cnc machining

However, different from other controller brands or digital avatars composed of multiple software on the platform, after introducing the RMVM function of Siemens SINUMERIK ONE digital native controller, Dongtai can allow customers to estimate the cycle time (cycle time) before accepting orders. ), the accuracy rate is as high as 99% or more. And for automated processing cell equipment, simulating tool magazines, robot unit tool changing actions, or synchronizing multi-machine real-time simulation (real time) will effectively reduce the time and trial-and-error cost of real machine testing and verification, and can be improved offline. The evaluation will not affect the actual production line, and can be used to educate and train students with confidence, avoid collisions, damage the machine, and shorten the start-up time. The first piece is required to be ready.

At the same time, it can provide tool management solutions, so that customers can perform the load monitoring function even with medium and low-end CNC controllers, collect and display the tool and material management information of each production line online, and set the upper and lower thresholds of overload time limit. , once the tool is damaged or broken, it will give an alarm, in order to meet the general automation requirements of Dongtai, and continue to automatically produce good products.

Siemens, a major CNC system manufacturer, said that thanks to the accelerated pace of digitalization in recent years due to the epidemic, Siemens is still leading the industry to overcome challenges such as Industry 4.0 and digital transformation in the industrial field, and has introduced the latest high-efficiency control systems, digital clones, edge Forward-looking technologies such as computing and cloud applications, use data to create unlimited value, and build a machine tool industry ecosystem.

At the same time, it continues the concept of digitization at different stages from product design, implementation of production and optimization processes, and forms a complete closed loop of data. Whether it is a machine tool manufacturer or a terminal processing industry, it can be used for output. The best machine or workpiece has recently introduced experts from the German headquarters to cooperate with customers to develop a new process for processing 3 eccentric butterfly valves, which overcomes the problems that cannot be solved by traditional CAD/CAM software or FANUC controllers, and is cost-effective.

Xu Renji, Business Development Manager of Siemens, further pointed out that the world's first digital native CNC controller SINUMERIK ONE, which was first announced at EMO Milan in 2019, took the lead in cooperating with more than 10 machine tool manufacturers, emphasizing that it can truly integrate virtual and real machines and use edge computing. , to collect and analyze high-frequency information data from the sensors of key component manufacturers such as Siemens or NSK, Dongpei (TPI), etc., and the cost will be gradually reduced.

At the same time, through the Internet of Things open communication protocol at the bottom of the CNC controller, software and hardware integration, uploading information to the powerful software and hardware of different solutions of the MindSphere platform, making full use of the data of machine tool manufacturers and terminal processors, enabling them to Continuous improvement, forming an industry knowhow, adding many new NC functions, but not necessarily uploading a large amount of data to the cloud, increasing the cost of metering. But in the end, Siemens still hopes that all related applications will be certified and commercialized to generate maximum benefits and productivity and shorten the time-to-market.

As of 2021, 28 manufacturers have imported SINUMERIK ONE and developed 20 new virtual and real machines. For example, in cooperation with Yongjin Machinery for digital experience, after first creating a virtual machine tool through software, the design was revised and verified in just 1.5 months before the actual production was decided; the adaptive cutting and tool monitoring functions can also be used for the first time. AI machine learning is used during cutting to optimize cutting conditions during re-processing, increasing productivity by 30%.

It is especially suitable for today's lack of work, long delivery time and space constraints. It can quickly provide cutting advice to agents and end users, as well as promote their successful business model and obtain new orders from customers. Xu Renji said: "In the beginning, the customer only wanted to use IoT to build a war room, but he did not expect to improve the performance by at least 15%, and even shutting down a piece of equipment would not damage production capacity. digital transformation."

The cooperation with Sanlong Gear, a terminal processor, satisfies its desire to trace the production line dynamics and proactively identify production bottlenecks to break through. Siemens ensures that it can quickly connect to the cloud MindSphere, without having to go through a large number of other servers to connect from the middle, within one day. Just find out the bottleneck and assist terminal processors from design, execution to production and optimization to form a complete closed cycle of data; in addition, cooperate with Microsoft and Amazon to ensure safe information

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