Correlation between ultimate tensile strength and thermal conductivity of 316L metal parts obtained through fused filament fabrication
Source abstract
Abstract
Abstract This study investigates the mechanical properties and thermal conductivity of metal parts produced using metal fused filament fabrication (Metal FFF), focusing on three distinct printing profiles (Fast, Strong, and Quality) provided by the material manufacturer. The correlation between thermal conductivity and mechanical strength is explored, aiming to optimize part performance by understanding the impact of printing parameters. Results demonstrate that the “Quality” profile delivers superior mechanical strength and thermal conductivity due to enhanced inter-layer bonding and reduced porosity, as confirmed by SEM analysis. Conversely, the “Fast” profile offers the lowest performance but maximizes productivity and cost-efficiency. The “Strong” profile represents a balanced compromise among mechanical performance, thermal properties, and manufacturing cost. This work highlights the potential of using thermal conductivity tests as a faster and more resource-efficient proxy for mechanical testing in initial assessments. Such tests are particularly valuable in applications where thermal conductivity is a critical requirement (e.g., battery thermal management systems, heat exchangers, cooling systems in electronic, etc.). Future research should focus on developing predictive models to further streamline the characterization and optimization of Metal FFF processes for industrial applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (55)
Show source-provided references
1. ISO/ASTM 52900:2021 ISO/ASTM 52900:2021 (2025) Additive manufacturing – general principles – terminology available online. https://www.iso.org/obp/ui/#iso:std:iso-astm:52900:ed-2:v1:en. Accessed on 16 Mar 2025
2. Liu B, Wang Y, Lin Z et al (2020) Creating metal parts by fused deposition modeling and sintering. Mater Lett 263:127252. https://doi.org/10.1016/j.matlet.2019.12725210.1016/j.matlet.2019.127252 ↗
3. Tosto C, Tirillò J, Sarasini F et al (2021) Hybrid metal/polymer filaments for fused filament fabrication (FFF) to print metal parts. Appl Sci 11(4):1444. https://doi.org/10.3390/APP1104144410.3390/APP11041444 ↗
4. Thompson Y, Gonzalez-Gutierrez J, Kukla C et al (2019) Fused filament fabrication, debinding and sintering as a low cost additive manufacturing method of 316L stainless steel. Addit Manuf 30:100861. https://doi.org/10.1016/J.ADDMA.2019.10086110.1016/J.ADDMA.2019.100861 ↗
5. Mohamed OA, Masood SH, Bhowmik JL (2016) Experimental investigations of process parameters influence on rheological behavior and dynamic mechanical properties of FDM manufactured parts. Mater Manuf Process 31:1983–1994. https://doi.org/10.1080/10426914.2015.112795510.1080/10426914.2015.1127955 ↗
6. Durgun I, Ertan R (2014) Experimental investigation of FDM process for improvement of mechanical properties and production cost. Rapid Prototyp J 20:228–235. https://doi.org/10.1108/RPJ-10-2012-009110.1108/RPJ-10-2012-0091 ↗
7. Lyu J, Manoochehri S (2019) Multi-objective optimization based on machine reliability and process-dependent product quality for FDM system. Int J Adv Manuf Technol 102:2511–2520. https://doi.org/10.1007/s00170-019-03357-210.1007/s00170-019-03357-2 ↗
8. Popescu D, Zapciu A, Amza C et al (2018) FDM process parameters influence over the mechanical properties of polymer specimens: a review. Polym Test 69:157–166. https://doi.org/10.1016/j.polymertesting.2018.05.02010.1016/j.polymertesting.2018.05.020 ↗
9. Ravoori D, Alba L, Prajapati H et al (2018) Investigation of process-structure-property relationships in polymer extrusion based additive manufacturing through in situ high speed imaging and thermal conductivity measurements. Addit Manuf 23:132–139. https://doi.org/10.1016/j.addma.2018.07.01110.1016/j.addma.2018.07.011 ↗
10. Grasso M, Azzouz L, Ruiz-Hincapie P et al (2018) Effect of temperature on the mechanical properties of 3D-printed PLA tensile specimens. Rapid Prototyp J 24:1337–1346. https://doi.org/10.1108/RPJ-04-2017-005510.1108/RPJ-04-2017-0055 ↗
11. Dave HK, Patadiya NH, Prajapati AR et al (2021) Effect of infill pattern and infill density at varying part orientation on tensile properties of fused deposition modeling-printed poly-lactic acid part. Proc Inst Mech Eng C J Mech Eng Sci 235:1811–1827. https://doi.org/10.1177/095440621985638310.1177/0954406219856383 ↗
12. Tosto C, Saitta L, Pergolizzi E et al (2020) Methods for the characterization of polyetherimide based materials processed by fused deposition modelling. Appl Sci 10(9):3195. https://doi.org/10.3390/APP1009319510.3390/APP10093195 ↗
13. Körner C (2016) Additive manufacturing of metallic components by selective electron beam melting — a review. Int Mater Rev 61:361–377. https://doi.org/10.1080/09506608.2016.117628910.1080/09506608.2016.1176289 ↗
14. de Pasquale G, Luceri F, Riccio M (2019) Experimental characterization of SLM and EBM cubic lattice structures for lightweight applications. Exp Mech 59:469–482. https://doi.org/10.1007/s11340-019-00481-810.1007/s11340-019-00481-8 ↗
15. Chastand V, Quaegebeur P, Maia W et al (2018) Comparative study of fatigue properties of Ti-6Al-4V specimens built by electron beam melting (EBM) and selective laser melting (SLM). Mater Charact 143:76–81. https://doi.org/10.1016/j.matchar.2018.03.02810.1016/j.matchar.2018.03.028 ↗
16. Liu M, Chiu LNS, Shen H et al (2022) Effective thermal conductivities of metal powders for additive manufacturing. Powder Technol 401:117323. https://doi.org/10.1016/j.powtec.2022.11732310.1016/j.powtec.2022.117323 ↗
17. Wei LC, Ehrlich LE, Powell-Palm MJ et al (2018) Thermal conductivity of metal powders for powder bed additive manufacturing. Addit Manuf 21:201–208. https://doi.org/10.1016/j.addma.2018.02.00210.1016/j.addma.2018.02.002 ↗
18. Yegyan Kumar A, Wang J, Bai Y et al (2019) Impacts of process-induced porosity on material properties of copper made by binder jetting additive manufacturing. Mater Des 182:108001. https://doi.org/10.1016/j.matdes.2019.10800110.1016/j.matdes.2019.108001 ↗
19. Takezawa A, Kobashi M, Koizumi Y et al (2017) Porous metal produced by selective laser melting with effective isotropic thermal conductivity close to the Hashin-Shtrikman bound. Int J Heat Mass Transf 105:564–572. https://doi.org/10.1016/j.ijheatmasstransfer.2016.10.00610.1016/j.ijheatmasstransfer.2016.10.006 ↗
20. Blanco I, Cicala G, Recca G et al (2022) Specific heat capacity and thermal conductivity measurements of PLA-based 3D-printed parts with milled carbon fiber reinforcement. Entropy 24:654. https://doi.org/10.3390/e2405065410.3390/e24050654 ↗
21. Lendvai L, Fekete I, Rigotti D et al (2024) Experimental study on the effect of filament-extrusion rate on the structural, mechanical and thermal properties of material extrusion 3D-printed polylactic acid (PLA) products. Progress Add Manuf 10:619–629. https://doi.org/10.1007/s40964-024-00646-510.1007/s40964-024-00646-5 ↗
22. Kantaros A, Soulis E, Petrescu FIT et al (2023) Advanced composite materials utilized in FDM/FFF 3D printing manufacturing processes: the case of filled filaments. Materials 16:6210. https://doi.org/10.3390/ma1618621010.3390/ma16186210 ↗
23. Roudný P, Syrový T (2022) Thermal conductive composites for FDM 3D printing: a review, opportunities and obstacles, future directions. J Manuf Process 83:667–677. https://doi.org/10.1016/j.jmapro.2022.09.02610.1016/j.jmapro.2022.09.026 ↗
24. Goh GD, Dikshit V, An J et al (2022) Process-structure-property of additively manufactured continuous carbon fiber reinforced thermoplastic: an investigation of Mode I interlaminar fracture toughness. Mech Adv Mater Struct 29:1418–1430. https://doi.org/10.1080/15376494.2020.182126610.1080/15376494.2020.1821266 ↗
25. Pascual-González C, San Martín P, Lizarralde I et al (2021) Post-processing effects on microstructure, interlaminar and thermal properties of 3D printed continuous carbon fibre composites. Compos B Eng 210:108652. https://doi.org/10.1016/j.compositesb.2021.10865210.1016/j.compositesb.2021.108652 ↗
26. Tosto C, Tirillò J, Sarasini F et al (2022) Fused deposition modeling parameter optimization for cost-effective metal part printing. Polymers (Basel) 14:3264. https://doi.org/10.3390/polym1416326410.3390/polym14163264 ↗
27. Tosto C, Miani F, Cicala G (2023) The impact of fused filament fabrication (FFF) printing profiles on 17–4 PH green and sintered parts. Macromol Symp 411:2200133. https://doi.org/10.1002/masy.20220013310.1002/masy.202200133 ↗
28. Forward AM/BASF debinding and sintering BASF (2025) available. https://forward-am.com/wp-content/uploads/2021/01/Process-Guidelines-Ultrafuse-316L.pdf. Accessed on 16 March 2025
29. Mirone G, Barbagallo R, Bua G et al (2023) A simple procedure for the post-necking stress-strain curves of anisotropic sheet metals. Metals (Basel) 13:1156. https://doi.org/10.3390/met1307115610.3390/met13071156 ↗
30. Mirone G, Barbagallo R, Bua G et al (2024) An enhanced approach for high-strain plasticity in flat anisotropic specimens with progressively distorting neck sections. Metals (Basel) 14:578. https://doi.org/10.3390/met1405057810.3390/met14050578 ↗
31. Cennamo N, Saitta L, Tosto C et al (2021) Microstructured surface plasmon resonance sensor based on inkjet 3D printing using photocurable resins with tailored refractive index. Polymers (Basel) 13:2518. https://doi.org/10.3390/polym1315251810.3390/polym13152518 ↗
32. Saitta L, Arcadio F, Celano G et al (2023) Design and manufacturing of a surface plasmon resonance sensor based on inkjet 3D printing for simultaneous measurements of refractive index and temperature. Int J Adv Manuf Technol 124:2261–2278. https://doi.org/10.1007/s00170-022-10614-410.1007/s00170-022-10614-4 ↗
33. Tosto C, Saitta L, Barbagallo R et al (2024) Optimizing dimensional accuracy in metal fused filament fabrication: a study on shrinkage prediction for 316L parts. In: Proceedings of the 2024 IEEE international conference and exposition on electric and power engineering (EPEi), Iasi, Romania, pp 648–651, 17–19 October 2024. https://doi.org/10.1109/epei63510.2024.1075815410.1109/epei63510.2024.10758154 ↗
34. Suwanpreecha C, Manonukul A (2022) A review on material extrusion additive manufacturing of metal and how it compares with metal injection moulding. Metals (Basel) 12:429. https://doi.org/10.3390/met1203042910.3390/met12030429 ↗
35. Sumanariu CA, Amza CG, Baciu F et al (2024) Comparative analysis of mechanical properties: conventional vs. additive manufacturing for stainless steel 316L. Materials 17:4808. https://doi.org/10.3390/ma1719480810.3390/ma17194808 ↗
36. Tolosa I, Garciandía F, Zubiri F et al (2010) Study of mechanical properties of AISI 316 stainless steel processed by “selective laser melting”, following different manufacturing strategies. Int J Adv Manuf Technol 51:639–647. https://doi.org/10.1007/s00170-010-2631-510.1007/s00170-010-2631-5 ↗
37. Zhang Y, Chou K (2008) A parametric study of part distortions in fused deposition modelling using three-dimensional finite element analysis. Proc Inst Mech Eng B J Eng Manuf 222:959–968. https://doi.org/10.1243/09544054JEM99010.1243/09544054JEM990 ↗
38. Zhong Y, Rännar LE, Liu L et al (2017) Additive manufacturing of 316L stainless steel by electron beam melting for nuclear fusion applications. J Nucl Mater 486:234–245. https://doi.org/10.1016/j.jnucmat.2016.12.04210.1016/j.jnucmat.2016.12.042 ↗
39. Kumar P, Jayaraj R, Suryawanshi J et al (2020) Fatigue strength of additively manufactured 316L austenitic stainless steel. Acta Mater 199:225–239. https://doi.org/10.1016/j.actamat.2020.08.03310.1016/j.actamat.2020.08.033 ↗
40. Röttger A, Boes J, Theisen W et al (2020) Microstructure and mechanical properties of 316L austenitic stainless steel processed by different SLM devices. Int J Adv Manuf Technol 108:769–783. https://doi.org/10.1007/s00170-020-05371-110.1007/s00170-020-05371-1 ↗
41. Eshkabilov S, Ara I, Sevostianov I et al (2021) Mechanical and thermal properties of stainless steel parts, manufactured by various technologies, in relation to their microstructure. Int J Eng Sci 159:103398. https://doi.org/10.1016/j.ijengsci.2020.10339810.1016/j.ijengsci.2020.103398 ↗
42. TDS BASF Ultrafuse 316L (2024) https://move.forward-am.com/hubfs/AES%20Documentation/Metal%20Filaments/316L/TDS/Ultrafuse_316L_TDS_EN_v1.1.pdf. Accessed on 7 October 2024
43. Wen LJ, Hu XG, Li Z et al (2022) Anisotropy in tensile properties and fracture behaviour of 316L stainless steel parts manufactured by fused deposition modelling and sintering. Adv Manuf 10:345–355. https://doi.org/10.1007/s40436-022-00402-410.1007/s40436-022-00402-4 ↗
44. Kurose T, Abe Y, Santos MVA et al (2020) Influence of the layer directions on the properties of 316L stainless steel parts fabricated through fused deposition of metals. Materials 13:2493. https://doi.org/10.3390/ma1311249310.3390/ma13112493 ↗
45. Carminati M, Quarto M, D’Urso G et al (2022) Mechanical characterization of AISI 316L samples printed using material extrusion. Appl Sci 12:1433. https://doi.org/10.3390/app1203143310.3390/app12031433 ↗
46. Kowalski L, Duszczyk J, Katgerman L (1999) Thermal conductivity of metal powder-polymer feedstock for powder injection moulding. J Mater Sci 34:1–5. https://doi.org/10.1023/A:100442440142710.1023/A:1004424401427 ↗
47. Simmons JC, Chen X, Azizi A et al (2020) Influence of processing and microstructure on the local and bulk thermal conductivity of selective laser melted 316L stainless steel. Addit Manuf 32:100996. https://doi.org/10.1016/j.addma.2019.10099610.1016/j.addma.2019.100996 ↗
48. Halmešová K, Trojanová Z, Koukolíková M et al (2022) Effect of laser power on thermal properties of multimaterial structure inconel 718 and stainless steel 316L processed by directed energy deposition. J Alloys Compd 927:167082. https://doi.org/10.1016/j.jallcom.2022.16708210.1016/j.jallcom.2022.167082 ↗
49. ANSYS, Inc. (2024) Ansys granta selector. https://www.ansys.com/products/materials/granta-selector. Accessed on 16 March 2025
50. Piatti G, Schiller P (1986) Thermal and mechanical properties of the Cr-Mn-(Ni-free) austenitic steels for fusion reactor applications. J Nucl Mater 141(143):417–426. https://doi.org/10.1016/S0022-3115(86)80076-910.1016/S0022-3115(86)80076-9 ↗
51. Dalle F, Blat-Yrieix M, Dubiez-Le Goff S et al (2017) Conventional austenitic steels as out-of-core materials for generation IV nuclear reactors. Struct Mater Generation IV Nuclear Reactors. https://doi.org/10.1016/b978-0-08-100906-2.00017-310.1016/b978-0-08-100906-2.00017-3 ↗
52. Eichler F, Balc N, Bremen S et al (2024) Investigation of laser powder bed fusion parameters with respect to their influence on the thermal conductivity of 316L samples. J Manuf Mater Process 8:166. https://doi.org/10.3390/jmmp804016610.3390/jmmp8040166 ↗
53. Stacy SC, Zhang X, Pantoya M et al (2014) The effects of density on thermal conductivity and absorption coefficient for consolidated aluminum nanoparticles. Int J Heat Mass Transf 73:595–599. https://doi.org/10.1016/j.ijheatmasstransfer.2014.02.05010.1016/j.ijheatmasstransfer.2014.02.050 ↗
54. Park SY, Yee NY, Baek M et al (2025) Microstructure heterogeneity, mechanical properties and thermal conductivity of pure copper fabricated by metal material extrusion additive manufacturing process. Mater Sci Eng A 927:147939. https://doi.org/10.1016/j.msea.2025.14793910.1016/j.msea.2025.147939 ↗
55. Carson JK, Lovatt SJ, Tanner DJ et al (2005) Thermal conductivity bounds for isotropic, porous materials. Int J Heat Mass Transf 48:2150–2158. https://doi.org/10.1016/j.ijheatmasstransfer.2004.12.03210.1016/j.ijheatmasstransfer.2004.12.032 ↗