# N. Michelena and P. Papalambros, Optimal model-based decomposition of powertrain system design, Trans. ASME, Journal of Mechanical Design, 117:499--505 (1995).  Home/Search   Document Details and Download   Summary   Related Articles   Check

....among the component dimensions. Although this approach does not require detailed component geometry, the product decomposition must be specified a priori by a designer. Graph decomposition (Bosk, 1990) has been applied to mechanical design, such as model based decomposition of design problems (Michelena and Papalambros, 1995), and manufacturing feature recognition (Rosen et al. 1994) Among the most relevant is the application to automatic assembly sequence generation, where a disassembly sequence (assumed to be the reverse of an assembly sequence) is generated by sequential binary decompositions (i.e. cuts) of a ....

N. Michelena and P. Papalambros, 1995, "Optimal model-based decomposition of powertrain system design", ASME Journal of Mechanical Design, 117(4):499-505.

....design productivity which require the creation of a reliable design through concurrent systems analysis in the shortest possible time. Means for improving design productivity vary in the literature. Related to the primary team issue of CE is the decomposition of tasks. Michelena and Papalambros [4] propose to use a modelbased decomposition methodology that would decompose the original design model into smaller coordinated submodels to reduce the size of a complex problem and improve the speed of optimization. Recent years have seen promising applications of advanced computing technologies ....

N. Michelena and P. Papalambros, Optimal Model-Based Decomposition of Powertrain System Design , Trans. ASME, Journal of Mechanical Design, Vol. 117, No. 4, December 1995, pp. 499-505.

.... on the time required to accelerate from 0 to 60 mph for an automobile, for example, are the customer s anticipated preferences, even if the customer has no stated preference on the 0 60 time in particular: the 0 60 time correlates with the average acceleration over the speed range of the engine [37], which in turn correlates with perceived acceleration and 10 p 1 1 p 0 1 6 s 9 s Figure 2.1 Imprecise functional requirement less than 8 seconds . vehicle performance. These issues, which together determine preferences on performance variables, will be referred to as performance ....

N. F. Michelena and P. Y. Papalambros. Optimal model-based decomposition of powertrain system design. In Advances in Design Automation - 1995, volume DE-82, pages 165--172, New York, September 1995. ASME.

....functional requirement less than 8 seconds . an automobile, for example, are the customer s anticipated preferences, even if the customer has no stated preference on the 0 60 mph time in particular: the 0 60 mph time correlates with the average acceleration over the speed range of the engine (Michelena and Papalambros, 1995), which in turn correlates with perceived acceleration and vehicle performance. These issues, which together determine preferences on performance variables, will be referred to as performance considerations. The functional requirement p j (p j ) represents the preference that a customer has ....

Michelena, N. F., and Papalambros, P. Y., 1995, "Optimal Model-Based Decomposition of Powertrain System Design, " In Advances in Design Automation - 1995, Vol. DE82, pp. 165--172 New York. ASME.

....distributed computing should not be penalized heavily by network communication. The distributed design framework, originally proposed by Papalambros et al. 1] facilitates the implementation of a methodology for large scale system design that builds on previous work on design model partitioning [2 4], and coordination [5] Details of the design framework are given in a companion paper in this special issue [6] Within the distributed design and simulation framework, the commercial multibody dynamics program, DADS, was encapsulated, providing the load time histories of a M1 Abrams road arm ....

# N. Michelena and P. Papalambros, Optimal model-based decomposition of powertrain system design, Trans. ASME, Journal of Mechanical Design, 117:499--505 (1995).

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Michelena, N. and Papalambros, P., 1995b, Optimal Model-Based Decomposition of Powertrain System Design , Tech. Report UM-MEAM 95-03, Department of Mechanical Engineering, University of Michigan, Ann Arbor.

....analysis tools should be developed and maintained at different locations while still being used to solve a system problem. The distributed design framework facilitates the implementation of a methodology for large scale system design that builds on previous work on design model partitioning (Michelena and Papalambros, 1995, 1997; Krishnamachari and Papalambros, 1997) and coordination (Nelson and Papalambros, 1997; Michelena et al. 1998) The distributed design framework was originally proposed in Papalambros et al. 1997) 2. Distributed System Design Consider the design of the tracked vehicle shown in Figure 1. ....

....or coupling variables. Model cluster identification should also consider the availability and throughput of the computational resources and the cost of performing the individual analyses. Model partitioning can be formulated as a high level optimization problem and solved using graph partitioning (Michelena and Papalambros, 1995, 1997) or integer programming algorithms (Krishnamachari and Papalambros, 1997) Web based implementations of these approaches can be found at the following URLs: http: arc.engin.umich.edu graph part.html and http: arc.engin.umich.edu ilp part.html. 2.2.2. Distributed Computation Distributing ....

Michelena, N. and Papalambros, P.: 1995, Optimal model-based decomposition of powertrain system design, Trans. ASME, Journal of Mechanical Design, 117(4), 499--505.

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Michelena, N. and Papalambros, P., 1995b, "Optimal Model-Based Decomposition of Powertrain System Design," J. of Mechanical Design, ASME, Vol. 117, No. 4, pp. 499-505.

.... of objective functions so that a partitioned model can be created suitable for coordinated solution [Krishnamachari and Papalambros, 1996] Figure 3 shows an example of a functional dependence table for a vehicle powertrain system model after optimal model based partitioning has been applied [Michelena and Papalambros, 1995]. 4 Unified Geometry Material Databases: Voxel Digital Representation The systems design strategy described so far is usually left as an unrealizable conceptual framework in mechanical design. Geometry and material properties make such systems tightly coupled. Moreover, building analysis ....

Michelena, N. and Papalambros, P., "Optimal Model-Based Decomposition of Powertrain System Design," Trans. ASME J. of Mechanical Design, Vol. 117, No. 4, pp. 499--505, 1995.

....matrix A ff consists of a side block of columns, corresponding to the ff linking variables, and diagonal blocks A ff 1 , A ff 2 , A ff p ff . We assume that the Problem 2. 1 can be decomposed in two or more different ways (say, ff , fi , decompositions) Model based decomposition methods [17, 18] can be used to produce such decompositions as described in Section 2.2. Although the results of this article can be generalized to three or more decompositions, we will consider only two problem decompositions (ff and fi) to simplify notations and proofs. Typically, system design problems ....

N. Michelena and P.Papalambros. Optimal model-based decomposition of powertrain system design. Transactions of the ASME, Journal of Mechanical Design, 117(4):499--505, 1995.

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Michelena, N. and Papalambros, P., 1995b, "Optimal Model-Based Decomposition of Powertrain System Design," J. of Mechanical Design, ASME, Vol. 117, No. 3, pp. 499-505.

....c; 2.1) where f : R n R is convex and differentiable, A is an m Theta n constraint matrix with real entries, x 2 R n is the vector of optimization variables, and c 2 R m is a constant vector. We assume that the above problem has a nonempty solution set. Model based decomposition methods [6, 7] can be applied to Problem 2.1 to obtain two or more distinct (say, ff , fi , fl , decompositions. This involves generating a block angular matrix A ff by reordering the columns and rows of A, and components of x and c, as shown in Figure 1. In Figure 1, x ff is the vector of reordered ....

N. Michelena and P. Papalambros. Optimal model-based decomposition of powertrain system design. Transactions of the ASME, Journal of Mechanical Design, 117(4):499--505, 1995.

No context found.

Michelena, N. and Papalambros, P., 1995b, "Optimal ModelBased Decomposition of Powertrain System Design ," Tech.

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