Chaoyi Gao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Chaoyi Gao has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Aimin Yang
College of Science, North China University of Science and Technology, Tangshan 063210, China
1 shared publication - Hanchen Wang
Yisheng college, North China University of Science and Technology, Tangshan 063210, China
1 shared publication - Shilong Feng
College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China
1 shared publication - Tao Xue
College of Science, North China University of Science and Technology, Tangshan, China
1 shared publication - Xinying Ren
College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China
1 shared publication
Latest Publications
- Open Access
Automatic Ore Blending Optimization Algorithm for Sintering Based on the Cartesian Product
In actual sinter production, batching is a complex metallurgical and mathematical problem. Aiming at the problem of the precising batching of iron ore in the process of sintering batching, an automatic batching algorithm based on a Cartesian product to batch sinter was proposed for the first time. When the algorithm is applied to the sintering batching process, a complete batching scheme can be obtained, which can realize the organic combination with other calculation processes, can effectively save the manpower and material cost of sintering batching, and is of great significance to the comprehensive use of iron ore resources. Taking the actual sintering production batching of a domestic iron and steel plant as an example, according to the batching requirements compared with various ore batching schemes, combined with the actual production situation, the automatic batching optimization algorithm based on a Cartesian product is applied to build a mathematical model of sintering batching. Through the algorithm test, the practicability of the automatic batching algorithm is verified. In addition, the automatic batching algorithm based on a Cartesian product has good performance in other batching fields.
Open AccessAutomatic Ore Blending Optimization Algorithm for Sintering Based on the Cartesian Product
In actual sinter production, batching is a complex metallurgical and mathematical problem. Aiming at the problem of the precising batching of iron ore in the process of sintering batching, an automatic batching algorithm based on a Cartesian product to batch sinter was proposed for the first time. When the algorithm is applied to the sintering batching process, a complete batching scheme can be obtained, which can realize the organic combination with other calculation processes, can effectively save the manpower and material cost of sintering batching, and is of great significance to the comprehensive use of iron ore resources. Taking the actual sintering production batching of a domestic iron and steel plant as an example, according to the batching requirements compared with various ore batching schemes, combined with the actual production situation, the automatic batching optimization algorithm based on a Cartesian product is applied to build a mathematical model of sintering batching. Through the algorithm test, the practicability of the automatic batching algorithm is verified. In addition, the automatic batching algorithm based on a Cartesian product has good performance in other batching fields.