Product and Process Tolerance Allocation in Multistation Compliant Assembly Using Analytical Target Cascading

Zhijun Li1, Michael Kokkolaras1, Panos Y. Papalambros1, S. Jack Hu1
1Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, MI 48109-2125

Tóm tắt

Abstract Tolerance allocation is the process of determining allowable dimensional variations in products (parts and subassemblies) and processes (fixtures and tools) in order to meet final assembly quality and cost targets. Traditionally, tolerance allocation is conducted by solving a single optimization problem. This "all-in-one" (AIO) approach may not be desirable or applicable for various reasons: the assembler of the final product may not have access to models and∕or data to compute appropriate tolerance values for all subassemblies and parts in the case of outsourcing; optimization algorithms may face numerical difficulties when solving very large-scale, simulation-based nonlinear problems; interactions are often obscured in AIO models and trade-offs may not be quantifiable readily. This paper models multistation compliant assembly as a hierarchical multilevel process and proposes the application of analytical target cascading for formulating and solving the tolerance allocation problem. Final product quality and cost targets are translated into tolerance specifications for incoming parts, subassemblies, and station fixtures. The proposed methodology is demonstrated using a vehicle side frame assembly example. Both quality- and cost-driven tolerance allocation problems are formulated. A parametric study with respect to budget is conducted to quantify the cost-quality trade-off. We believe that the proposed multilevel optimization methodology constitutes a valuable new paradigm for tolerance design in multistation assembly involving a large number of parts and stations, and creates research opportunities in this area.

Từ khóa


Tài liệu tham khảo

Spotts, Allocation of Tolerances to Minimize Cost of Assembly, ASME J. Eng. Ind., 95, 762, 10.1115/1.3438222

Lee, Optimum Selection of Discrete Tolerance, ASME J. Mech., Transm., Autom. Des., 111, 243, 10.1115/1.3258990

Chase, Least Cost Tolerance Allocation for Mechanical Assemblies With Automated Process Selection, Manuf. Rev., 3, 49

Zhang, The Discrete Tolerance Optimization Problem, Manuf. Rev., 6, 60

Chase, K. W. , 1999, “Tolerance Allocation Methods for Designers,” Department of Mechanical Engineering, Brigham Young University, ADCATS Report.

Choi, Optimal Tolerance Allocation With Loss Functions, ASME J. Manuf. Sci. Eng., 122, 529, 10.1115/1.1285918

Hong, A Comprehensive Review of Tolerancing Research, Int. J. Prod. Res., 40, 2425, 10.1080/00207540210128242

Zhang, Advanced Tolerancing Techniques

Ding, Process-Oriented Tolerance Synthesis for Multi-station Manufacturing Systems, Proceedings of the ASME International Mechanical Engineering Congress and Exposition, 15

Ding, Y. , 2001, “Modeling and Analysis of Stream of Variation in Multistage Manufacturing Processes,” Ph.D. thesis, University of Michigan, Ann Arbor.

Ding, Process-Oriented Tolerancing for Multi-station Assembly Systems, IIE Trans., 37, 493, 10.1080/07408170490507774

Takezawa, An Improved Method for Establishing the Process-Wise Quality Standard, Reports of Statistical Application Research, Union of Japanese Scientists, and Engineers, 27, 63

Liu, Tolerance Analysis for Sheet Metal Assemblies, ASME J. Mech. Des., 118, 62, 10.1115/1.2826857

Merkley, K. G. , 1998, “Tolerance Analysis of Compliant Assemblies,” Ph.D. thesis, Department of Mechanical Engineering, Brigham Young University, Provo.

Sellem, Tolerance Analysis of Deformable Assemblies, Proceedings of the ASME Design Engineering Technical Conferences, 10.1115/DETC98/DAC-5571

Bihlmaier, B. F. , 1999, “Tolerance Analysis of Flexible Assemblies Using Finite Element and Spectral Analysis,” Master’s thesis, Department of Mechanical Engineering, Brigham Young University, Provo.

Shiu, Flexible Beam-Based Modeling of Sheet Metal Assembly for Dimensional Control, Trans. NAMRI/SME, 24, 49

Shiu, Tolerance Allocation for Compliant Beam Structure Assemblies, IIE Trans., 35, 329, 10.1080/07408170304376

Liu, Variation Simulation for Deformable Sheet Metal Assemblies Using Finite Element Methods, ASME J. Manuf. Sci. Eng., 119, 368, 10.1115/1.2831115

Jin, State Space Modeling of Sheet Metal Assembly for Dimensional Control, ASME J. Manuf. Sci. Eng., 121, 756, 10.1115/1.2833137

Camelio, Modeling Variation Propagation of Multi-Station Assembly Systems With Compliant Parts, ASME J. Mech. Des., 125, 673, 10.1115/1.1631574

Hu, Variation Analysis for Compliant Assembly, Proceedings of ASME Manufacturing Engineering Division, 31

Camelio, Compliant Assembly Variation Analysis Based on Geometric Covariance, ASME J. Manuf. Sci. Eng., 126, 355, 10.1115/1.1644553

Hu, S. J., and Wu, S. M., 1992, “Identifying Sources of Variation in Automobile Body Assembly Using Principal Component Analysis,” Trans. NAMRI/SME1047-3025, pp. 311–316.

Kalpakjian, Manufacturing Processes for Engineering Materials, 3rd ed.

Speckhart, Calculation of Tolerance Based on a Minimum Cost Approach, ASME J. Eng. Ind., 94, 447, 10.1115/1.3428175

Wu, Evaluation of Cost-Tolerance Algorithms for Design Tolerance Analysis and Synthesis, Manuf. Rev., 1, 168

Wilde, Minimum Exponential Cost Allocation of Sure-Fit Tolerances, ASME J. Eng. Ind., 97, 1395, 10.1115/1.3438796

Sutherland, Mechanism Design: Accounting for Manufacturing Tolerance and Costs in Function Generating Problems, ASME J. Eng. Ind., 97, 283, 10.1115/1.3438551

Ostwald, A Method for Optimal Tolerance Selection, ASME J. Eng. Ind., 99, 558, 10.1115/1.3439279

Kim, Target Cascading in Optimal System Design, ASME J. Mech. Des., 125, 474, 10.1115/1.1582501

Kim, Target Cascading in Vehicle Redesign: A Class VI Truck Study, Int. J. Veh. Des., 29, 199, 10.1504/IJVD.2002.002010

Kokkolaras, Extension of the Target Cascading Formulation to the Design of Product Families, Struct. Multidiscip. Optim., 24, 293, 10.1007/s00158-002-0240-0

Kim, Analytical Target Cascading in Automotive Vehicle Design, ASME J. Mech. Des., 125, 481, 10.1115/1.1586308

Choudhary, Analytic Target Cascading in Simulation-Based Building Design, Autom. Constr., 14, 551, 10.1016/j.autcon.2004.11.004

Michalek, Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading, Journal of Product Innovation Management, 22, 42, 10.1111/j.0737-6782.2005.00102.x

Michelena, Convergence Properties of Analytical Target Cascading, AIAA J., 41, 897, 10.2514/2.2025