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Investigations on mass flow rate of rotary vane feeder for direct metal laser deposition

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Abstract

Directed energy deposition (DED) is an additive manufacturing (AM) technology that builds components using laser melting and solidification. To manufacture components with a consistent microstructure, powder feeding mechanism in the DED process must be precisely managed. Powder flow is one of the crucial determinants contributing to the quality of DED component produced. Considering this, research in powder feeders becomes critical. The rate of mass flow of powder elements in a rotary vane feeder is explored in this work utilizing mathematical, computational, and experimental methods. In mathematical model, the rate of mass flow was computed using volume and particle-based approaches. The discrete-element method (DEM) was used to simulate particle flow in rotary vane feeder. The effect of rotor speed on mass flow rate (MFR) is evaluated experimentally for aluminum, iron, and lead in order to explore the effect of particle density in powder flow characteristics. The experiment is also replicated with three variants of lead particle sizes to infer more on the impact of particle diameter on rate of mass flow. The accuracy of the mathematical model is assessed by comparing the experimental results to the mathematical and simulation results. In volume-based approach, the results showed that the simulated outcomes were 77% accurate to the experimental results. In particle-based approach, the results showed that the simulated outcomes were 93% accurate to the experimental results. The simulated result of mass flow rate is approximately 92% accurate in comparison to experiments. Further, in determining mass flow rate, the particle-based approach is more accurate than the volume-based approach. The findings of this research contribute to the development of a precise powder feeder in metal additive laser manufacturing (MALM), which finds use in modern manufacturing.

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References

  1. Shi Y, Yan C, Zhou Y et al (2021) Overview of additive manufacturing technology and materials. Materials for additive manufacturing. Elsevier, Amsterdam, pp 1–8

    Google Scholar 

  2. Haley JC, Zheng B, Bertoli US et al (2019) Working distance passive stability in laser directed energy deposition additive manufacturing. Mater Des 161:86–94. https://doi.org/10.1016/j.matdes.2018.11.021

    Article  Google Scholar 

  3. Altıparmak SC, Yardley VA, Shi Z, Lin J (2021) Challenges in additive manufacturing of high-strength aluminium alloys and current developments in hybrid additive manufacturing. Int J Lightweight Mater Manuf 4:246–261. https://doi.org/10.1016/j.ijlmm.2020.12.004

    Article  Google Scholar 

  4. DebRoy T, Mukherjee T, Milewski JO et al (2019) Scientific, technological and economic issues in metal printing and their solutions. Nat Mater 18:1026–1032. https://doi.org/10.1038/s41563-019-0408-2

    Article  Google Scholar 

  5. Wu J, Zhao P, Wei H et al (2018) Development of powder distribution model of discontinuous coaxial powder stream in laser direct metal deposition. Powder Technol 340:449–458. https://doi.org/10.1016/j.powtec.2018.09.032

    Article  Google Scholar 

  6. Shishkovsky I, Missemer F, Smurov I (2012) Direct metal deposition of functional graded structures in ti- Al system. Phys Procedia 39:382–391. https://doi.org/10.1016/j.phpro.2012.10.052

    Article  Google Scholar 

  7. Anderson R, Terrell J, Schneider J et al (2019) Characteristics of bi-metallic interfaces formed during direct energy deposition additive manufacturing processing. Metall Mater Trans B 50:1921–1930. https://doi.org/10.1007/s11663-019-01612-1

    Article  Google Scholar 

  8. Kumar SP, Elangovan S, Mohanraj R, Srihari B (2021) Critical review of off-axial nozzle and coaxial nozzle for powder metal deposition. Mater Today. https://doi.org/10.1016/j.matpr.2021.03.037

    Article  Google Scholar 

  9. Ahn D-G (2021) Directed energy deposition (DED) process: state of the art. Int J Precis Eng Manuf-Green Technol 8:703–742. https://doi.org/10.1007/s40684-020-00302-7

    Article  Google Scholar 

  10. Dong F, Li Y (2020) Parameter simulation and analysis of rotary feeder. IOP Conf Ser Mater Sci Eng 772:012105. https://doi.org/10.1088/1757-899x/772/1/012105

    Article  Google Scholar 

  11. Zhao J, Xu Y, Li J, Han L (2019) Experimental evaluation of steel particle conveying characteristics in a rotary vane feeder under high pressure. Powder Technol 351:122–133. https://doi.org/10.1016/j.powtec.2019.04.011

    Article  Google Scholar 

  12. Gao W, Zhang Y, Ramanujan D et al (2015) The status, challenges, and future of additive manufacturing in engineering. Comput Aided Des 69:65–89. https://doi.org/10.1016/j.cad.2015.04.001

    Article  Google Scholar 

  13. Thayalan V, Landers RG (2006) Regulation of powder mass flow rate in gravity-fed powder feeder systems. J Manuf Process 8:121–132. https://doi.org/10.1016/s1526-6125(06)80007-1

    Article  Google Scholar 

  14. Arrizubieta JI, Wegener M, Arntz K et al (2016) Powder flux regulation in the laser material deposition process. Phys Procedia 83:743–751. https://doi.org/10.1016/j.phpro.2016.08.076

    Article  Google Scholar 

  15. Ruan J, Tang L, Sparks TE, et al (2008) Direct 3D layer metal deposition and toolpath generation. In: Volume 1: 34th Design Automation Conference, Parts A and B. ASMEDC

  16. Caiazzo F, Caggiano A (2018) Laser direct metal deposition of 2024 Al alloy: trace geometry prediction via machine learning. Materials (Basel) 11:444. https://doi.org/10.3390/ma11030444

    Article  Google Scholar 

  17. Yan J, Battiato I, Fadel GM (2017) A mathematical model-based optimization method for direct metal deposition of multimaterials. J Manuf Sci Eng 139:081011. https://doi.org/10.1115/1.4036424

    Article  Google Scholar 

  18. Angelastro A, Campanelli SL, Casalino G et al (2011) A methodology for optimization of the direct laser metal deposition process. Key Eng Mater 473:75–82. https://doi.org/10.4028/www.scientific.net/kem.473.75

    Article  Google Scholar 

  19. Tang L, Landers RG (2011) Layer-to-layer height control for laser metal deposition process. J Manuf Sci Eng 133:021009. https://doi.org/10.1115/1.4003691

    Article  Google Scholar 

  20. Al-Din N, Gunn DJ (1983) Metering of solids by a rotary valve feeder. Powder Technol 36:25–31. https://doi.org/10.1016/0032-5910(83)80005-9

    Article  Google Scholar 

  21. Bhalode P, Ierapetritou M (2020) Discrete element modeling for continuous powder feeding operation: calibration and system analysis. Int J Pharm 585:119427. https://doi.org/10.1016/j.ijpharm.2020.119427

    Article  Google Scholar 

  22. Gundogdu MY (2004) Design improvements on rotary valve particle feeders used for obtaining suspended airflows. Powder Technol 139:76–80. https://doi.org/10.1016/j.powtec.2003.10.010

    Article  Google Scholar 

  23. Zhou H, Yang Y, Wang D et al (2022) Powder flow simulation of a ring-type coaxial nozzle and cladding experiment in laser metal deposition. Int J Adv Manuf Technol 120:8389–8400. https://doi.org/10.1007/s00170-022-09175-3

    Article  Google Scholar 

  24. Alves JA, Silva RHGE, Dutra JC (2015) Development of a powder-feed device and procedures for the application of an experimental alloy in overhead PTA-P welding. Soldagem Inspecao 20:412–422. https://doi.org/10.1590/0104-9224/si2004.08

    Article  Google Scholar 

  25. Balu P, Leggett P, Kovacevic R (2012) Parametric study on a coaxial multi-material powder flow in laser-based powder deposition process. J Mater Process Technol 212:1598–1610. https://doi.org/10.1016/j.jmatprotec.2012.02.020

    Article  Google Scholar 

  26. Artaza T, Ramiro P, Ortiz M et al (2019) Effects of the nozzle tip clogging and the scanning direction on the deposition process during laser metal deposition of alloy 718 using a four-stream discrete nozzle. Procedia Manuf 41:264–271. https://doi.org/10.1016/j.promfg.2019.07.055

    Article  Google Scholar 

  27. Liu W, Wei H, Huang C et al (2019) Energy efficiency evaluation of metal laser direct deposition based on process characteristics and empirical modeling. Int J Adv Manuf Technol 102:901–913. https://doi.org/10.1007/s00170-018-03220-w

    Article  Google Scholar 

  28. Zhang J, Yang L, Li Z et al (2021) Transport phenomenon, flow field, and deposition forming of metal powder in the laser direct deposition with designed nozzle. Int J Adv Manuf Technol 114:1373–1383. https://doi.org/10.1007/s00170-021-06913-x

    Article  Google Scholar 

  29. Jardon Z, Guillaume P, Ertveldt J et al (2020) Offline powder-gas nozzle jet characterization for coaxial laser-based directed energy deposition. Procedia CIRP 94:281–287. https://doi.org/10.1016/j.procir.2020.09.053

    Article  Google Scholar 

  30. Bernhard R, Neef P, Eismann T et al (2020) Additive manufacturing of LMD nozzles for multi-material processing. Procedia CIRP 94:336–340. https://doi.org/10.1016/j.procir.2020.09.063

    Article  Google Scholar 

  31. Shin J, Mazumder J (2018) Composition monitoring using plasma diagnostics during direct metal deposition (DMD) process. Opt Laser Technol 106:40–46. https://doi.org/10.1016/j.optlastec.2018.03.020

    Article  Google Scholar 

  32. Hou QF, Dong KJ, Yu AB (2014) DEM study of the flow of cohesive particles in a screw feeder. Powder Technol 256:529–539. https://doi.org/10.1016/j.powtec.2014.01.062

    Article  Google Scholar 

  33. Chhabra R, Basavaraj MG (2019) Particulate solids in bulk: Storage and flow. Coulson and Richardson’s Chemical Engineering. Elsevier, pp 67–132. https://doi.org/10.1016/C2014-0-01370-6

  34. Durakovic B (2017) Design of experiments application, concepts, examples: state of the art. Period Eng Nat Sci (PEN). https://doi.org/10.21533/pen.v5i3.145

    Article  Google Scholar 

  35. Lenth RV (2002) Experiments: planning, analysis, and parameter design optimization. J Am Stat Assoc 97:654–654. https://doi.org/10.1198/jasa.2002.s473

    Article  Google Scholar 

  36. Rakić T, Kasagić-Vujanović I, Jovanović M et al (2014) Comparison of full factorial design, central composite design, and box-Behnken design in chromatographic method development for the determination of fluconazole and its impurities. Anal Lett 47:1334–1347. https://doi.org/10.1080/00032719.2013.867503

    Article  Google Scholar 

  37. Antony J (2003) A systematic methodology for design of experiments. Design of experiments for engineers and scientists. Elsevier, Amsterdam, pp 29–43

    Chapter  Google Scholar 

  38. Bhattacharya S (2021) Central composite design for response surface methodology and its application in pharmacy. Response surface methodology in engineering science. IntechOpen, London

    Google Scholar 

  39. Lee D-H, Jeong I-J, Kim K-J (2013) Methods and applications of dual response surface optimization: a literature review. J Korean Inst Ind Eng 39:342–350. https://doi.org/10.7232/jkiie.2013.39.5.342

    Article  Google Scholar 

  40. Lin M-H, Tsai J-F, Yu C-S (2012) A review of deterministic optimization methods in engineering and management. Math Probl Eng 2012:1–15. https://doi.org/10.1155/2012/756023

    Article  MathSciNet  Google Scholar 

  41. Gopireddy SR, Hildebrandt C, Urbanetz NA (2016) Numerical simulation of powder flow in a pharmaceutical tablet press lab-scale gravity feeder. Powder Technol 302:309–327. https://doi.org/10.1016/j.powtec.2016.08.065

    Article  Google Scholar 

  42. Leturia M, Benali M, Lagarde S et al (2014) Characterization of flow properties of cohesive powders: a comparative study of traditional and new testing methods. Powder Technol 253:406–423. https://doi.org/10.1016/j.powtec.2013.11.045

    Article  Google Scholar 

  43. Rautiainen A, Stewart G, Poikolainen V, Sarkomaa P (1999) An experimental study of vertical pneumatic conveying. Powder Technol 104:139–150. https://doi.org/10.1016/s0032-5910(99)00056-x

    Article  Google Scholar 

  44. Eshghinejadfard A, Hosseini SA, Thévenin D (2019) Effect of particle density in turbulent channel flows with resolved oblate spheroids. Comput Fluids 184:29–39. https://doi.org/10.1016/j.compfluid.2019.01.027

    Article  MathSciNet  Google Scholar 

  45. Fitzpatrick JJ, Barry K, Cerqueira PSM et al (2007) Effect of composition and storage conditions on the flowability of dairy powders. Int Dairy J 17:383–392. https://doi.org/10.1016/j.idairyj.2006.04.010

    Article  Google Scholar 

  46. Bargieł M, Ford RA, Tory EM (2005) Simulation of sedimentation of polydisperse suspensions: a particle-based approach. AIChE J 51:2457–2468. https://doi.org/10.1002/aic.10517

    Article  Google Scholar 

  47. Chen H, Jog MA, Evans DE, Turkevich LA (2021) Numerical investigation of powder aerosolization in a rotating drum apparatus. Powder Technol 390:62–72. https://doi.org/10.1016/j.powtec.2021.04.102

    Article  Google Scholar 

  48. Wangchai S, Hastie DB, Wypych PW (2016) The investigation of particle flow mechanisms of bulk materials in dustiness testers. Part Sci Technol 34:241–254. https://doi.org/10.1080/02726351.2015.1069430

    Article  Google Scholar 

  49. Pordanjani AH, Vahedi SM, Aghakhani S et al (2020) Multivariate optimization and sensitivity analyses of relevant parameters on efficiency of scraped surface heat exchanger. Appl Therm Eng 178:115445. https://doi.org/10.1016/j.applthermaleng.2020.115445

    Article  Google Scholar 

  50. Tsolakis A (2006) Effects on particle size distribution from the diesel engine operating on RME-biodiesel with EGR. Energy Fuels 20:1418–1424. https://doi.org/10.1021/ef050385c

    Article  Google Scholar 

  51. Melling A (1997) Tracer particles and seeding for particle image velocimetry. Meas Sci Technol 8:1406–1416. https://doi.org/10.1088/0957-0233/8/12/005

    Article  Google Scholar 

  52. Atkins MD, Kienhöfer FW, Kim T (2019) Flow behavior in radial vane disk brake rotors at low rotational speeds. J Fluids Eng. https://doi.org/10.1115/1.4042470

    Article  Google Scholar 

  53. Sorta AR, Sego DC, Wilson W (2012) Effect of thixotropy and segregation on centrifuge modelling. Int J Phys Model Geotech 12:143–161. https://doi.org/10.1680/ijpmg.12.00003

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge the DEM Solutions Limited, United Kingdom and Caezen Technologies, India for offering the support in analyzing the particle flow simulation.

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The authors declare that no funds, grants, or other support was received during the preparation of this manuscript.

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SPK: experimentation, supervision, drafting, review and editing. JRR, SK: drafting and editing.

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Correspondence to S. Pratheesh Kumar.

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Kumar, S.P., Ramakrishna, J.R. & Karthikeyan, S. Investigations on mass flow rate of rotary vane feeder for direct metal laser deposition. Prog Addit Manuf (2024). https://doi.org/10.1007/s40964-024-00602-3

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