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Design exploration & optimization

Simcenter HEEDS

Automated Design Exploration Across the Full Thermal Workflow

Explore more design possibilities automatically and identify better trade-offs between thermal performance, weight, cost, and engineering constraints.

Design-space exploration trade-off plot with candidate designs distributed across performance and cost objectives.

What It Is

HEEDS automates design-space exploration by connecting engineering tools, varying design parameters, executing simulations, and helping teams understand which designs and variables matter most.

Core Capabilities

Automated design exploration

  • Connect with a broad range of design and simulation tools.
  • Automate parameter variation and solver execution.
  • Evaluate large numbers of design alternatives.

Multi-objective optimization

  • Explore trade-offs among thermal performance, weight, cost, pressure loss, reliability, and other design objectives.
  • Identify promising designs that may be missed through manual iteration.
  • Evaluate constraints and competing requirements together.

Engineering insight

  • Examine design sensitivities and performance trends.
  • Identify the variables that have the strongest influence.
  • Support decisions using simulation evidence.

Best For

  • Electronics cooling optimization
  • Heatsink and fan selection
  • Enclosure layout optimization
  • Cooling-loop design
  • Thermal and mechanical trade-off studies
  • Weight and cost reduction
  • Multi-tool optimization workflows
  • Robust-design exploration

Six-stage workflow position

Chiplet/DieSubstrate/PackagePCBEnclosure/RackSystemSystem of Systems

Cross-stage optimization layer that connects tools and drives design decisions across the full workflow.

Differentiators

Why engineering teams choose HEEDS.

Representative engineering situations these tools are asked to resolve.

  1. 01

    A heatsink and fan pairing hits its junction-temperature target but leaves the line-replaceable unit 220 g over its mass budget, and manual iteration has stalled after eleven attempts. HEEDS drives Flotherm through roughly 400 fin-geometry and base-thickness variants overnight and returns three designs that hold the same junction temperature at 35% less mass.

  2. 02

    A cold-plate channel design has 12 free variables — channel count, width, depth, header taper, inlet position — and no closed-form optimum. HEEDS runs a SHERPA search across them and returns the pressure-drop versus junction-temperature trade-off surface in engineering hours, so the team selects from a Pareto front instead of defending one hand-tuned point.

  3. 03

    A telecom rack must stay inside a 78 dBA acoustic limit and meet NEBS thermal derating at 40 °C inlet at the same time, and every fan-speed change trades one against the other. HEEDS treats both as objectives and finds the fan-curve and vent-area combination that satisfies both without an engineer iterating by hand for weeks.

Standards & Evidence
  • Consumes evidence to demonstrate ASHRAE TC 9.9, DO-160 or MIL-STD-810 targets are met under exploration
Who uses it
  • Thermal engineer
  • Mechanical engineer
  • Systems engineer
Delivered by Electro Source

How this reaches your team.

Delivered by Electro Source with tool-chain integration (Flotherm / FLOEFD / STAR-CCM+ / Flomaster / Amesim), study-design workshops, and SHERPA setup training. Contract design-exploration studies available via ROIfast™.

Discuss Your HEEDS Optimization Workflow

Tell us which tools you want to connect, which variables you want to explore, and what trade-offs you need to resolve.

Response time · typically within 1 business day
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