... the hyperparameters of easily reproducible machine learning models including random forest, k-nearest neighbors, and deconvolutional neural network model for predicting the three optimal topology problems. We show that under both direct inverse design and when warm starting further topology optimization, using MSE...

... . 29 10 2023 25 05 2024 17 06 2024 19 07 2024 Graphical Abstract Figure life cycle analysis carbon footprint allocation low-carbon optimization design for the environment topology optimization National Natural Science Foundation of China 10.13039...

...Weisheng Zhang; Qi Lai; Xu Guo; Sung-Kie Youn This paper presents a new topology optimization scheme for the manufacturable piezoelectric energy harvesters (PEHs). Most of the existing topology optimization schemes for the design of PEHs are difficult to cope with manufacturing constraints...

... such that no isolated islands exist. Increasing an EAP’s performance using topology optimization while ensuring electrode connectivity is the goal of this work. A topology optimization formulation is introduced where electrode connectivity is ensured using the virtual temperature method. Numerical experiments...

...Nathan Hertlein; Kumar Vemaganti; Sam Anand Additive manufacturing (AM) has enabled the production of intricate lattice structures with excellent performance and minimal mass. Design approaches that consider static loading, including lattice-based topology optimization (TO), have been well...

...Taisei Kii; Kentaro Yaji; Kikuo Fujita; Zhenghui Sha; Carolyn Conner Seepersad Topology optimization is one of the most flexible structural optimization methodologies. However, in exchange for its high level of design freedom, typical topology optimization cannot avoid multimodality, where multiple...

... Abstract Figure design of multiscale systems topology optimization programmable Poisson's ratio periodic composite function National Natural Science Foundation of China 10.13039/501100001809 12102375 Natural Science Foundation of Fujian Province 10.13039/501100003392...

...Waheed B. Bello; Satya R. T. Peddada; Anurag Bhattacharyya; Lawrence E. Zeidner; James T. Allison; Kai A. James This article presents a novel three-dimensional topology optimization framework developed for 3D spatial packaging of interconnected systems using a geometric projection method (GPM...

...Joel Najmon; Andres Tovar Neural networks have gained popularity for modeling complex non-linear relationships. Their computational efficiency has led to their growing adoption in optimization methods, including topology optimization. Recently, there have been several contributions toward improving...

... 08 2023 17 11 2023 21 11 2023 22 12 2023 constant force mechanism additive manufacturing midsoles energy return running economy compliant mechanisms design optimization structural optimization topology optimization The midsole design in running footwear...

...Hongrui Chen; Aditya Joglekar; Levent Burak Kara We propose conditioning field initialization for neural network-based topology optimization. In this work, we focus on (1) improving upon existing neural network-based topology optimization and (2) demonstrating that using a prior initial field...

... of innovative devices design of machine elements design optimization design validation multidisciplinary design and optimization product design product family design Structural optimization Topology optimization user-centered design Massachusetts Institute of Technology 10.13039/100006919...

...Zhuo Huang; Ye Tian; Kang Yang; Tielin Shi; Qi Xia A shape and generalized topology optimization method based on the level set-based density method is proposed to design the curved grid stiffeners. The overall layout of the stiffeners is described by combining many single stiffeners, and each...

... Automation Committee of ASME for publication in the J ournal of M echanical D esign . 27 01 2023 06 07 2023 10 07 2023 16 08 2023 conceptual design design methodology design optimization multidisciplinary design and optimization simulation-based design topology...

... adversarial network (cGAN) is utilized to control design parameters. In the second stage, topology optimization (TO) is embedded into cGAN (cGAN + TO) to ensure that desired functionality is achieved. Tests on different combinations of loss terms and different parameter settings within topology optimization...

...Muhammad Salman Yousaf; Duane Detwiler; Fabian Duddeck; Stefan Menzel; Satchit Ramnath; Nathan Zurbrugg; Mariusz Bujny Topology optimization (TO) is used in the initial design phase to optimize certain objective functions under given boundary conditions by finding suitable material distributions...

... strategy. This systematic design methodology, based on topology optimization, introduces a novel computationally efficient approach for 3D dynamic problems requiring antiresonances at specific target frequencies subject to specific harmonic loads. The optimization’s objective function minimizes the error...

...Kangjie Li; Wenjing Ye; Yicong Gao It is well known that the computational cost of classic topology optimization (TO) methods increases rapidly with the size of the design problem because of the high-dimensional numerical simulation required at each iteration. Recently, the technical route...

...Hongye Gu; Hollis Smith; Julián A. Norato This work presents a method for the topology optimization of welded frame structures to minimize the manufacturing cost. The structures considered here consist of assemblies of geometric primitives such as bars and plates that are common in welded frame...

...Corey M. Parrott; Diab W. Abueidda; Kai A. James The computational cost of traditional gradient-based topology optimization is amplified for multidisciplinary design optimization (MDO) problems, most notably when coupling between physics disciplines is accounted for. To alleviate this, we...