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read barcode scanner in c#.net PLANNING FOR DESIGN, FABRICATION, AND ASSEMBLY in Software
PLANNING FOR DESIGN, FABRICATION, AND ASSEMBLY Scanning QR Code JIS X 0510 In None Using Barcode Control SDK for Software Control to generate, create, read, scan barcode image in Software applications. Drawing QR Code In None Using Barcode creator for Software Control to generate, create QR Code image in Software applications. TABLE 19.2 Typical Layout Efficiencies Design scenario Through hole, rigid Surface mount/mixed Surface mount/mixed Surface mount only Surface mount/mixed Surface mount/mixed Builtup technologies Conditions Gridded CAD W/wo back side passives, gridless CAD W/back side actives, gridded CAD W/wo back side passives, gridless CAD 1sided blind vias, gridless CAD 2sided blind vias, gridless CAD 2sided microblind vias, gridless CAD Efficiency* (%) 6 12 8 15 9 18 Up to 20 Up to 25% Up to 30 Up to 50% Decode QRCode In None Using Barcode recognizer for Software Control to read, scan read, scan image in Software applications. Create QR Code In C#.NET Using Barcode generator for VS .NET Control to generate, create QR Code JIS X 0510 image in VS .NET applications. * Determined from analysis of printed circuit designs (actual wiring capacity from the CAD system divided by maximum wiring capacity (Eq. 19.4). Make QR In VS .NET Using Barcode creation for ASP.NET Control to generate, create QR image in ASP.NET applications. QR Code ISO/IEC18004 Generation In VS .NET Using Barcode maker for Visual Studio .NET Control to generate, create QR Code image in Visual Studio .NET applications. 19.4.5.1 Wiring Demand Models. Seven wiring models are reported in the literature, but the first three are used commonly. The three wiring models include: Print QR Code In VB.NET Using Barcode creator for .NET framework Control to generate, create QRCode image in Visual Studio .NET applications. Encoding GTIN  12 In None Using Barcode encoder for Software Control to generate, create UPCA image in Software applications. Coors, Anderson & Seward Statistical Wiring Length4 Toshiba Technology Map5 Hewlett Packard (HP) Design Density Index6 Code 128 Code Set B Generator In None Using Barcode creation for Software Control to generate, create Code 128 Code Set A image in Software applications. Print Bar Code In None Using Barcode creator for Software Control to generate, create barcode image in Software applications. The other four wiring models include: GTIN  128 Generation In None Using Barcode maker for Software Control to generate, create EAN / UCC  13 image in Software applications. Making Code 39 Full ASCII In None Using Barcode maker for Software Control to generate, create USS Code 39 image in Software applications. Equivalent ICs per square inch7 Rent s Rule8 Section Crossing9 Geometric Analysis10
Printing Identcode In None Using Barcode generator for Software Control to generate, create Identcode image in Software applications. Make Code 128 In .NET Using Barcode encoder for Visual Studio .NET Control to generate, create USS Code 128 image in .NET applications. 19.4.5.1.1 Coors, Anderson, & Seward Statistical Wiring Length. This wiring demand model is based on a stochastic model of wiring involving all terminals. The probable wire length is calculated based on the distance of a second terminal and the spatial geometry of all other terminals. This is the most recently determined wiring model and represents the most practical approximation of surface mounting technology. Eq. 19.5 presents the mathematical model that results. d = D * Ni/A (in. per sq. in.) where D = ave. interconnection distance (in.) D = E(x)*G E(x) = expectation of occurrence G = pad placement grid (in.) Ni = total number of interconnections A = routing area (sq. in.) (19.5) Painting EAN13 In VS .NET Using Barcode creation for Reporting Service Control to generate, create EAN / UCC  13 image in Reporting Service applications. Painting EAN13 Supplement 5 In None Using Barcode creation for Online Control to generate, create EAN13 image in Online applications. Equation 19.6 for E(9x) is the E(x) = 1 ((S T )(S a 2))e^aS + S(2 (S T )a)e^ a(S T ) 2T a (S T )e^aS Se^a(S T ) + T (19.6) Read Barcode In Java Using Barcode recognizer for Java Control to read, scan read, scan image in Java applications. Drawing GS1 DataBar Truncated In Java Using Barcode creation for Java Control to generate, create GS1 DataBar Limited image in Java applications. PRINTED CIRCUITS HANDBOOK
EAN / UCC  14 Printer In ObjectiveC Using Barcode generation for iPad Control to generate, create GS1 128 image in iPad applications. Barcode Generator In Java Using Barcode generator for Java Control to generate, create bar code image in Java applications. 45 0 CH IN
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1 1 10 100 Component Complexity (ave leads / part) FIGURE 19.11 Packaging technology map.
where
S T a a M N Ni
=M+N = (M^2 + N^2)^.5 = ln a = empirically derived constant = 0.94 = board width of grid point = (width/G) +1 = board length of grid point = (length/G) +1 = 2*Nt/3 19.4.5.1.2 Toshiba s Technology Map. The packaging technology map is a simple technique to predict a PWB, ChipOnBoard, or MCML wiring demand and its assembly complexity. By plotting components per square inch (or components per square centimeter) against average leads per component on a Loglog graph (see Fig. 19.11), you can calculate the wiring demand WD in inches per square inch (or centimeters per square centimeters) and assembly complexity in leads per square inch (or leads per square centimeter). Eqs. 19.7 and 19.8 show the equations for these two metrics. Wiring Demand WD = b (comp)0.5 (leads) where b = wiring coefficient (typically 3.5 but can vary from 2.5 4.0 on average; notes/net is a good approximation) comp = components per board area in sq. in. or sq. cm. leads = average leads (connections) per component Assembly Complexity = (comp) (leads) comp = components per board area in sq. in. or sq. cm. leads = average leads (connections) per component (19.8) (19.7) PLANNING FOR DESIGN, FABRICATION, AND ASSEMBLY
Parts per Sq. Inch 100
Actual Wiring Connectivity: In./Sq.In.
Leads/Sq.In.
50 70 100 200 300 60 80 120 160 180 240 320 in./sq.In.
Packaging Density: Leads/Sq.In.
FIGURE 19.12 Wiring and assembly density.
10 Ave Leads per Part
Using these two equations, Fig. 19.12 shows lines of constant wiring demand (in cm. per sq. cm or in. per sq. in.) and assembly complexity (in leads per sq. cm. or sq. in.) that can be plotted on this chart (see Fig. 19.11). 19.4.5.1.3 HP s Design Density Index. Another metric is called the Design Density Index (DDI). It is a correlation of the actual design rules for a PWB compared to the DDI metric. Equation 19.9 gives DDI, and Fig. 19.13 shows a typical calibration chart. DDI = 13.6 (EIC/board area)^1.53 where EIC (equivalent integrated circuits) = total component leads/16 board area = top surface area of a PCB (sq. inch.) (19.9) The chart shown in Fig. 9.13 gives a good visual record in PWB layout of a company s efficiency. As various PC boards are charted, their DDIs form a distribution. This distribution is a form of layout efficiency (e) since at the bottom of the distribution, more EICs are connected than at the top of the distribution. 19.4.5.1.4 Density of Equivalent ICs. EIC per unit area has been a traditional measure of density since the introduction of CAD systems in the early 1970s. A simple measure of the number of electrical connections required per unit area of the board, it remains in use with

