Understanding Metal Additive Manufacturing Processes — Lesson 1

This lesson covers the comprehensive understanding of metal additive manufacturing processes. It delves into the integration of industry 4.0 and IoT in these processes, and the role of on-machine sensing in monitoring and controlling the manufacturing process. The lesson also explains the use of various sensing devices, the principles of online sensing, and the factors affecting on-machine sensing. It further discusses the importance of data gathering and measurements in additive manufacturing (AM) processes. For instance, the lesson explains how the temperature of a metal additive manufacturing process can be determined by measuring the spectral radiance, which can indirectly help in determining the residual stresses.

Video Highlights

00:47 - Explanation of how machines are now connected through Wi-Fi and tracked for health and process by the supplier
04:51 - Explanation of the concept of on-machine sensing and the process of acquiring raw data
11:50 - Explanation of the principles for online machine sensing and the use of the visual range for measurements
25:31 - Discussion on the factors affecting on-machine sensing and the importance of calibration
27:29 - Explanation of the dynamic changes during the process and the importance of dynamic range for sensors

Key Takeaways

- Metal additive manufacturing processes are integrating industry 4.0 and IoT for better monitoring and control.
- On-machine sensing plays a crucial role in these processes, helping to track the health of the machine and the ongoing process.
- Various sensing devices are used in metal additive manufacturing, each with its principles for online sensing.
- Factors such as in-band radiance and dynamic range affect on-machine sensing.
- Data gathering and measurements in AM processes are crucial for quality control and process optimization.
- The temperature of a metal additive manufacturing process can be determined by measuring the spectral radiance.