Analytical Target Cascading in Automotive Vehicle Design

2003 ◽  
Vol 125 (3) ◽  
pp. 481-489 ◽  
Author(s):  
Hyung Min Kim ◽  
D. Geoff Rideout ◽  
Panos Y. Papalambros ◽  
Jeffrey L. Stein
Keyword(s):  
Solution Process ◽  
Ride Quality ◽  
Analytical Target Cascading ◽  
Multilevel Optimization ◽  
Efficient Manner ◽  
Trade Offs ◽  
Systematic Effort ◽  
Target Cascading ◽  
Analysis Models ◽  
Hierarchical Multilevel Optimization

Target cascading in product development is a systematic effort to propagate the desired top-level system design targets to appropriate specifications for subsystems and components in a consistent and efficient manner. If analysis models are available to represent the consequences of the relevant design decisions, analytical target cascading can be formalized as a hierarchical multilevel optimization problem. The article demonstrates this complex modeling and solution process in the chassis design of a sport-utility vehicle. Ride quality and handling targets are cascaded down to systems and subsystems utilizing suspension, tire, and spring analysis models. Potential incompatibilities among targets and constraints throughout the entire system can be uncovered and the trade-offs involved in achieving system targets under different design scenarios can be quantified.

Analytical Target Cascading in Automotive Vehicle Design

2001 ◽  
Author(s):  
Hyung Min Kim ◽  
D. Geoff Rideout ◽  
Panos Y. Papalambros ◽  
Jeffrey L. Stein
Keyword(s):  
Solution Process ◽  
Ride Quality ◽  
Analytical Target Cascading ◽  
Multilevel Optimization ◽  
Efficient Manner ◽  
Trade Offs ◽  
Systematic Effort ◽  
Target Cascading ◽  
Analysis Models ◽  
Hierarchical Multilevel Optimization

Abstract Target cascading in product development is a systematic effort to propagate the desired top-level system design targets to appropriate specifications for subsystems and components in a consistent and efficient manner. If analysis models are available to represent the relevant design decisions, analytical target cascading can be formalized as a hierarchical multilevel optimization problem. The article demonstrates this complex modeling and solution process in the chassis design of a sport-utility vehicle. Ride quality and handling targets are cascaded down to systems and subsystems utilizing suspension, tire, and spring analysis models. Potential incompatibilities among targets and constraints throughout the entire system can be uncovered and the trade-offs involved in achieving system targets under different design scenarios can be quantified.

Probabilistic Analytical Target Cascading: A Moment Matching Formulation for Multilevel Optimization Under Uncertainty

2005 ◽  
Author(s):  
Huibin Liu ◽  
Wei Chen ◽  
Michael Kokkolaras ◽  
Panos Y. Papalambros ◽  
Harrison M. Kim
Keyword(s):  
Probabilistic Approach ◽  
Optimization Under Uncertainty ◽  
Analytical Target Cascading ◽  
Multilevel Optimization ◽  
Coordination Strategies ◽  
Simulation Based ◽  
Target Cascading ◽  
Design Consistency ◽  
System Design Optimization ◽  
Probabilistic Analytical Target Cascading

Analytical target cascading (ATC) is a methodology for hierarchical multilevel system design optimization. In previous work, the deterministic ATC formulation was extended to account for uncertainties using a probabilistic approach. Random quantities were represented by their expected values, which were required to match among subproblems to ensure design consistency. In this work, the probabilistic formulation is augmented to allow introduction and matching of additional probabilistic characteristics. Applying robust design principles, a particular probabilistic analytic target cascading (PATC) formulation is proposed by matching the first two moments of random quantities. Several implementation issues are addressed, including representation of probabilistic design targets, matching interrelated responses and linking variables under uncertainty, and coordination strategies for multilevel optimization. Analytical and simulation-based optimal design examples are used to illustrate the new PATC formulation. Design consistency is achieved by matching the first two moments of interrelated responses and linking variables. The effectiveness of the approach is demonstrated by comparing PATC results to those obtained using a probabilistic all-in-one (PAIO) formulation.

Multi-Disciplinary Design Optimization of Transonic Fan Blade Design Using Analytical Target Cascading

2014 ◽  
Author(s):  
Saima Naz ◽  
Christophe Tribes ◽  
J.-Y. Trépanier ◽  
Jason Nichols ◽  
Eddy Petro
Keyword(s):  
Design Optimization ◽  
Solution Process ◽  
System Level ◽  
Analytical Target Cascading ◽  
Structure And Dynamics ◽  
Design Variables ◽  
Key Points ◽  
Target Cascading ◽  
Fan Blade ◽  
Transonic Fan

Analytical Target Cascading (ATC), a multilayer multidisciplinary design optimization (MDO) formulation employed on a transonic fan design problem. This paper demonstrates the ATC solution process including the specific way of initializing the problem and handling system level and discipline level targets. High-fidelity analysis tools for aerodynamics, structure and dynamics disciplines have been used. A multi-level parameterization of the fan blade is considered for reducing the number of design variables. The overall objective is the transonic fan efficiency improvement under structure and dynamics constraints. This design approach is applied to the redesign of the NASA Rotor 67. The overall study explores the key points of implementation of ATC on transonic fan design practical problem.

Analytical Target Cascading for the Design of an Advanced Technology Heavy Truck

2002 ◽  
Author(s):  
L. S. Louca ◽  
M. Kokkolaras ◽  
G. J. Delagrammatikas ◽  
N. F. Michelena ◽  
Z. S. Filipi ◽  
...  
Keyword(s):  
Fuel Economy ◽  
Electric Propulsion ◽  
Simulation Models ◽  
Advanced Technology ◽  
Ride Quality ◽  
Analytical Target Cascading ◽  
Design Attributes ◽  
Target Values ◽  
Target Cascading ◽  
Heavy Truck

Analytical target cascading (ATC) is a methodology that can be used during the early development stages of large and complex systems for propagating desirable overall product targets to appropriate individual specifications for the various subsystems and components. The ATC process is applied to the design of an advanced technology heavy truck. A series hybrid-electric propulsion system, in-hub motors, and variable height suspensions are introduced with the intent to improve both commercial and military design attributes according to a dual-use design philosophy. Emphasis is given to fuel economy, ride, and mobility characteristics. These vehicle responses are predicted by appropriately developed analytical and simulation models. This article is an extension to previous work: the engine is now included at the bottom level, several battery types are considered to study their effect on fuel economy, and a more demanding driving schedule is used to assess regenerative braking benefits and ride quality. Results are presented for target values associated with a 100% improvement on fuel economy while maintaining performance attributes relative to existing designs.

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