Multi-Gas Flow Sensor Using Bypass Bias and Reynolds Number

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing multi-gas flow sensors and controllers face challenges in accurately measuring and controlling flow rates across different gases due to non-linear bypass characteristics, leading to inconsistent calibration and potential errors in fluid flow regulation.

Innovation Solution

The development of a flow sensor and controller system that utilizes a bypass with multiple tubes, a sensor conduit, and a processor to generate a flow rate representation based on a characteristic function defined by dynamic pressure and Reynolds number, incorporating a bypass bias function to account for variations in fluid properties, allowing for accurate flow rate determination and control across various gases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a bypass with multiple tubes is used in the flow sensor, then measurement precision across different gases is improved, but device complexity increases

Engineering Contradiction:
Improveflow rate measurement accuracyVSAvoidbypass structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The bypass is divided into multiple parallel tubes instead of using a single bypass channel. This segmentation allows each tube to contribute to the overall flow measurement while reducing individual tube dimensions, improving measurement precision across different gases without requiring a completely complex bypass structure

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The multi-tube bypass structure serves multiple functions: it provides flow measurement capability, enables calibration across different gas types, and maintains a manageable device complexity through standardized tube configurations. The same bypass structure handles various gas compositions universally

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

2Adaptability or versatility

If a characteristic function based on dynamic pressure and Reynolds number is used, then adaptability to different gases is improved, but calculation complexity increases

Engineering Contradiction:
Improvemulti-gas compatibilityVSAvoidcalculation complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses dimensionless parameters (Reynolds number, dynamic pressure) that can be calculated from readily available flow conditions. By changing to these standardized parameters, the system achieves adaptability to different gases through universal relationships rather than gas-specific calibration curves, improving multi-gas compatibility while keeping calculations manageable

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The characteristic function acts as an intermediary that translates raw sensor measurements into accurate flow rate representations. It mediates between the physical measurements and the final flow calculation, incorporating gas property variations through dimensionless parameters without requiring complex direct calculations for each gas type

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If a bypass bias function is incorporated to account for fluid property variations, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveflow rate accuracyVSAvoidcontrol algorithm complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The bypass bias function incorporates feedback mechanisms that adjust measurements based on observed deviations from expected behavior. By continuously refining the measurement through bias corrections derived from actual flow conditions, the system improves accuracy without requiring complex external control systems

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The bypass bias function enables the sensor system to self-correct for fluid property variations. The system uses its own measurements and the characteristic function to automatically adjust for gas composition effects, improving precision without requiring external calibration equipment or complex control algorithms

Inventive Principle:
Principle #25Self-service

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

This solution enables precise and accurate flow rate measurement and control across multiple gases by using dimensionless parameters and bypass bias functions, reducing residual errors and improving calibration accuracy, thus enhancing the reliability of fluid flow regulation in multi-gas environments.

Implementation Method 1

the characteristic function at least partially defined by a dynamic pressure of fluid flowing through the bypass

Methodology Applied
Scientific EffectDynamic pressure:

Implementation Method 2

a bypass with a plurality of bypass tubes; a sensor conduit in fluid communication with the bypass

Methodology Applied
Scientific EffectFluid flow:

Implementation Method 3

a sensor assembly operatively coupled to the sensor conduit to generate a measured signal representative of a flow rate of a fluid through the sensor conduit

Methodology Applied
Scientific EffectFlow rate measurement:

Implementation Method 4

The characteristic function can be defined by a Reynolds number of the fluid flowing through the bypass

Methodology Applied
Scientific EffectReynolds number:

Data Source

PatentUS8068999B2Multi-gas flow device
Publication Date: 2011.11.29 BROOKS INSTRUMENT LLC
  • US8068999B2 patent drawing
  • US8068999B2 patent drawing
  • US8068999B2 patent drawing

AI summary

A system and method of characterizing or controlling a flow of a fluid is provided that involves a sensor conduit and a bypass. A plurality of fluids may be utilized in the flow control device based on characteristic information of the device generated during calibration thereof. The characteristic information, in turn is based on a dimensionless parameters, such as adjusted dynamic pressure and adjusted Reynolds number.