Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Tolerance Design Approach to Manufacturing and Quality Loss Cost Optimization in Mechanical Assemblies


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireme.v11i9.11794

Abstract


Tolerance design has a profound impact on the manufacturability, ease of assembly, performance, quality and cost of mechanical components. However, assigning appropriate tolerances is still far from being a trivial engineering task. The optimization of dimensional and geometric tolerances for components that control functional dimensions in mechanical assemblies is receiving continuous attention from researchers. In this paper a novel tolerance design approach is introduced. The basic concept of the proposed approach is the transformation of an unconstrained optimization problem of multiple decision variables to a constrained optimization problem of a single variable in order to improve the convexity of the set of feasible solutions. Through the development of a Quasi-Newton algorithm, our objective is the optimization of both the manufacturing cost of each component and the quality loss cost of the mechanical assembly. A step-by-step mathematical formulation of the approach is presented by using the widely referenced example of the overrunning clutch assembly. The experimental results obtained for this application example are directly compared with alternative tolerance synthesis techniques that are found in technical literature, illustrating that the proposed approach is reasonable and effective.
Copyright © 2017 Praise Worthy Prize - All rights reserved.

Keywords


Manufacturing Cost; Optimization; Quality Loss; Tolerance Design

Full Text:

PDF


References


Leopoulos, V., Kaisarlis, G., Chatzistelios, G., Design and Implementation of an Interlaboratory Comparison Process for Task – Specific CMM Measurements, (2014) International Review of Mechanical Engineering (IREME), 8 (3), pp. 517-523.

G. Kaisarlis, A Systematic Approach for Geometrical and Dimensional Tolerancing in Reverse Engineering, In A.C. Telea (Ed.), Reverse Engineering - Recent Advances and Applications, 7 (Rijeka: InTech, 2012, 133 – 160).
http://dx.doi.org/10.5772/32001

P. K. Singh, P. K. Jain and S. C. Jain, Important issues in tolerance design of mechanical assemblies. Part 2: Tolerance Synthesis, Proc. IMechE, Part B: J. Engineering Manufacture, Vol. 223, pp. 1225-1247, 2009.
http://dx.doi.org/10.1243/09544054jem1304a

G. Stathakis, Blind System Equalisation and Identification Using Novel Optimisation Techniques, PhD dissertation, Dept. Electrical and Electronic Eng., Imperial College, Univ. of London, London, 2001.

G. Stathakis and T. Stathaki, Two dimensional Volterra parameter estimation using a zero tolerance optimisation formulation, Proc. 2000 Int. Conf. on Image Processing, Vancouver, BC, Canada, 2000, Vol.1, pp. 288-291.
http://dx.doi.org/10.1109/icip.2000.900951

G. Stathakis, A. Constantinides, T. Stathaki, Adaptive volterra parameter estimation using a zero tolerance optimisation formulation, Proc. EUSIPCO 2000 – 10th European Signal Processing Conf., Tampere, Finland, 2000, pp. 1-4.
http://dx.doi.org/10.1109/icip.2000.900951

G. Stathakis and T. Stathaki, Two dimensional Volterra signal modelling using a zero tolerance optimisation formulation, Proc. Euroimage – ICAV3D 2001 Int. Conf. on Augmented, Virtual Environments and 3D Imaging, Mykonos, Greece, 2001, pp. 1-4.
http://dx.doi.org/10.1109/icip.2000.900951

G. Stathakis, A. Constantinides, T. Stathaki, Blind signal recovery using a novel system identification approach, Proc. Int Conf. Digital Signal Processing - DSP2002, Santorini, Greece, 2002, pp. 1-4.
http://dx.doi.org/10.1109/icdsp.2002.1028203

B. K. A. Ngoi and C. T. Ong, Product and process dimensioning and tolerancing techniques: a state-of the-art review, Int. J. Advd Mfg Technol., Vol. 14, pp. 910–917, 1998.
http://dx.doi.org/10.1007/bf01179081

Y. S. Hong and T. C. Chang, A Comprehensive Review of Tolerancing Research, Int. J. Prod. Res., Vol. 40, n. 11, pp. 2425–2459, 2002.
http://dx.doi.org/10.1080/00207540210128242

P. K. Singh, P. K. Jain and S. C. Jain, Important issues in tolerance design of mechanical assemblies. Part 1: Tolerance Analysis, Proc. IMechE, Part B: J. Engineering Manufacture, Vol. 223, pp. 1249-1287, 2009.
http://dx.doi.org/10.1243/09544054jem1304b

S. Karmakar and J. Maiti, A review on dimensional tolerance synthesis: paradigm shift from product to process, Assembly Automation, Vol. 32, n. 4, pp. 373 - 388, 2012.
http://dx.doi.org/10.1108/01445151211262438

E. Zahara, and Y.-T. Kao, A hybridized approach to optimal tolerance synthesis of clutch assembly, Int. J. Advd Mfg Technol., Vol. 40, pp. 1118–1124, 2009.
http://dx.doi.org/10.1007/s00170-008-1418-4

P. F. Ostwald and J. Huang, A method for optimal tolerance selection, Trans. ASME, J. Engng for Industry, Vol. 99, n. 2, 558–565, 1977.
http://dx.doi.org/10.1115/1.3439448

W. Michael and J. N. Siddall, The optimization problem with optimal tolerance assignment and full acceptance, Trans. ASME, J. Mech. Des., Vol. 103, pp. 842–848, 1981.
http://dx.doi.org/10.1115/1.3254996

W. Michael and J. N. Siddall, The optimal tolerance assignment with less than full acceptance. Trans. ASME, J. Mech. Des., Vol. 104, pp. 855–860, 1982.
http://dx.doi.org/10.1115/1.3256448

G. Taguchi, E. Elsayed, and T. Hsiang, Quality engineering in production systems, (New York: McGraw Hill, 1989).
http://dx.doi.org/10.2307/1270138

C. M. Creveling, Tolerance Design: A Handbook for Developing Optimal Specifications, (Reading: Addison Wesley, 1997).
http://dx.doi.org/10.2307/1271397

W. J. Lee and T. C. Woo, Optimum selection of discrete tolerances, Trans ASME, J. Mechanism, Transmission and Autom. Des., Vol. 111, pp. 243–251, 1989.
http://dx.doi.org/10.1115/1.3258990

C. X. Feng and A. Kusiak, Robust tolerance design with the integer programming approach, Trans ASME, J. Mfng Sci. Engng, Vol. 119, pp. 603–610, 1997.
http://dx.doi.org/10.1115/1.2831193

C. C. Wu, Z. Chen and G. R. Tang, Component tolerance design for minimum quality loss and manufacturing cost, Computers in Industry, Vol. 35, pp. 223 – 232, 1998.
http://dx.doi.org/10.1016/s0166-3615(97)00087-0

D. B. Parkinson, The application of robust design method to tolerancing, Trans. ASME, J. Mech. Des., Vol. 122, pp. 149–154, 2000.
http://dx.doi.org/10.1115/1.533564

J. Lööf, T. Hermansson and R. Söderberg, An efficient solution to the discrete Least-Cost tolerance allocation problem with general loss functions, In J. K. Davidson (Ed.) Models for Computer Aided Tolerancing in Design and Manufacturing, (New York: Springer, 2007, pp. 115–124).
http://dx.doi.org/10.1007/1-4020-5438-6_13

C. Zhang and H. Wang, Integrated tolerance optimization with simulated annealing, Int. J. Advd Mfg Technol., Vol. 8, pp. 167–174, 1993.
http://dx.doi.org/10.1007/bf01749907

P. Kopardekar and S. Aanand, Tolerance allocation using neural networks. Int. J. Advd Mfg Technol., Vol. 10, pp. 269–276, 1995.
http://dx.doi.org/10.1007/bf01186878

S. Ji, X. Li, Y. Ma, and H. Cai, Optimal tolerance allocation based on fuzzy comprehensive evaluation and genetic algorithm. Int. J. Advd Mfg Technol., Vol. 16, pp. 461–468, 2000.
http://dx.doi.org/10.1007/s001700070053

P. K. Singh, P. K. Jain and S. C. Jain, Comparative study of genetic algorithm and simulated annealing for optimal tolerance design formulated with discrete and continuous variables, Proc. IMechE, Part B: J. Engineering Manufacture, Vol. 219, pp. 735-760, 2005.
http://dx.doi.org/10.1243/095440505x32643

A. Noorul Haq, K. Sivakumar, R. Saravanan and V. Muthiah, Tolerance design optimization of machine elements using genetic algorithm, Int. J. Advd Mfg Technol., Vol. 25, n. 3, pp. 385–391, 2005.
http://dx.doi.org/10.1007/s00170-003-1855-z

A. Noorul Haq, K. Sivakumar, R. Saravanan and K. Karthikeyan, Particle swarm optimization (PSO) algorithm for optimal machining allocation of clutch assembly, Int. J. Advd Mfg Technol., Vol. 27, pp. 865–869, 2006.
http://dx.doi.org/10.1007/s00170-004-2274-5

R. Bowman, Efficient Gradient-Based Tolerance Optimization using Monte Carlo Simulation, Trans ASME, J. Mfng Science and Engng, Vol. 131, n. 3, pp. 1-8, 2009.
http://dx.doi.org/10.1115/1.3123328

F. Wu, J.-Y. Dantan, A. Etienne, A. Siadat and P. Martin, Improved algorithm for tolerance allocation based on Monte Carlo simulation and discrete optimization, Computers and Ind. Engng, Vol. 56, pp. 1402–1413, 2009.
http://dx.doi.org/10.1016/j.cie.2008.09.005

S.-G. Liu, Q. Jin, C. Liu and R.-J. Xie, Analytical method for optimal component tolerances based on manufacturing cost and quality loss, Proc. IMechE, Part B: J. Engineering Manufacture, Vol. 227, n. 10, pp. 1484-1491, 2013.
http://dx.doi.org/10.1177/0954405413488769

R.V. Rao and K.C. More, Advanced optimal tolerance design of machine elements using teaching-learning-based optimization algorithm, Production & Manufacturing Research, Vol. 2, n.1, pp. 71-94, 2014.
http://dx.doi.org/10.1016/j.energy.2014.12.008

L. Ramesh Kumar, K. P. Padmanaban, S. Ganesh Kumar and C. Balamurugan, Design and optimization of concurrent tolerance in mechanical assemblies using bat algorithm, Journal of Mechanical Science and Technology, Vol. 30, n. 6, pp. 2601-2614, 2016.
http://dx.doi.org/10.1007/s12206-016-0521-y

E. Fortini, Dimensioning for Interchangeable Manufacture, (New York: Industrial Press, 1967).

L. dos Santos Coelho, Self-organizing migration algorithm applied to machining allocation of clutch assembly, Mathematics and Computers in Simulation, Vol. 80, pp. 427–435, 2009.
http://dx.doi.org/10.1016/j.matcom.2009.08.003

S. P. Han, Superlinearly Convergent Variable Metric Algorithms for General Nonlinear Programming Problems, Mathematical Programming, Vol. 11, pp. 263-282, 1976.
http://dx.doi.org/10.1007/bf01580395

K. Madsen and H. Schjaer-Jacobsen, Singularities in Minimax Optimisation of Networks, IEEE Trans. On Circuits and Systems, Vol. 23, n. 7, 456-460, 1976.
http://dx.doi.org/10.1109/tcs.1976.1084240

P. E. Gill, W. Murray and M. H. Wright, Practical Optimisation, (London: Academic Press, 1997).

W. Murray, Numerical Methods for Unconstrained Optimisation, (London: Academic Press, 1972).

M. J.-D. Powell, Problems Relating to Unconstrained Optimisation, In W. Murray (Ed.), Numerical Methods for Unconstrained Optimisation, (London: Academic Press, 1972, pp. 29-55).
http://dx.doi.org/10.1007/978-1-84628-282-9_104


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize