<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The traditional wind tunnel strain balance design cycle is a manual iterative process. With the experience and intuition of the designer, one solution that meets the design requirements can be selected among a small number of design solutions. This paper introduces a novel software integration-based automatic balance design optimization system (ABDOS) and its implementation by integrating professional design knowledge and experience, stepwise optimization strategy, CAD-CAE software, self-developed scripts and tools. The proposed two-step optimization strategy includes the analytical design process (ADP) and the finite element method design process (FEDP). The built-in optimization algorithm drives the design variables change and searches for the optimal structure combination meeting the design objectives. The client-server based network architecture enables local lightweight design input, task management, and result output. The high-performance server combines all design resources to perform all the solution calculations. The development of more than 10 balances that have been completed and a case study show that this method and platform significantly reduce the time for design evaluation and design-analysis-redesign cycles, assisting designers to comprehensively evaluate and improve the performance of the balance.</p></abstract>

The traditional wind tunnel strain balance design cycle is a manual iterative process. With the experience and intuition of the designer, one solution that meets the design requirements can be selected among a small number of design solutions. This paper introduces a novel software integration-based automatic balance design optimization system (ABDOS) and its implementation by integrating professional design knowledge and experience, stepwise optimization strategy, CAD-CAE software, self-developed scripts and tools. The proposed two-step optimization strategy includes the analytical design process (ADP) and the finite element method design process (FEDP). The built-in optimization algorithm drives the design variables change and searches for the optimal structure combination meeting the design objectives. The client-server based network architecture enables local lightweight design input, task management, and result output. The high-performance server combines all design resources to perform all the solution calculations. The development of more than 10 balances that have been completed and a case study show that this method and platform significantly reduce the time for design evaluation and design-analysis-redesign cycles, assisting designers to comprehensively evaluate and improve the performance of the balance.

Automatic Strain Gauge Balance Design Optimization Approach and Implementation Based on Integration of Software

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The traditional wind tunnel strain balance design cycle is a manual iterative process. With the experience and intuition of the designer, one solution that...

Automatic Strain Gauge Balance Design Optimization Approach and Implementation Based on Integration of Software

Pubblicato online: 24 feb 2020

Pagine: 22 - 34

Ricevuto: 14 lug 2019

Accettato: 20 gen 2020

DOI: https://doi.org/10.2478/msr-2020-0004

Parole chiave
Strain gauge balance, automatic design, structural optimization, software integration, optimization strategy

© 2020 Guangwei Xiang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Automatic Strain Gauge Balance Design Optimization Approach and Implementation Based on Integration of Software

Pubblicato online: 24 feb 2020

Pagine: 22 - 34

Ricevuto: 14 lug 2019

Accettato: 20 gen 2020

DOI: https://doi.org/10.2478/msr-2020-0004

Parole chiaveStrain gauge balance, automatic design, structural optimization, software integration, optimization strategy

© 2020 Guangwei Xiang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Strain gauge balance, automatic design, structural optimization, software integration, optimization strategy