Our core expertise for the consumer goods sector
Structure simulation
Structure simulation evaluates the strength, stability and service life of components under mechanical or thermal boundary conditions. It is used to improve product behaviour to make products lighter, quieter or easier to produce, for example.
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Drop test simulation
TECOSIM simulates the behaviour of products when they are dropped accidently (drop test) or shunted, when in transit, for example. This allows packaging to be optimised while preventing or minimising damage in transit. Typical items tested include domestic appliances and mobile telephones.
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NVH (Noise, Vibration, Harshness)
NVH calculations allow conclusions to be drawn on which to base improvements to acoustics, vibrations and comfort. NVH studies are typically used to reduce noise and vibration in washing machines or optimise vibrations in mixers or chain saws.
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Durability
During the early stages of structural component development, long before elaborate, expensive testing is possible, durability analyses are used to evaluate and enhance designs with regard to structural strength and, above all, cyclic resistance. This allows weak points to be identified and eliminated from a design at an early stage. This process often also reveals weight potential and minimises the number of necessary laboratory tests.
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Computational fluid dynamics
Numerical computational fluid dynamics (CFD) calculates phenomena which occur as gases and fluids flow over surfaces. Typical uses in the consumer goods sector include weight reduction, positioning of component reinforcements, casting simulation for production and optimisation of production cooling.
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Optimisation
The use of different mathematical calculation methods identifies optimisation potential for individual components or component groups regarding their weight or mechancial properties. Analysis results are incorporated into the development process once or as part of a continuous improvement process. Typical uses in the consumer goods sector include multi-physics problems, stability studies, weight reduction and optimisation of fibre alignment in lightweight designs.
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Multi-body system simulation
Multi-body system simulation is primarily used for rigid body calculation and kinematic simulation of articulated joints and drives of all types. The calculation speed of multi-body system simulation enables complex modules such as entire assemblies to be easily mapped and integrated into control circuits.
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System simulation
System simulation is used to examine highly complex overall systems in which many sub-systems interact. Mapping and simulating such a system is a supreme discipline: the physical properties of all components and sub-systems which are interconnected with each other and exert influence on one another must be described in a mathematically correct way and their behaviour evaluated. It is essential not to lose sight of the overall system as a sum of all parts for all details. TECOSIM has specialised in 1D simulation.
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Coupled or multi-physics simulation
Sometimes it is simply not sufficient to examine the physical properties of components in isolation. Wherever several physical phenomena are to be examined regarding their interaction with one another, this is referred to as multi-physics simulation. Findings established in this way often present a truer picture than separate studies of individual phenomena. Multi-physics simulations play an increasingly important role in all stages of a product’s life cycle, from the analysis of new material properties, their mapping in virtual material models and parameters, through to production process simulation and calculation of product resistance under the effect of flow. Typical uses in the consumer goods sector include flow-induced stresses on components, thermal stresses caused by fluids or gases, mixing processes and the impact of manufacturing processes on durability.
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Virtual benchmarking
Created by TECOSIM, the TEC|BENCH method not only allows consumer goods manufacturers to improve their own products through comparison with competitors, but also to optimise quality during production. Typical uses entail checking of manufacturing tolerances or deviations between a design and the manufactured component and a virtual comparison of performance parameters between a manufacturer’s own prototype and the real product.
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