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01Combined Workflows

Hardware and software as one thermal decision.

Most thermal programs buy simulation and measurement separately, then spend the project reconciling them. These five workflows show the connected path instead — measured device behaviour feeding simulation, and simulation validated against reliability and production data.
Five workflows · Simulation, characterization, reliability, production QC
02End-to-End Workflows
Workflow 01

Semiconductor package thermal lifecycle

From first measured device to a screened production line, on one correlated thermal basis.

  1. 01

    Measure and build the Compact Thermal Model

    Thermal transient testing of the packaged device produces structure functions, junction-to-case and junction-to-board resistances, and a DELPHI or two-resistor CTM.

  2. 02

    Simulate the system with the measured CTM

    The measured CTM drops into the board and enclosure model, so system-level predictions start from real device behaviour rather than a datasheet value.

  3. 03

    Finalize the design and build the prototype

    Airflow, spreading, and TIM decisions are settled against the correlated model before hardware is committed.

  4. 04

    Qualify reliability by power cycling

    Active power cycling with in-situ structure-function monitoring produces lifetime curves and degradation behaviour for the package.

  5. 05

    Screen 100% of units at production

    Every unit is measured against a golden structure function, so die-attach voids and delamination are caught before shipment.

Degraded CTMs from power cycling feed back into simulation for end-of-life thermal prediction.

Outcome

A package thermal model you can defend: measured on real silicon, used in system simulation, qualified for reliability, and enforced on every shipped unit.

Workflow 02

Power module qualification (AQG 324)

Automotive power module qualification with measurement, TIM data, and end-of-life simulation on one basis.

  1. 01

    Establish the baseline

    Baseline Rth_jc and the initial structure function record the module's as-built thermal path before any stress is applied.

  2. 02

    Characterize the TIM in the real stack

    In-situ TIM measurement in the actual assembly stack-up replaces datasheet conductivity with the bond line the module really has.

  3. 03

    Run AQG 324 power cycling

    Power cycling with in-situ structure-function monitoring tracks bond-wire and solder degradation as it develops, not only at end of test.

  4. 04

    Simulate the end-of-life condition

    Aged thermal properties from the cycling data drive an end-of-life system simulation, so design margin reflects the module at the end of its service life.

Outcome

Power-cycling lifetime evidence and an aged thermal model, produced with the same instrumentation the qualification programme expects.

Workflow 03

LED thermal design and lifetime prediction

Junction temperature governs flux, colour point, and lifetime — so the luminaire design starts from measured Tj.

  1. 01

    Measure LED junction temperature and Rth

    Transient measurement separates the die, die-attach, and board contributions to the LED thermal path.

  2. 02

    Design the luminaire in CAD

    CAD-embedded thermal simulation evaluates housing, board spreading, and convection while the geometry is still moving.

  3. 03

    Validate thermal fatigue life

    Power cycling establishes how the LED assembly degrades under real switching duty.

  4. 04

    Specify lumen maintenance and warranty

    Measured thermal and fatigue data support the lumen-maintenance projection and the warranty position behind it.

Outcome

A luminaire designed against measured junction temperature, with fatigue-life data behind the lumen-maintenance and warranty specification.

Workflow 04

EV battery thermal — cell to vehicle to reliability

Cell electrochemistry, pack and vehicle thermal behaviour, control strategy, and inverter reliability in one connected chain.

  1. 01

    Model the cell

    Electrochemical-thermal simulation resolves heat generation and gradients inside the cell under charge and discharge.

  2. 02

    Simulate pack and vehicle thermal behaviour

    System simulation carries cell behaviour up to the pack, cooling loop, and vehicle duty cycle.

  3. 03

    Develop the BMS control strategy

    Hardware- and software-in-the-loop testing exercises thermal control strategy against the same plant model.

  4. 04

    Qualify inverter reliability

    Power cycling qualifies the inverter power modules, with transient measurement characterizing the SiC or IGBT module before and after cycling.

Outcome

A pack thermal strategy validated from cell physics through vehicle duty cycle, with the power electronics qualified against the same thermal reality.

Workflow 05

Die-attach quality from R&D to production

One non-destructive measurement basis carried from the lab bench to the production line.

  1. 01

    Establish the golden structure function

    Transient measurement of known-good parts defines the reference thermal path and reveals voids non-destructively.

  2. 02

    Define degradation thresholds

    Qualification cycling shows how far the structure function may shift before the joint is at risk, setting the pass/fail limit.

  3. 03

    Screen every unit in production

    Production screening compares each unit against the golden reference, with statistical process control tracking drift over time.

Outcome

A golden structure function defined in R&D, thresholded during qualification, and enforced on every unit with SPC tracking.

03Lifecycle Coverage

Where each tool does its work.

Simulation, characterization, reliability, and production QC cover different parts of the same program. This map shows the primary usage zone for each tool from concept through field operation.

Map your program to the workflow that fits it.

Simulation, measurement, reliability, and production QC from one partner, on one correlated basis. Engineering work is delivered as a paid ROIfast™ engagement.