For machine tools to become intelligent, the front-end sensor data must be highly effective. However, the ever-changing tools and machining programs, as well as the different dynamic stiffness characteristics of machine tools, cause many obstacles to cutting in the process of intelligentization. It is very important to trace the overall physical characteristics of each processing machine on the production line. We can use any sensor, such as smart tool handle, smart cutting, accelerometer, strain gauge, temperature sensing, encoder and many motor characteristics, etc. Effective comprehensive analysis of data, accurate measurement of various anomalies and optimization degrees of production line equipment in the cutting process, we also from the analysis of R & D personnel to the intuitive operation of the on-site master, no longer let cutting manufacturing go through a lot of trial-and-error heavy work. The way is truly moving toward digital manufacturing.
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Smart manufacturing production line sensor Matching Solution
Any sensor, such as smart cutting tool, smart cutting, accelerometer, strain gauge, temperature sensing, encoder, and many electric machinery characteristics can be effectively and comprehensively analyzed depending on the overall physical characteristics of each processing machine on the production line and accurately measure various anomalies and optimization levels of the production line equipment in the cutting process.
The three priority conditions for optimizing the process are quality, time and cost.
The target benefit in the production process can be accurately calculated as long as the production requirements and indicators of the product are clearly known.
Adjust for different machines, monitor key tools and equipment during production, and reduce downtime and maintenance costs.
Master the cutting quality and life of each process, and instantly understand the processing status to avoid tool wear, tool breakage, or broken parts, resulting in cost.
Have you encountered such a problem?
Tool damage causes variation in machining quality
During the cutting process, the temperature will rise along with it, which will affect the wear of the tool, and after a long time of cutting, to a certain extent, the roughness of the machined surface will become larger and the wear rate will increase, resulting in the tool being unusable in the end, but defective products have already occurred in the process. In this case, in the past, the number of parts to be processed or experience was used to judge whether to replace the tool. The former will incur the cost of early replacement of the tool, and the latter will generate a lot of labor costs due to the need for manual evaluation, and it will be a huge cost accumulated over a long period of time.
So what are the benefits of our service?
Real-time monitoring of processing status
There are so many processing methods encountered on the production line, each way depends on the unique mechanical characteristics of each device, making it difficult to integrate all the processes. Machsync can be highly intelligent for any cutting type during machine tool processing, and can easily grasp the cutting quality and life of each process, and instantly understand the processing status to avoid costs such as tool wear, broken tools or bad parts.
Rapid process optimization and computational efficiency
Optimizing the process is nothing more than three priorities, quality, time and cost. As long as customers clearly know the production requirements and indicators of their own products, they can calculate the target benefits in the production process according to these characteristics. This requires cutting data to achieve the optimization level in a short period of time that an average master spends a lifetime of experience.
24/7 non-stop cutting production
Most mass manufacturing will focus on output as the main goal. As long as the equipment is still running, there will be no downtime, which often leads to gradual variation in quality and a vicious circle, which ultimately increases production costs. Through the sensor-side matching solution, adjustments can be made for different machines, and key tools and equipment can be monitored during the production process, thereby reducing downtime and maintenance costs.
Clearly trace back equipment quality
After a long period of processing and measurement, the quality variation of the equipment itself can be effectively and comprehensively analyzed, and the timing of equipment maintenance can be more accurately grasped.
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