Paper Machine headbox is the key of paper machine, it has three functions:
1. Spread the stock evenly along the width of the paper machine.
The headbox use the air-cushioned type so that the work speed can be faster than the open-type.The enclose wall of the air-cushioned headbox is polished by the stainless steel.It have the stainless steel holy roll and use the tapered pipe inlet and organic glass diffuser headbox pulp.
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Intelligent manufacturing accelerates the progress of the obvious
Wang Ruihua, deputy director of the Equipment Industry Department of the Ministry of Industry and Information Technology, pointed out that the development of traditional manufacturing industry is subject to various constraints such as resource utilization rate and low return on investment. There is little opportunity for the transformation and upgrading of the past model. Intelligent manufacturing has become the inevitable choice for promoting the transformation and upgrading of global manufacturing. . According to Wang Ruihua, the Ministry of Industry and Information Technology previously relied on CCID to evaluate the effects of 400 enterprises/projects before and after the implementation of intelligent manufacturing. The results show that there are 200 digital workshops that have been built, and more than 30 can reach the international level. Benefits achieve double-digit growth; energy saving and environmental protection effects are significant. For example, she said that compared with the original, a new intelligent project of a company saves 70% of water per ton of product and 58% of solar terms. The company tasted the sweetness and saw the direction.
Wang Ruihua said that in the past three years, in the process of promoting intelligent manufacturing, more than 4,700 intelligent equipments have been innovated and applied, more than 1,700 sets of industrial application software have been developed and used, and more than 1,000 patents have been produced.
Wang Ruixiang, president of China Machinery Industry Federation, pointed out that in 2017, the automation instrumentation, CNC machine tools, machine tool numerical control devices, high-grade CNC bearings and other products closely related to intelligent manufacturing developed well, and the ability and level of intelligent equipment provided by the industry continued to improve. . For example, the soft-formed equipment for the PS2A passenger car radial tire developed by Qingdao Soft Control Co., Ltd. was successful; the casting 3D printing intelligent equipment and technology industrialization application developed by the sharing group achieved a major breakthrough. A number of digital workshops and smart factories with high levels were initially built.
Face up to the gap
"In terms of smart manufacturing, there is still a big gap between China and the world's advanced level. It is necessary to enhance the urgency of accelerating the development of intelligent manufacturing." Wang Ruixiang said that the key core technologies in the field of intelligent manufacturing in China are subject to people, intelligent perception and control. Digital design and manufacturing technology is weak, and key equipment and core components such as high-end CNC systems and high-performance sensors rely on imports. The ecological system of the domestic intelligent manufacturing industry needs to be built urgently. The upgrading and transformation of traditional industries has a long way to go. The backbone enterprises are still growing and have not yet formed innovative capabilities with sufficient competitiveness.
Wang Ruihua said that at present, the domestic intelligent manufacturing industry has a long way to go in terms of core technologies, application levels, and system construction. I hope that all local industries, branches, and alliances will have new practices and new models for reference.
The representatives of the participating companies also pointed out the practical problems faced by many companies. "Many people attended the conference and the report heard a lot, but they still don't know how to start when they are actually implemented." Chen Jihong suggested that the industry should strengthen exchanges and cooperation. Representatives from Gansu Lanke Petrochemical High-tech Equipment Co., Ltd. also proposed that intelligent manufacturing involves multidisciplinary and multi-fields such as big data, cloud computing, and artificial intelligence. Few enterprises can master these technologies independently and comprehensively. He hopes to have a platform to solve problems and help enterprises solve practical problems in the process of intelligent manufacturing promotion.
Plan and integrate resources
Wang Ruixiang pointed out that it is necessary to do a good job in planning measures and realizing the path to promote the development of intelligent manufacturing.
He suggested that the industry should actively adapt to the market demand, starting from the production side, focusing on high-end CNC machine tools and industrial robots, additive manufacturing equipment, intelligent sensing and control equipment, intelligent detection and assembly equipment, intelligent logistics and clear national smart manufacturing engineering. Five key points of warehousing and equipment, focus on a number of key technical equipment; aim at the technical fields covered by intelligent manufacturing, including design, manufacturing, process, testing, control, and perception, accelerate the collaborative research of production, education and research, and concentrate on achieving key breakthroughs; In view of the current bottlenecks such as low integration level, data integration, and interconnection lag, accelerate the integration of quantitative and deep integration, strengthen research on basic common technologies, key industry standards and norms, fill in shortcomings, and enhance basic support capabilities; Cultivate a new model of intelligent manufacturing, build a cloud manufacturing service platform by promoting networked collaboration, and promote comprehensive interconnection of all links in the industry chain; promote flexible transformation and innovation of services and business models by promoting personalized customization; Conduct online fault pre- , The quality of diagnosis and other value-added services, operation and maintenance to reduce production costs and expand the value of space.
Xue Yiping, vice president of China Mobile and chairman of the Intelligent Manufacturing Branch, said that the development of intelligent manufacturing and the integration of resources are the primary tasks. At the same time, it is necessary to build an intelligent manufacturing ecosystem and cultivate brands. It is necessary to promote the introduction of smart innovation resources, promote international production capacity and equipment manufacturing cooperation, and accelerate the international development of intelligent manufacturing. At the same time, we must strengthen the talent cultivation and service of intelligent manufacturing, crack the constraints of lack of high-end talents, shortage of composite and innovative talents, and build a multi-level intelligent manufacturing talent team to support the sustainable development of intelligent manufacturing.
2.Accelerate the stock up to the machine operating speed.
3.Suspend the pulp fibers throughout the outgoing slurry.
Intelligent manufacturing implementation path, development bottleneck, domestic and international gap
"Now some enterprises engage in intelligent manufacturing, there is no intelligence in manufacturing, and finally become a fake intelligent manufacturing; some have no intelligence to manufacture, and become a virtual intelligent manufacturing." The China Machinery Industry Federation Intelligent Manufacturing Branch was held in Beijing recently. At the conference, Chen Jihong, chairman of Wuhan Huazhong Numerical Control Co., Ltd., director of the National CNC System Engineering Technology Research Center, and professor of Huazhong University of Science and Technology, gave a sharp statement, telling the status quo of many enterprises. What are the implementation paths for intelligent manufacturing? Where is the development bottleneck? What are the gaps at home and abroad? How to advance?