...), it is critical to find the optimal parameter estimators that minimize or maximize a chosen objective function. In practice, iterative local methods (e.g., Levenberg-Marquardt method) and heuristic methods (e.g., genetic algorithms) are commonly employed for least squares parameter estimation in nonlinear models...

... the scaffold geometry with a small number of design variables, minimizing the optimization’s computational cost. Effective elastic and diffusive properties of the scaffold as a function of the scaffold design and the bone density are obtained from previously constructed surrogates. These property surrogates...

... is the tessellation of the product geometry. Depending on the product complexity and the performance of the target platform extensive optimization is needed to ensure the usability and visual quality of the AR/VR application. Current approaches to this problem use iterative and inflexible processes mostly based...

...-drone delivery system with mobile additive manufacturing while also considering the customers’ preferred delivery time-window and the optimal printing sequence. A mixed integer linear programming model is proposed to establish this innovative mechanism. A computational case study was applied to validate...

... features and a Gaussian Process the topological features of the cellular structures [11-16]. A (GP) model is employed to enable property-driven structure rational design methodology for discovering new metamaterials optimization. By comparing the GM-VAE and a regular with a wide bandgap is highly desired...

...]. Keywords: Reliability; System; Bayesian method; Uncertainty; Optimization Many statistics-based methods for component reliability are available in reliability engineering [6]. Physics-based methods 1. INTRODUCTION for component reliability have also been extensively For many system design problems...

... these results for future designs of ADAS technologies and their placement on the FSLDPT. While these methods could be applied to any vehicle, the FSLDPT sales leader will be investigated as it represents about 9% of registered vehicles in the United States. The results will be optimized with respect to cost...

... its extensibility. multi-robot task allocation multi-robot systems Bayesian networks mobile robots optimization Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021...

... has remained a signi cant hindrance to its further development. Keywords: Co-design, Optimization, Reliability-based Of the many design objectives, minimizing the charging Design, Battery, Energy Storage. time and maximizing the cycle life are con icting design objectives. In the past, enormous...

... Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-71376 OPTIMIZED TORQUE ASSISTANCE DURING WALKING WITH AN IDEALIZED HIP EXOSKELETON Neethan...

...- and automated geometry preparation as they combine aspects Aided Engineering, Optimization, Product Development, that make manual geometry preparation especially Visualization disadvantageous. For example AR/VR applications for VRDRs need to be suitable to products of any complexity while also enabling...

... Abstract Many design tasks involve selection from a set of configurations followed by parametric optimization of the chosen configuration. The models used for these tasks tend to be large, non-linear and involve both discrete and continuous variables. It is rarely possible to use any single...

... nowadays be recommended in view of the currently available CAD, computation and mathematical optimization means. This leads to a first design which is followed by experimental verification, with a key role for flight tests. The final design is checked with the aid of computation models that have been...

...DE-Vol. 82,1995 Design Engineering Technical Conferences Volume 1 ASME 1995 OPTIMAL MODEL-BASED DECOMPOSITION OF POWERTRAIN SYSTEM DESIGN Nestor F. Michelena Panos Y. Papalambros Design Laboratory Department of Mechanical Engineering and Applied Mechanics The University of Michigan Ann Arbor...

... discusses issues related to a network-based catalog part selection system. Some of the key issues are: the optimal search problem, the burden imposed on the server of a network­ based catalog or the time spent in data retrieval, identical parts in different vendor catalogs, and the excessive amount of data...

... Abstract Several optimization-based strategies have been proposed for compliant mechanism design that do not rely on the experience or intuition of the designer. This paper demonstrates an optimization-based method wherein compliant mechanisms are modeled parametrically within an optimization...

... Abstract A shape optimization capability which is fully integrated with geometry data is developed in this paper. A key feature of the system is the direct use of parametric solid model as the primary design model for shape optimization. This choice leads to a tight coupling between...

... Abstract In this work the optimization-based, integrated concurrent design method is extended to a general mechanical system — the transportation fuel cell system. A general optimal design model considering both functional performance and production costs is first introduced. Mathematical...

...Proceedings of DETC 97 1997 ASME Design Engineering Technical Conferences September 14-17, 1997, Sacramento, California1 Copyright © 1997 by ASME Key Words: Design Management, Concurrent Engineering, Game Theory, Optimization, Design Teams, Distributed Decision Making NOMENCLATURE player...

... Abstract This paper presents an algorithm that can be used to design either conventional or fuzzy logic control systems. In order to use the algorithm, the engineer must first choose a performance index for the system which he or she wants to optimize relative to some specified design...