Ultrasonic Scalpel Shaft Temperature Modeling for Power Control

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Solution Overview

Problem

Existing ultrasonic scalpel systems face challenges in accurately controlling blade shaft temperature due to variations in reference resonance frequencies and complex working states, leading to potential thermal damage or inefficient cutting.

Innovation Solution

A temperature control method and system based on a temperature distribution function model, utilizing a neural network algorithm that inputs real-time working feedback, physical structure, and environmental parameters to estimate and adjust the blade shaft temperature, ensuring accurate temperature modulation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the reference resonance frequency method is used to infer ultrasonic scalpel temperature, then the measurement process is simple, but the temperature inference accuracy is insufficient due to variations in reference resonance frequencies and complex working states

Engineering Contradiction:
Improvetemperature measurement simplicityVSAvoidtemperature inference accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent transforms the temperature measurement approach by changing from a single resonance frequency parameter to multiple parameters including resonance frequency, voltage, current, power, impedance, blade shaft characteristics, and environmental factors. This multi-parameter transformation enables accurate temperature inference while accounting for variations in reference resonance frequencies and complex working states.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements a feedback mechanism where real-time working parameters (voltage, current, power, impedance) and environmental parameters are continuously monitored and fed into the temperature distribution function model. This feedback loop allows the system to dynamically adjust temperature inference based on actual working conditions, resolving the contradiction between measurement simplicity and accuracy.

Inventive Principle:
Principle #23Feedback

2Productivity

If the blade shaft temperature is not controlled, then the cutting efficiency is high due to rapid thermal effect, but thermal damage occurs to surrounding tissues and the gasket

Engineering Contradiction:
Improvecutting efficiencyVSAvoidthermal damage to tissue and gasket
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent uses real-time feedback from multiple sensors monitoring working parameters and environmental conditions to continuously update the temperature distribution function model. This feedback enables the system to predict blade shaft temperature and adjust power levels to maintain efficient cutting while preventing thermal damage to surrounding tissues and the gasket.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by using the temperature distribution function model to predict future temperature trends based on current working parameters. This allows the system to take preventive measures by adjusting power levels before excessive temperature reaches critical thresholds, thereby preventing thermal damage while maintaining cutting efficiency.

Inventive Principle:
Principle #10Preliminary action

3Object-affected harmful factors

If the blade shaft temperature is controlled to prevent thermal damage, then tissue safety is improved, but cutting speed decreases due to reduced thermal effect

Engineering Contradiction:
Improvethermal damage preventionVSAvoidcutting speed
Core Design Contradiction:
Object-affected harmful factorsVSSpeed

Solution Approach 1:

The patent applies dynamics by making the power level adjustable and responsive to real-time conditions. The system dynamically optimizes the balance between temperature control and cutting speed by continuously adjusting power levels based on the temperature distribution function model predictions, rather than using fixed temperature limits. This enables the blade shaft to operate at higher temperatures during cutting for speed, then rapidly cool to prevent thermal damage.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes multiple parameters simultaneously (power level, duty cycle, pulse width) to achieve precise temperature control. By transforming the control from a single parameter to multiple parameters, the system can maintain cutting speed through optimized energy delivery while preventing excessive temperature accumulation that would cause thermal damage.

Inventive Principle:
Principle #35Parameter changes

4Device complexity

If a simple resonance frequency difference method is used, then the device complexity is low, but the temperature control accuracy is insufficient for complex working states

Engineering Contradiction:
Improvecontrol system complexityVSAvoidtemperature control accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent achieves universality by creating a temperature distribution function model that handles multiple working states and conditions through a unified approach. The model integrates resonance frequency, electrical parameters, blade shaft characteristics, and environmental factors into a single comprehensive system that accurately predicts temperature across diverse surgical conditions, resolving the contradiction between simple device design and accurate temperature control.

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

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 system effectively estimates and controls the blade shaft temperature, preventing thermal damage and optimizing cutting efficiency by accurately modulating the power level applied to the transducer.

Implementation Method 1

a piezoelectric converter (the electric energy is transmitted to the piezoelectric converter by an energy generator, which converts the electrical energy into mechanical energy)

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 2

The transducer converts electrical energy into mechanical energy for front and rear vibration, and enables, through transmission and amplification of the ultrasonic scalpel blade shaft, the tip of the blade shaft to vibrate at a certain frequency (for example, 55.6 kHz)

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 3

Heat is generated through mechanical vibration, which results in destruction of the collagen structure in the tissue

Methodology Applied
Scientific EffectUltrasonic vibration heating: Ultrasonic Vibration

Implementation Method 4

Due to the heat generated by friction, the water in tissue cells in contact with the blade tip vaporizes, hydrogen bonds of the protein break

Methodology Applied
Scientific EffectFriction heating: Friction

Implementation Method 5

Heat is mainly diffused through the ultrasonic scalpel blade shaft, the tissue, and air

Methodology Applied
Scientific EffectThermal conduction: Conduction (thermal)

Implementation Method 6

Heat is mainly diffused through the ultrasonic scalpel blade shaft, the tissue, and air

Methodology Applied
Scientific EffectThermal convection: Convection

Data Source

PatentUS20240164803A1Ultrasonic scalpel rod temperature control method and system based on temperature distribution function model
Publication Date: 2024.05.23 INNOLCON MEDICAL TECHNOLOGY (SUZHOU) CO LTD
  • US20240164803A1 patent drawing
  • US20240164803A1 patent drawing
  • US20240164803A1 patent drawing

AI summary

The present invention discloses a temperature control method and a system for a blade shaft of an ultrasonic scalpel based on a temperature distribution function model. The system includes the blade shaft of the ultrasonic scalpel and a transducer that are coupled to each other, and is connected to a generator through a cable. When the blade shaft of the ultrasonic scalpel works, actual temperature of the blade shaft is distributed along a one-dimensional space of the blade shaft. The temperature distribution on the blade shaft is determined by a set of the real-time working feedback parameter, the physical structure feature parameter, and the surrounding environmental parameter of the blade shaft. Each temperature distribution corresponds to a solution of the temperature distribution function, and the function can be approximated by a machine leaning algorithm. When the blade shaft of the ultrasonic scalpel works, the real-time temperature distribution of the blade shaft can be estimated by inputting, into a machine leaming algorithm model, feature parameters such as the real-time resonance frequency, voltage, current, impedance, power, shape, and environment parameters of the blade shaft. Power control is performed based on the estimated temperature, which is accurate and effective.