Ministry of Economic Affairs of the Republic of China (Taiwan)
Ministry of Economic Affairs of the Republic of China (Taiwan)
05/14/2026 | Press release | Distributed by Public on 05/15/2026 01:19
MIRDC Bronze Winner of 2026 Edison Awards Next-Gen SHT
MIRDC has received a prestigious Bronze Award at 2026 Edison Awards for its groundbreaking innovation, Next-Gen SHT, an advanced intelligent heat-treatment system designed for cast material.
As global demand grows for high-performance and net-zero manufacturing, traditional austempering processes still rely heavily on fixed parameters and manual experience, often resulting in repeated trial-and-error, lengthy development cycles, and inconsistent product quality. To address these challenges, MIRDC has developed the first Next-Gen SHT, integrating AI vision, adaptive learning, and intelligent alloy design. The system enables real-time adjustment of heat-treatment parameters based on material variation and performance needs.
The system utilizes high-precision AI vision technology to rapidly analyze the nodularity and microstructure of ductile iron with 95% accuracy, improving inspection efficiency by three times. The analyzed data further enables the AI module to continuously self-learn and automatically optimize alloy design and process parameters, maintaining heat-treatment error margin with plus-minus5%.
Furthermore, the system integrates three core modules: a high-temperature furnace, a low-temperature salt bath, and a filtration unit. These modules maintain stable furnace temperatures, preserve microstructure integrity, and achieve 80% recovery rate for treatment media.
Products processed by Next-Gen SHT demonstrate significantly enhanced performance, with tensile strength increased to 1,300 MPa and elongation reaching 13%. At the same time, the technology shortens development time by 40%, reduces process energy consumption by 71%, and lowers production costs by 66%.
This technology has already been applied to key components for green energy systems and agricultural machinery equipment. In the future, it will be further expanded into high-end applications in the fields of energy, smart electromechanical systems, and transportation vehicles.
As global demand grows for high-performance and net-zero manufacturing, traditional austempering processes still rely heavily on fixed parameters and manual experience, often resulting in repeated trial-and-error, lengthy development cycles, and inconsistent product quality. To address these challenges, MIRDC has developed the first Next-Gen SHT, integrating AI vision, adaptive learning, and intelligent alloy design. The system enables real-time adjustment of heat-treatment parameters based on material variation and performance needs.
The system utilizes high-precision AI vision technology to rapidly analyze the nodularity and microstructure of ductile iron with 95% accuracy, improving inspection efficiency by three times. The analyzed data further enables the AI module to continuously self-learn and automatically optimize alloy design and process parameters, maintaining heat-treatment error margin with plus-minus5%.
Furthermore, the system integrates three core modules: a high-temperature furnace, a low-temperature salt bath, and a filtration unit. These modules maintain stable furnace temperatures, preserve microstructure integrity, and achieve 80% recovery rate for treatment media.
Products processed by Next-Gen SHT demonstrate significantly enhanced performance, with tensile strength increased to 1,300 MPa and elongation reaching 13%. At the same time, the technology shortens development time by 40%, reduces process energy consumption by 71%, and lowers production costs by 66%.
This technology has already been applied to key components for green energy systems and agricultural machinery equipment. In the future, it will be further expanded into high-end applications in the fields of energy, smart electromechanical systems, and transportation vehicles.
Ministry of Economic Affairs of the Republic of China (Taiwan) published this content on May 14, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on May 15, 2026 at 07:19 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]