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Certain types of parts lend themselves very well to being built in sections. For very complex parts with a lot of features, this sometimes makes sense from the point of view of segmenting the rebuild times for parts with hundreds of features. The example used to demonstrate this technique is a large plastic part built entirely from ribs, and making use of literally hundreds of solid bodies, and is shown in Figure 26.11 and Figure 26.12. This part is molded using tooling pulls in five directions. Two of these directions are symmetrical, and the core block pulls in a single direction; as a result, in the end, the modeling has to account for three directions. The rebuild time for a model like this can easily reach several minutes, depending on your hardware. To minimize the rebuild time, a different workflow was established for this part. First, the major inside and outside faces were created with surfaces. Next, the surfaces were saved into several other parts (using Master Model techniques that are discussed in 28). Each of these parts represents the part geometry that will pull in a particular direction from the mold. Enough information exists in the Master Model to align the features in each part. The ribs on this part were created by making a single extrusion (the Rib feature could not be used because there was no geometry to serve as a boundary for the ribs), and then the extrusion was patterned and the pattern was mirrored. After all of the ribs were created, they had to be shaped, and so the surfaces from the Master Model were used to cut the ribs to shape. The ribs could not be extruded with a draft or with fillets because the outer and inner surfaces were non-planar. The draft had to be built as a Parting Line draft for the same reason, and the fillets had to be applied after the draft. Further, draft and fillets can only be applied to a single body at a time; as a result, a separate draft feature and a separate fillet feature had to be applied to each body, and each rib was a separate body. Once the draft and fillets were applied, the bodies were joined into a single body. I recognize that this description of how I made the part is a lot to follow. The point is not to show in detail how the parts were built, but to demonstrate how you can get to a part with 1200 features or more. It is precisely on parts with this level of complexity that you need to think about modeling the part in this modular fashion build each part separately and bring each separate section of the part together as individual bodies. Figure 26.11 shows two of the separate pull direction parts being separated from one another in the same way that the mouse part was shown exploded in the previous example. Here the frame is also modeled as a separate part, again because it was not so intimately related to the other parts, and was easily separated out. Once this was complete for each direction, the separate parts were put together as bodies into a single part and again joined together using the Combine feature. Having all of those features in separate parts enables you to segment the rebuild time. This is the opposite of building all of the parts of an assembly in a single part, where you are simply compounding your rebuild time. Figure 26.12 shows bodies joined together as a single body.
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Toolbox, then sharing Toolbox should be good enough. However, if you share assemblies with Toolbox users who do not share your Toolbox library, then you should probably go through the exercise of populating all your parts with all the available configurations. If you do not receive assemblies from outside of your group with Toolbox parts in the assembly and you have network performance problems, it may be a good idea to install Toolbox locally, but to set it to use the Create Parts setting, where the parts are on a shared network location. If you use a Product Data Management (PDM) system, then I would definitely install Toolbox locally and use the Create Parts setting. The sharing occurs through the PDM system. Library parts should be non-revision managed parts, but you may want to have a representation of the fasteners so you can do where-used searches and BOMs. The least problematic technique is to turn Toolbox off altogether and either buy or make your own library of static parts. You can then distribute these files internally in your organization, as well as to any other people upstream or downstream from you who also share files with you. You can build this type of library by using Toolbox s config population tool; materials or other custom properties are then dealt with the way you want, likely using auto-created design tables. Of course, there is a downside to this too, and it is that you lose all the nice automation features available with Toolbox. The best option if you want to keep Toolbox is to use the Copy Parts option, install locally, use a PDM system, and if you get assemblies from Toolbox users who aren t part of your network, insist that they either use your parts or send you their parts. For a more complete discussion of the administration issues surrounding SolidWorks Toolbox, please refer to the SolidWorks Administration Bible (Wiley, 2009).
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The IS-95 standard supports dual-mode operation: CDMA and analog (AMPS). Analog operation is discussed in 12; this chapter discusses the CDMA operation, based on the ANSI/TIA/EIA-95B standard [7].
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but everything else goes through without change. Thus minimizing the maximum bias leads to a rather uneventful theory; for symmetric unimodal distributions, the solution invariably is the sample median.
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Understanding what you are doing with file management is imperative when working with parts that depend on in-context features. Because the references are stored in both the part that is doing the referencing and the assembly where the reference is created, improperly changing the name of either document or even the referenced document is bound to cause problems. For example, if you rename an in-context part using Windows Explorer, then the assembly will not recognize the part, as I demonstrated in an earlier chapter. This also means that any in-context references will not update. The part will show the out-of-context symbol.
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Result:
4: Exploring the Desktop
Splitting with a plane
The one situation where this technique does not work as expected is when you are working on a part in the context of the assembly, with the design tree rolled back. The down arrow simply causes the Rollback bar to roll immediately to the end of the design tree. This bug existed at least as far back as 2007, and persists in 2009.
In the previous chapter, we treated conventional transceivers that transmit an uncoded bitstream over fading channels. For Additive White Gaussian Noise (AWGN) channels, such an approach can be quite reasonable: the Bit Error Rate (BER) decreases exponentially as the Signal-to-Noise Ratio (SNR) increases, and a 10-dB SNR leads to BERs on the order of 10 4 . However, in Rayleigh fading the BER decreases only linearly with the SNR. We thus would need an SNR on the order of 40 dB in order to achieve a 10 4 BER, which is clearly unpractical. The reason for this different performance is the fading of the channel: the BER is mostly determined by the probability of channel attenuation being large, and thus of the instantaneous SNR being low. A way to improve the BER is thus to change the effective channel statistics i.e., to make sure that the SNR has a smaller probability of being low. Diversity is a way to achieve this. The principle of diversity is to ensure that the same information reaches the receiver (RX) on statistically independent channels. Consider the simple case of an RX with two antennas. The antennas are assumed to be far enough from each other that small-scale fading is independent at the two antennas. The RX always chooses the antenna that has instantaneously larger receive power.1 As the signals are statistically independent, the probability that both antennas are in a fading dip simultaneously is low certainly lower than the probability that one antenna is in a fading dip. The diversity thus changes the SNR statistics at the detector input.
Robust Statistics, Second Edition. By Peter J. Huber Copyright @ 2009 John Wiley & Sons, Inc.
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ACKNOWLEDGEMENTS
1. Howard Wainer, Picturing the Uncertain World: How to Understand, Communicate and Control Uncertainty Through Graphical Display (Princeton, NJ: Princeton University Press, 2009).
BIBLIOGRAPHY
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