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Tolerance Synthesis and Cost Optimisation in Assembly: A Neural Network Approach

Karthick Jayaram*, K. Sankaranarayanasamy**, Subramaniam Arunachalam***, Tom Page****

*Research Scholar, Department of Mechanical Engineering, National Institute of Technology, Tlruchirappalli, India.

** Professor, Department of Mechanical Engineering, NIT, Trichy.

*** Senior Lecturer, Manufacturing Systems Engineering, University of East London, UK.

**** Lecturer In Electronic Product Design, Department of Design and Technology, Loughborough University, UK.

Periodicity:May - July'2008
DOI : https://doi.org/10.26634/jfet.3.4.608

Abstract

Tolerance synthesis directly influences the functionality of products and their related production costs. The problem of synthesis is to discretise tolerances without affecting functionality of a product. A promising method of tolerance synthesis is to assign component tolerances that minimize the cost of production of an assembly. In this paper the neural network is applied to fit the cost-tolerance relationship. The neural network has been reported to be an effective tool for determining the relationship between input factor and output responses. The available case studies in the literature for the tolerance synthesis are used to investigate the efficiency and effectiveness of the proposed methodology.

Keywords

Multi-layer Perceptron, Artificial Neural Networks, Tolerance Synthesis, Cost-tolerance Relationship, Regression Analysis.

How to Cite this Article?

Karthick Jayaram, K. Sankaranarayanasamy, S. Arunachalam and Tom Page (2008). Tolerance Synthesis and Cost Optimisation in Assembly: A Neural Network Approach. i-manager’s Journal on Future Engineering and Technology, 3(4), 62-69. https://doi.org/10.26634/jfet.3.4.608

References

[1]. Chase, K. H., Greenwood, W. H., Loosli, B. G., and Haugland, L. F. (1990), Least Cost Tolerance Allocation for Mechanical Assemblies with Automated Process Selection, Manuf. Rev,, 3(1), pp. 49-59.

[2]. Choi, H.-G. R., Park, M.-H. and Salisbury, E. (2000), Optimal Tolerance Allocation with Loss Function, ASME J. Manuf. Sci. Eng., 122, pp. 273-281.

[3]. Diplaris, S. C. and Sfantsikopoulos, M. M. (2000), Cost-Tolerance Function: A New Approach for Cost Optimum Machining Accuracy, Inf. J. Adv. Manuf. Technol., 16, pp. 32-38.

[4]. Feng, C. X. and Kusiak, A. (2000), Robust Tolerance Design with the Design of Experiments Approach, ASME J. Manuf. Sci. Eng., 122(3), pp. 520-528.

[5]. Hong, Y. S. and Chang, T.C. (2002), A Comprehensive Review of Tolerancing Research, inf. J. Prod. Res., 40(11), pp. 2425-2459.

[6]. Jeang, A. (2002), Optimal Parameter and Tolerance Design with a Complete Inspection Plan, inf. J. Adv. Manuf. Technol., 20(2), pp. 121 -127.

[7]. Jeang, A., and Chang, C.L., (2002), Concurrent Optimisation of Parameter and Tolerance Design via Computer Simulation and Statistical Method, Inf. J. Adv. Manuf. Technol., 19, pp. 432-441.

[8]. Kopardekar, R and Anand, S. (1995), Tolerance allocation using neural networks. International Journal of Advanced MachiningTechnology, 10, pp. 269-276,

[9]. Li, M. H. (2002), Unbalanced Tolerance Design and Manufacturing Setting with Asymmetrical Linear Loss Function, Inf. J. Adv. Manuf. Technol., 20(5), pp. 334-340.

[10]. Ming, X. G. and Mak, K. L. (2001), Intelligent Approaches to Tolerance Allocation and Manufacturing Operations Selection in Process Planning, J. Mater. Process. Technol., 1117, pp. 75-83.

[11]. Spotts, M. F. (1973), Allocation of Tolerances to Minimize Cost of Assembly, ASME J. Eng. Ind., 93, pp. 762-764.

[12]. Wilhelm, R. G. and Lu, S. C.Y. (1990), Tolerance Primitives for Composition and Synthesis, Transactions of the North American Manufacturing Research Institute of SME, pp. 366-370,1990.

[13]. Wu, Z., Elmaraghy, W. H. and Elmaraghy, H. A. (1988), Evaluation of Cost-Tolerance Algorithms for Design Tolerance Analysis and Synthesis, Manuf. Rev., 1, pp. 168179.

[14], Yeo, S. H. Hgoi, B. K. A. and Chen, H. (1996), A Cost- Tolerance Model for Process Sequence Optimization, Inf. J. Adv. Manuf. Technol., 12, pp. 423431.

[15]. Zhang, G. (1997), Simultaneous Tolerancing for Design and Manufacturing, Advanced Tolerancing Techniques, H. C. Zhang, ed., Wiley, New York, pp. 207-231.

[16]. Zhang, C. and Wang, H. R (1993), Optimal Process Sequence Selection and Manufacturing Tolerance Allocation, J. Design Manuf. Autom., 3, pp. 135-146.

Tolerance Synthesis and Cost Optimisation in Assembly: A Neural Network Approach

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