Impact of fused deposition modeling (FDM) process parameters on strength of built parts using Taguchi’s design of experiments

By U. Zaman, Emilien Boesch, A. Siadat, M. Rivette, A. Baqai. The International Journal of Advanced Manufacturing Technology, 2018

155 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/2c67c53baa3aad33d73d8c21b99ab85e3b856480

How researchers see this paper

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In Automotive Engineering

1. M. Heidari-Rarani
2. N. Ezati
3. P. Sadeghi
4. Nita Yodo
5. Arup Dey
6. M. Badrossamay

In Industrial and Manufacturing Engineering

1. Nita Yodo
2. Arup Dey

In Mechanical Engineering

1. M. Heidari-Rarani
2. N. Ezati
3. P. Sadeghi
4. Nita Yodo
5. Arup Dey
6. M. Badrossamay

Citations in the corpus

• Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method (2020, background): “Thus, it is essential to select and optimize the process parameters to achieve the desired quality characteristics of the printed parts.(9) The main process parameters that affect the quality and final properties of a specimen printed by FDM technique can be divided into three general categories:”
• A Systematic Survey of FDM Process Parameter Optimization and Their Influence on Part Characteristics (2019, background): “[1] produced function parts for the aerospace industry to study how layer thickness, infill pattern, infill density, and number of shells were important for compressive properties.”