The era of incremental smartphones is coming to an end in 2017. The market research agency Canalys reported that China's smartphone shipments fell for the first time in 2017. Statistics from the Ministry of Industry and Information Technology show that in 2017, China produced 1.9 billion mobile phones, a growth rate of 18.7 percentage points lower than that of 2016. This means that the mobile phone market is already saturated, and it must be transformed from sales to quality. 5G is about to commercialize and AI penetrates into smart phones. These two opportunities provide a huge opportunity for the mobile phone market to change and upgrade. Compared with 5G, AI will greatly enhance the mobile phone experience from the performance level, which is the key technology path for smart phones to become smarter. 5G+AI will trigger a real new change. The replacement of mobile phones will obviously drive the market to expand. Some analysts believe that the future development of Chinese smart phones is focused on 5G and artificial intelligence. Since 2017, AI has shown an obvious trend, and mobile phone manufacturers generally regard artificial intelligence as the next slogan. "I personally are more optimistic about the landing of artificial intelligence on mobile phones." Lin Bin, co-founder and president of Xiaomi, said that how to use artificial intelligence and good language recognition to improve the mobile phone experience is the future direction. The future mobile phone in his mind can replace the user to see and listen, can answer the questions raised by the user, and can find the information that the user can't find. Throughout the mobile phone market in recent years, the performance and spelling parameters have always been the core of the competition. Compared with last year's camera wars and comprehensive screen wars, AI is more optimistic about the revolution of smartphones. At present, the attitudes of major mobile phone manufacturers to AI are relatively uniform. It is generally believed that AI is a tool to enhance user experience and enhance experience. "I think AI is the basic tool." The CEO of vivo, Shen Wei, believes that the most important thing for manufacturers is to be user-oriented and let AI create value for consumers. OPPO CEO Chen Mingyong believes that mobile phones not only have photos, face recognition, but also some basic experiences, making mobile phones faster, more comfortable and safer to use, all of which can use AI. Cheng Lixin, general manager of ZTE's terminal business unit, believes that artificial intelligence is an enhanced intelligence, which aims to help people save time that they don't need to spend. "Our consideration of artificial intelligence is to hope that many simple, programmatic things let the machine handle. ." In fact, a large amount of data is transmitted, stored and processed in mobile phones, and users spend more and more time on mobile phones. A personal big data model is built in the mobile phone, and content related to the user and the user's attention is selected for more. Easy to use and share is especially important. Zhang Xuezheng, chairman of Wentai Technology, believes that AI has practical application requirements in at least two areas, one is photographing and image, and the other is to call various instructions and data processing through voice. Just taking a photo on a mobile phone, is it possible to go beyond the entry micro-single by using AI and other technologies? Zhao Ming, president of Huawei Glory, believes that if you consider hardware, algorithms and people shooting, artificial intelligence can completely surpass the micro-single, because AI photos can learn the optimal parameter settings, give the best shooting angle recommendations, The advantages of AI photography will become more and more obvious. AI can greatly change the experience of mobile phones, and the faster rate and lower latency of 5G is essentially a prerequisite for AI value and an engine that promotes AI. Many application companies and mobile phone companies are waiting for the arrival of the 5G era, because mobile phones in the 5G era may realize the transcendence of human intelligence in individual fields, and some super applications will break out. Intelligent changes driven by artificial intelligence have arrived, and this change will drive the new era of intelligence faster because of the commercialization of 5G. "The real beginning of the intelligent era must be after the commercialization of 5G." Yang Yuanqing, chairman and CEO of Lenovo Group, said that 5G will be the most critical infrastructure for intelligence, and it is the "three elements" to promote data, computing power and algorithms. The accelerator of development is an indispensable catalyst for the transformation of all walks of life. As a complement, the combination of machine learning and the cloud can support more important applications, and the mobile platform supporting smartphones is the carrier of this combination. At Qualcomm President Christiano? According to Amon, the integration of 5G, artificial intelligence and machine learning will lead to a stronger 5G revolution. As Qualcomm is looking for, with the development of more powerful machine learning capabilities in artificial intelligence applications and training in the cloud, benefiting from cloud connectivity, these applications will become part of everyone's edge use cases, especially on smartphones. Previously, 3G and 4G have mainly improved the connection experience between people, and 5G will promote the real Internet of things and intelligence. Not only will our smartphones be online, but our PCs, tablets, and the wider IoT will be in the future. In this way, the data transmission is truly accessible, and the user's accessibility and accessibility services are provided. As the core platform connecting the mobile Internet and the future Internet of Things, the combination of smart phones and artificial intelligence concepts can be said to be the general trend. Because smartphones are recognized as the best carrier of AI technology. From face recognition to voice assistants, feature application acceleration has become popular on smartphones, and AI has become the main battleground for mobile phone manufacturers to compete. This year we will see a completely different smart phone industry. On the one hand, we will make the most comprehensive preparation for the pre-emptive 5G. On the other hand, AI will accelerate the empowerment and will affect the next step of the development of the smart phone industry with 5G. (Xinhua)
The first process of Investment Casting production is the manufacture of investment mold, investment mold is used to form the cavity in the refractory shell model, so in order to obtain the casting with high dimensional accuracy and surface finish, the investment mold itself should have high dimensional accuracy and surface finish. In addition, the performance of the melt itself should also make the subsequent shell making process as simple as possible. In order to obtain the above high quality requirements of the investment die, in addition to good pressure (pressing the investment die), but also must choose the appropriate mold material (referred to as the mold) and reasonable mold making process.
The advantage of the investment casting method is that it can cast complex castings of various alloys, especially high temperature alloy castings. For example, the blade of jet engine, its streamlined outer profile and cooling inner cavity, with machining process almost impossible to form. Investment casting process can not only achieve mass production, ensure the consistency of castings, but also avoid the stress concentration of residual blade lines after machining.
The biggest advantage of investment casting is that because investment casting has a very high dimensional accuracy and surface finish, so it can reduce the machining work, just leave a little machining allowance in the parts requiring higher parts, and even some castings only leave grinding and polishing allowance, without mechanical processing can be used. It can be seen that the investment casting method can greatly save machine tools, processing time and metal raw materials.
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