Assessment of Machining Cost for End-Milling of Ti-6Al-4V Titanium Alloy through RSM-Based Parametric Model

Article Preview

Abstract:

Past few decades have been marked by significant achievements in the development of cutting tools and machining processes. End-milling operation with Polycrystalline Diamond (PCD) cutting tool insert presents a good technical solution for machining difficult-to-cut materials. However, the cost of each technical or technological solution is a major concern in the decision making process. It is quite common for a solution developer to encounter a question like How much will this new method cost before proceeding for implementation. PCD insert applied as a cutting tool is a recent development and evaluation of economic performance of this cutting tool insert in end-milling of a-difficult-to-cut material such as Ti-6Al-4V titanium alloy can be of significant importance to the manufacturer. However, cost economy depends significantly on the correct choice of cutting conditions especially in the context of cutting parameters. To determine the economically desired levels of the cutting parameters for PCD insert to end-mill Titanium alloy we have presented a RSM-based mathematical model which would help to estimate the cost of removing unit volume of material and to find out the optimum cutting conditions leading to minimum machining cost.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

83-89

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] P. P. Datta, R. Roy, Cost Modeling Techniques for Availability Type Service Support Contracts: a Literature Review and Empirical Study, CIRP IPS2 Conference. (2009).

DOI: 10.1016/j.cirpj.2010.07.003

Google Scholar

[2] Charles A.T., A Bottoms-up approach to cost estimation using parametric inputs, Master's Dissertation, College of Engineering and Technology of Ohio University. (2006).

Google Scholar

[3] Norman L. Peters, Parametric Cost Estimation for Amphibious Assault Vehicle's Life Cycle Costs, Master's Dissertation, Naval Postgraduate School. (1991).

Google Scholar

[4] A.R. Rao, A.J. Kean, J.P. Scanlan, A cost based methodology for design optimization, International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. 2005, USA.

Google Scholar

[5] Mohamed Elhadie, A. N. Mustafizul Karim, A. K. M. Nurul Amin, Cost Model for End-Milling of AISI D2 Tool Steel, National Postgraduate Conference (NPC), Kuala Lumpur, Malaysia, IEEE. 2011, DOI: 10. 1109/NatPC. 2011. 6136403.

DOI: 10.1109/natpc.2011.6136403

Google Scholar

[6] Mohamed Elhadie, A. N. Mustafizul Karim, A. K. M. Nurul Amin, M. A. Lajis, Development of Mathematical Cost Model for Room Temperature End-milling of AISI D2 Tool Steel, Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia. January 22 – 24, (2011).

DOI: 10.1109/natpc.2011.6136403

Google Scholar

[7] F. H'mida, P. Martin, F. Vernadat, Cost estimation in mechanical production: The Cost Entity approach applied to integrated product engineering, Int. J. Production Economics. 103: 1 (2006) 17–35.

DOI: 10.1016/j.ijpe.2005.02.016

Google Scholar

[8] M. Ozbayrak, M. Akgun, A.K. Turker, Activity-based cost estimation in a push/pull advanced manufacturing system, Int. J. Production Economics. 87: 1 (2004) 49–65.

DOI: 10.1016/s0925-5273(03)00067-7

Google Scholar

[9] S. Cavalieri, P. Maccarrone, R. Pinto, Parametric VS. Neural Network models for the estimation of production costs: A case study in the automotive industry, Int. J. Production Economics. 91 (2004) 165–177.

DOI: 10.1016/j.ijpe.2003.08.005

Google Scholar

[10] C. Vila, H.R. Siller, C.A. Rodriguez, G.M. Bruscas, J. Serrano, Economical and technological study of surface grinding versus face milling in hardened AISI D3 steel machining operations, International Journal of Production Economics. 138: 2 ( 2012) 273–283.

DOI: 10.1016/j.ijpe.2012.03.028

Google Scholar

[11] E.M. Shehab, H.S. Abdalla, Manufacturing cost modeling for concurrent product development, Robotics and Computer Integrated Manufacturing. 17: 4 (2001) 341-353.

DOI: 10.1016/s0736-5845(01)00009-6

Google Scholar

[12] Turnad L.G., Improved Machinability of Titanium Alloy TI-6Al-4V Through Work piece Preheating, Doctoral Dissertation, IIUM, Kuala Lumpur (2010).

Google Scholar