Core Quality Estimation Using Mold Temperature and Humidity
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Solution Overview
Problem
Existing core forming devices fail to accurately account for the impact of environmental factors such as temperature and humidity on the quality of the core, leading to inconsistencies in the kneaded sand composition and potential defects in the formed core.
Innovation Solution
A core quality estimation system that utilizes mold temperature and environmental information, including humidity and atmospheric pressure, to estimate core quality through behavior analysis and machine learning, allowing for precise control of forming conditions to prevent defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mold temperature measurement is used to monitor core quality, then quality control capability is improved, but the impact of environmental factors on kneaded sand composition is not accounted for
Solution Approach 1:
The patent combines multiple monitoring parameters (mold temperature, environmental temperature, humidity, atmospheric pressure) into a unified quality estimation system. This merging of parameters allows the system to account for environmental factors affecting water evaporation and kneaded sand composition, thereby improving quality estimation accuracy while maintaining quality control capability.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring environmental parameters and mold temperature, then using this information to adjust and improve quality estimation. The system feeds back environmental information to correct quality assessments, ensuring reliable quality control even when environmental conditions cause variations in kneaded sand composition.
2Reliability
If environmental information acquisition is added to the system, then quality estimation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the monitoring system universal by using environmental sensors (temperature, humidity, pressure) that serve multiple purposes: they monitor general environmental conditions and simultaneously provide data for correcting quality estimations. This multi-functionality improves quality estimation accuracy without adding significant complexity, as the same sensors serve dual purposes.
Solution Approach 2:
The system uses readily available environmental information and standard sensors that automatically provide the needed data. The quality estimation system self-adjusts by incorporating environmental parameters without requiring complex additional measurement devices or manual intervention, thereby improving accuracy while minimizing added complexity.
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 precise estimation and control of core quality by considering environmental factors, reducing defects and improving the consistency of core formation.
Implementation Method 1
the water evaporates at the time of kneading, and thus the amount of water contained in the kneaded sand when it actually fills the mold is affected by, for example, the surrounding environment such as temperature and humidity
Data Source
AI summary
A core quality estimation system that estimates quality of a core to be formed by filling a mold with kneaded sand produced by kneading in a kneading tank and heating the kneaded sand includes a computer that executes operations of acquiring mold temperature information of the mold, acquiring environmental information regarding a surrounding environment in which the core is formed, and estimating the quality of the core based on the mold temperature information and the environmental information.