Reliability-based design optimization of screw shaft for continuous high-pressure hydrothermal co-liquefaction process Original scientific paper

Main Article Content

Chitra Devi Venkatachalam
https://orcid.org/0000-0001-8510-2249
Premkumar Bhuvaneshwaran
https://orcid.org/0000-0001-6835-5180
Mothil Sengottian
https://orcid.org/0000-0001-6154-7526
Sathish Raam Ravichandran
https://orcid.org/0000-0002-1394-1040

Abstract

Hydrothermal co-liquefaction (HTCL) is the prominent process for producing bio-products with a higher conversion rate. It is performed at high temperatures and pressure in the presence of water. Earlier, it was mostly conducted in batch reactors, but it has major limitations including operating volume, back mixing and tedious process for high productivity. With that, the present investigation is performed on designing the screw shaft for the high-pressure HTCL process. The dimensional factors including flight length, pitch, helix angle and depth were considered to design the optimal screw shaft. Likewise, principal stresses, shear stress, bending stress, bending moment and total deformation were regarded as inevitable response variables to analyze the internal strength of the shaft. In this regard, the Taguchi approach provides the L9 (34) orthogonal array as an experimental design. Then, the numerical results from the transient structural analysis were analyzed with the assistance of statistical methods such as Grey Relational Grade (GRG), Grey Fuzzy Reasoning Grade, Analysis of Variance (ANOVA) and Taguchi method to find the most influential dimensions for minimizing the response variable. Consequently, the results from both GRG and Taguchi optimization were compared and selected the most optimum parameters.

Article Details

How to Cite
Venkatachalam, C. D. ., Bhuvaneshwaran, P. ., Sengottian, M. ., & Ravichandran, S. R. . (2024). Reliability-based design optimization of screw shaft for continuous high-pressure hydrothermal co-liquefaction process: Original scientific paper. Chemical Industry & Chemical Engineering Quarterly. https://doi.org/10.2298/CICEQ231124004V
Section
Articles

References

C.D. Venkatachalam, S.R. Ravichandran, M. Sengottian, Environ. Eng. Res. 27(2021), 200555-200571. https://doi.org/10.4491/eer.2020.555

F. Campuzano, R.C. Brown, J.D. Martínez, Renew. Sust. Energ. Rev. 102(2019), 372-409. https://doi.org/10.1016/j.rser.2018.12.014

S.S. Toor, L.A. Rosendahl, A. Rudolf, Energy 36(2011), 2328-2342. https://doi.org/10.1016/j.energy.2011.03.013

C.D. Venkatachalam, M. Sengottian, S.R. Ravichandran, K. Subramaniyan, P. Kalappan Thangamuthu, Period. Polytech. Chem. Eng. 65(2020), 105-115. https://doi.org/10.3311/PPch.15187

Wahyudiono, M. Sasaki, M. Goto, Conversion of biomass model compound under hydrothermal conditions using batch reactor 88(2009), 1656-1664. 10.1016/j.fuel.2009.02.028

B. Miljkovic, Period. Polytech. Chem. Eng. 67(2023), 62-73. https://doi.org/10.3311/PPch.20257

Wahyudiono, M. Sasaki, M. Goto, Chem. Eng. Process 47(2008), 1609-1619. https://doi.org/10.1016/j.cep.2007.09.001

I.M. Sintamarean, I.F. Grigoras, C.U. Jensen, S.S. Toor, T.H. Pedersen, L.A. Rosendahl, Biomass Convers. Biorefin. 7(2017), 425-435. https://doi.org/10.1007/s13399-017-0247-9

P. Brassard, S. Godbout, V. Raghavan, J.H. Palacios, M. Grenier, D. Zegan, Energies 10(2017), 288-302. https://doi.org/10.3390/en10030288

G. Shengbo, Y. Peter Nai Yuh, C. Yoke Wang, X. Changlei, W.M. Wan Adibah, L. Rock Keey, P. Wanxi, Y. Tong-Qi, T. Meisam, A. Mortaza, S.k. Christian, L. Su Shiung, Renew. Sust. Energ. Rev. 135(2021), 110148-110162. https://doi.org/10.1016/j.rser.2020.110148

C.E. Efika, C. Wu, P.T. Williams, J. Anal. Appl. Pyrolysis 95(2012), 87-94. https://doi.org/10.1016/j.jaap.2012.01.010

S.K. Hoekman, A. Broch, L. Felix, W.E. Farthing, Energy Convers. Manag. 134(2017), 247-259. https://doi.org/10.1016/j.enconman.2016.12.035

P. Evangelopoulos, H. Persson, E.K. Kantarelis, W. Yang, Process Saf. Environ. Prot. 143(2020), 313-321. https://doi.org/10.1016/j.psep.2020.07.006

S. Ge, P.N.Y. Yek, Y.W. Cheng, C. Xia, W.A.W. Mahari, R.K. Liew, P. Wanxi, Y. Tong-Qi, T. Meisam, A. Mortaza, S.k. Christian, L. Su Shiung, Renew. Sust. Energ. Rev. 135(2021), 110148-110162. https://doi.org/10.1016/j.rser.2020.110148

L. HALASZ, Period. Polytech. Chem. Eng. 34(1989), 173-196. https://pp.bme.hu/ch/article/view/2721

A. YoosefDoost, D.L. William, Sustainability 12(2020), 7352-7385. https://doi.org/10.3390/su12187352

M. Meise, L. Jäger, A. Wilk, T. Heitmann, S. Scholl, Chem. Ing. Tech. 92(2020), 1074-1082. https://doi.org/10.1002/cite.202000092

E.P. Bilalis, M.S. Keramidis, N.G. Tsouvalis, Mar. Struct. 84(2022), 103194. https://doi.org/10.1016/j.marstruc.2022.103194

S.P.S. Kumar, R. Rao, B.A. Rajeevalochanam, Procedia Eng. 55(2013), 499-509. https://doi.org/10.1016/j.proeng.2013.03.287

C. Moganapriya, R. Rajasekar, P. Sathish Kumar, T. Mohanraj, V.K. Gobinath, J. Saravanakumar, Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach 63(2020), 1169-1186. https://doi.org/10.1007/s00158-020-02751-9

S. Ajith Arul Daniel, R. Pugazhenthi, R. Kumar, S. Vijayananth, Def. Technol. 15(2019), 545-556. https://doi.org/10.1016/j.dt.2019.01.001

S.M. Senthil, R. Parameshwaran, S. Ragu Nathan, M. Bhuvanesh Kumar, K. Deepandurai, Struct. Multidiscipl. Optim. 62(2020), 1117-1133. https://doi.org/10.1007/s00158-020-02542-2

F. Xiong, D. Wang, S. Zhang, K. Cai, S. Wang, F. Lu, Struct. Multidiscipl. Optim. 57(2017), 441-461. https://doi.org/10.1007/s00158-017-1749-6

W. Yao, K. Cai, Y. Xu, Optimizing the beam-like structure of a vehicle body using the grey–fuzzy–Taguchi method 53(2020), 49-70. https://doi.org/10.1080/0305215X.2019.1698033

M. Saleh, Z. Zaidi, M.H. Ionescu, C. Hurt, K. Short, J.E. Daniels, P. Munroe, L.E. Edwards, D. Bhattacharyya, Int. J. Plast. 86(2016), 151-169. https://doi.org/10.1016/j.ijplas.2016.08.006

V.A. Girisha, M.M. Joshi, L.J. Kirthan, A. Bharatish, R. Hegde, Sādhanā 44(2019), 1-8. https://doi.org/10.1007/s12046-019-1111-3

H. Kweon, J. Kim, O. Song, D. Oh, Nucl. Eng. Technol. 53(2021), 647-656. https://doi.org/10.1016/j.net.2020.07.014

B. Bozorgmehri, V.-V. Hurskainen, M. K. Matikainen, A. Mikkola, J. Sound Vib. 453(2019), 214-236. https://doi.org/10.1016/j.jsv.2019.03.022

R. Scheepers, P.S. Heyns, J. Mech. Sci. Technol. 30(2016), 4063-4074. https://doi.org/10.1007/s12206-016-0819-9

N.L. Pedersen, On optimal stress for shaft–hub connections (polygon connections) 56(2020), 195-205. https://doi.org/10.1177/0309324720969530

O.A. Samuel, I.O. Bankole, O.I. Christianah, O.M.A. Adeyinka, F.K. Joseph, J. Mater. Res. 8(2019), 105-111. https://doi.org/10.1016/j.jmrt.2017.10.007

Á. Sass, A. Kummer, Z. Ulbert, A. Egedy, Period. Polytech. Chem. Eng. 65(2021), 536-549. https://doi.org/10.3311/PPch.17095

Z. Yongjie No, X. Hongmei No, Appl. Eng. Agric. 35(2019), 453-460. 10.13031/aea.13351

S. Seifoori, A. Mahdian Parrany, M. Khodayari, Eng. Fail. Anal. 116(2020), 104752-104768. https://doi.org/10.1016/j.engfailanal.2020.104752

L. Dao-Kui, L. Xian-Fang, CR MECANIQUE 344(2016), 556-568. https://doi.org/10.1016/j.crme.2016.01.007

A. Roy, P. Palit, S. Das, G. Mukhyopadyay, Eng. Fail. Anal. 112(2020), 104511-104526. https://doi.org/10.1016/j.engfailanal.2020.104511

K. Cai, D. Wang, Struct. Multidiscipl. Optim. 56(2017), 1539-1553. https://doi.org/10.1007/s00158-017-1728-y

Q. Sawei, X. Zhigang, H. Hong, Y. Zhong, X. Erli, X. Congchang, L. Luoxing, Struct. Multidiscipl. Optim. 64(2021), 4129–4145. https://doi.org/10.1007/s00158-021-03035-6

A. Tanmaya, G. Raghvendra, A. Sudeekcha, S. Vishal, K. Manish, K. Saket, Sustain. Futures 2(2020), 100039-100050. https://doi.org/10.1016/j.sftr.2020.100039

X. Deng, S. Wang, H. Youssef, L. Qian, Y. Liu, Struct. Multidiscipl. Optim. 62(2020), 2833-2847. https://doi.org/10.1007/s00158-020-02640-1

D. Sunil, R.N. Suresh Kumar, Measurement 169(2021), 108340-108347. https://doi.org/10.1016/j.measurement.2020.108340

B. Maël, B. Johan, V. Laura, R.-C. Ainhoa, C. Edwin, Renew. Energy. 172(2021), 941-954. https://doi.org/10.1016/j.renene.2021.03.076

M.A. Perras, H. Wannenmacher, M.S. Diederichs, Rock Mech. Rock Eng. 48(2014), 1647-1671. https://doi.org/10.1007/s00603-014-0656-z

W. Zhang, J. Yang, C. Li, R. Dai, A. Yang, J. Vib. Control 23(2016), 1183-1192. https://doi.org/10.1177/1077546315590908

Similar Articles

You may also start an advanced similarity search for this article.