Microfluidic Devices Based On Axiomatic Design Of Robust Optimization Design

The axiomatic design theory is the fundamental basis of design as it has established a scientific foundation for the design so that can provide a basis for the creation of a product. However, some imperfect aspects existing sort of limit the application of it, in particular, there is no such a method to calculate the information content effectively and efficiently. The relationship between axiomatic design and robust design is also an area of research focus as robust design has been widely used in the world. Axiomatic design theory emphasizes which parameters are chosen in the conceptual stage and the robust design emphasizes how each parameter is determined after the conceptual design, however, the design has minimum information content is the best one in the perspective of robust design.Axiomatic design theory has shown its usefulness in design evaluation, which concerns the second axiom, namely information content (IC) axiom. The IC axiom is supposed to evaluate design options. In the current literature, the algorithm for computing the IC axiom is usually based on the assumption that the probability density function of design is uniform, which is far from true in the context of manufacturing. The paper proposes an algorithm or method to compute the IC for any type of probability density function. The algorithm is based on Monte Carol simulation technique and it’s suitable to coupled design and decoupled design with or without redundancy. An example is taken to illustrate the algorithm and show its effectiveness.Based on COMSOL, the finite element analysis of the micro-fluidic device which is designed following the guidance of axiomatic design theory is performed, then design the experiments and obtain the influence of the control factors affecting the production process of the micro-fluidic device.