Adaptive Kickback Detection in Electric Tools Using Mechanical Sensing
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Solution Overview
Problem
Existing power tools lack effective detection and response mechanisms for kickback events, which can lead to user injuries due to sudden and unexpected forces during machining, especially in heterogeneous materials or when tools are blunt, resulting in impaired operational safety.
Innovation Solution
A power tool equipped with a sensor device capable of detecting mechanical variables such as force, acceleration, speed, deflection, deformation, and stress, and a control device that communicatively couples with the sensor to recognize kickback events using adaptable detection functions based on user experience and environmental conditions, allowing for optimal kickback detection and prevention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor device detects mechanical variables to identify kickback events, then operational safety is improved, but device complexity increases
Solution Approach 1:
The control device is divided into multiple functional modules: a detection function module that identifies kickback events, a determination function module that selects appropriate detection functions based on workpiece properties, and a response function module that executes safety actions. This segmentation allows the complex safety system to be managed through independent, specialized components.
Solution Approach 2:
The system dynamically selects and switches between different detection functions based on real-time workpiece properties and operating conditions. The control device adapts its detection sensitivity and thresholds according to the specific material being processed, allowing optimal kickback detection without requiring a completely different system for each material type.
2Ease of operation
If multiple detection functions are used to accommodate different user experiences, then usability is improved, but device complexity increases
Solution Approach 1:
The system pre-configures multiple detection functions with different sensitivity levels and thresholds tailored to different user experience levels (beginners, intermediates, experts). These functions are prepared in advance and automatically selected based on the detected workpiece properties, eliminating the need for users to manually configure complex parameters.
Solution Approach 2:
The control device automatically determines which detection function to use based on workpiece properties detected by the sensor device. The system self-adjusts its detection parameters without requiring user intervention, making it equally easy to use for beginners while providing advanced functionality for experienced users.
3Reliability
If detection sensitivity is increased for inexperienced users, then safety is improved, but productivity decreases due to unnecessary interruptions
Solution Approach 1:
The system applies different detection sensitivities and thresholds locally tailored to each user's experience level and the specific workpiece properties. Beginners receive highly sensitive detection with low thresholds for maximum safety, while experienced users working with stable materials can operate with less sensitive detection to minimize interruptions. Each user-workpiece combination receives customized detection parameters.
Solution Approach 2:
The system dynamically changes detection parameters including sensitivity levels, threshold values, and response triggers based on workpiece properties and selected detection functions. This allows the same hardware to provide different detection strictness levels, ensuring safety for inexperienced users while maintaining productivity for experienced users working with predictable materials.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enhances user safety by enabling the power tool to detect kickbacks more accurately, reducing unnecessary interruptions for experienced users while ensuring sensitive detection for inexperienced users, thereby improving overall usability and safety during operation.
Implementation Method 1
a sensor device (2) for detecting a mechanical variable (3), the mechanical variable (3) comprising a force
Implementation Method 2
the mechanical variable (3) comprising a force, an acceleration, a speed, a deflection, a deformation and/or a mechanical stress
Data Source
Figure 1~2
Figure 3
Figure 4~6
AI summary
The invention relates to an electric tool (10; 20; 30) comprising a rotatable tool (1) embodied as a saw blade or mill, provided with a sensor device (2) for detecting a mechanical variable (3), the mechanical variable (3) comprising a force, an acceleration, a speed, a deviation, a deformation and/or a mechanical tension, said mechanical variable (3) depending on a force exerted by the tool (1), said electric tool also comprising a control device (4) that is communicatively coupled to a sensor device (2) and is designed to identify a kickback event on the basis of the detected mechanical variable (3), the control device (4) being designed to selectively determine, on the basis of function-determining information, a first identification function or a second identification function that is different from the first identification function, and to carry out the identification of the kickback event based on the detected mechanical variable, using the determined identification function.