Piston Rim Damage Counting via Combustion Sensor Feedback
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Solution Overview
Problem
Current methods for analyzing piston rim damage in internal combustion engines are inadequate as they primarily focus on laboratory conditions and do not account for real-world temperature and pressure variations over time, lacking the ability to monitor actual damage effectively.
Innovation Solution
A control system embedded within the engine that includes sensors to measure combustion process parameters, a controller to determine heat and pressure, and models to calculate heat flux and temperature at the piston rim, allowing for real-time tracking of damage based on time, temperature, and pressure exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If laboratory-based finite element analysis is used to design piston bowls, then piston design can be optimized for expected strain, but real-world damage conditions cannot be accurately monitored
Solution Approach 1:
The system continuously monitors combustion chamber temperature and pressure using sensors, feeds this data to the controller which calculates heat flux and rim temperature in real-time, and uses this feedback to track cumulative damage. This closed-loop feedback mechanism allows the system to adapt to actual operating conditions rather than relying solely on pre-design calculations.
Solution Approach 2:
The patent replaces physical laboratory testing and mechanical strain measurement with a computational model that uses thermal and mechanical equations to calculate rim stress and damage. The controller substitutes direct mechanical measurement with mathematical modeling based on temperature and pressure data.
2Duration of action of stationary object
If engineers design pistons to withstand extreme temperatures, then piston durability is improved, but the complexity of designing for variable real-world conditions increases
Solution Approach 1:
The system monitors changes in temperature and pressure parameters during engine operation and uses these parameter variations to calculate cumulative damage. By tracking parameter changes over time rather than designing for fixed maximum values, the system accounts for variable real-world conditions without requiring overly complex design margins.
Solution Approach 2:
The damage tracking system is pre-configured with material properties, thermal models, and damage thresholds before engine operation begins. This preliminary setup allows the system to immediately start monitoring and calculating damage during normal operation without adding operational complexity.
3Measurement precision
If more sensors and monitoring equipment are added to track combustion parameters, then damage monitoring accuracy is improved, but system complexity and cost increase
Solution Approach 1:
The controller performs multiple functions: it manages standard engine control operations, calculates heat flux through the piston, determines rim temperature, tracks time at various temperature-pressure conditions, and accumulates damage metrics. By making the controller multi-functional, the system avoids adding separate dedicated hardware for each function, thereby reducing overall system complexity.
4Reliability
If real-time damage tracking is implemented, then predictive maintenance capability is improved, but data processing requirements and computational load increase
Solution Approach 1:
The system calculates damage based on monitored temperature and pressure data when these parameters exceed predefined thresholds or during specific combustion events. Rather than continuously processing all data at maximum computational intensity, the system applies partial action by focusing calculations on relevant operating conditions, thereby reducing overall computational energy consumption.
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 accurate, real-time monitoring and counting of piston rim damage, enhancing engine reliability by predicting and addressing damage before it becomes excessive, thus extending piston lifespan and maintaining engine performance.
Implementation Method 1
determine an amount of heat and a pressure generated inside the at least one combustion chamber based on the signal and a combustion model of the engine
Implementation Method 2
determine a heat flux through the piston based on the amount of heat and a heat flux model of the piston
Implementation Method 3
determine a temperature at a rim of the piston based on the heat flux and a thermal model of the piston
Data Source
AI summary
An imbedded control system is disclosed for use with an engine having a combustion chamber and an associated piston. The control system may have at least one sensor configured to generate a signal indicative of a combustion process occurring inside the combustion chamber, and a controller in communication with the at least one sensor. The controller may be configured to determine an amount of heat and a pressure generated inside the combustion chamber based on the signal and a combustion model, to determine a heat flux through the piston based on the amount of heat and a heat flux model, and to determine a temperature at a rim of the piston based on the heat flux and a thermal model. The controller may be further configured to track a time at the temperature and the pressure, and to determine a damage count of the piston based on the time.