Dynamic System Synthesis With a Bond Graph Approach: Part II—Conceptual Design of an Inertial Velocity Indicator

1993 ◽  
Vol 115 (3) ◽  
pp. 364-369 ◽  
Author(s):  
R. C. Redfield

This work develops the conceptual design of an inertial velocity sensor drawing upon the impedance synthesis method in Part I of this paper. Specifications are frequency based impedances and resulting designs are configurations of dynamic energy storing and dissipation elements. The design procedure can be extended to a class of systems design problems where frequency response performance is of primary importance. A key to this work is that the method designs systems from scratch; initial configurations are unknown. As a theme example to demonstrate the utility of the method for conceptual design, constrained and unconstrained inertial velocity sensors are configured based on input-output performance requirements. Such sensors find application in many motion control problems including mechanism and manipulator control, and vibration isolation control. The design methodology generates a number of different sensors that can measure absolute velocity for some or all ranges of frequency.

Author(s):  
Mary I. Frecker ◽  
Noboru Kikuchi ◽  
Sridhar Kota

Abstract Compliant mechanism synthesis is an automated design procedure which allows the designer to systematically generate the optimal structural form for a particular set of loading and motion requirements. The synthesis method presented here solves a particular class of design problems, where the compliant mechanism is required to be both flexible to meet motion requirements, and stiff to withstand external loads. A two-part problem formulation is proposed using mutual and strain energies, whereby the conflicting design objectives of required flexibility and stiffness are handled via multi-criteria optimization. The resulting compliant mechanism topologies satisfy both kinematic and structural requirements. The problem formulation is implemented using a truss ground structure and SLP algorithm. Several design examples are presented to illustrate this method.


2006 ◽  
Vol 34 (3) ◽  
pp. 170-194 ◽  
Author(s):  
M. Koishi ◽  
Z. Shida

Abstract Since tires carry out many functions and many of them have tradeoffs, it is important to find the combination of design variables that satisfy well-balanced performance in conceptual design stage. To find a good design of tires is to solve the multi-objective design problems, i.e., inverse problems. However, due to the lack of suitable solution techniques, such problems are converted into a single-objective optimization problem before being solved. Therefore, it is difficult to find the Pareto solutions of multi-objective design problems of tires. Recently, multi-objective evolutionary algorithms have become popular in many fields to find the Pareto solutions. In this paper, we propose a design procedure to solve multi-objective design problems as the comprehensive solver of inverse problems. At first, a multi-objective genetic algorithm (MOGA) is employed to find the Pareto solutions of tire performance, which are in multi-dimensional space of objective functions. Response surface method is also used to evaluate objective functions in the optimization process and can reduce CPU time dramatically. In addition, a self-organizing map (SOM) proposed by Kohonen is used to map Pareto solutions from high-dimensional objective space onto two-dimensional space. Using SOM, design engineers see easily the Pareto solutions of tire performance and can find suitable design plans. The SOM can be considered as an inverse function that defines the relation between Pareto solutions and design variables. To demonstrate the procedure, tire tread design is conducted. The objective of design is to improve uneven wear and wear life for both the front tire and the rear tire of a passenger car. Wear performance is evaluated by finite element analysis (FEA). Response surface is obtained by the design of experiments and FEA. Using both MOGA and SOM, we obtain a map of Pareto solutions. We can find suitable design plans that satisfy well-balanced performance on the map called “multi-performance map.” It helps tire design engineers to make their decision in conceptual design stage.


Author(s):  
Nitin V Satpute ◽  
Sarika N Satpute ◽  
Lalitkumar M Jugulkar

Electromagnetic harvesters need to be designed with a mechanism to amplify the coil relative velocity to ensure compact size and lower weight. This paper discusses a novel technique to use fluid link for velocity amplification in an electromagnetic shock absorber. Incorporation of the fluid amplification significantly improves harvested power, without affecting the system dynamics. Numerical modelling and experimentation of a prototype shock absorber comprising of high energy rare earth magnets have been presented. Peak coil voltage of 0.60–24.2 V was recorded during experimentation on the prototype. Experimental and simulation results validate that incorporation of the fluid amplification link improves the harvested electric power by 9702%. Comprehensive design procedure for better harvesting efficiency and vibration isolation has been discussed. Lastly incorporation of the shock absorber in McPherson strut suspension is illustrated. The real size version will be able to harvest peak power of 18–227 W for the suspension velocities of 0.15–0.4 m/s.


Author(s):  
LianShui Guo ◽  
Xuan Zhou ◽  
Lian Zhao ◽  
Qingming Liu

Product conceptual design derives from the functional requirement initially, and the overall structure control for product design is one of the most difficult problems being addressed in CAD modeling. The objective of this investigation is to present a framework on rapid modeling using rules and mechanism library for mapping between functions and mechanism structures. In this paper, it is shown that the overall structure can be achieved largely by using multi-level parametric skeleton model. In order to drive the conceptual design into a more detailed design, the intelligent master model is presented to realize the parametric feature modeling and design knowledge reuse. The main contribution of this paper is that an integrated framework has been developed to design assembling tools of satellite by using a necessary auxiliary wizard. The case studies presented demonstrate the potential significance of this work for a wide range of engineering design problems.


Author(s):  
Carl Ehrett ◽  
D. Andrew Brown ◽  
Christopher Kitchens ◽  
Xinyue Xu ◽  
Roland Platz ◽  
...  

Abstract Calibration of computer models and the use of those models for design are two activities traditionally carried out separately. This paper generalizes existing Bayesian inverse analysis approaches for computer model calibration to present a methodology combining calibration and design in a unified Bayesian framework. This provides a computationally efficient means to undertake both tasks while quantifying all relevant sources of uncertainty. Specifically, compared with the traditional approach of design using parameter estimates from previously completed model calibration, this generalized framework inherently includes uncertainty from the calibration process in the design procedure. We demonstrate our approach on the design of a vibration isolation system. We also demonstrate how, when adaptive sampling of the phenomenon of interest is possible, the proposed framework may select new sampling locations using both available real observations and the computer model. This is especially useful when a misspecified model fails to reflect that the calibration parameter is functionally dependent upon the design inputs to be optimized.


Author(s):  
Ravindra V. Tappeta ◽  
John E. Renaud

Abstract This investigation focuses on the development of modifications to the Collaborative Optimization (CO) approach to multidisciplinary systems design, that will provide solution capabilities for multiobjective problems. The primary goal of this research is to provide a comprehensive overview and development of mathematically rigorous optimization strategies for MultiObjective Collaborative Optimization (MOCO). Collaborative Optimization strategies provide design optimization capabilities to discipline designers within a multidisciplinary design environment. To date these CO strategies have primarily been applied to system design problems which have a single objective function. Recent investigations involving multidisciplinary design simulators have reported success in applying CO to multiobjective system design problems. In this research three MultiObjective Collaborative Optimization (MOCO) strategies are developed, reviewed and implemented in a comparative study. The goal of this effort is to provide an in depth comparison of different MOCO strategies available to system designers. Each of the three strategies makes use of parameter sensitivities within multilevel solution strategies. In implementation studies, each of the three MOCO strategies is effective in solving two multiobjective multidisciplinary systems design problems. Results indicate that these MOCO strategies require an accurate estimation of parameter sensitivities for successful implementation. In each of the three MOCO strategies these parameter sensitivities are obtained using post-optimality analysis techniques.


Author(s):  
Davide Ferretto ◽  
Roberta Fusaro ◽  
Nicole Viola

Several well-established best practices and reliable tools have been developed along the years to support aircraft conceptual and preliminary design. In this context, one of the most widely used tool is the Matching Chart (MC), a graphical representation of the different performance requirements (curves representing the thrust-to-weight ratio (T/W) requirement as function of the wing loading (W/S)) for each mission phase. The exploitation of this tool allows the identification of a feasible design space as well as the definition of a reference vehicle configuration in terms of maximum thrust, maximum take-off weight, and wing surface since the very beginning of the design process. Although the tool was originally developed for conventional aircraft, several extensions and updates of the mathematical models have been proposed over the years to widen its application to innovative configurations. Following this trend, this paper presents a further evolution of the MC model to support the conceptual design of high-speed transportation systems, encompassing supersonic and hypersonic flight vehicles. At this purpose, this paper reports and discusses the updates of the methodology laying behind the generation of the MC for high-speed transportation. Eventually, the results of the validation of the updated methodology and tool are reported, using as case study, the STRATOFLY MR3 vehicle configuration, a Mach 8 antipodal civil transportation system, currently under development within the H2020 STRATOFLY project.


Author(s):  
Christian Noon ◽  
Ruqin Zhang ◽  
Eliot Winer ◽  
Jim Oliver ◽  
Brian Gilmore ◽  
...  

Currently, new product concepts are evaluated by developing detailed virtual models with Computer Aided Design (CAD) tools followed by evaluation analyses (e.g., finite element analysis, computational fluid dynamics, etc.). Due to the complexity of these evaluation methods, it is generally not possible to model and analyze each of the ideas generated throughout the conceptual design phase of the design process. Thus, promising ideas may be eliminated based solely on insufficient time to model and assess them. Additionally, the analysis performed is usually of much higher detail than needed for such early assessment. By eliminating the time-consuming CAD complexity, engineers could spend more time evaluating additional concepts. To address these issues, a software framework, the Advanced Systems Design Suite (ASDS), was created. The ASDS incorporates a PC user interface with an immersive virtual reality (VR) environment to ease the creation and assessment of conceptual design prototypes individually or collaboratively in a VR environment. Assessment tools incorporate metamodeling approximations and immersive visualization to evaluate the validity of each concept. In this paper, the ASDS framework and interface along with specifically designed immersive VR assessment tools such as state saving, dynamic viewpoint creation, and animation playback are presented alongside a test case example of redesigning a Boeing 777 in the conceptual design phase.


Sign in / Sign up

Export Citation Format

Share Document