Innovative Inspection Device for Investment Casting Foundries

被引:0
|
作者
Nabhan Yousef
Amit Sata
机构
[1] Marwadi University,Department of Mechanical Engineering
[2] Marwadi University,undefined
来源
International Journal of Metalcasting | 2023年 / 17卷
关键词
investment casting; defects; inspection device; image processing; artificial intelligence;
D O I
暂无
中图分类号
学科分类号
摘要
It is evident that inspection is a critical step in investment casting and that there is a growing demand for skilled manpower and domain experts in this field. The use of advanced technologies such as artificial intelligence, machine learning, and image processing can help to address these challenges and improve the inspection process. The proposed inspection device, which incorporates image processing and artificial intelligence, has the potential to provide more accurate and efficient inspection results. By streaming the results to a cloud-based server, the device can help to maintain accurate records and facilitate necessary actions. The use of different domains of engineering, including manufacturing, computer, and instrumentation engineering, further demonstrates the potential for cross-disciplinary collaboration in addressing complex challenges. The testing of the device in an industrial environment is a positive indication of its effectiveness and usability. By reducing the level of skill sets and domain expertise required for inspection, the device could also help to address the growing demand for skilled manpower in this field. Overall, the use of advanced technologies such as artificial intelligence and image processing has the potential to transform the inspection process in investment casting and other manufacturing processes. The proposed inspection device is a promising development in this direction and could contribute to improving the efficiency and accuracy of inspection processes in the future.
引用
收藏
页码:2663 / 2673
页数:10
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