Experimental Investigation On Mechanical Properties Of TPU Processed By Fused Deposition ModelingID: 2796 Abstract :Additive Manufacturing, Specifically Fused Deposition Modeling (FDM), Offers Significant Advantages For Producing Flexible Polymer Components With Complex Geometries. Thermoplastic Polyurethane (TPU) Is An Elastomeric Material Well-suited To FDM, But Its Mechanical Behavior Is Strongly Sensitive To Process Parameter Settings. This Study Presents A Systematic Experimental Investigation Into The Effects Of Layer Thickness, Feed Rate, And Infill Density On The Tensile Properties Of FDM-fabricated TPU Specimens. A 3³ Full Factorial Design (27 Experiments) Was Employed, Covering Layer Thickness Levels Of 0.10, 0.15, And 0.20 Mm; Feed Rates Of 20, 30, And 40 Mm/s; And Infill Densities Of 60%, 70%, And 80%. Dog-bone Specimens Conforming To ASTM D638 Type I Geometry Were Printed On A Creality Ender-3 FDM Printer And Tested On A Universal Testing Machine (UTM). Tensile Strength Across All 27 Specimens Ranged From 2.816 To 4.447 N/mm², With A Mean Of 3.357 N/mm², And Percentage Elongation Ranged From 33.20% To 40.15%, Confirming Highly Ductile Behavior. Effect Range Analysis Revealed That Infill Density Is The Most Influential Parameter (effect Range: 0.343 N/mm²), Followed By Feed Rate (0.292 N/mm²) And Layer Thickness (0.101 N/mm²). The Optimal Parameter Combination — Layer Thickness 0.10 Mm, Feed Rate 20 Mm/s, And Infill Density 80% — Is Identified. These Findings Provide Experimentally Validated Guidance For FDM Process Parameter Selection In The Manufacture Of Structural And Functional TPU Components |
Published:22-4-1-2026 Issue:Vol. 26 No. 4-1 (2026) Page Nos:732-742 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to CitePabbineedi Sai Ganesh, Maddala Harsha Vardhan, Usa Hemanth, Ravada Karthik, Seelam Veera Venkata Vighna Rama Sai, Experimental Investigation on Mechanical Properties of TPU Processed by Fused Deposition Modeling , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(4-1), Page 732-742, ISSN No: 2250-3676. |