A Comprehensive Method for Piston Secondary Dynamics and Piston-Bore Contact

Patel, Prashant; Mourelatos, Zissimos P.; Shah, Paras

doi:10.4271/2007-01-1249

Cited by 15 publications

(10 citation statements)

References 23 publications

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“…The multiple requirements for NVH performance, durability and fuel economy must be accounted for in piston design. The parametric design study in [11,12,13,14] showed that various piston design variables and engine operating parameters have a significant effect on piston friction and noise. In addition some of these parameters, such as nominal cold clearance between the skirt and liner may have a negative effect on friction, noise and scuffing.…”

Section: Piston Designmentioning

confidence: 99%

“…Therefore, an accurate and efficient analytical method must be established as an alternative. An analytical model has been developed in [13,14] and used in this study to simulate piston secondary dynamics and piston-bore contact for an asymmetric half piston model. The piston secondary motion and piston-skirt contact pattern determine the piston NVH characteristics because they affect the skirt-to-bore impact force and therefore, how the piston impact excitation energy is damped, transmitted and eventually radiated from the engine structure as noise.…”

Section: Piston Designmentioning

confidence: 99%

“…The contact force pattern along the piston skirt is determined iteratively using a complementarity algorithm [13]. Output quantities representing performance metrics such as friction, noise and scuffing are calculated.…”

Section: Figure 1 Forces Acting On the Pistonmentioning

confidence: 99%

“…Output quantities representing performance metrics such as friction, noise and scuffing are calculated. The interested readers are referred to [11,12,13,14] for further details on the piston dynamics, the solution scheme and the contact algorithm.…”

Section: Figure 1 Forces Acting On the Pistonmentioning

confidence: 99%

“…The problem of Equation (13) was solved for each of the 65 sample points using the iSIGHT [31] work flow of Figure 5. The "Pointer Automatic Optimizer" was used.…”

Section: Figure 4 Olh Sample Points Of Friction Power Loss and Kinetmentioning

confidence: 99%

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Piston Design Using Multi-Objective Reliability-Based Design Optimization

Patel

Shah

Mourelatos

2010

SAE Int. J. Mater. Manuf.

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Piston design is a challenging engineering problem which involves complex physics and requires satisfying multiple performance objectives. Uncertainty in piston operating conditions and variability in piston design variables are inevitable and must be accounted for. The piston assembly can be a major source of engine mechanical friction and cold start noise, if not designed properly. In this paper, an analytical piston model is used in a deterministic and probabilistic (reliability-based) multi-objective design optimization process to obtain an optimal piston design. The model predicts piston performance in terms of scuffing, friction and noise, In order to keep the computational cost low, efficient and accurate metamodels of the piston performance metrics are used. The Pareto set of all optimal solutions is calculated allowing the designer to choose the "best" solution according to trade-offs among the multiple objectives. Our multi-objective optimization method is demonstrated with simple examples and applied in the design of an automotive piston.

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Section: Piston Designmentioning

confidence: 99%

Section: Piston Designmentioning

confidence: 99%

Section: Figure 1 Forces Acting On the Pistonmentioning

confidence: 99%

Section: Figure 1 Forces Acting On the Pistonmentioning

confidence: 99%

“…The problem of Equation (13) was solved for each of the 65 sample points using the iSIGHT [31] work flow of Figure 5. The "Pointer Automatic Optimizer" was used.…”

Section: Figure 4 Olh Sample Points Of Friction Power Loss and Kinetmentioning

confidence: 99%

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