Page 17 - Chip Scale Review_November-December_2023-digital
P. 17

And in the case of extremely large exposure field (e.g., 250mm
        x 250mm) lithography systems, these differences in overlay
        create a major yield challenge, especially for high-volume
        manufacturing.
          First, let’s define total overlay. Total overlay is the summation
        of the overlay errors for all RDL layers, with respect to the
        bookending final layers on either side of the panel (Figure 1).
        Cumulative overlay drift from individual RDL buildup layers
        can significantly increase overall trace length. This may result
        in higher interconnect resistance, parasitic effects and poor
        performance for high-speed and high-frequency applications.
          As each RDL is added to the film stack, layer-to-layer overlay
        data needs to be continuously monitored. If the total overlay
        error exceeds specifications at any point, and at any location
        on the panel, corrective action must be taken to mitigate total
        overlay drift or else the design resistance specifications for a
        package may be exceeded.
          You can think about total overlay like this: if the overlay
        drifts  5µm per layer, and there are 10 layers, the total RDL
        length will increase by 45µm. This problem is exacerbated as
        the number of layers increases, i.e., in a 24-layer RDL stack, the
        interconnect length would increase by 115µm.
          To address the total overlay challenge, manufacturers should
        employ an overlay tracking system, one that incorporates
        metrology, lithography and analytics that records measurements
        for every RDL-to-via overlay across the entire panel and sums
        the vectors, from layer to layer, as the process stack grows. With
        such a system, the manufacturing team could use inspection and
        data analytics to track and compensate for multi-layer overlay
        drift. The tracking system would generate an error signal when
        cumulative overlay error exceeds thresholds, and the required
        overlay correction offsets would then be calculated and sent to
        the lithography system. Without a suitable tracking system in
        place, manufacturers have no way of knowing if RDL resistance
        meets specification until final electrical test (e-test). By that
        point, resources, time and money will have been wasted.

        Yield challenges
          Now that we’ve discussed total overlay drift, let’s explore
        AICS package yield and its importance in fostering a cost-
        effective, high-throughput process. As previously mentioned,
        AICS have relatively few packages per panel. For example,
        a 510mm x 515mm AICS panel can only accommodate 16
        packages (120mm x 120mm) compared to FOPLP, which could
        have over 2,300 packages. That’s a significant difference. One
        defective package on an AICS could result in a 6.25% yield
        loss, whereas with FOPLP, one defective package may only
        represent a 0.04% yield loss.
          To make matters even more complicated, the yield challenge
        is exacerbated because as the AICS package size increases to
        150mm x 150mm, a single defective package failure results in
        an 11% yield loss, which is a significant decrease in an industry
        that operates under extremely narrow margins. In addition,
        the requirement to process both the frontside and backside of
        the AICS offers another risk: surface contamination leading to
        defects that result in yield loss.
          It takes a few weeks to complete the processing of an AICS.
        Only by knowing the yield of an entire fab’s AICS inventory,
        in  real  time,  will  productivity  be  evaluated  accurately.
        Furthermore, panel yield needs to be assessed in terms of


                                                                                                             15
                                                       Chip Scale Review   November  •  December  •  2023   [ChipScaleReview.com]  15
   12   13   14   15   16   17   18   19   20   21   22