Manage the expected quality of 3D printing through simulation

“Today, many aircraft components are 3D printed . Of course, it is very important to ensure the quality of these components. Although additive manufacturing promises great potential, ensuring print quality and knowing how to achieve the desired quality is a field worth studying.

Simulation can help with this, and simulation can prove and simulate the process and value of metal laser melting. Not only does it help reduce failures, it also improves part quality and helps to shorten the manufacturer's learning curve.

do you know? You didn't have to pay such expensive tuition..."

Manage the expected quality of 3D printing through simulation

Many manufacturers are unclear about how to consider the properties of materials and how these characteristics affect the final product or its processing properties. Most of the time, you can get satisfactory results, based on the manufacturer's constant attempts to continuously "pay tuition" results.

Simulation involves the behavioral prediction of powder materials during laser sintering and the effects of different material properties on the product.

Of course, in addition to the nature of the materials, there are many differences in the details of the different additive manufacturing equipment. The challenge of modeling and simulation is to capture the uniqueness of a particular manufacturer. From a quality and certification perspective, the simulation software needs to build data files with different devices based on physically quantifiable machine parameters. Other factors, including the effects of powder post-treatment variability on additive manufacturing results, also need to be considered.

This brings the complexity of the simulation. Relatively speaking, the geometry required to achieve additive manufacturing modeling is relatively simple. The difficulty lies in achieving very stringent performance standards, especially in the aerospace industry, including strength and fatigue properties.

The simulation software itself needs to be continually optimized, which requires the integration of the entire additive manufacturing ecosystem. The simulation software needs to work with the machine manufacturer to obtain the physical parameters of the device; it needs to work with the material supplier to ensure that the material science indicators are correct. Need to work with the test specialist to ensure that the part being tested is correct; work with the user to ensure more matching between the predicted and actual results. Predict how materials, machines and modeling are changed based on key information on all materials, equipment and products. The ultimate goal of the simulation is to make people do not need to pay "tuition fees", the equipment as a test, the purpose of simulation is not to waste time and money, to avoid errors.

Simulation, is a big data live

For additive manufacturing simulation software 3DSIM, the software needs to predict the impact of powder characteristics on product performance and determine which parts need to be tightly controlled to achieve maximum performance. Strict specifications require more accurate material testing, which increases the cost of the manufacturer. The more stringent requirements correspond to the more expensive testing costs, the role of material properties in the additive manufacturing process through simulation, reducing the waste of expensive materials. And avoiding the occurrence of materials that fail the test.

Once the geometry of the part is modeled, simulation software can be used to predict a representative laser scan path. The model of the laser and its interaction with the material is obtained by simulation. The model provides a scientific depiction of the material from a powder to a liquid to solidification under the action of a laser. The model simulates the heating of the powder on a powder bed, the blasting of energy, the melting and the rapid cooling and solidification process, and the construction of each layer is deduced by analogy. .

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