CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization

P. W. Anggoro; A. A. Anthony; B. Bawono; J. Jamari; A. P. Bayuseno; M. Tauviqirrahman; A. Nugroho

doi:10.15282/jmes.13.3.2019.10.0436

Authors

P. W. Anggoro Department of Industrial Engineering, Faculty of Industrial Technology, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta 55281, Indonesia, Phone :+62-857 294 99 575
A. A. Anthony Department of Industrial Engineering, Faculty of Industrial Technology, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta 55281, Indonesia, Phone :+62-857 294 99 575
B. Bawono Department of Industrial Engineering, Faculty of Industrial Technology, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta 55281, Indonesia, Phone :+62-857 294 99 575
J. Jamari Department of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang 50275, Indonesia
A. P. Bayuseno Department of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang 50275, Indonesia
M. Tauviqirrahman Department of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang 50275, Indonesia
A. Nugroho PUTP Politeknik ATMI Surakarta, Jl. Kyai Mojo 1, Surakarta, Central Java, Indonesia

DOI:

https://doi.org/10.15282/jmes.13.3.2019.10.0436

Keywords:

EVA foam, CNC milling, RSM, Taguchi, Surface roughness, Optimization

Abstract

CNC milling strategy of EVA foam with varying hardness to provide a high degree of surface roughness of orthotic shoe insoles is presented in this work. Machining parameters (tool path strategy, spindle speed, feed rate, and step over) in addition to hardness material and wide tolerance insoles were optimized using a hybrid approach of Taguchi-Response Surface Methodology (TM-RSM). The aim of this research was to develop mathematical models and determine the optimum machining parameters which could be applied for the CNC milling of EVA foam as the insoles. Experiments were performed on a CNC milling machine with a standard milling cutter and run under dry coolants. The effects of the six parameters on the average values of surface roughness were initially analyzed by an S/N ratio of TM. Optimal conditions were established from the TM and then used to determine the optimum values in RSM modeling. The final results indicate the significant improvement of percentages (0.24% and 4.13%) in the surface roughness of the insoles obtained with TM-RSM as compared to the TM analysis. It is envisaged the present study would add to the understanding of production for orthotic shoe insoles through CNC milling.

References

Shimazaki Y, Inoue T, Nozu S. Shock-absorption properties of functionally graded EVA laminates for footwear design. Polymer Testing. 2016;54:98-103.

Hawke F, du Toit V, Burns J, Radford JA. Custom-made foot orthoses for the treatment of foot pain (Review). Published by John Wiley & Sons, Ltd. 2008.

Boulton AJ, Krisner RS, Vileikyte L. Clinical practice. Neuropathic diabetic foot ulcers. The new england journal of medicine. 2004;351:48-55.

Ghassemi A, Karimi MT, Mossayebi AR, Jamshidi N, Naemi R. Manufacturing and finite element assessment of a novel pressure reducing insole for Diabetic Neuropathic patients. Australasian Physical & Engineering Sciences in Medicine. 2014;38(1):63–70.

Matricali GA, Mathieu C, Dereymaeker G, Muls E, Flour M. Economic aspects of diabetic foot care in a multidisciplinary setting: a review. Diabetes/Metabolism Research & Reviews. 2007 Jul;23(5):339-47.

Landorf K, Keenan AM, Rushworth RL. Foot orthosis prescription habits of australian and new Zealand podiatric physicians, Journal of American Podiatric Medical Association. 2001;91(4):174-183.

Dombroski CE, Balsdon MER, Froats A. The use of a low cost 3D scanning and printing tool in the manufacture of custom-made foot orthoses: A preliminary study. BMC Research Notes. 2014;7:443-447.

Qiu TX, Teo EC, Yan YB, Lei W. Finite element modeling of a 3D coupled foot-boot model. Medical Engineering Physics. 2011;33:1228-1237.

Berry C, Wang H, Jack Hu S. Product architecting for personalization. Journal of Manufacturing Systems. 2013;32(3):404-411.

Vicenzino B. Foot orthotics in the treatment of lower limb conditions: a musculoskeletal physiotherapy perspective. Manual Therapy. 2004;9:185-192.

Ye X, Liu H, Chen L, Chen Z, Pan X, Zhang S. Reverse innovative design- an integrated product design methodology. Computer-Aided Design. 2008;40: 812-820.

Jeng YR, Yau HT , Liu DS. Designing experimental methods to predict the expansion ratio of EVA foam material and using finite element simulation to estimate the shoe expansion shape. Material Transaction. 2012;53:1685-1688.

Xia, Z. Application of Reverse Engineering based on Computer in Product Design, International Journal of Multimedia and Ubiquitous Engineering. 2014;9:343-353.

Munro W. Orthotic prescription process for the diabetic foot. The Diabetic Foot. 2005;8:72-82.

Li Y, Falk B, Linke BS, Voet H, Schmitt R, Lam M. Cost, sustainability and surface roughness quality – A comprehensive analysis of products made with personal 3D printers. CIRP Journal of Manufacturing Science and Technology. 2017;16:1-21.

Salles AS, Gyi DE. The specification of personalised insoles using additive manufacturing. Work. 2012;41(1):1771–1774.

Creylman V, Pallari J, Peeraer L, Muraru L, Vertommen H. Gait assessment during the initial fitting of customized selective laser sintering ankle foot orthoses in subjects with drop foot. Prosthetics and orthotics international. 2013 April;37(2):132-138.

Faustini MC, Stanhope SJ, Crawford RH, Neptune RR. Manufacture of passive dynamic ankle-foot orthoses using selective laser sintering. IEEE Transactions on Biomedical Engineering. 2008; 55(2 Pt 1):784-790.

Schrank ES, Stanhope SJ, Hitch L, Wallace K, Moore R. Assessment of a virtual functional prototyping process for the rapid manufacture of passive-dynamic ankle-foot orthoses. Journal Biomechanic Engineering. 2013;135:101011-101017.

Pallari JH, Dalgarn KW, Woodburn J. Mass customization of foot orthoses for rheumatoid arthritis using selective laser sintering. IEEE Transaction Biomedical Engineering. 2010;57:1750 -1756.

Salles AS, Gyi DE. An evaluation of personalised insoles developed using additive manufacturing. Journal Sports Science. 2013;31:442–450.

Roy RK. A Primer on the Taguchi Method. Van Nostrand Reinhold. New York. USA. (1990).

Sarıkaya M, Güllü A. Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL. Journal Cleaner Production. 2014;65:604-616.

Nurit ET, Ety W, Yifat HF, Amit G. Role of EVA viscoelastic properties in the protective performance of a sport shoe: Computational studies. Journal Bio-Medical & Material Engineering. 2006;16:289-299.

Myers RH, Montgomery DC, Anderson-Cook CM. Process and Product Optimization Using Designed Experiments. third ed. John Wiley & Sons. New York. USA. 2009.

Yadav RN. A hybrid approach of Taguchi-RSM for modeling and optimization of duplex turning process. Measurement. 2017;100:131-138.

Montgomery DC. Design Analysis of Experiments, 8th ed. John Wiley & Sons, New York, USA. 2013.

Hanafi I, Almansa E, Khamlichi A, Jabbouri A, Cabrera FM. Optimization of cutting conditions for sustainable machining of PEEK-CF0 using TiN tools. Journal Cleaner Production. 2012;33:1-9.

Anggoro PW, Bawono B, Jamari J, Bayuseno AP. Parameter Optimization of strategies at CNC Milling Rolland Modela MDX 40R CAM made insole shoe orthotic EVA foam. International Journal of Mechatronic & Mechanical Engineering. 2016; 6:96-106.

Asiltürk I, Nesseli S. The multiresponse optimization of CNC turning parameters with Taguchi method-based response surface analysis. Measurement. 2012; 45:785–794.

Chabbi A, Mabrouki T, Yallese MA, Nouioua M, Meddour I. Modeling and optimization of turning process parameters during the cutting of polymer (POM C) based on RSM, ANN, and DF methods. The International Journal of Advanced Manufacturing Technology. 2017;91(issue 5-8):2267–2290.

Janisse DJ, Janisse EJ. Pedorthic and orthotic management of the diabetic foot. Foot Ankle Clinic. 2006;11:717-734.

Sait AN, Aravindan S, Haq AN. Optimization of machining parameters of glassefibre-reinforce plastics analysis using Taguchi technique. International Journal Advanced Manufacturing Technology. 2009;43:581-589.

Xavior MA, Adithan M. Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. Journal of Materials Processing Technology. 2009;209:900-909.

Anggoro PW, Bawono B, Tauviqirrahman M, Jamari J, Bayuseno AP, Wicaksono A. Reverse innovative design of insole shoe orthotic for diabetic patients. Journal of Engineering and Applied Sciences. 2019; 14(1):106-113.