Metal Product Heating Control via Phase-Enthalpy Temperature Modeling

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Solution Overview

Problem

Existing methods for heating cast or rolled metal products face inaccuracies in temperature distribution prediction due to unreliable measurements of total enthalpy, leading to suboptimal product quality and energy inefficiency.

Innovation Solution

A method and system for open-loop and closed-loop control of heating, which determines total enthalpy from free molar enthalpies of phases and uses a dynamic temperature calculation model to accurately predict temperature distribution within the metal product, allowing precise control of heating processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If total enthalpy is measured directly, then temperature distribution prediction accuracy is improved, but measurement complexity and cost increase

Engineering Contradiction:
Improvetemperature distribution prediction accuracyVSAvoidmeasurement system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an enthalpy calculation model as an intermediary that computes total enthalpy from measurable parameters (temperature, phase fractions, chemical composition) rather than measuring it directly. This mediator translates easily measurable quantities into the difficult-to-measure total enthalpy, resolving the contradiction between measurement accuracy and system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces direct physical measurement of total enthalpy (which would require complex calorimetric equipment) with a computational thermodynamic model. This substitution of mechanical/physical measurement systems with information processing and calculation systems achieves the same measurement goal with significantly reduced complexity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If heating temperature is increased to ensure dissolution of precipitates, then microstructure quality is improved, but energy consumption increases

Engineering Contradiction:
Improvemicrostructure qualityVSAvoidenergy consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic heating control where the heating temperature and duration are continuously adjusted based on real-time feedback from the enthalpy calculation model. Instead of applying a fixed high temperature, the system dynamically optimizes heating parameters to achieve the minimum necessary temperature for precipitate dissolution, thereby improving microstructure quality while minimizing energy consumption.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent establishes a closed-loop feedback control system where the enthalpy calculation model continuously monitors the metal product's thermal state and adjusts heating control signals accordingly. This feedback mechanism ensures that heating is applied only when and where needed to achieve precipitate dissolution, avoiding unnecessary energy input while maintaining microstructure quality.

Inventive Principle:
Principle #23Feedback

3Stability of the object's composition

If heating time is extended to achieve uniform temperature distribution, then temperature uniformity is improved, but production efficiency decreases

Engineering Contradiction:
Improvetemperature uniformityVSAvoidproduction efficiency
Core Design Contradiction:
Stability of the object's compositionVSProductivity

Solution Approach 1:

The patent applies local quality control by spatially differentiating the heating process. The enthalpy calculation model identifies specific regions within the metal product that require heating to achieve uniform temperature distribution, allowing targeted heating of only those areas rather than heating the entire product uniformly. This localized approach achieves temperature uniformity while minimizing total heating time and maintaining production efficiency.

Inventive Principle:
Principle #3Local quality

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 approach improves temperature prediction and control, leading to energy savings and enhanced microstructure transformations, ensuring optimal product quality by accurately determining the necessary heating conditions.

Implementation Method 1

The metal product is typically heated using a furnace

Methodology Applied
Scientific EffectThermal conduction: Conduction (thermal)

Implementation Method 2

The metal product is typically heated using a furnace, which the cast metal products pass through

Methodology Applied
Scientific EffectThermal convection: Convection

Implementation Method 3

The temperature distribution within the metal product is determined based on Fourier's heat equation

Methodology Applied
Scientific EffectHeat diffusion: Conduction (thermal)

Implementation Method 4

Q the energy liberated from the system formed by the metal product during a phase conversion

Methodology Applied
Scientific EffectPhase change: Phase Change

Implementation Method 5

Q is the energy liberated during the phase conversion, ρ is the density, L latent melt heat

Methodology Applied
Scientific EffectLatent heat: Latent Heat

Data Source

PatentUS11292040B2Method and system for the open-loop and/or closed-loop control of a heating of a cast or rolled metal product
Publication Date: 2022.04.05 SMS GROUP GMBH
  • US11292040B2 patent drawing
  • US11292040B2 patent drawing
  • US11292040B2 patent drawing

AI summary

The invention relates to a method for the open-loop and/or closed-loop control of a heating of a cast or rolled metal product, comprising the following steps: —determining the total enthalpy of the metal product from a total of the free molar enthalpies (Gibbs free energy) of all phases and/or phase fractions currently present in the metal product; —determining a temperature distribution within the metal product by means of a dynamic temperature calculation model by using the determined total enthalpy; and —open-loop and/or closed-loop controlling of the heating of the metal product according to at least one initial variable of the temperature calculation model.