Thermal analysis simulation plays a crucial role in engineering by leveraging Computational Fluid Dynamics (CFD) to calculate heat transfer due to conduction, convection, and radiation through fluid and solid regions. With accurate thermal insights, engineers can optimize designs for improved performance and safety.
In addition to modeling fluid flow, computational fluid dynamic (CFD) models can be used to calculate the amount of heat transferred through fluid and solid regions through thermal analysis simulation. These models can include the effects of conduction, forced and natural convection, as well as radiation heat transfer.
The term conjugate heat transfer modeling refers to CFD simulations where the temperature distribution and heat flux is calculated throughout the fluid and surrounding solid regions. More complicated heat transfer effects such as phase change due to condensation, evaporation, cavitation, and boiling can also be simulated using Ansys CFD software.
Heating and cooling rates critically affect the quality of composite parts. Due to complex thermal interactions, simplified models can’t predict temperature accurately. CFD analysis revealed the transient thermal response across blower, coil, and mass variations, enabling key design decisions without physical testing.
The effectiveness of the enzymes responsible for various constituent steps, including denaturing, annealing, and extension, determines how effective any PCR process will be. For the DNA amplification project, a thorough thermal analysis was required from the dimensionless Rayleigh number used in simulation to the real temperature and exposure period encountered in practice.
The natural and forced convection heat transfer were modeled for an HVAC system for a large industrial building that contained numerous pieces of complex industrial equipment and heat sources. The model was then used to evaluate the HVAC design at several different load conditions and potential layout variations.
The heating time and thermal mixing of a transient batch direct contact heating process for a nuclear sludge tank were modeled. The model required capturing numerous complex physics, including free surface, multiphase, phase change, Bingham plastic mixing model material models, and long transient duration.
A conjugate heat transfer (CHT) analysis was conducted where both conduction and convective heat transfer were modeled. The objectives included determining appropriate airflow rate and inlet temperature to meet bulk heat removal goals. Peak temperatures, hot spot locations and overall temperature distribution in the rack were additional outputs.
The thermal management for a mixed convection-cooled Intel i7 Laptop and a natural convection-cooled ARM tablet were calculated. The temperatures were matched to experimental data. The matching required accurate prediction of the convection, conduction, and radiation heat paths.
The conductive, radiative, and mixed convective heat transfer were modeled for several commercial chips with three different enclosure designs for a large semiconducting company. Additionally, a Conjugate Heat Transfer (CHT) thermal analysis simulation was used to simulate the exchange of thermal energy between the solid and fluid domains at their interfaces.
The transient thermal performance of a MEMS device with natural convection cooling was modeled under various thermal loads. Success in MEMS projects depends on expert knowledge, clear requirements, smart process and device design, and a deep understanding of fabrication, testing, and packaging challenges.
The SimuTech CFD engineering team brings extensive experience to thermal modeling projects across a wide range of industries. From autoclaves and thermal dilution catheters to electronics cooling, data center HVAC systems, and EV battery thermal management, our engineers use Ansys CFD tools to uncover meaningful insights into thermal performance. In many cases, the knowledge gained through thermal analysis simulation provides a level of detail and foresight that is difficult or nearly impossible to achieve through physical testing alone. Whether you’re troubleshooting an existing design or optimizing a new concept, SimuTech Group delivers the analysis and support you need to move forward with confidence.
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