Multi-objective optimization by technical laws and heuristics

Common design principles apply to design of mechanical and biological machine structures. Most of the main properties of machines and creatures are determined by programmed genetics. These determine the geometry, material selection, functioning of machines and biological creatures and the fitness for service. The present approach of innovation and optimum design is based on basic mechanics with fuzzy goal formulations and heuristics, like axiomatic design. These models are combined synergistically to formulate the desired properties of the machines. First, engineering mechanics and heuristics are shown to have a finalistic guidance on the conceptual design of optimal fluid conveying channels consisting of a branch and a closing device. Then a multi-objective algorithm is tested in an industrial case study design of a preloaded screw fastened flange plate and it is shown to be a reliable tool for testing and innovating new solutions. The goals and constraints are modellled consistently by the same goal function form. The joints have to be reliable against risks of separation, relaxation, fatigue and creep fracture due to pressure differences. Compared to conventional results it gives nearly the same technical and safety functions even at half the cost. This approach is useful for optimizing new concepts and also existing machine designs showing possibilities for notable cost savings. © 2009 Springer-Verlag.