Redesign and Remanufacturing the Shot Peening Machine: Model and Experiment
Abstract
Stainless steel is a material that is corrosion resistant and can be used as an implant material (type 316L). Cold treatment can only increase stainless steel’s hardness, one of which is the shot peening process. This paper aims to remanufacture the shot peening machine for
laboratory-scale testing purposes. The methodology used in designing the device, making all the necessary components, assembling it, and testing the shot peening machine with several specified parameters. The conclusion that can be obtained is the shot peening machine has been well designed and remanufactured and has appropriately functioned based on the performance that has been shown in the testing of stainless steel 316L.
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conditions Mater Charact. 49(1)73–9
[2] Iqbal M, Prasetya D, Mahardika M, Suyitno S, Arifvianto B, Prihandana GS, et al. 2011 The effect
of sandblasting on AISI 316L stainless steels InProsiding Industrial Research Workshop and National
Seminar. p. 58–61
[3] Elias CN, Oshida Y, Lima JHC, Muller CA 2008 Relationship between surface properties (roughness,
wettability and morphology) of titanium and dental implant removal torque J Mech Behav Biomed Mater.
1(3)234–42
[4] Piattelli A, Scarano A, Piattelli M, Calabrese L 1996 Direct bone formation on sandblasted titanium implants:
an experimental study Biomaterials. 17(10)1015–8
[5] Oshida Y, Sachdeva R, Miyazaki S, Daly J 1993 Effects of shot-peening on surface contact angles of
biomaterials J Mater Sci Mater Med.
[6] Mukhsen MI, Nur R, Af Yusuf MA, Rakka C 2020 The influence of shooting conditions during shot peening
of stainless steel on surface roughness InIOP Conference Series: Materials Science and Engineering.
[7] Harada Y, Yakura R 2010 Effect of shot peening on surface chracteristics of carbon steel with different heat
treatments InAIP Conference Proceedings.
[8] Bagherifard S, Ghelichi R, Guagliano M 2012 Numerical and experimental analysis of surface roughness
generated by shot peening Appl Surf Sci.
[9] Shiyi Liu, Zhenning Su, Ming Li, and Longtan Shao. Slope stability analysis using elastic finite element
stress fields. Engineering Geology, 273:105673, 2020.
[10] Yufeng Tian and Zhanshan Wang. A new multiple integral inequality and its application to stability analysis
of time-delay systems. Applied Mathematics Letters, 105:106325, 2020.
[11] Mustafa Turkyilmazoglu. Single phase nanofluids in fluid mechanics and their hydrodynamic linear stability
analysis. Computer Methods and Programs in Biomedicine, 187:105171, 2020.
[12] M. Kusban, A. Susanto, and O. Wahyunggoro. Feature extraction for palmprint recognition using kernel-pca
with modification in gabor parameters. In 2016 1st International Conference on Biomedical Engineering
(IBIOMED), pages 1–6, 2016.
[13] S. Dale, H. M. Silaghi, and C. Costea. Procedural and software development of a liapunov-based stability
analysis method for interpolative-type control systems. In 2013 17th International Conference on System
Theory, Control and Computing (ICSTCC), pages 156–159, 2013.
[14] S. Lian, S. Minami, S. Morii, and S. Kawamoto. Analysis method of voltage stability for bulk power system
by p-v and q-v curves considering dynamic load. In 2009 IEEE/PES Power Systems Conference and
Exposition, pages 1–6, 2009.
[15] S. Lian, S. Minami, S. Morii, and S. Kawamoto. A novel construction method of decentralized systems and
stability analysis for bulk power system. In 2009 IEEE Power Energy Society General Meeting, pages 1–6,
2009.
[16] A. Monica and Narayanappa. Transient stability analysis of tngt power system. In 2014 IEEE 8th
International Conference on Intelligent Systems and Control (ISCO), pages 149–154, 2014.
[17] A. V. Platonov. Stability analysis for nonlinear mechanical systems with non-stationary potential forces.
In 2020 15th International Conference on Stability and Oscillations of Nonlinear Control Systems
(Pyatnitskiy’s Conference) (STAB), pages 1–4, 2020.
[18] R. Safari and B. Tavassoli. Stability analysis of networked control systems with generalized nonlinear
perturbations. In 2014 Smart Grid Conference (SGC), pages 1–6, 2014.
[19] L. Shen and H. Xiao. Delay-dependent robust stability analysis of power systems with pid controller. Chinese
Journal of Electrical Engineering, 5(2):79–86, 2019.
[20] H. Xuedong, D. Ruhu, C. Gengxin, L. Zhi, and X. Shangxue. The research and application of stability
control system operated on qipanjing industrial park isolated power system. In 2016 China International
Conference on Electricity Distribution (CICED), pages 1–4, 2016.
[21] Y. Yang and H. Shu. Power system stability analysis and control based on pmu. In 2011 International
Conference on Computer Science and Service System (CSSS), pages 3376–3379, 2011.
[22] Muhammad Kusban, Adhi Susanto, and Oyas Wahyunggoro. Combination a skeleton filter and reduction
dimension of kernel pca based on palmprint recognition. International Journal of Electrical and Computer
Engineering (IJECE), 6:3255–3261, 12 2016.
[23] W. Yu, Y. Xue, J. Luo, M. Ni, H. Tong, and T. Huang. An uhv grid security and stability defense system:
Considering the risk of power system communication. IEEE Transactions on Smart Grid, 7(1):491–500,
2016.
[24] Mylonas GI, Labeas G 2011 Numerical modelling of shot peening process and corresponding products:
Residual stress, surface roughness and cold work prediction Surf Coatings Technol.
[25] Maleki E, Unal O, Reza Kashyzadeh K 2019 Efficiency Analysis of Shot Peening Parameters on Variations
of Hardness, Grain Size and Residual Stress via Taguchi Approach Met Mater Int.
