></description>
<pubDate>2024/6/25 9:41:16</pubDate>
<category><![CDATA[Model Building and Analysis]]></category>
<author><![CDATA[XU Kai,SHI Quanhao,LI Chao,SUN Fuming,OU Zhenhua,HUANG Dezhi,CHEN Si,CHEN Yijian]]></author>
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<atom:name>XU Kai,SHI Quanhao,LI Chao,SUN Fuming,OU Zhenhua,HUANG Dezhi,CHEN Si,CHEN Yijian</atom:name>
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