Fused Deposition Modeling: Strategies for Quality Enhancement
| AUTHOR | Mwema, Fredrick Madaraka; Akinlabi, Esther Titilayo; Akinlabi, Esther |
| PUBLISHER | Springer (05/30/2020) |
| PRODUCT TYPE | Paperback (Paperback) |
Chapter 1 Basics of fused deposition modeling (FDM)
1.1.Additive manufacturing
1.2.Science FDM and applications
1.3.Process parameters in FDM
1.4.Quality issues in FDM
1.5.Summary
Chapter 2 Print resolution and orientation strategy
1.1.Introduction1.2.Material and Methods
1.2.1. Design of experiments (DOEs)
1.2.2. Specimen preparations
1.3.Results and Discussions
1.4.Summary
Chapter 3 Multi-objective optimization strategies
3.1. Introduction to optimization techniques
3.2. Case studies in optimization of FDM
3.2.1. Taguchi optimization
3.2.2. Response surface methodology
3.2.3. Genetic Algorithm technique
3.2.4. Artificial Neural network (ANN)
3.2.5. Other optimization techniques
3.3. Summary
Chapter 4 Surface engineering strategy
4.1. Introduction
4.2. Sanding
4.3. Painting
4.4. Coating
4.4.1. Chemical vapor depositions
4.4.2. Physical vapor depositions
&n
Chapter 1 Basics of fused deposition modeling (FDM)
1.1.Additive manufacturing
1.2.Science FDM and applications
1.3.Process parameters in FDM
1.4.Quality issues in FDM
1.5.Summary
Chapter 2 Print resolution and orientation strategy
1.1.Introduction1.2.Material and Methods
1.2.1. Design of experiments (DOEs)
1.2.2. Specimen preparations
1.3.Results and Discussions
1.4.Summary
Chapter 3 Multi-objective optimization strategies
3.1. Introduction to optimization techniques
3.2. Case studies in optimization of FDM
3.2.1. Taguchi optimization
3.2.2. Response surface methodology
3.2.3. Genetic Algorithm technique
3.2.4. Artificial Neural network (ANN)
3.2.5. Other optimization techniques
3.3. Summary
Chapter 4 Surface engineering strategy
4.1. Introduction
4.2. Sanding
4.3. Painting
4.4. Coating
4.4.1. Chemical vapor depositions
4.4.2. Physical vapor depositions
&n