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<This article is the second in a series> In the last article, we introduced an emerging class of analysis software
called Design-Class Analysis (DCA) and compared it to traditional analysis
software. We concluded that the main difference between the two is a matter
of focus. Traditional analysis software is primarily focused on particular
fields of analysis (i.e. FEA, CFD, FNM). DCA is primarily focused on applying
analysis techniques to design problems within a specific field of engineering.
For Flomerics, physical design of electronics is the engineering field
of choice. The differences are summarized below:
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Design-Class
Analysis
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Traditional
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| Design
centric - Specialized in applying analysis techniques to solve
engineering design problems |
Technology
centric - Specialized in specific fields of analysis (ie. CFD,
FEA, FNM, etc) |
| Process
oriented - Rich feature set for integration of analysis into the
design process |
Point-solution
oriented - Little support for process integration. Isolated from
the main design process |
| Promotes
standards - Supports and promotes open standards and mechanisms
for information supply chains |
Promotes
proprietary formats - Harbors strong ties to proprietary data
formats and is mainly ambivalent to the free exchange of data |
In this article, we further examine the differences and explore the ways
in which each impacts the first stage of a typical physical design process.
In future articles, we examine later stages of design.
Opposing Forces: Performance Requirements and Design Constraints Consumer demand and fierce competition drive the pace of innovation for
the electronics industry. Severe performance requirements and stringent
design constraints are the norm. The "first law of product design"
says that performance requirements work against constraints and visa versa.
In practice this means that if a product must run faster and longer, more
time and money is required for design. Conversely, if a product must be
designed quickly and cheaply, you can be sure it will break easily. In recent years, consumers have increased their demand for high performance
products resulting in faster and hotter running products. Just ten years
ago, typical computer systems ran at 33 Mhz and 38 mW/sqin. Today, they
run at 2 Ghz and 333 mW/sqin - a 60-fold increase in speed and 10-fold
increase in thermal density. Over that same period, companies have strived
to increase (or at least maintain) profits by reducing design time and
manufacturing costs. These unrelenting business factors have placed tremendous
pressure on design teams to move beyond traditional tools and processes
and defy the first law of product design. What will take productivity
and efficiency to the next level for physical design of electronics?
Why Traditional Design Processes Fall Short
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At the highest level, a typical physical design process can be
illustrated by the spring image introduced in the first article
and shown in Figure 1 below.
For many companies, stage one of the design process involves conceptualizing
a baseline design in software. This is shown as "Model Build" in
the figure. Stage two is the design optimization phase. This stage
will be covered in the next article.
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Figure 1: A Typical Design Process
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How many software tools are used at your company to Model Build for design?
Two, three or more? It is common for electronics companies to Model Build
with three separate tools to complete a design. The first, and primary
model is built with a solid modeling tool. Configuration design issues
are worked out here. Additional models are built to address compliance
issues and to increase performance. These may include Model Builds for
thermal, structural, EMC and acoustics issues. How much duplication of
effort can one company stand? Over the past 10-15 years, traditional analysis companies have spent
significant resources improving the Model Build process. CAD-like interfaces
have been adopted and many complex tasks have been automated. As a result,
we have seen steady, incremental improvements in ease-of-use and speed
over the years. Despite this, a huge, unavoidable barrier remains for
traditional analysis tools that prevent their wide spread use and force
companies to spend more money on design than they would like. Model Building
in traditional tools is a separate process by design. The evidence of this is ubiquitous. For years, CAD companies have tried
with little success to merge Model Building in traditional analysis with
that of CAD. Just about every CAD company has an "integrated"
analysis module but true, single model design remains a pipe dream. This
is especially true in the electronics industry To further complicate matters, the disconnected nature of traditional
analysis creates inefficiencies in the design process. Design engineers
find it tough to communicate with thermal engineers. Thermal engineers
find it difficult to work with the EMC engineers. And so on. Ideally,
performance, compliance and configuration issues drive the design early
in the process so that trade-offs between competing design issues can
be performed cost effectively. This will become practical when traditionally
separate design processes become integrated through a single model. High
performance heat sink design highlights the benefits of a single model
design process. Significant time is spent designing heat sinks for high
performance IC's only to find out later that they double as an efficient
source of electromagnetic radiation. EMC and thermal design studies from
a single model can save significant design effort and redesign costs.
Single model design is fundamental to DCA software. This concept is called
Design Flow Integration and it defines a software design environment that
works as a complete, single platform for physical design within a specific
field of engineering. FLOTHERM is being developed under Design Flow Integration principles
and the results are starting to show. The example below is an ATX form
factor PC chassis. The ATX form factor was introduced in the mid-1990's
to improve expansion and packaging of PC's. Since then, system speed and
thermal density have increased by 14 and six times respectively while
the configuration has changed little. These factors have conspired to
make significant the interplay between thermal and EMC performance issues.
With traditional tools, multiple Model Builds are an undesirable but necessary
reality for PC manufacturers.

Figure 2: Tower PC
The first Model Build is performed in a solid modeling tool. Ideally,
this model is used directly to perform thermal and EMC design. Today,
FLOTHERM is already well on they way to achieving the ideal because it
automatically converts solid models to thermal and EMC models through
sophisticated filters. The conversion process is extremely fast and requires
very little user intervention. An example is shown below:
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Figure
3: Automated conversion from solid
to thermal analysis model with FLOTHERM
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Once converted, thermal and EMC performance are checked and optimized
within the FLOTHERM design environment. Competing design trade-offs can
be explored easily and thermal and EMC engineers have the opportunity
to drive the design early in the design process.
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Figure 4: Airflow distribution
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Figure 5: Surface currents
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Future versions of the FLOTHERM design environment will perform multiple
types of analyses on a single model, further simplifying the Model Build
stage. The end goal for FLOTHERM is to become a true Design Flow Integration
environment - a complete physical design of electronics environment that
operates on a single model and covers configuration, performance and compliance
design issues. Design Flow Integration is an exciting concept for forward-looking manufacturers
of electronic products. Streamlining design processes with DCA software
is one way to bring high performance products to the market faster. Image
the impact of being able to defy the first law of product design when
your competition can't. In the next article, we explore the design optimization (study) phase
of a typical design process and compare the differences between DCA and
traditional analysis software. Again, the differences are tremendous and
the benefits significant. For the first time, design optimization may
become a practical, routine part of product design.
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