Optimization of Time Series Properties by Material Design System based on Weak Conditioned Combinatorial Linear Programming

Abstract

We had developed a novel material design method (weak conditioned combinatorial linear programming method). By defining solution area as a function of combination index, the optimum formulations are acquired. This optimization can be done by newly developed user-friendly software. This system is not applicable to complex properties and time series properties. For the development of adhesives, precise control of complex properties and time series properties are important. We tried to extend the system to complex properties and time series properties. The method is applicable to the design of adhesives which have complex properties.