COMSOL Multiphysics Approach

Category: Coupled Analysis – Multiphysics | Revised 2026-10-01
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COMSOL Multiphysics Approach

Theory: solve everything at once, or alternate?

Overview

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When solving coupled problems in a general tool like COMSOL, which solver setting should I choose?

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Broadly there are two: fully coupled (monolithic) and segregated. Fully coupled solving gathers every unknown — potential, temperature, displacement — into one system and solves it with Newton's method including how each affects the others. Convergence is fast and robust, but the matrix grows, raising memory and per-iteration time. Segregated solving solves each physics in turn and repeats: each pass is light, but strong coupling increases iterations and can prevent convergence. The choice depends on coupling strength and problem size. Here we compare both on a strongly coupled case — a device that conducts better as it warms.

Test problem: electro-thermal thermistor

$$ \frac{d}{dx}\!\left(\sigma(T)\frac{dV}{dx}\right) = 0,\qquad k\frac{d^2T}{dx^2} + \sigma(T)\left(\frac{dV}{dx}\right)^2 = 0,\qquad \sigma(T) = \sigma_0\,e^{B(1/T_0 - 1/T)} $$

Voltage U is applied across a 10 mm bar with both ends held at 300 K; σ₀ = 1 S/m, B = 3000 K, thermal conductivity k = 2 W/mK, 41 nodes. Conductivity rises (resistance falls) with temperature.

Fully coupled Newton method

$$ \begin{bmatrix} \partial R_V/\partial V & \partial R_V/\partial T \\ \partial R_T/\partial V & \partial R_T/\partial T \end{bmatrix}\begin{bmatrix}\Delta V\\ \Delta T\end{bmatrix} = -\begin{bmatrix} R_V\\ R_T\end{bmatrix} $$

The off-diagonal blocks are temperature's effect on electrics and electrics' effect on temperature. The segregated method omits them and alternates single-field solves.

Coffee Break Trivia

Newton and Raphson

Finding a root by repeatedly following tangents appears in Newton's manuscript of around 1669, but it was published only in 1711. In between, in 1690, Raphson published it in a more practical form — hence the name Newton–Raphson method. A method over 300 years old sits at the heart of solving coupled problems with millions of unknowns today.

Worked examples

Example 1: voltage and iterations to converge (tolerance 10⁻⁸ K)

VoltagePeak temperatureSegregatedFully coupled
10 V307.0 K114
15 V318.7 K185
20 V347.5 K386
22 V377.4 K698
23 V415.6 K1669
23.5 V—divergednot converged

Example 2: where solutions exist (continuation)

Raising voltage in 0.1 V steps and starting Newton from the previous solution, solutions exist up to 23.2 V (peak 443.3 K) and vanish at 23.3 V. Beyond that there is no steady state and temperature keeps rising.

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So at 23.5 V neither converged not because of bad solver settings, but because there's no solution.

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Exactly. When a coupled calculation won't converge, many people first change relaxation factors or shrink time steps, but if physically no steady solution exists, no setting will converge it — and a forced answer would be more dangerous. To tell, tighten conditions gradually while tracking the solution (continuation) and see whether peak temperature shoots up and then ends. Here peak temperature rose 38 K between 22 and 23 V and ended about 0.3 V later. With that shape, the design should keep ample margin below it. A sudden rise in segregated iterations is also a warning that you are near the limit. The fully coupled method's advantage is tracking solutions right up to the edge with few iterations, so the limit is located correctly.

Modelling workflow

  1. Solve first at mild conditions (low voltage or load) and confirm convergence.
  2. Choose fully coupled for small, strongly coupled problems and segregated for large, weakly coupled ones.
  3. Ramp conditions gradually, starting each solve from the previous solution.
  4. If iterations or peak values jump, suspect the edge of solution existence.
  5. Where steady solves fail, run transient analysis to see what actually happens.
Coffee Break Trivia

“An analysis that wouldn't converge however much relaxation”

In an electro-thermal analysis of a power-supply component, only the 1.3× rated load case refused to converge. The engineer repeatedly lowered segregated relaxation factors and raised iteration limits, without change. Switching to fully coupled and ramping load while tracking the solution showed peak temperature shooting up near 1.25× rating with no solution beyond: the component's material had resistance falling with temperature and sat at a thermal-runaway threshold. The design was changed to strengthen heat dissipation.

Common mistakes

Mistakes and fixes

MistakeEffectFix
Solving at final conditions directlyPoor initial guess, no convergenceRamp conditions
Blaming settings onlyRunaway missedCheck solution existence
Segregated for strong couplingMany iterations, divergenceUse fully coupled
Fully coupled on huge modelsOut of memorySegregated with preconditioning
Loosening tolerance to 'converge'Wrong answerCheck residuals and physics
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Structural AnalysisElectromagnetic AnalysisThermal Analysis
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