Mobile Phone Screwdriving Digital Twin for Real-Time Parameter Tuning
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Solution Overview
Problem
Current screwdriving technologies in mobile phone manufacturing lack a comprehensive knowledge system and optimal automation, relying mainly on manual operations and mechanical adjustments, which hinders intelligent optimization and affects screwdriving quality.
Innovation Solution
The implementation of a digital twin model-based optimization system that includes a mobile phone data acquisition module, technological framework module, algorithm module, simulation platform, and information feedback module, utilizing neural networks and virtual-real synchronous technology to synchronize and optimize screwdriving processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual screwdriving operations are used in mobile phone manufacturing, then operational flexibility and adaptability are maintained, but manufacturing precision and productivity are insufficient
Solution Approach 1:
The patent replaces manual mechanical screwdriving operations with an automated screwdriving device controlled by a computer system. The device includes automated positioning mechanisms, torque control systems, and integration with manufacturing execution systems to eliminate manual intervention while maintaining or improving screwdriving quality through precise digital control of drilling depth, torque, and screw insertion parameters.
Solution Approach 2:
The patent implements automated control of screwdriving parameters including drilling depth, torque values, screw insertion speed, and positioning coordinates. These parameters are digitally programmed and automatically adjusted based on the specific mobile phone model and assembly requirements, enabling precise control that exceeds manual operation capabilities while maintaining adaptability through software configuration.
2Productivity
If automated screwdriving devices are implemented, then productivity and manufacturing precision improve, but device complexity increases
Solution Approach 1:
The automated screwdriving device is designed as a multi-functional integrated system that combines drilling, screw insertion, torque control, and positioning capabilities in a single device. The system can handle multiple screw types, sizes, and assembly locations, and can be reconfigured through software for different mobile phone models, reducing the need for multiple specialized devices while maintaining high productivity.
Solution Approach 2:
The patent introduces a computer control system and manufacturing execution system as intermediaries between the automated screwdriving device and the manufacturing process. These software layers manage the complexity by providing user-friendly interfaces, automated parameter selection, and integration with existing production systems, thereby simplifying operation while enabling advanced automated functions.
3Reliability
If experience-based parameter selection is used, then operational simplicity is maintained, but manufacturing precision and reliability are insufficient
Solution Approach 1:
The automated screwdriving device incorporates feedback mechanisms including torque sensors, position encoders, and quality detection systems that monitor each screwdriving operation in real-time. The system compares actual parameters against predetermined specifications and automatically adjusts or flags deviations, ensuring consistent quality and reliability while maintaining operational simplicity through automated monitoring rather than manual inspection.
Solution Approach 2:
The system performs preliminary programming of all screwdriving parameters including torque values, drilling depths, screw specifications, and positioning coordinates before production begins. These parameters are stored in a database and automatically retrieved based on the mobile phone model, eliminating the need for operators to rely on experience-based adjustments while ensuring consistent, reliable results across all operations.
Data Source
AI summary
Disclosed are an optimization method and a system based on a screwdriving technology in mobile phone manufacturing. The method comprises: acquiring mobile phone machining data; establishing a technological framework; determining initial screwdriving technological parameters and a range of the screwdriving technological parameters by a neural network algorithm; building a digital twin model of a screwdriving device by a digital twin technology and establishing a virtual-real synchronous real-object simulation platform to make a real object and a simulation model run synchronously; integrating the digital twin model of the screwdriving device with each module to synchronize data of the screwdriving device with data of each module; and if screwdriving feedback information is abnormal, optimizing the screwdriving technology according to the range of the parameters. A real-time running state can be tested and technological parameters can be monitored during technological process, and parameters in the screwdriving technological process can be adjusted in time.