... Abstract Adaptable products are used to satisfy different and changing customer requirements through changes of products such as reconfiguration and upgrading during their utilization stages. In this research, an optimal design and process planning approach is developed for product adaptation...

... automation design for additive manufacturing optimization multi-disciplinary design analysis Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2023 August 20-23, 2023, Boston, Massachusetts DETC2023...

... Abstract In Bayesian optimization, which is used for optimizing computationally expensive black-box problems, constraints need to be considered to arrive at solutions that are both optimal and feasible. Techniques to deal with black-box constraints have been studied extensively, often...

... Abstract This paper introduces a robust design method for product adaptation considering uncertainties in both product configurations and parameters. In this study, probability of product adaptation in the operation stage and influence of the probability on the optimal design solution...

... the application of methods to a UR5 industrial robotic manipulator and documentation for the design of a physical testbed. systems design robot kinematics optimization Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering...

... Abstract Kinematic synthesis to meet an approximate motion specification naturally forms a constrained optimization problem. In this work, we conduct global design searches by direct computation of all critical points through stationarity conditions. The idea is not new, but performed at scale...

... on intuition, and a lack of exploration in assistive strategies. This work presents a simulation-to-hardware strategy that creates optimized assistance profiles to implement on a hip exoskeleton to assist leg swinging as an intermediary step to improve control strategies for walking. By simplifying...

... pattern. Three frame designs, the modified cross, the diamond, and the Z design, are presented and trade-offs for each design regarding stiffness, either localized or generalized, are explored. Methods for optimizing each frame design to accommodate for rigidfoldability are introduced and algorithms...

... of load cases, limiting the optimization approaches to simple structures and joints. In this work we present an interleaved computational optimization algorithm for underactuated flexure-based grippers, aimed at maximizing the range of graspable circular objects under a given load. This method achieves...

... patterned pads are compared with existing ones that are single patterned optimal designs. This study carries out optimal selection of varying dimple patterns that provides an insight for further optimization efforts on surface textured bearing and seals. thrust bearings lubrication surface texturing...

... additional design flexibility toward balancing the contact stresses and bending stresses of the sun, planet, and ring members. gear finite element contact analysis asymmetric profile stress analysis planetary rotorcraft gear box optimization Proceedings of the ASME 2023 International Design...

...), 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...

... the charging time and maximizing the cycle life are conflicting design objectives. In the past, enormous efforts have been carried out to resolve the dispute between high charging rates and large capacity losses by either improving the battery design or optimizing the charging/discharging protocols. However...

... 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...

... in only one direction (either flexion or extension) or both directions has not been systematically studied and the underlying muscle mechanics and energetics affected by the assistance are not well understood. In this study, human-exoskeleton simulation based optimizations were performed to find optimized...

... reality data exchange computer-aided engineering optimization product development visualization 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...

... structure optimization. By comparing the GM-VAE and a regular variational autoencoder (VAE), we demonstrate that (i) GM-VAE has the advantage of learning capability, and (ii) GM-VAE discovers a more diversified design set (in terms of the distribution in the performance space) in the unsupervised learning...