Various areas of design exist in which there are still significant challenges in developing clear agreed models of the design attributes concerned; example areas are costing and systems modelling. The use of optimization enforces a need to provide design evaluation tools in all the areas of design which are key to the important design choices. The requirement is not to make large leaps in technology overnight, but to fairly capture the ways in which the design is evaluated in practice by the design team and formally acknowledge these.
To automate idealization, and provide closer integration between the Design office and the analysis departments Aerodynamics, Structures, Electromagnetics etc the activities of:. It is typical for design data to be created to a standard which is unfit for any of the above operations. Without automation of these, full use of CAD models cannot be achieved, and even the use of analysis models will be less effective. The use of optimization will undoubtedly bring these automation issues into focus.
Top level design metrics must inevitably reflect how the product is manufactured, operated in the field, and supported. The production and operating scenarios provide a framework to bring into focus the important cost, performance and customer satisfaction issues. The scenarios to be defined may need to encompass any or all of the following areas:.
This know how is the collective distillation of experience from having done similar jobs before and build up knowledge of the designs.
Design optimization, which allows thousands of designs to be experimented with on a computer, speeds up learning process. By trying out designs which are diverse, it promotes a broadening of knowledge of the solution possibilities and increases engineering understanding. If the results of investigating a broader design range are condensed and stored suitably, an advanced knowledge base can be built for future reference.
For many industries, time-to-market is a key issue. The ability to consider and evaluate many designs in a short period of time may confer a decisive advantage over the competition. En Ru. Sign In Create Account. Industry Solutions Academic Program. Consulting Training. About Us Careers Team Publications. Kelley, T. Optimization, an important stage of engineering design. The Technology Teacher, 69 5 , Engineering Education Commons. Advanced Search. Authors Todd R.
Abstract The presents information on optimization, an important stage of engineering design. Recommended Citation Kelley, T. Find in your library. Included in Engineering Education Commons.
0コメント