Construction Panel Screw Tightening Using Torque Feedback
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Solution Overview
Problem
Construction panels, such as plasterboards, often experience mechanical and visual defects during screwing due to issues like infinite screwing, failure to penetrate, protruding screw heads, and material deformation, which affect the mechanical strength and aesthetic finish of the panels.
Innovation Solution
A method for tightening screws that involves monitoring the tightening torque to determine specific torque values, including a first maximum torque, a second minimum torque, and a stoppage value greater than the first maximum torque, ensuring the screw is securely fastened without damaging the panel or framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If continuous screwing force is applied to fasten the construction panel, then the fastening operation is simplified, but screwing defects such as infinite screwing, failure to penetrate, protruding heads, and material deformation occur
Solution Approach 1:
The patent implements feedback control by monitoring the tightening torque in real-time during the screwing operation. The system detects characteristic torque patterns (first maximum, second minimum, third maximum) to determine the screwing state and automatically adjusts or stops the tightening force, preventing defects while maintaining operational simplicity.
Solution Approach 2:
The patent replaces manual mechanical control of screwing force with an automated system that uses torque sensors and control algorithms. This substitution allows precise control of the tightening process based on real-time torque feedback, eliminating the need for operator skill while preventing over-tightening and related defects.
2Strength
If higher tightening torque is applied to ensure secure fastening, then the mechanical strength of the connection is improved, but material deformation and visual defects increase
Solution Approach 1:
The system uses torque feedback to precisely control the tightening process. By monitoring the torque curve and identifying characteristic points (first maximum during penetration, second minimum during threading, third maximum during head seating), the system applies exactly the right amount of force needed for secure fastening without exceeding the threshold that would cause material deformation.
Solution Approach 2:
The patent changes the control parameter from fixed torque or force to dynamic torque monitoring with multiple characteristic value detection. This allows the system to adapt the tightening process to the specific material properties and screwing conditions, achieving optimal balance between connection strength and surface quality.
3Reliability
If manual screwing control is used to prevent defects, then the quality of fastening is maintained, but the productivity and consistency of the operation decrease
Solution Approach 1:
The system performs self-control by automatically detecting the torque characteristics and determining when to stop tightening based on the identified pattern (first maximum, second minimum, third maximum). This self-service capability eliminates the need for continuous manual monitoring while maintaining high fastening quality, thereby improving productivity and consistency.
Solution Approach 2:
The patent replaces manual sensory and control mechanisms with automated torque sensing and control systems. This substitution enables consistent, repeatable fastening operations at higher speeds without sacrificing quality, as the electronic control system can process torque data and adjust parameters faster than human operators.
4Reliability
If torque monitoring is implemented to detect characteristic values, then screwing defects are eliminated, but the device complexity increases
Solution Approach 1:
The patent implements feedback control with torque monitoring that detects three characteristic values during the screwing process. This feedback mechanism provides reliable defect prevention by identifying the screwing state through torque patterns, while the complexity is managed through algorithmic processing of the torque curve rather than additional physical components.
Solution Approach 2:
The system monitors torque as a function of time or rotation angle, transforming the physical screwing process into a measurable parameter curve. By analyzing this torque parameter and its characteristic extrema, the system achieves reliable defect detection with relatively simple sensing and processing requirements.
Data Source
AI summary
A method for tightening a screw for fastening a construction panel to a support of the construction panel, in which the fastening screw is screwed through the construction panel and then through at least part of the support, includes a monitoring of a change over time of a tightening torque of the fastening screw, with determination of a first maximum torque value and then of a second minimum torque value, and after determination of the second minimum torque value, a stoppage of the tightening of the fastening screw for a torque value, termed stoppage value, corresponding to a third maximum torque value or being determined after an occurrence of a third maximum torque value.