Machine Tool Contact Pressure Optimization via Power Consumption

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Solution Overview

Problem

Existing machine tool operation guidance systems fail to provide long-term feedback on user work behavior, lacking objective comparisons to standardized practices, which limits users' ability to optimize their performance and reduce wear over time.

Innovation Solution

A method that indirectly determines contact pressure using power consumption data, compares it to a normal distribution derived from comparative measurements across similar machines, and displays recommendations for adjustment, enabling users to improve their work behavior by visualizing deviations from optimal ranges.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If conventional performance indicators and recommendations are displayed to users, then users can see whether the machine tool is being used within optimal performance range, but users do not receive long-term feedback on how to improve their work behavior

Engineering Contradiction:
Improvelong-term feedback informationVSAvoidoptimization of work behavior
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The system pre-calculates and stores a normal distribution curve based on aggregated contact pressure data from multiple users and numerous measurements. This pre-computed reference model is then used to evaluate individual user performance and provide actionable recommendations for long-term behavior optimization.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements a closed-loop feedback mechanism where contact pressure data is continuously measured, compared against the normal distribution, and used to generate recommendations that are displayed to users. This feedback loop enables users to see both their current performance and long-term improvement potential.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If contact pressure is measured and displayed in real-time, then users can adjust their work behavior to achieve optimal performance range, but users lack objective comparison to standardized work behavior

Engineering Contradiction:
Improveadjustment of contact pressureVSAvoidcomparison to standardized behavior
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system compares each user's contact pressure measurements against a pre-established normal distribution curve derived from standardized work behavior data. This feedback mechanism provides users with objective comparison information, showing how their performance deviates from the standard and guiding them toward optimized behavior.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system transforms raw contact pressure measurements into meaningful comparative metrics by evaluating them against the normal distribution parameters (mean and standard deviation). This parameter transformation converts absolute pressure values into relative performance indicators that enable objective comparison with standardized behavior.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If multiple measurements from numerous devices are aggregated to create a normal distribution, then a standardized reference for comparison can be established, but data collection and processing complexity increases

Engineering Contradiction:
Improvestandardized reference accuracyVSAvoiddata aggregation system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system creates a universal normal distribution model that serves as a standardized reference applicable across multiple devices and users. This single aggregated model consolidates data from numerous measurements and devices, providing a multi-functional reference that can be used for comparing and optimizing any individual user's performance.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system merges contact pressure data from multiple users and numerous measurements into a single aggregated normal distribution curve. By combining these diverse data sources, the system creates a robust standardized reference that captures the collective work behavior patterns while simplifying individual comparison.

Inventive Principle:
Principle #5Merging (Combining)

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

Enables users to practice and optimize their work behavior by providing objective feedback on contact pressure, allowing for improved performance and reduced wear, and facilitates training by foremen to enhance group efficiency.

Implementation Method 1

Indirect determination of the contact pressure p(t) using a current consumption of the machine tool

Methodology Applied
Scientific EffectElectrical power consumption measurement:

Data Source

PatentEP3786738B1Method for optimised working with a machine tool
Publication Date: 2024.07.03 HILTI AG
  • EP3786738B1 patent drawingFigure 1

AI summary

The present invention relates to a method for optimizing the operation of a machine tool, wherein the machine tool is pressed against a surface by a user at a time t during its operation with a contact pressure p(t). A fundamental concept underlying the invention is that the contact pressure is compared to a normal distribution, and a recommendation for the contact pressure to be applied in the future is derived from this comparison and displayed on a display device. Based on this recommendation, users can learn or practice optimized working practices with the machine tool. Supervisors can use the method to improve the handling of machine tool users under their supervision. This can be achieved, for example, by focusing on the performance of the machine tool or on reducing wear.