One of the open issues in principle scheme design of mechanical systems is principle representation,which not only outlies the physical principles,but also facilitates the design synthesis.An energy-based approach to represent principle scheme design is proposed.Firstly,an energy interaction model of mechanical systems is established and an intermediate model is derived,in which principle scheme design is transformed into solving the energy functions of system.Then the energy functions are modeled with the language of bond graphs,and principle representation for componenyts is presented.Finally,characteristics of the developed representation approach are analyzed and a design example of gate drive system is given to demonstrate this approach.
This paper proposes a new cell intuition simulation method which is a combination of intuitive simulation calculation method and the operation of binary image,and applied it in the innovation of the graphic design process.First of all,we study how to express a variety of graphics,and establish the definition of cell intuitive model,work out the cell intuitive operation process and many new cellular operators such as a variety of matrix blocks crossover operator,a variety of matrix blocks mutation operator,matrix blocks replace operator,matrix blocks compression operator,matrix blocks extension operator.By choosing two or more cells and selecting the artificial selection or fitness selection,we can set up and visualize the design and pick the best design results.Finally,validation is made on this algorithm by an example,and a innovation graphic is also represented.
The process of division, growth and death for tumour cell mass in the early is simulated. An integrated GUI is provided for users to set the value of each parameters, which are cell growth rates, cell mass division rates, cell mass death rates, simulate type, maximum running time, polarity and cell colour. It can display the growth process of each cell on result GUI. Also, it can display the values of each parameters for observing and analysing in current life cycle on result GUI, which are cell mass division times, cell mass death rate, cell mass division rate and cell mass growth rate. In the process of simulation, The cell growth rate is described by the approach to combine the exponential model with the linear model. In addition, a linked list data structure to store the tumour cells is used by the cellular automata for a reference to determine the position of each cell. It sets up two linked list to store the cells, one of them save the new small division cells and the other one save the big cell. That can make the painting process of cells on result GUI clearer and more organized. At last, the polarity of tumour growth is described for determining the growth direction of cells.
