Development of Process Model for Optimal Selection of Process Parameters for Geometric Tolerances and Surface Roughness in Stereolithography
الموضوعات :Chockalingam Kunjan 1 , Jawahar N. 2 , Chandrasekhar U. 3 , Praveen J. 4 , Karthic M. 5
1 - Thiagarajar college of Engineering, Madurai-15, Tamilnadu, India
2 - Thiagarajar college of Engineering, Madurai-15, Tamilnadu, India
3 - Vel Tech university, Chennai-85, India
4 - Thiagarajar college of Engineering, Madurai-15, Tamilnadu, India
5 - Thiagarajar college of Engineering, Madurai-15, Tamilnadu, India
الکلمات المفتاحية: Stereolithography, Geometric tolerances, Surface Roughness,
ملخص المقالة :
The accuracy of stereolithography (SL) product is vital for meeting the intended functional applications. The parameters like layer thickness, hatch spacing, hatch overcure contribute significantly to the accuracy of the SL parts. In this paper an attempt has been made to identify the process parameters that influences on the accuracy of the parts made with CIBA TOOL 5530 and optimize the process parameters. A standard test specimen is designed for this study. A process model between the geometric tolerance (parallelism, perpendicularity, angularity, radius fillet), surface roughness and the above mentioned process parameters (layer thickness, hatch spacing, hatch overcure) have been developed. It is found that parallelism, perpendicularity, angularity, radius fillet and surface roughness are influenced significantly by hatch spacing, layer thickness, hatch overcure, hatch spacing and layer thickness respectively. The percentage deviation between the experimental and process model values have also been calculated to validate the developed process model.
[1] Charity Lynn-Charney, David W. Rosen, "Usage of accuracy models in stereolithography process planning", Rapid Prototyping Journal, Vol. 6, 2000, pp.77 – 87.
[2] Cho, H. S., Park, W. S., Cho, B. W., and Leu, M. C., “Determining Optimal Parameters for Stereolithography Processes via Genetic Algorithm”, Journal of Manufacturing Systems, Vol. 1, 2000, pp.18 – 27.
[3] Chockalingam, K., Jawahar, N., Chandrasekhar, U., “Influence of layer thickness on mechanical properties in stereolithography”, Rapid Prototyping Journal, Vol. 2, 2006, pp. 106-113.
[4] Chockalingam, K., Jawahar, N., Chandrasekhar, U., Ramanathan, K. N., “Establishment of process model for part strength in sterelithography”, Journal of Material Processing Technology, Vol. 208, 2008, pp. 348-365.
[5] Chockalingam, K., Jawahar, N., Ramanathan, K. N., Banerjee, P. S., “Optimization of stereolithography process parameters for part strength using design of experiments”, International Journal of Advanced Manufacturing Technology, Vol. 29, 2006, pp.79-88.
[6] Ghani. J. A., Choudhury. I.A., Hassan. H.H., “Application of Taguchi method in the optimization of end milling parameters”, Journal of Materials Processing Technology, Vol. 145, 2004 pp. 84–92.
[7] Hefin. R., Fiju. A., Graeme. K., “An application of experimental design for process optimization“, Rapid Prototyping Journal, Vol. 2, 2000, pp.78-83.
[8] Kang. J., Had Field. M., “Parameter Optimization by Taguchi Methods for Finishing Advanced Ceramics Balls Using a Novel Eccentric Lapping Machine”, Proceedings of institute of mechanical engineers, Vol. 215B, 2001, pp. 69-78.
[9] Koman Durai, R., Jiang, M., “Application of Taguchi Method for Optimization of Finishing Conditions in Magnetic Float Polishing”, Wear, Vol. 213, 1997, pp. 59-71.
[10] Vaezi, M., Safaeian, D., Chua, C. K., “Gas turbine blade manufacturing by use of epoxy resin tooling and silicone rubber molding techniques”, Rapid Prototyping Technology, Vol. 2, 2011, pp.107-115.
[11] Montgomery, D. C., “Design and analysis of experiments”, Third edition, John Wiley & Sons Inc, New York, 2001.
[12] Naga Hanumaiah, B. Ravi, "Rapid tooling form accuracy estimation using region elimination adaptive search based sampling technique", Rapid Prototyping Journal, Vol.13, 2007 pp.182 – 190.
[13] Onuch. S. O., Hon. K. K., “Application of Taguchi method and new style for quality improvement on Stereolithography”, Proceedings of institute of mechanical engineers, Vol. 212(B), 1998, pp. 461-472.
[14] Ratnadeep Paul, Sam Anand, “Optimal part orientation in Rapid Manufacturing process for achieving geometric tolerances”, Journal of Manufacturing Systems, Vol. 30, 2011, pp. 214– 222.
[15] Syrcos, G. P., “Die casting process optimization using Taguchi methods”, Journal of Materials Processing Technology, Vol. 135, 2003, pp. 68–74.
[16] Tosun, N., Cogun, C., Gul. T., “A study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method”, Journal of Materials Processing Technology, Vol. 152(3), 2004, pp. 316-322.
[17] Raju, B.S., Chandra Sekhar, U., Drakshayani, D. N., “Optimizing multiple quality characteristics of Stereolithography process via taguchi method-based grey analysis for SL530 epoxy resin material to enhance of part quality”, Procedia materials science Vol.5, 2014, 2532- 2541.
[18] Rahmati, S., and Ghadami, F., “Process Parameters optimization to improve dimensional accuracy of stereolithography parts”, International journal of Advanced design and maufacturing technology, Vol. 7, 2014, pp. 59-65.
[19] Raju, B. S., Chandra Sekhar, U., Venkateswarlu, K., Drakashayani, D. N., “Extablishment of process model for rapid prototyping technique (stereolithography) to enhance the part quality by taguchi mehod”, Procedia technolgy Vol.14, 2014, 380- 389.
[20] Ross, P., Taguchi Techniques for Quality Engineering Second edition, McGraw Hill, 1996.
[21] Taguchi. G., Introduction to Quality Engineering, Asian productivity organization, Tokyo, 1990.
[22] Chockalingam. K., Jawahar. N., Pakeermohideen. P., Prashad. P., “Evolution of coefficient of stereolithography process – Error relationship”, Proceedings of National conference 21st AIMTDR, Vellore Institute of Technology, Vellore, India. pp: in CD, 2004.
[23] Lee. S. H., Park. W. S., Cho. H. S., Zhang. W., Leu, M. C., “A neural network approach to the Modeling and Analysis of Stereolithography Process”, Proceedings of institute of mechanical engineers, Vol. 215(B): 2001, pp.18 – 27.