Design for Additive Manufacturing — Lesson 2

This lesson covers the principles and techniques of Design for Additive Manufacturing (DfAM). It delves into the importance of part decomposition in building a part, the different types of decomposition methods, and the cost comparison between different manufacturing methods. The lesson also discusses the scope of improvement and future research in DfAM. For instance, it explores the challenges in designing complex structures for additive manufacturing and the potential solutions. An example used in the lesson is the use of DfAM in the automobile industry, where it has led to significant weight reduction and increased efficiency in production.

Video Highlights

01:00 - Discussion on the current stage of metal additive manufacturing and its applications in various industries like automobile, aerospace, and naval
06:08 - Explanation of the use of metal additive manufacturing in the aerospace industry for producing aircraft parts
15:02 - Discussion on the use of additive manufacturing in medical applications like hearing aids, dentures, prosthetic legs, and arms
21:27 - Discussion on the different types of printability in additive manufacturing: one for one pack and all for one pack
32:15 - Explanation of the different decomposition methods in additive manufacturing: human involvement, decomposition technique, and boundary shapes
42:27 - Discussion on the cost comparison of additive manufacturing with other manufacturing processes

Key Takeaways

- Design for Additive Manufacturing (DfAM) is crucial in industries like automobile, aerospace, and naval.
- Part decomposition plays a significant role in building a part in DfAM.
- Different decomposition methods include human involvement, decomposition technique, and boundary shapes.
- Cost comparison between different manufacturing methods shows that additive manufacturing is cost-effective for small batch sizes.
- There is a significant scope for improvement and future research in DfAM, especially in designing complex structures and integrating process parameters.