Feedback control of blown-powder additive deposition

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Feedback control of blown-powder additive deposition R.M. Ward 1 , L.N. Carter, T. Kosche 2 , N. Adkins 1 Corresponding author [email protected] . All authors are from the School of Metallurgy and Materials, University of Birmingham, apart from T. Kosche 2 from BCT (http://www.bct-online.de/) Thanks to Vivien Parker (final year project), Renaux Maxence (summer internship) for experimental work; Richard Harlow for help with the Trumpf Thanks to the EU AMAZE programme for funding © AMPLab 2016

Transcript of Feedback control of blown-powder additive deposition

Page 1: Feedback control of blown-powder additive deposition

Feedback control of blown-powder additive deposition

R.M. Ward1, L.N. Carter, T. Kosche2 , N. Adkins

1 Corresponding author [email protected] . All authors are from the School of Metallurgy and Materials, University of Birmingham, apart from T. Kosche2 from BCT (http://www.bct-online.de/)

Thanks to Vivien Parker (final year project), Renaux Maxence (summer internship) for experimental work; Richard Harlow for help with the Trumpf

Thanks to the EU AMAZE programme for funding

© AMPLab 2016

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Building large components

Qiu et al., 2014, with

~ 1 m

© AMPLab 2016

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Building large components

Qiu et al., 2014, with

© AMPLab 2016

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Development of DEMD at AMPLab

Measuring

Shape Optical sensorsClosed-loop control of speed, power etc.

StructureOptical, SEM,

TEM, EBSD etc.Microstructural development

Choosing the path + conditions

Cost Recycling Speed Complexity

PowderMorphologyProperties

ModellingFE (global)FV (medium)FV CFD (micro)

: overall strain + shape: temperature + structure: detailed local results

Understanding Controlling

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Introduction: Active control

• Automatically control object shape during laser metal deposition by modifying the build path parameters.

• For each layer:

– scan the object top surface Z coordinates

– if it is too high somewhere, deposit less material there in the next layer

– if it is too low somewhere, deposit more material there in the next layer

• It can run continuously if needed, without stopping the laser between layers

Target

Less building here next layer

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Passive control

Low powder capture at this level

High powder capture at this level

Low powder capture at this level

If we deliberately build here we should have some automatic passive control of build height

Underbuild => move down to higher capture level

Overbuild => move up to lower capture level

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Comparison of control methods

Active Passive

Powder capture efficiency +++

Build height accuracy +++

Record of the build development

+++

Hands-off +++

Simple (no control system) +++

Simple (no scanner) +++

Speed Can be +++ too +++

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Measuring with a linescanner

• High accuracy and resolution

• Either additional time needed or an additional manipulator

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Measuring with a linescanner

• High accuracy and resolution

• Either additional time needed or an additional manipulator

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Measuring with a linescanner

• High accuracy

• Either additional time needed or an additional manipulator

• Dense points covering the whole build

click to play

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Measuring by triangulation

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Measuring by triangulation

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Pool image moves in Z

1. Calibrate and turn y-location of laser spot in image into z-location relative to camera.

2. Combine with camera (head) position to get x,y,z location of spot in space

click to play

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860 880 900 920 940 960 980 1000145

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Results from real-time height measurement system (triangulation)

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mm

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Note: these were taken at very low power, with no melting. The data quality improves when there is melting as it reduces the effects of specular reflection.

no melting

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Measurement system methods

Linescanner Spot triangulation

No extra time needed +++ is possible for large builds

+++

Accuracy and resolution +++ +

Coverage of the whole build area

+++ +

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Method

A build program was used that was deliberately not ideal.- powder flow takes time to start per layer, creating an underbuild

The height everywhere within the cube slice boundary should be 0.6 mm, but it can be seen that the uncontrolled (open-loop) build is already uneven after just the first layer. Open loop build first layer

mmmm

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Method

Automatically split the build path into segments,and for each segment the heights at a grid of points are compared with the desired height.

A build program for the next layer is written to compensate for any differences, transmitted to the Trumpfand built.

The algorithm used is just to control the head traverse speed.Slower = more deposition

mm

mm

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Results for 5 mm desired height

Without control With control

Bu

ild h

eig

ht

(mm

)

Underbuild Excluded from control algorithm

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mmmm

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Results for 5 mm desired height

Without control With control

Bu

ild h

eig

ht

(mm

)

mmmm

mm

© AMPLab 2016

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Choice of control algorithm

• Manipulate a combination of speed, power, head z position

• Move head up/down as needed to maintain correct standoff

• Control the melt pool size? Is that enough?

– Maybe use 3d modelling beforehand to roughly set the local power so as to control the LST etc.

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Fast thermal modelling of DLF

An example simulation of very rapid building.

IN7381.6 g s-1 50 mm s-1

2x2x2 mm elements300x300x9 mm base

Element-by-element simulation is slow compared to layer by layer.But it lets us predict e.g. locations of unwanted melting etc. in complex shapes. And on a GPU, including post-processing, with this (large) element size it can be faster than real time.

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Fast thermal modelling of DLF

An example simulation of very rapid building.

IN7381.6 g s-1 50 mm s-1

2x2x2 mm elements300x300x9 mm base

This movie is the top surface temperature at the end of each layer of deposition.

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Fast thermal modelling of DLF

Layer 1 Layer 11 (2 cm) Layer 31 (6 cm)

0.55 s

0.1 s

Short LST due to heat change in the scanning path at this point

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Discussion

• Even controlling just the head speed improves build shape accuracy!

• Monitoring without control may be useful too:

– build history

– map of deposition efficiency (process diagnostics)

• but... Microstructure? Porosity?

• Deposition is non-linear: edges, steps etc.

• For large rapid builds with joints etc., also use a model to predict time-varying parameters beforehand to maintain the microstructure? (Surrogate or more physics-based)

Thanks to the EU AMAZE program for funding; Vivien Parker (final year project), Renaux Maxence (summer internship) for experimental work; Richard Harlow for help with the Trumpf

© AMPLab 2016

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Direct Laser Fabrication facilities

Glove Box

Working Area

X (3 m)

Z (750 mm)

(1.5 m)

Y 3-Beam NozzleFor thick wall buildsPowder Focus ≥ 1.5mmMax. laser power ≤6kW

Co-axial NozzleFor thin wall buildsPowder focus ≥ 0.3 mmMax. laser power ≤ 2kW

Machine Limit - 1.5x1.0x3.0m Laser system Disk laser 4kW (Continuous and Pulsed Wave) Laser spot size: 0.4 - 6mm

TRUMPF 6.5 Axis DLF system

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