Die-Casting Die Temperature Mapping for Precise Local Thermal Control
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Solution Overview
Problem
Existing methods for temperature control in die-casting dies are inaccurate due to distorted temperature readings from external infrared devices and fail to meet the precise control requirements for complex die-casting parts, especially with deep cavities and complex geometries.
Innovation Solution
An intelligent temperature control method and system that uses an infrared camera mounted on a spraying manipulator to obtain front-side thermal images, matches them with CAD drawings to create CAD thermal maps, and classifies monitoring regions for precise temperature control through initial determination rules and strategies, adjusting cooling channel parameters based on temperature states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external infrared devices are used to measure die temperature, then temperature measurement is enabled, but measurement precision deteriorates due to distorted readings from far distance and large tilt angle
Solution Approach 1:
The patent introduces a spraying manipulator as an intermediary carrier to mount the infrared camera. This manipulator positions the camera close to the die cavity center, serving as a mediator that enables accurate temperature measurement without requiring complex external device arrangements. The manipulator transforms the measurement system from external/distant to integrated/close-proximity.
Solution Approach 2:
The spraying manipulator is designed to perform multiple functions: it not only sprays cooling media during die-casting but also carries the infrared camera for temperature measurement. This multi-functionality eliminates the need for separate dedicated measurement device arrangements, simplifying the overall system while improving measurement accuracy through close proximity to the die cavity.
2Manufacturing precision
If traditional software simulation is used to analyze temperature distribution, then analysis capability is provided, but manufacturing precision deteriorates due to inability to accurately reflect real temperature situation
Solution Approach 1:
The patent implements a feedback mechanism by using the infrared camera to capture real-time temperature fields during die-casting operations. This actual temperature data feeds back into the control system, enabling comparison with simulated temperature distributions and allowing for real-time adjustments to cooling parameters, thereby improving temperature control precision with actual field information.
Solution Approach 2:
The patent replaces pure software simulation with a hybrid approach that substitutes virtual temperature models with actual infrared thermal imaging measurements. This substitution of mechanical/physical measurement for computational modeling provides authentic temperature field data, eliminating the information loss inherent in simulation-only approaches.
3Measurement precision
If infrared camera is mounted on spraying manipulator, then measurement precision improves through close proximity to die cavity, but device complexity increases due to integration requirements
Solution Approach 1:
The patent merges the infrared camera system with the existing spraying manipulator into a single integrated unit. By combining the measurement function (infrared camera) with the cooling function (spraying manipulator), the system achieves close-proximity temperature measurement without adding separate complex mounting structures. The merging reduces overall system complexity while maintaining measurement precision.
Solution Approach 2:
The spraying manipulator is designed as a multi-functional device that simultaneously performs cooling media spraying and infrared temperature measurement. This universality allows one device to fulfill multiple roles, eliminating the need for separate dedicated measurement apparatus and reducing the complexity associated with integrating multiple independent systems.
4Manufacturing precision
If cooling channel parameters are adjusted based on temperature states, then temperature control precision improves for complex geometries, but device complexity increases due to parameter adjustment mechanisms
Solution Approach 1:
The patent segments the die-casting die into multiple temperature control regions, each with independently controllable cooling channels. This segmentation allows localized temperature adjustment for complex geometries with varying thermal requirements. The control system divides the die into zones based on geometric features and thermal demands, enabling precise local control without requiring complex global adjustments.
Solution Approach 2:
The cooling channel parameters (flow rate, temperature) are made dynamically adjustable based on real-time temperature measurements from the infrared camera. The system continuously monitors temperature fields and dynamically modifies cooling parameters to maintain optimal temperature distribution, transforming static cooling systems into adaptive dynamic control systems that respond to actual thermal conditions.
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 and precise control of local temperatures on the die surface, improving production efficiency and die service life while reducing maintenance costs.
Implementation Method 1
obtaining a front-side thermal image (thermography) of the die using an infrared camera
Data Source
AI summary
Provided are intelligent temperature control method and system for die-casting die. Method includes setting target number of groups of temperature control regions and configuring initial temperature determination rule and initial temperature control strategy for each temperature control region; obtaining front-side thermal image of die using infrared camera mounted on both sides of spraying manipulator, and matching the same with CAD drawing of the die to obtain CAD thermal map of die; determining monitoring region on surface of die, and classifying monitoring regions into target number of groups of temperature control regions based on expected temperature requirement of die; calculating temperature value and determining temperature state of each monitoring region based on initial temperature determination rule of each temperature control region and temperature value of each monitoring region, and adjusting temperature of each monitoring region based on initial temperature control strategy of each temperature control region.