Stability and repeatability are imperative in any
reflow oven today. If oven operation is not validated
periodically,all subsequent profiles and adjustments
are not reliable in finding or maintaining an optimum
reflow process window for products. This is
especially true for lead free where the actual process
window has shrunk to a fraction of what everyone is
used to when using eutectic solders.
Ovens have been validated using mock-up FR4
assemblies,where the assembly is wired with
thermocouples and used with a profiling unit.
Unfortunately,the thermocouples lift,the board
suffers warping and material degradation after only a
short number of passes through the oven. Stainless
steel and aluminum plates have been configured to
resemble a board,and are able to withstand repeated
thermal cycles. However the material is so alien
compared to FR4,the radically different thermal
conductivity of the material masks potential
weaknesses in oven design. If you want a true
characterization of all oven parameters,it’s important
to match these physical properties within a single test
tool. Therefore,to do proper thermal validation,it is
best to use a tool specifically designed for that job
rather than to try to create either type of vehicle
described above. The composites used to create the
pallet for thermal characterization and validation
equipment known generically as Machine Quality
Management tools (MQM) have highly insulating
properties similar to typical FR4 material as well as a
high tolerance for long endurance use in high
temperature environments.
For this experiment,we took a typical MQM tool and
investigated the performance of four different ovens.
The tool measured the uniformity of gas temperature
and the heat transfer characteristics and saved the
data from each oven which was downloaded into the
accompanying MQM software program for
comparison and analysis. Our goal was to find out
how easy or difficult it is to characterize specific
physical properties of a given oven design as they
relate to the soldering process and to see if the results
indicate a dramatic differences in oven performance,
specifically,the uniformity across the width and
length of the tunnel as well as the heat transfer
capacity.
Using an MQM tool,it was possible to characterize
specific physical properties of each oven to see if oven design significantly impacted the steady state
operation of the individual zones as well as the entire
heated length. We assumed the uniformity or lack
thereof in the measured air temperature along the
length of the tunnel and across the width of the tunnel
would have an impact on the ability to consistently
and uniformly heat the product to be run. The
difference in temperature as measured between the
air and the high mass sensors of the MQM tool
demonstrated the efficiency of each oven to transfer
heat,or heat transfer value. A higher heat transfer
value means tighter control over the reflow process.
This proportionality is related to the heat transfer
coefficient,however,is not the exact heat transfer
coefficient for any particular oven. Several tools exist
to characterize the heat transfer coefficient as well as
defining the portion of heating associated with
infrared energy.

One of the electronic assembly markets that has
been emerging in recent years is the automation
equipment associated with odd form component
placement and final product assembly. As with
insertion mount and surface mount equipment,the
procurement process of odd form equipment
typically includes having the machine provider
guarantee certain performance levels and provide
evidence from a machine qualification process that
the machine being shipped is actually capable of
performing to specification. Due to both the slower
tact times and higher component prices in many
typical scenarios (relative to most surface mount
and insertion mount applications),the sample sizes
and test hours required to verify odd form
equipment to the high quality levels that the
electronic assembly industry has come to expect -
with defects measurable in parts per million (PPM)
units - can be quite burdensome. Having to insert
tens or hundreds of thousands of parts during
machine qualification can be quite costly and timeconsuming.
For example,a test involving the
insertions of 20,000 parts with only one defect
would yield a performance estimate of 50 PPM.
But a test with this many real odd form parts would
be very costly.
One alternative method to demonstrate odd form
machine accuracy has relied upon placing surface
mount slugs instead of inserting odd form parts.
Slugs (pieces of glass with the image of an SMT
part etched on it,such as those defined in IPC-
9850),are easily placed on a board with sticky tape
and measured with a coordinate measuring
machine (CMM) in order to obtain very precise
variables data. The benefit of such a variables
approach (as opposed to a go/ no go “attribute”
approach,where each insertion or placement is
only characterized as good or bad,rather than being
precisely measured) is that a very small sample size
of parts can be placed in a slug run to gain a PPM
estimate with a high degree of confidence.
The downside to the slug approach is that these
parts are dissimilar from odd form parts in that they
cannot be inserted into holes,and even if they
could,without adhesive they would move around
after insertion,making the variables data for each
part incorrect. So this difference in the nature of
board assembly (between surface mount and odd
form assembly),combined with the fact that odd
form assembly equipment users use a wide range of
odd-shaped parts that are handled quite differently than slugs,has led us to consider alternative
approaches to estimating PPM that could either
replace or supplement the slug approach.
In this paper,a method used internally by Universal
Instruments Corporation to qualify its Polaris
assembly equipment to 50 PPM or better will be
presented. The method is statistics-based,and
involves insertion rather than placement. Yet it still
gives results,PPM estimates,comparable to slug
runs. This method will be shown to be quite
efficient and,since it requires no operator once it is
started,it is even less labor-intensive than a series
of slug runs. And it does not require the use of
CMM,so it could easily be replicated at a
customer’s facility.

The advent of fine pitch area array components and the constant drive to reduce the cost of electronic products
mandate the enhancement of manufacturing systems and assembly yields. In fine pitch area array packaging,
significant cost benefits can be obtained with yield prediction at the design stage and allowing control of the
variations in the process for good assembly yields. This includes optimizing the substrate designs to compensate for
the process variations to reduce the formation of electrical opens and bridgings in the assembly. The present paper
discusses the development of a yield prediction model for area array assemblies using Monte Carlo simulation. The
simulation model was developed with the objective function of predicting the defect levels. The yield prediction
involved several critical parameters including the substrate pad dimensions,solder bump height,solder volume,
warpage and pad layout on the component. A public domain program,“Surface Evolver”,was also used in the
course of this yield modeling effort to calculate the solder joint shape. The Monte Carlo simulation based model can
be used for conducting sensitivity analysis of various design parameters and their effects on the assembly yield.

Support tooling for circuit boards whose undersides are populated with electronic components is delicate,time
consuming to setup,and relatively expensive. This is because support pins or dedicated work holders have to avoid
applying direct and concentrated mechanical loads to electronic components located on the underside of the board.
A number of automatic pin adjustment solutions are currently available to PCB manufacturers,but these systems are
relatively expensive and some of them cannot be used without applying concentrated and potentially damaging loads
to the components. These systems are also sensitive to component placement variations. A new cost effective
method of supporting circuit boards during the solder paste print process has been developed. This study investigates
the performance of this new type of support in handling boards with components mounted on their underside as well
as unpopulated boards. This new support is in the form of a gel made of a polyurethane elastomer. The gel board
support is compared to a conventional board support solution.

Flip chip assembly is a key capability to enable product miniaturization. Our previous studies have investigated several flip chip
interconnection types including anisotropic conductive film or paste,and Au-Au thermosonic bonding. This project is focused
on the assembly of 0.200 and 0.250 mm pitch solder flip chip devices. Two methods of applying flux for the flip chip are
investigated: the dip fluxing method,and the jet fluxing of the substrate. The placement accuracy of a traditional SMT pick and
place system (upgraded for flip chip) is investigated and results discussed. The impact of the reflow process in air vs. nitrogen is
examined. Two underfill materials are evaluated for compatibility with the flux. Results of reliability testing (including thermal
cycling,mechanical shock and vibration) will be presented.

The increasing demand for portable electronic
products has accelerated the quest for even greater
miniaturization. At the current state of electronic
production technology,volume and weight
reductions have been achieved through the
application of SMT and Direct Attach components.
One result has been a tremendous increase in solder
paste usage. The world market for this material is
predicted to increase from US $679M in 2000 to
approximately US $2Billion by the year 2007.1
The proper performance of solder paste in forming
physical and electrical connections is vital to the
quality and reliability of SMT assemblies.
Unfortunately,most end users of solder paste have
limited knowledge and equipment for comprehensive
and in-depth evaluation of solder paste to ensure
optimum quality.
The increasing application of solder paste calls for
serious consideration its importance within the
context of quality management systems such as
TQM,ISO 9001 and QS 9001. Particularly when
process improvements are required through SPC or
other tools,the understanding of solder paste quality
issues becomes a requirement.

As outsource to EMS,the requirement for Automated Optical Inspection (AOI) equipment changes as well. Due to
the diversity of the business,EMS providers require equipment that can handle a myriad of different components.
The need for frequent programming,program portability and repeatability,and the establishment of common
equipment platform become more important than before. To understand the capability of current AOI technology,
equipment from four manufacturers were installed at a test site for a post-reflow benchmark test. Two test vehicles
were used for eight different tests. Test results were recorded and analyzed. Each machine was rated for its
performance in each individual test. The result shows that no single machine outperforms others in every category.
The best performance from each category is,99.89% portability for general SMT components,99.95% for small
chips,99.16% for program repeatability,84% defect detection rate,and 28-second inspection cycle time for
motherboard type assembly. Angle measurement was performed on three machines. The model with best
performance reported the measurement within 1° difference. Based on the overall test results,AOI can be
considered an efficient tool for catching post reflow defect and improving process yield. As the renovation continues
in AOI technology during the past few years,we should expect to see an increase in AOI implementation in the
EMS industry.

In a low-volume,high-mix electronics manufacturing environment,the ability to delineate design concerns before a
customer’s product goes to production is paramount. Design deficiencies or deviations from standards,or designs
that don’t accommodate manufacturing and testing capabilities could cause significant levels of manufacturing
defects and may affect several downstream parameters such as process yield and product reliability. Correcting
problems during the manufacturing phase involves significant expenditure vis-à-vis repair,rework and scrap. In
order to avoid this expense,an effective and efficient (automated) tool is required to scrutinize designs and to
categorize any deviations from the standards,long before the design reaches the production floor. In order to
perform such checks,the tool must refer to an accurate and exhaustive set of rules that can cover all critical aspects
of manufacturing and testing. Moreover,these rules must cover all designs and should also be updateable.

The internet explosion of the 90’s created much hype around public exchanges that has never materialized. The
current business environment of a multi-company value chain,alliances and partnership selling has highlighted the
need for increased value chain collaboration around critical supply chain functions like forecasting. This has created
the need for a public exchange-like solution,but with focused ownership from a majority stakeholder. This paper
presents a collaborative solution that illustrates the benefits of integrated forecasting. Our belief is that the solution
has to be sponsored and maintained by the majority stakeholder (most likely the OEM) to ensure active participation
by the value chain members.

With the increase in outsourcing activity throughout the electronics industry,OEM’s are turning to Electronic
Manufacturing Services (EMS) to provide quality quick turn prototypes and fast New Product Introduction (NPI).
The differentiator between success and failure in the EMS marketplace is the data and the automation that can be
done to streamline data entry and eliminate duplicate data sources and data entry errors. This difference is usually in
the data; whether OEM or EMS the requirement for accurate and complete data has become the standard. Data and
Process Transparency can help transform Front-end engineering NPI from an emphasis on quick-turn prototyping
into a gateway to volume production,but there will need to be a change in perception with regards to how data and
process information are treated and handled.