Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 3
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The machinability and the process parameter optimization of turning operation for 15-5 Precipitation Hardening (PH) stainless steel have been investigated based on the Taguchi based grey approach and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). An L27 orthogonal array was selected for planning the experiment. Cutting speed, depth of cut and feed rate were considered as input process parameters. Cutting force (Fz) and surface roughness (Ra) were considered as the performance measures. These performance measures were optimized for the improvement of machinability quality of product. A comparison is made between the multi-criteria decision making tools. Grey Relational Analysis (GRA) and TOPSIS are used to confirm and prove the similarity. To determine the influence of process parameters, Analysis of Variance (ANOVA) is employed. The end results of experimental investigation proved that the machining performance can be enhanced effectively with the assistance of the proposed approaches.

Go to article

Authors and Affiliations

D. Palanisamy
P. Senthil
Download PDF Download RIS Download Bibtex

Abstract

17-4PH stainless steel finds application in the aerospace industry owing to its good mechanical properties and corrosion resistance. In the literature, this steel is described as good for welding, but research shows that it may be problematic due to the formation of defects. In this study, the welded joints were made by the robotic TIG welding method with various welding speeds (2 and 3 mm/s). The joints were subjected to non-destructive testing and were free from defects. The microstructure was observed by light microscopy and scanning electron microscopy. Changes in the microstructure of the heat affected zone were observed and discussed. Based on the observation of the microstructure and the change in the hardness profile, the heat affected zone was divided into 4 characteristic regions. δ-ferrite and NbC were observed in the martensite matrix. The welded joints were subjected to heat treatment consisting of solution and aging in 550°C for 4 h. The microstructure of the heat affected zone become homogenized as a result of the heat treatment. The content of stable austenite in the welded joint after the heat treatment was about 3%.
Go to article

Authors and Affiliations

A. Nalborczyk-Kazanecka
1
ORCID: ORCID
G. Mrowka-Nowotnik
1
ORCID: ORCID

  1. Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, 12 Powstańców Warszawy Av., 35-959 Rzeszów, Poland
Download PDF Download RIS Download Bibtex

Abstract

The 17-4 PH Stainless Steel material is known for its higher strength and, therefore, extensively used to build structures for aerospace, automotive, biomedical, and energy applications. The parts must operate satisfactorily in different environmental conditions to widen the diverse application. The selective laser melting (SLM) technique build parts cost-effectively, ensuring near-net shape manufacturability. Laser power, scan speed, and hatch distance operating at different conditions were used to develop parts and optimize for higher density in printed parts. Laser power, scan speed, and hatch distance resulted in the percent contribution towards density equal to 73.74%, 24.48%, and 1.78%. The optimized conditions resulted in higher density and relative density equal to 7.76 g/cm 3 and 99.48%. Printed parts' corrosion rate and wear loss showed more stability in NaCl corrosive medium even at 75 °C than 1M of HCL corrosive medium. Less pitting corrosion was observed on the samples treated in NaCl solution at 25 °C and 75 °C at 72 Hrs than in HCL solution. Therefore, 17-4 PH SS parts are best suited even in marine applications.
Go to article

Bibliography

[1] Hou, B., Li, X., Ma, X., Du, C., Zhang, M., Zheng, M., Xu, W., Lu, D. & Ma, F. (2017). The cost of corrosion in China. Materials Degradation. 1(1), 4. DOI:10.1038/s41529-017-0005-2.
[2] Khan, M.A.A., Hussain, M. & Djavanroodi, F. (2021). Microbiologically influenced corrosion in oil and gas industries: A review. International Journal of Corrosion and Scale Inhibition. 10(1), 80-106. DOI: 10.17675/2305-6894-2021-10-1-5.
[3] Bhandari, J., Khan, F., Abbassi, R., Garaniya, V. & Ojeda, R. (2015). Modelling of pitting corrosion in marine and offshore steel structures–A technical review. Journal of Loss Prevention in the Process Industries. 37, 39-62. https://doi.org/10.1016/j.jlp.2015.06.008.
[4] Abbas, M. & Shafiee, M. (2020). An overview of maintenance management strategies for corroded steel structures in extreme marine environments. Marine Structures. 71, 102718. https://doi.org/10.1016/j.marstruc. 2020.102718.
[5] Chalisgaonkar, R. (2020). Insight in applications, manufacturing and corrosion behaviour of magnesium and its alloys–A review. Materials Today: Proceedings. 26, 1060-1071. https://doi.org/10.1016/j.matpr.2020.02.211.
[6] Zhu, J., Li, D., Chang, W., Wang, Z., Hu, L., Zhang, Y., ... & Zhang, L. (2020). In situ marine exposure study on corrosion behaviors of five alloys in coastal waters of western Pacific Ocean. Journal of Materials Research and Technology. 9(4), 8104-8116. https://doi.org/10.1016/j.jmrt.2020.05.060.
[7] Swamy, P.K., Mylaraiah, S., Gowdru Chandrashekarappa, M.P., Lakshmikanthan, A., Pimenov, D.Y., Giasin, K. & Krishna, M. (2021). Corrosion behaviour of high-strength Al 7005 alloy and its composites reinforced with industrial waste-based fly ash and glass fibre: comparison of stir cast and extrusion conditions. Materials. 14(14), 3929. https://doi.org/10.3390/ma14143929.
[8] Varol, T., Güler, O., Yıldız, F. & Suresh Kumar, S. (2022). Additive manufacturing of non-ferrous metals. In Innovations in Additive Manufacturing. (pp. 91-120). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89401-6_5.
[9] Mahmoodian, M. (2018). Introduction. In: Reliability and maintainability of in-service pipelines. India: Elsevier.
[10] Ssenteza, V., Eklund, J., Hanif, I., Liske, J. & Jonsson, T. (2023). High temperature corrosion resistance of FeCr (Ni, Al) alloys as bulk/overlay weld coatings in the presence of KCl at 600° C. Corrosion Science. 213, 110896. https://doi.org/10.1016/j.corsci.2022.110896.
[11] Folkeson, N., Jonsson, T., Halvarsson, M., Johansson, L.G. & Svensson, J.E. (2011). The influence of small amounts of KCl (s) on the high temperature corrosion of a Fe‐2.25 Cr‐1Mo steel at 400 and 500° C. Materials and Corrosion. 62(7), 606-615. https://doi.org/10.1002/maco.201005942.
[12] Müller, P., Pernica, V. & Kaňa, V. (2022). Corrosion resistance of cast duplex steels. Archives of Foundry Engineering, 22(3), 5-10. DOI: 10.24425/afe.2022.140230.
[13] Francis, R. & Byrne, G. (2018). The erosion corrosion limits of duplex stainless steels. Materials Performance. 57(5), 44-47.
[14] Sahu, S., Swanson, O.J., Li, T., Gerard, A.Y., Scully, J.R. & Frankel, G.S. (2020). Localized corrosion behavior of non-equiatomic NiFeCrMnCo multi-principal element alloys. Electrochimica acta. 354, 136749. https://doi.org/10.1016/ j.electacta.2020.136749.
[15] Chen, H., Kim, S.H., Kim, C. Chen, J. & Jang, C. (2019). Corrosion behaviors of four stainless steels with similar chromium content in supercritical carbon dioxide environment at 650 C. Corrosion Science. 156, 16-31. https://doi.org/10.1016/j.corsci.2019.04.043.
[16] Zai, L., Zhang, C., Wang, Y., Guo, W., Wellmann, D., Tong, X. & Tian, Y. (2020). Laser powder bed fusion of precipitation-hardened martensitic stainless steels: a review. Metals. 10(2), 255. https://doi.org/10.3390/met10020255.
[17] Li, J., Zhan, D., Jiang, Z., Zhang, H., Yang, Y. & Zhang, Y. (2023). Progress on improving strength-toughness of ultra-high strength martensitic steels for aerospace applications: a review. Journal of Materials Research and Technology. 23, 172-190. https://doi.org/10.1016/j.jmrt.2022.12.177.
[18] Davanageri, M., Narendranath, S. & Kadoli, R. (2016). Dry sliding wear behavior of super duplex stainless steel AISI 2507: A statistical approach. Archives of Foundry Engineering. 16(4), 47-56.
[19] Ghaffari, M., Nemani, A. V. & Nasiri, A. (2022). Microstructure and mechanical behavior of PH 13–8Mo martensitic stainless steel fabricated by wire arc additive manufacturing. Additive Manufacturing. 49, 102374. https://doi.org/10.1016/j.addma.2021.102374.
[20] Alım, B., Özpolat, Ö.F., Şakar, E., Han, İ., Arslan, İ., Singh, V.P. & Demir, L. (2022). Precipitation-hardening stainless steels: Potential use radiation shielding materials. Radiation Physics and Chemistry. 194, 110009. https://doi.org/10.1016/j.radphyschem.2022.110009.
[21] Yeganeh, M., Shoushtari, M.T. & Jalali, P. (2021). Evaluation of the corrosion performance of selective laser melted 17-4 precipitation hardening stainless steel in Ringer’s solution. Journal of Laser Applications. 33(4). https://doi.org/10.2351/7.0000445.
[22] Rafi, H.K., Pal, D., Patil, N., Starr, T.L. & Stucker, B.E. (2014). Microstructure and mechanical behavior of 17-4 precipitation hardenable steel processed by selective laser melting. Journal of materials engineering and performance. 23, 4421-4428. https://doi.org/10.1007/s11665-014-1226-y.
[23] Hu, Z., Zhu, H., Zhang, H. & Zeng, X. (2017). Experimental investigation on selective laser melting of 17-4PH stainless steel. Optics & Laser Technology. 87, 17-25. https://doi.org/10.1016/j.optlastec.2016.07.012.
[24] Srivastava, M., Rathee, S., Tiwari, A. & Dongre, M. (2023). Wire arc additive manufacturing of metals: A review on processes, materials and their behaviour. Materials Chemistry and Physics. 294, 126988. https://doi.org/10.1016/j.matchemphys.2022.126988.
[25] Piekło, J. & Garbacz-Klempka, A. (2021). Use of selective laser melting (SLM) as a replacement for pressure die casting technology for the production of automotive casting. Archives of Foundry Engineering. 21(2), 9-16. DOI: 10.24425/afe.2021.136092.
[26] Fuchs, S.L., Praegla, P.M., Cyron, C.J., Wall, W.A. & Meier, C. (2022). A versatile SPH modeling framework for coupled microfluid-powder dynamics in additive manufacturing: binder jetting, material jetting, directed energy deposition and powder bed fusion. Engineering with Computers. 38(6), 4853-4877. https://doi.org/10.1007/s00366-022-01724-4.
[27] Zhu, Y.Y., Tang, H.B., Li, Z., Xu, C. & He, B. (2019). Solidification behavior and grain morphology of laser additive manufacturing titanium alloys. Journal of Alloys and Compounds. 777, 712-716. https://doi.org/10.1016/ j.jallcom.2018.11.055.
[28] Sheshadri, R., Nagaraj, M., Lakshmikanthan, A., Chandrashekarappa, M.P.G., Pimenov, D.Y., Giasin, K., ... & Wojciechowski, S. (2021). Experimental investigation of selective laser melting parameters for higher surface quality and microhardness properties: Taguchi and super ranking concept approaches. Journal of Materials Research and Technology, 14, 2586-2600. https://doi.org/10.1016/ j.jmrt.2021.07.144.
[29] Li, R., Shi, Y., Wang, Z., Wang, L., Liu, J. & Jiang, W. (2010). Densification behavior of gas and water atomized 316L stainless steel powder during selective laser melting. Applied Surface Science. 256(13), 4350-4356. https://doi.org/10.1016/j.apsusc.2010.02.030.
[30] Averyanova, M., Cicala, E., Bertrand, P., Grevey, D. (2012). Experimental design approach to optimize selective laser melting of martensitic 17-4 PH powder: part Iesingle laser tracks and first layer. Rapid Prototyping Journal. 18(1), 28e37. https://doi.org/ 10.1108/13552541211193476
[31] Razavykia, A., Brusa, E., Delprete, C. & Yavari, R. (2020). An overview of additive manufacturing technologies—a review to technical synthesis in numerical study of selective laser melting. Materials. 13(17), 3895. https://doi.org/10.3390/ma13173895.
[32] Gu, H., Gong, H., Pal, D., Rafi, K., Starr, T., Stucker B, Influences of energy density on porosity and microstructure of selective laser melted 17-4PH stainless steel. In 2013 International Solid Freeform Fabrication Symposium. University of Texas at Austin, 2013-August.
[33] Rashid, R., Masood, S.H., Ruan, D., Palanisamy, S., Rashid, R.R. & Brandt, M. (2017). Effect of scan strategy on density and metallurgical properties of 17-4PH parts printed by Selective Laser Melting (SLM). Journal of Materials Processing Technology. 249, 502-511. https://doi.org/10.1016/j.jmatprotec.2017.06.023.
[34] Weissman, S.A. & Anderson, N.G. (2015). Design of experiments (DoE) and process optimization. A review of recent publications. Organic Process Research & Development. 19(11), 1605-1633. https://doi.org/10.1021/op500169m.
[35] Spall, J.C. (1998). An overview of the simultaneous perturbation method for efficient optimization. Johns Hopkins apl technical digest. 19(4), 482-492.
[36] Yap, C.Y., Chua, C.K. & Dong, Z.L. (2016). An effective analytical model of selective laser melting. Virtual and Physical Prototyping. 11(1), 21-26. https://doi.org/10.1080/ 17452759.2015.1133217.
[37] Pawlak, A., Rosienkiewicz, M. & Chlebus, E. (2017). Design of experiments approach in AZ31 powder selective laser melting process optimization. Archives of Civil and Mechanical Engineering. 17, 9-18. https://doi.org/10.1016/j.acme.2016.07.007.
[38] Sun, J., Yang, Y. & Wang, D. (2013). Parametric optimization of selective laser melting for forming Ti6Al4V samples by Taguchi method. Optics & Laser Technology. 49, 118-124. https://doi.org/10.1016/j.optlastec.2012.12.002.
[39] Bai, Y., Yang, Y., Xiao, Z., Zhang, M. & Wang, D. (2018). Process optimization and mechanical property evolution of AlSiMg0. 75 by selective laser melting. Materials & Design. 140, 257-266. https://doi.org/10.1016/j.matdes.2017.11.045.
[40] Larimian, T., Kannan, M., Grzesiak, D., Al Mangour, B. & Borkar, T. (2020). Effect of energy density and scanning strategy on densification, microstructure and mechanical properties of 316L stainless steel processed via selective laser melting. Materials Science and Engineering: A. 770, 138455. https://doi.org/10.1016/j.msea.2019.138455.
[41] Pearson, P. & Cousins, A. (2016). Assessment of corrosion in amine-based post-combustion capture of carbon dioxide systems. Absorption-based post-combustion capture of carbon dioxide. 439-463. https://doi.org/10.1016/B978-0-08-100514-9.00018-4.
[42] Martin, S., Lepaumier, H., Picq, D., Kittel, J., De Bruin, T., Faraj, A. & Carrette, P.L. (2012). New amines for CO2 capture. IV. Degradation, corrosion, and quantitative structure property relationship model. Industrial and Engineering Chemistry Research. 51(18), 6283-6289. https://doi.org/10.1021/ie2029877.
[43] Cherry, J.A., Davies, H.M., Mehmood, S., Lavery, N.P., Brown, S.G.R., & Sienz, J. (2015). Investigation into the effect of process parameters on microstructural and physical properties of 316L stainless steel parts by selective laser melting. The International Journal of Advanced Manufacturing Technology. 76, 869-879. 8), 6283-6289. https://doi.org/10.1021/ie2029877.
[44] Davidson, K. & Singamneni, S. (2016). Selective laser melting of duplex stainless steel powders: an investigation. Materials and Manufacturing Processes. 31(12), 1543-1555. https://doi.org/10.1080/10426914.2015.1090605.
[45] Suwanpreecha, C., Seensattayawong, P., Vadhanakovint, V. & Manonukul, A. (2021). Influence of specimen layout on 17-4PH (AISI 630) alloys fabricated by low-cost additive manufacturing. Metallurgical and Materials Transactions A. 52, 1999-2009. https://doi.org/10.1007/s11661-021-06211-x.
[46] Dilip, J.J.S., Zhang, S., Teng, C., Zeng, K., Robinson, C., Pal, D. & Stucker, B. (2017). Influence of processing parameters on the evolution of melt pool, porosity, and microstructures in Ti-6Al-4V alloy parts fabricated by selective laser melting. Progress in Additive Manufacturing. 2, 157-167. https://doi.org/10.1007/s40964-017-0030-2.
[47] Tian, Y., Tomus, D., Rometsch, P. & Wu, X. (2017). Influences of processing parameters on surface roughness of Hastelloy X produced by selective laser melting. Additive Manufacturing. 13, 103-112. https://doi.org/10.1016/ j.addma.2016.10.010.
[48] Gong, H., Rafi, K., Gu, H., Starr, T. & Stucker, B. (2014). Analysis of defect generation in Ti–6Al–4V parts made using powder bed fusion additive manufacturing processes. Additive Manufacturing. 1, 87-98. https://doi.org/10.1016/j.addma.2014.08.002.
[49] Wen, S., Wang, C., Zhou, Y., Duan, L., Wei, Q., Yang, S. & Shi, Y. (2019). High-density tungsten fabricated by selective laser melting: Densification, microstructure, mechanical and thermal performance. Optics & Laser Technology. 116, 128-138. https://doi.org/10.1016/j.optlastec.2019.03.018.
[50] Meier, H. & Haberland, C. (2008). Experimental studies on selective laser melting of metallic parts. Materialwissenschaft und Werkstofftechnik. 39(9), 665-670. DOI: 10.1002/mawe.200800327.
[51] Garcia-Cabezon, C., Castro-Sastre, M.A., Fernandez-Abia, A.I. et al. (2022). Microstructure–hardness–corrosion performance of 17–4 precipitation hardening stainless steels processed by selective laser melting in comparison with commercial alloy. Metals and Materials International. 28, 2652–2667. https://doi.org/10.1007/s12540-021-01155-8.
Go to article

Authors and Affiliations

Priya Sahadevan
1
Chithirai Pon Selvan
2
ORCID: ORCID
G C Manjunath Patel
3
ORCID: ORCID
Amiya Bhaumik
1

  1. Lincoln University College Selangor, Malaysia
  2. Curtin University Dubai, United Arab Emirates
  3. PES Institute of Technology and Management, Shivamogga, Visvesvaraya Technological University, Belagavi, India

This page uses 'cookies'. Learn more