Product design: An optimization-based approach for targeting of particulate composite microstructure. (2nd September 2020)

• Record Type: Journal Article
• Authors: Mushtaq, Faheem; Zhang, Xiang; Fung, Ka Yip; Ng, Ka Ming
• Is Part Of: Computers & chemical engineering. Volume 140(2020)
• Publication Date: 2020-09-02
• Subjects: Structure-property relationship -- Microstructure optimization -- Particulate composite -- Die attach adhesive; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2020.106975
• Languages: English
• ISSNs: 0098-1354

Abstract

Abstract: The microstructure of a particulate composite with given ingredients has enormous influence on its physicochemical properties. An optimization-based approach is presented for determining the target of two-component particulate composite microstructure. The dominant physicochemical phenomena are captured by the relevant gradient-based transport equations. Particles of different size, shape, and orientation are placed in the composite to maximize a desired physicochemical property. The formulated problem is readily solved via mixed-integer non-linear programming. A case study is performed on the design of a die attach adhesive the objective of which is to obtain the maximum effective thermal conductivity at different loadings of the nano filler particles.