Special Analytical Target Cascading for Handling Performance and Ride Quality Based on Conceptual Suspension Model and Multi-body Model

2009 ◽  
Author(s):  
Shiwei Wu ◽  
Yuming Hou ◽  
Lingyang Li ◽  
Yunqing Zhang ◽  
Liping Chen
Keyword(s):  
Ride Quality ◽  
Analytical Target Cascading ◽  
Handling Performance ◽  
Body Model ◽  
Target Cascading ◽  
Suspension Model ◽  
Multi Body

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 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.

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.

scholarly journals An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ping Jiang ◽  
Jianzhuang Wang ◽  
Qi Zhou ◽  
Xiaolin Zhang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Kriging Model ◽  
Multidisciplinary Design ◽  
High Approximation ◽  
Engineering Systems ◽  
Analytical Target Cascading ◽  
Combined Approach ◽  
Coordination Strategy ◽  
Target Cascading

Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.

scholarly journals Analytical target cascading for optimal configuration of cloud manufacturing services

2017 ◽  
Vol 151 ◽  
pp. 330-343 ◽  
Author(s):  
Yingfeng Zhang ◽  
Geng Zhang ◽  
Ting Qu ◽  
Yang Liu ◽  
Ray Y. Zhong
Keyword(s):  
Cloud Manufacturing ◽  
Optimal Configuration ◽  
Analytical Target Cascading ◽  
Target Cascading

SUSPENSION OPTIMIZATION USING DESIGN OF EXPERIMENT (DOE) METHOD ON MSC/ADAMS-INSIGHT

2015 ◽  
Vol 75 (8) ◽  
Author(s):  
N. Ikhsan ◽  
R. Ramli ◽  
A. Alias
Keyword(s):  
Design Of Experiment ◽  
Suspension System ◽  
Optimization Process ◽  
Data Set ◽  
Pareto Chart ◽  
Axis Direction ◽  
Parallel Movement ◽  
Suspension Model ◽  
Vehicle Suspension System ◽  
Multi Body

In this paper, the optimum setting for suspension hard points was determined from a half vehicle suspension system. These optimized values were obtained by considering the Kinematic and Compliance (K&C) effects of a verified PROTON WRM 44 P0-34 suspension model developed using MSC/ADAMS/CAR. For optimization process, multi body dynamic software, MSC/ADAMS/INSIGHT and Design of Experiment (DoE) method was employed. There were total of 60 hard points (factors) in x, y and z axis-direction for both front and rear suspension while toe, camber and caster change were selected as the objective function (responses) to be minimized. The values of 5 mm, 10 mm and 15 mm were used as relative values of factor setting to determine the factor range during optimization process. The hard point axis-direction that has the most effects on the responses was identified using the Pareto chart to optimize while the rests were eliminated. As expected result, a new set of suspension system model with a selected of Kinematic and Compliance (K&C) data set were obtained, and compared with the verified simulation data when subjected to the vertical parallel movement simulation test to determine the best setting and optimum suspension hard points configuration.  

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