A multi-material level set-based topology and shape optimization method

288 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An improved soft-kill BESO algorithm for optimal distribution of single or multiple material phases (2015, methodology): “Apart from homogenization-based methods, different versions of level-set methods have also been introduced to solve multi-phase material distribution problems (see for example Zhou and Wang 2007; Wang and Wang 2004; Wang et al 2015).”
A new multi-material level set topology optimization method with the length scale control capability (2018, unknown): “Other than the ‘color’ level set method, Wang et al. [29] proposed the Multi-Material Level Set (MMLS) 。 This method represents 1 material phases by (cid:1865) level set functions through the whether or not logic.”
Current and future trends in topology optimization for additive manufacturing (2018, methodology): “Even though multi-material topology optimization (Wang and Wang 2004; Wang et al. 2015) can readily solve this problem, how to customize the algorithm to facilitate the AM process planning remains a tough problem.”
A multi-material topology optimization algorithm based on the topological derivative (2019, methodology): “The level set method based on shape sensitivities and a Hamilton-Jacobi equation was generalized to the multi-material case in [ 2, 29, 30 ] and similar techniques have also been used in image segmentation [ 28 ] .”