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446                                                                Chapter 9



            affair), build your computer model in AUTOCAD, CATIA, or another design tool. That
            makes your model universal and acceptable by most commercial EM software packages.
        11. You probably  found that  the numerical  simulation ran too long or too big for  your
            computer. If so, break a big, overwhelming project into smaller, manageable parts.  Look
            back at Section 5.4 of Chapter 5 and decompose your model in Lego style. For example,
            you can design and optimize the conical horn separately using the data from steps 2 - 4.
            We are not going to collaborate further.
        12. In the same manner, the separate Ka-band antenna of smaller diameter can be designed. If
            you are lazy enough to do so, ask yourself the “million-dollar question” - “Do the system
            require two dishes or could a single bigger diameter reflector operate simultaneously on
            Ku- and Ka-band and meet all the specs in Table 9.1?” If you have some ideas, visit your
            manager and meet a customer for discussion.
        13. Do not trust the results of numerical simulations explicitly, use any available opportunity
            to revise and cross-check their correctness. The intuition and common sense are the front
            lines of your defense.
        Finally, after several steps of validation and confirmation as Figure 9.1.5 demonstrates, you
                                         came to the point of reviewing the conceptual model
                                         and correcting the mathematical model by increasing
            Physical Object              the  model  complexity  to  better  match  the  specs.
                                         Suppose you were lucky and reached in the right spirit
                                         (green smiley in Figure 9.1.2) the mechanical engineer
                                         is  responsible  for  antenna  manufacturing.  His/her
                                         reaction  might be the same size smile  meaning full
                                         acceptance of proposed design. But more likely, it will
                                         be said that your design includes some non-existent,
                                         inaccessible, or too expensive materials. Besides, you
            Figure 9.1.5 Computer model   must change this and that  to make  your antenna
            validation and confirmation   producible. Getting this extensive list of remarks, you
                                         returned to your computer and models. In the worst
        case, the conclusion might be disastrous: the proposed design is not producible in the available
        mechanical shops. So you could start almost from the beginning or speak to another more
        creative mechanical engineer. Hopefully, you were careful and discussed your project with
        mechanical engineers several times before finishing it and avoided such unpleasant situation.
        To end, you have gotten the green light with or without some reservations and sometime later
        received your antenna ready for test and final validation.
        All being  well, the test demonstrates  several  minor discrepancies that  can  be  corrected  by
        adjusting  merely  your final model.  It  means that after  passing  the vibration and  shock,
        environment and all other required tests without surprises the antenna is ready to customer
        delivery. The manager recognizes you as a gifted engineer and starts discussing a new even
        more challenging project.

        It is important to note that an appropriate numerical solver has to be chosen for each EM field
        problem. That requires lots of attention to details and needs the correct numerical method based
        on the problem at  hand. Several issues should be taken into accounts such as the required
        accuracy in modeling complex geometries, computer memory requirements, and computational
        time.
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