Metamodel Based Design Automation: Applied on Multidisciplinary Design Optimization of Industrial Robots

2012 ◽  
Author(s):  
Mehdi Tarkian ◽  
Bhanoday Vemula ◽  
Xiaolong Feng ◽  
Johan Ölvander
Keyword(s):  
Design Optimization ◽  
Design Automation ◽  
Multidisciplinary Design Optimization ◽  
Industrial Robots ◽  
Multidisciplinary Design ◽  
Proof Of Concept ◽  
Optimization Strategy ◽  
Concept Generation ◽  
Multi Level ◽  
High Level

Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage inherited complexities. This paper presents a high level CAD and CAE design automation methodology which enables fast, efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computationally expensive CAD and CAE models. In addition, various techniques are applied to drastically decrease the number of samplings required to create the metamodels. In the final part of the paper, a multi-level optimization strategy is proposed to find the optimal concept. As proof of concept, a real world design problem, from ABB industrial robotics, is presented.

Multidisciplinary Design Optimization of Modular Industrial Robots

2011 ◽  
Author(s):  
Mehdi Tarkian ◽  
Johan Persson ◽  
Johan O¨lvander ◽  
Xiaolong Feng
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Structural Strength ◽  
Computational Cost ◽  
Industrial Robots ◽  
Multidisciplinary Design ◽  
Geometry Model ◽  
Optimization Framework ◽  
Speed Up ◽  
Multi Level

This paper presents a multidisciplinary design optimization framework for modular industrial robots. An automated design framework, containing physics based high fidelity models for dynamic simulation and structural strength analyses are utilized and seamlessly integrated with a geometry model. The proposed framework utilizes well-established methods such as metamodeling and multi-level optimization in order to speed up the design optimization process. The contribution of the paper is to show that by applying a merger of well-established methods, the computational cost can be cut significantly, enabling search for truly novel concepts.

Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD Templates

2012 ◽  
Vol 134 (12) ◽  
Author(s):  
Mehdi Tarkian ◽  
Johan Persson ◽  
Johan Ölvander ◽  
Xiaolong Feng
Keyword(s):  
Design Optimization ◽  
Computer Aided Design ◽  
Multidisciplinary Design Optimization ◽  
Industrial Robot ◽  
Geometric Model ◽  
Industrial Robots ◽  
Multidisciplinary Design ◽  
Strength Analysis ◽  
High Level ◽  
Aided Design

This paper presents a multidisciplinary design optimization (MDO) framework for automated design of a modular industrial robot. The developed design framework seamlessly integrates high level computer aided design (CAD) templates (HLCt) and physics based high fidelity models for automated geometry manipulation, dynamic simulation, and structural strength analysis. In the developed framework, methods such as surrogate models and multilevel optimization are employed in order to speed up the design optimization process. This work demonstrates how a parametric geometric model, based on the concept of HLCt, enables a multidisciplinary framework for multi-objective optimization of a modular industrial robot, which constitutes an example of a complex heterogeneous system.

A Collaborative Approach for Multidisciplinary Systems Reliability Design and Optimization

2013 ◽  
Vol 694-697 ◽  
pp. 911-914 ◽  
Author(s):  
Jun Zhang ◽  
Bing Zhang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Optimization Procedure ◽  
Performance Measure ◽  
Multidisciplinary Design ◽  
Sequential Optimization ◽  
Optimization Strategy ◽  
Reliability Design ◽  
Design And Optimization ◽  
Subspace Optimization

In order to improve the efficiency and robustness of reliability-based multidisciplinary design optimization (RBMDO), a new collaborative strategy (named C-RBMDO) which integrates performance measure approach (PMA) and concurrent subspace optimization strategy (CSSO) is proposed. Both the mathematical model and optimization procedure are put forward. The traditional triple-level nested flowchart of RBMDO is decoupled with the sequential optimization and reliability assessment (SORA). The deterministic multidisciplinary design optimization and the multidisciplinary reliability analysis are executed by CSSO and PMA respectively. Finally, the proposed method is verified through the design example of gear transmission.

Research of Technology and Application of MDO Development

2012 ◽  
Vol 538-541 ◽  
pp. 2822-2828
Author(s):  
Yun Peng Zhao ◽  
Nan Li
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Computer Network ◽  
Optimal Solution ◽  
Multidisciplinary Design ◽  
Network Technology ◽  
Optimization Strategy ◽  
Parallel Design ◽  
Active Design ◽  
Effective Design

In west DEMS areas of aerospace, MDO (Multidisciplinary Design Optimization) was the latest and most active design methods in recent years. Its main thinking is that: using DCNT (Distributed Computer Network Technology) to integrate knowledge of all subjects; using effective design optimization strategy to organize and manage of the design process. Its objective is to get the overall optimal solution by using the interaction and synergy between all subjections; to shorten the cycle by implementing of the parallel design. So that the developed the product would be more competitive. This thesis researched MDO development situation of home and aboard from three parts: Techniques and Methods、Integrated Framework software and Application for getting some inspiration how to research MDO now.

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