SIGER Adjust Machining System

The SIGER Adjust Machining System achieves optimization of machining efficiency and reduction of CT cycle time by increasing feed rate and shortening cycle time while reducing idle time and ensuring quality through constant speed variable feed rate;

The Adjust Machining System is based on real-time monitoring technology and intelligent adjustment algorithms to achieve real-time adjustment of machine tool spindle power. Combined with cutting process learning, it automatically adjusts the spindle feed rate to the optimal parameter. At the same time, the AMS adjust machining system is designed for specific tool and part materials, and sets upper limits based on the corresponding tool process load. In case of high load conditions during the machining process, the feed rate will be automatically reduced to ensure stable and safe quality of the machining process;

Process management status: The process is separated from the actual working conditions | machine capacity depends on the experience of personnel, and it is difficult to improve efficiency

Adjust Machining system (AMS) : Real-time spindle power monitoring | knife fibrillation analysis efficiency optimization | real-time dynamic adjustment into the optimization efficiency

• ■  Based on the power load signal acquisition, the real-time monitoring of the machine tool processing process and the power changes.
• ■  Automatic identification of tool cutting process processing smooth stage, acceleration and deceleration stage, instead of manual monitoring.
• ■  Automatic analysis of the stationary stage and acceleration and deceleration interval optimization strategy, optimize the feed rate, processing beat reduced by 25%.
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 Hardware structure and data flow :   

Monitoring and optimization of the processing process:

The machine tool processing process is divided into acceleration and deceleration stage, air processing stage, smooth processing stage and tail processing stage.

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• ■   Basic analysis points: optimization of acceleration and deceleration, adaptive adjustment of cutting process, etc.

• ■  Optimization of cutting process: real-time dynamic feed adjustment to optimize efficiency.

• ■  Optimization of acceleration and deceleration air stroke: feed amount and speed and position, give the feed speed optimization of the initial feed segment.
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Adjust Machining system monitoring principle:

During the machining process, the main shaft provides the cutting force for the machining tool, and the size of the cutting force is positively correlated with the spindle load, so the actual working condition is obtained through the collecting power load; the system automatically identifies the acceleration and deceleration interval and the smooth cutting area after filtering the power signal to adjust the feed rate in real time to optimize the processing efficiency!

Efficiency optimization steps: Acceleration and deceleration process separation | efficiency optimization strategy calculation | real-time adjustment of machine feed

Hardware installation schematic:Current transformers | AD conversion module | 24V power module | Edge computing terminals | HMI interactive screen

AMS function realization: basic process configuration | process parameter configuration | process data collection | process data automatic analysis

Application scenarios of the AMS efficiency optimization system:

System adaptation range:

• ■  Applicable machine tool types: machining center, gantry, lathe, vehicle and milling compound and other machine tool cutting scene.

• ■  Applicable processing technology: mass repeated processing, mass nested process processing, small batch processing, rough / finishing and 
•    other process types(No less than 10 silk).

• ■  Applicable processing method: turning | milling | drilling | | tapping surface.
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SCADA system integration                                                        Data export, system integration, and centralized monitoring display! 

The system reserved communication interface supports alarm data and characteristic curve export, tool monitoring data summary display, third-party platform docking display.

The optimized machine tool's single workpiece processing time

Field Implementation Verification: By combining the actual turning load on-site and utilizing a variance eigenvalue calculation model, acceleration/deceleration intervals and stable cutting intervals are separated through threshold setting; adaptive optimization strategies are applied for different stable cutting intervals.

System Value Output: The unoptimized machine tool's single workpiece processing time is 100.8s; after optimization, it is reduced to 88.6s; the average optimization efficiency is approximately 12.14%.

System benefit comparison:

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Official Contact Info:

Email: marketing@siger-data.com

WhatsApp: +86 189 6235 3927

WeChat:189 6235 3927