... with the complexity and the speed of knowledge generation. To address this challenge, additional sources of knowledge are necessary, particularly for designing unprecedented engineering systems lacking any design heritage. One promising approach involves analyzing optimized designs to extract valuable insights...

... process. The method uses level sets of radial basis functions to fully define the scaffold geometry with a small number of design variables, minimizing the optimization’s computational cost. Effective elastic properties of the scaffold as a function of the scaffold design and the bone density are obtained...

..., and flow splits are added only when required and at the location of heat devices. To generate different architectures, candidate architectures are represented as graphs. From these graphs, dynamic physics models are created automatically using a graph-based thermal modeling framework. Then, an optimal...

... method is introduced in this research to identify the optimal design including the product configurations and parameter values considering uncertainties in both product configurations and parameters. In this work, an AND-OR tree is used to model feasible design candidates and their configurations...

... integrated customer preference modeling into optimal design, the problem was formulated from a single entity’s perspective, and the competition between multiple enterprises was not considered in the formulation. Network science has offered several solutions for studying interdependencies in various system...

... pulley is illustrated in detail. An optimization process based on the brute force method is presented to identify the optimal parameters to minimize the compensation error. A cable-driven serial robot based on the decoupling method is prototyped for assessments. Experiments are conducted to evaluate...

... to solve difficult optimization problems or generate large datasets, opting for the development of efficient design representations which offer a high range of possible design variants, while at the same time generating design spaces with attributes suitable for computational methods to explore...

... such as configuration design and spatial packaging optimization. References [1] Peddada , S. R. T. , Dunfield , N. M. , Zeidner , L. E. , James , K. A. , and Allison , J. T. , 2021 , “ Systematic Enumeration and Identification of Unique Spatial Topologies of 3D Systems Using Spatial Graph...

...Hao-yu Liao; Yuhao Chen; Boyi Hu; Sara Behdad Disassembly is an essential step for remanufacturing end-of-life (EOL) products. Optimization of disassembly sequences and the utilization of robotic technology could alleviate the labor-intensive nature of dismantling operations. This study proposes...

... and provide an optimal pathway for system designers to effectively account for future system operations at the design stage. In order to achieve optimal performance over the system’s lifecycle, post-design decisions and system operating performance can be incorporated into the initial design with the aid...

... an R–R joint. The link parameters of the mechanism are optimized to maximize the folding ratio while avoiding interference. Then, the optimized PM units are piled up to construct a novel 1DOF multilayer mechanism that has the largest folding ratio among similar structures in the literature. Moreover...

... − 1 ≤ α L i ≤ 0 ∑ j = 1 d i { ϕ log ( u L i j ) + log [ Φ ( − α L u L i j + β i 1 − α L i 2 ) ] } Equation (21) presents a one-dimensional nonlinear optimization...

... in the J ournal of M echanical D esign . 16 11 2020 18 03 2021 19 03 2021 28 05 2021 Gaussian processes evolutionary programming extrapolation optimization Emulation or surrogate modeling has become an indispensable part of many scientific and engineering...

... optimization cooperative 3D printing manufacturing scheduling task assignment multi-robot system Led by major industrial countries, the initiative of Industry 4.0 [ 1 ] is poised to reshape the traditional manufacturing landscape, pointing the future of manufacturing toward data-driven smart...

...Pinar Acar We present a new sampling method for the multi-scale design of polycrystalline materials, which improves the computational time efficiency compared to the existing computational approaches. The solution strategy aims to find microstructure designs that optimize component-scale mechanical...

... proposed in the literature. Additionally, the proposed approach is suitable for both point and cross receptances. Assignment is cast as a constrained non-convex non-linear minimization problem and the proposed solving strategy is based on the homotopy optimization approach. The method effectiveness...

... are found to enable lower power transfer between rotors during operation when compared with straight-cut rotors, but with reduced swept volume for the same machine size. For particular applications, this compromise is characterized through multi-objective optimization of the rotor profile and wrap angle...

...Ping Hu; Lei Yang; Baojun Li A technique based on a skeleton-section template for parameterizing finite element (FE) models is reported and applied to shape optimization of thin-walled beam components. The template consists of a skeletal curve and a set of cross-sectional profiles. The skeletal...

...Zeng Meng; Dequan Zhang; Zhaotao Liu; Gang Li Due to the nested optimization loop structure and time-demanding computation of structural response, the computational accuracy and cost of reliability-based design optimization (RBDO) have become a challenging issue in engineering application. Kriging...

...Junqi Yang; Hongyi Xu; Zhenfei Zhan; Ching-Hung Chuang Design optimization of composite structures is a challenging task due to the large dimensionality of the design space. In addition to the geometric variables (e.g., thickness of each component), the composite layup (the fiber orientation...