Smart and secured investment casting process for better sustainability

Area of Science:

• Materials Science and Engineering
• Manufacturing Technology
• Information Technology

Background:

• Investment casting, traditionally reliant on manual parameter monitoring, faces challenges in ensuring consistent quality across diverse industrial applications.
• The integration of advanced technologies like Industrial Internet of Things (IIoT) offers potential for enhanced process control and product quality.
• Existing manual methods in investment casting foundries lack the precision and efficiency needed for modern industrial demands.

Purpose of the Study:

• To investigate the integration of Industrial Internet of Things (IIoT) and Blockchain technologies in the investment casting process.
• To develop and test a framework for implementing these advanced technologies in real-world foundry environments.
• To address security and privacy concerns associated with digitalizing the investment casting sector.

Main Methods:

• Development of a framework integrating IIoT sensors for real-time data acquisition.
• Implementation of Blockchain technology for secure and transparent data management.
• Testing the proposed framework in simulated and real-world investment casting scenarios.

Main Results:

• The integrated IIoT and Blockchain system significantly enhanced process monitoring capabilities in investment casting.
• The framework demonstrated robust security and privacy features, safeguarding sensitive production data.
• Improved control over process parameters led to potential enhancements in casting quality and consistency.

Conclusions:

• The integration of IIoT and Blockchain transforms the traditional investment casting process into a SMART, secure, and data-driven system.
• This technological adoption is crucial for foundries seeking to improve efficiency, quality, and data integrity.
• The proposed framework provides a viable pathway for the digitalization of the investment casting industry.