White paper
HP 3D HR PA 12 for the
HP Jet Fusion 5200 Series
3D Printing Solution
Dimensional Capability
White p aper | HP 3D HR PA 12 for the HP Je t Fusion 5200 S eries 3D Pri nting Solu tion – Dimensional Ca pabilit y
Introduction
At HP, we are committed to providing part designers and part manufacturers with the technical information and
resources needed to enable them to unlock the full potential of 3D printing and prepare them for the future era of digital
manufacturing.
The aim of this white paper is to provide you with information on the dimensional capabilities that can be achieved with
the HP Jet Fusion 5200 Series 3D Printing Solution with HP 3D High Reusability (HR)
1
PA 12.
In this white paper, you will find:
• Tolerances in XY and Z for nominal dimensions ranging from 0 mm to 80 mm that can be achieved with the HP Jet
Fusion 5200 Series 3D Printing Solution, according to a process capability index,
• A detailed explanation of the test conditions under which these values were obtained, and
• Additional information on the concept of process capability and dimensional tolerancing, and a glossary of key terms
used.
Dimensional profiles and HP 3D Process Control
The HP Jet Fusion 5200 Series 3D Printing Solution has an in-printer feature that provides the capability to apply
dimensional profiles. This feature helps streamline the workflow and provide an enhanced experience while helping to
achieve manufacturing-level accuracy and repeatability.
The HP Jet Fusion 3D Printing process involves selectively melting plastic powder. Once melted, the material cools
down until it solidifies, changing its internal structure. During solidification, the melted volume suffers from shrinkage.
Dimensional profiles are used to compensate the variation of this effect along the printing volume, automatically
applying geometrical transformations to each part being printed.
· Scaling
· 3D morphology
· Part by part
z
y
x
Figure 1. Representation of conceptually geometrical transformations managed by HP 3D Process Control
1. HP Jet Fu sion 3D Print ing Soluti ons using HP 3D High Re usabili ty PA 12 prov ide up to 80% p owder reusa bility ra tio, produc ing functional par ts batch af ter batch. Fo r testing, materi al
is aged i n real printing con ditions and powder is tracked by generations (worst case for reusa bility). Parts are then made f rom each generation and tested for mechanical prope rties
and accuracy.
White p aper | HP 3D HR PA 12 for the HP Je t Fusion 5200 S eries 3D Pri nting Solu tion – Dimensional Ca pabilit y
Geometrical transformations are applied independently in each axis, ensuring optimal results for every part orientation.
For example, non-uniform scaling is used to compensate for shrinkage during the solidification process. In addition
to the volumetric compensations, dimensional profiles can act on the surface of the parts with axis-dependent 3D
morphology.
By default, the HP Jet Fusion 5200 Series 3D Printing Solution comes with general dimensional profiles. General profiles
are a unique type of dimensional profile that optimize part geometry based on the average behavior of a wide-sample
population of HP Jet Fusion 3D printers. Each print profile is associated to a general dimensional profile.
In addition, using HP 3D Process Control software, hardware-specific dimensional profiles can be generated and
managed to achieve optimized dimensional capability and help deliver uniform results across a fleet of printers. These
dimensional profiles can be used in use cases with very tight dimensional requirements, particularly when producing the
same type of parts in a fleet of printers, as they can balance the dimensional particularities of each device.
The Profile Management feature in HP 3D Process Control allows you to select different profiles depending on the
specific printing needs. For example:
• Trigger hardware-specic proling
• View all dimensional proles based on printer compatibility
• Congure the dimensional proles in use for each printer
General and hardware-specific dimensional profiles are generated by applying machine-learning techniques. HP uses the
data collected from different designs to build mathematical models that will generate predictions to optimize the jobs
when printing.
Figure 2 illustrates the geometries and jobs used to build the mathematical models.
Figure 2. Part geometries & job configurations used in
the calibration of dimensional profiles
White p aper | HP 3D HR PA 12 for the HP Je t Fusion 5200 S eries 3D Pri nting Solu tion – Dimensional Ca pabilit y
Each of these parts has different critical dimensions that are measured in each print. For example, some of the critical
dimensions collected for a specific part included in one of the jobs are shown in Figure 3.
Name Nominal/mm
1 He i g ht-1 8
2 Height-2 18
3 Height-3 30
4 Height-4 45
5 Height-5 60
6 Height-6 80
Figure 3. Diagnostic part critical dimensions
654321
To generate the general dimensional profile, the machine-learning model produces the correction based on the average
of all the printers that provide data. For the hardware-specific dimensional profile, the data collected from the specific
device are compared with the data from the overall population, and the correction is generated based on the average
measurement from printers with a similar configuration.
Table 1 shows the statistics of the overall data used by the machine learning process to improve the profile generation.
All data collected For a specific print profile
Critical dimensions ~600,000 ~10,000
Printers ~60 ~5
Jobs printed ~300 10
Table 1. Data collected to generate profiles