Engineered-Based Machining Parameters Analysis for Aircraft Structural Parts

Abstract:

Modern aircraft structures need to be further integrated and parts to be enlarged, the structural parts which require high accuracy of size, shape, and good deformed surface finish, so digital machining process has become key technology in aviation industry. Machining parameters selection is an important phase of machining process, it has very important influence on the dimensional quality of an aircraft structural part. This paper develops a methodology to get an optimal machining parameters in an aircraft structural part machining process, which can satisfies the quality specifications and minimizes the expected value of the sum of machining costs at the same time. An engineered-based model is adopted to describe the machining process of aircraft structural part firstly and then a quantitative machining parameter evaluation methods driven by cost constraint is proposed, an optimal machining parameter is obtained through a computer experiment model which can explore a large number of machining process parameter alternatives. At last, we illustrate the validity and the significance of the engineered-based machining parameters analysis method for aircraft structural parts by a case study. The results have shown that the proposed method could significantly increase the efficiency of aircraft structural parts machining process.

• Periodical: Applied Mechanics and Materials (Volume 721)
• Pages: 109-112
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.721.109
• Online since: December 2014
• Authors: Fang Zhu, Xiong Fei Huang, Li Jun Meng
• Keywords: Aircraft Structural Part, Cost Constraint, Engineered Model, Machining Parameters

References

[1] H.C. Wu and T.C. Chang. Automated Setup Selection in Feature-Based Process Planning. International Journal of Production Research, 1998, Vol. 36, No. 9, pp.2325-2341.

[2] Del Castillo. E., Pan. R and B.M. Colosimo: A unifying view of some process adjustment method. Journal of Quality Technology, 2003, Vol. 35, pp.286-293.

DOI: 10.1080/00224065.2003.11980222

[3] Wang,H. and Huang,Q. Using error equivalence concept to automatically adjust discrete manufacturing processes for dimensional variation control, ASME Transactions, Journal of Manufacturing Science and Technology, 2007, Vol. 129 (2), pp.644-652.

DOI: 10.1115/1.2714581

[4] Thavanrath Chaipradabgiat, Jionghua Jin and Jianjun Shi. Optimal fixture locator adjustment strategies for multi-station assembly processes. IIE Transactions, 2009, 41, pp.843-852.

DOI: 10.1080/07408170902806870

[5] Lian, Z. and Del Castillo, E. Setup adjustment under unknown process parameters and fixed adjustment cost. Journal of Statistical Planning and Inference, (2006).

DOI: 10.1016/j.jspi.2004.09.001