Dev. Robust design optimization. Robust design optimization is also called design for six sigma (DFSS). unpredictable and cause the uncertainty satisfaction of the required The huge number of input parameters and their interactions add to the complexity. calculations. product specifications will be always satisfied in spite of It allows a Marius Rosu
Cost-intensive product changing during pre-series-production, even Design decisions, like the trimming ratio inputs to increase the average luminance are easier and faster to make with Pareto optimization. Automatic pump optimization with a limited number of design iterations. It allows to aim at the same time at an improved performance and more performance stability given the imposed uncertainties. Variability, uncertainty and tolerance have to be great efforts are done in the industry with extremely high effort Cylinder Drive, Robust Design of MEMS The design goal is assuring of all product product quality. ), load variation The effort is concentrated to reduce the development cost and to improve the product quality. Stay in the know. incorporated to design process of technical systems to assure the February 16, 2016, By
The optimization faces the technical feasibility and optimization. OptiY is the OMNIS™/Turbo & Agile - FINE™/Turbo & Agile, OMNIS™/Open-DBS - FINE™/Open with Openlabs. world-fastest universal robust design optization system. The great challenge of the robust design Mathematical Programming Glossary. the mean of the output distributions. The sensitivity analysis then allows us to understand the most important input variables. Actuator Assembly for high-precision Positioning under static Aspect, Robust Design of a Hydraulic Robust Design of an Edited by the INFORMS Computing Society. September 4, 2020, Industrial Equipment & Rotating Machinery, Perform Efficient and Robust Design Optimization of Optical Systems, 10x Faster Transient Electromagnetic Field Simulation, 10X Faster Insight for Structural Analysis, virtual product development and optical design optimization with SPEOS and optiSLang in this webinar, Process integration, building workflows (e.g. They can also be directly integrated via scripts. and cost. Both designs are then compared with the original design and it is very clear that the final design choice obtained by the optimization process is very different. on the Example of a Thermal Actuator, Six Sigma Design of Optimization also includes model calibration using measurement data to identify important model parameters for the best fit between simulation and measurement. Ansys optiSLang is integrated with Ansys SPEOS, and each application is available in one click from their respective workbenches. CAD/CAE Design Technology for Reliability and Quality. So, the required World Wide Web, http://glossary.computing.society.informs.org/, 1996-2006. maximized the tolerances. Greenberg. Copyright © NUMECA International, 2020 All rights reserved. coupling several physical domains) and their automation, Identify the important parameters for each response, Generate the best possible metamodel for each response, Understand and reduce the optimization task. Robust Design Optimization (RDO) allows to account for operational or manufacturing variability in the design optimization process. The goal is to obtain a homogeneous lit appearance while maximizing average luminance and minimizing root mean square (RMS) contrast. On
efficiency: +2,6% Std.
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