Simulation must be of appropriate quality. Techniques and issues which contribute to such important and often overlooked area are discussed.

• Modelling: successful techniques and pitfalls, including idealisation strategies, assessing mesh quality, assessing realistic boundary and initial conditions, quality management of FEA,..
  
• Reliable data sources, including dispersion of data, constitutive models, thermophisical properties assessment overr the range of temperature of interest, non-linear behaviours,...
  
• Validation methodologies, including benchmark tests, convergence strategies, verification, dealing with uncertainities, error indicators, adaptive meshing, model updating,...
• Automated meshing and adaptivity, including re-meshing strategies, quality measures, adaptive modelling, simulation of contact,...
  
• Correlation with test.