This paper describes the conceptual foundations to construct a method on Computer Aided Innovation for product development. It begins with a brief recap of the different methodologies and disciplines that build its bases. Evolutionary Design is presented and explained how the first activities in Genetic Algorithms (GAs) helped to produce computer shapes that resembled a creative behavior. A description of optimization processes based on Genetic Algorithms is presented, and some of the genetic operators are explained as a background of the creative operators that are intended to be developed. A summary of some Design Optimization Systems is also explained and its use of splined profiles to optimize mechanical structures. The approach to multi-objective optimization with Genetic Algorithms is analyzed from the point of view of Pareto diagrams. It is discussed how the transition from a multi-objective optimization conflict to a solution with the aim of an ideal result can be developed means the help of TRIZ (Theory of Inventive Problem Solving), complementing the discipline of Evolutionary Design. Similarities between Genetic Algorithms and TRIZ regarding ideality and evolution are identified and presented. Finally, a brief presentation of a case study about the design of engine crankshafts is used to explain the concepts and methods deployed. The authors have been working on strategies to optimize the balance of a crankshaft using CAD and CAE software, splines, Genetic Algorithms, and tools for its integration [1] [2].
This paper addresses the use of Solar Thermal Energy to continuously generate electrical energy with a commercially available Turbo-Charger driving an Electrical Generator. The system is based on Brayton´s thermodynamic cycle and the energy is provided by a thermal accumulator. We propose that using air as the working media, the compressor element is capable of producing sufficient boost to achieve a useful level of efficiency for the cycle at the operating speed range claimed by the factory. The design or selection of the other important components of the system, such as the electrical generator, the starting motor, the electrical drive, the rectifying and inverting of the current is discussed. A parametric analysis that proves the theoretical feasibility of this model is included.
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