DOE sensitivity analysis of urban morphology factors regarding solar irradiation on buildings envelope in the Brazilian tropical context
This paper aims at identifying the most sensitive urban morphological parameters from a set of well-known energy-related indicators on improving solar energy potential and illuminance level over building facades, in tropical cities in Brazil. A reduced factorial DOE method coupled to a Simplified Radiosity Algorithm (SRA), is used to evaluate the irradiation availability on building envelope.
Crash Pulse Characterization for Restraints System Performance Optimization
This study aims to develop a process for crash pulse characterization for the early phase of the product development, conducted in a sled test environment. MADYMO and modeFRONTIER coupling were used for analyzing the injury performance of occupants with all crash pulses.
Webinar | Introducing the Adaptive Space Filler (ASF) Algorithm: Design Space Exploration becomes smart
Danilo Di Stefano, modeFRONTIER Product Manager, and Alexander Duggan, Engineer at ESTECO North America, present one of the key enhancements of the new modeFRONTIER 2014 release: the newly added Adaptive Space Filler (ASF) Algorithm.
Steady state cam optimization process for optimal engine operation over the speed-load map
A gasoline engine is an energy conversion device, where chemical energy is converted into mechanical energy. Many technologies aim to decrease the net indicated fuel consumption (eg. downsizing, Atkinson/Miller cycles, lean/dilute operation, optimal design, etc.). By optimizing cam timing over a speed-load map, subject to constraints, further efficiency improvements can be gained.
Optimization of Suspension Design for Commuter Motorbikes
Suspension design variables plays a key role when adapting a motorbike to different road a traffic condition. Steering torque and ratio rate should be considered for different type of maneuvre, along with acceleration at rider center of gravity when coming to comfort parameters.
Optimization of Multi-Scale Microstructure Design to Improve Macro-Level Engineering Performance in Aerospace Applications
The present work addresses several microstructure design optimization applications such as an airframe thermal buckling problem, plastic deformation and vibration tuning problems for cantilever beams made of alpha-Titanium and Galfenol. The goal of these optimization problems is to improve various macrostructural performance criteria by identifying the best microstructure designs.
White Paper | A New Collaborative MDO Strategy for improving Vehicle Design at Ford
Ford Motor Company achieves streamlined, multi-user design process management by expanding its Multidisciplinary Design Optimization approach at enterprise level > READ THE WHITE PAPER
A New Collaborative MDO Strategy for improving Vehicle Design at Ford
Ford Motor Company achieves streamlined, multi-user design process management by expanding its Multidisciplinary Design Optimization approach at enterprise level
ABB Leverages ESTECO Technology to Handle the Complexity of Mechatronic System Design
“In the case of the Twin Robot Xbar Press Tending Robot System – says Daniel Wappling, Global R&D Manager at ABB – with modeFRONTIER we obtained a 12% energy saving, without compromising performance. Obviously, this is something that can’t be done by hand, you need an optimization software to do it.”
Handling the Complexity of Mechatronic System Design
Two design projects highlight how ABB Group leverages optimization-based development to handle the complexity that automation and control systems entail and to maximize mechatronic product performance, meet reliability demands and ease overall environmental impact.