University of California, DavisMechanical and Aerospace Engineering

Research / Hybrid manufacturing

Connecting deposition
and machining.

We investigate how CNC machining and directed energy deposition can be combined to build and finish parts, linking process planning, deposition control, and experimental measurement.

LT65 setup with laser deposition head and monitoring instrumentation
LT65 hybrid manufacturing setup.

Explore the research

Study the process. Examine the part.

Process planning

Investigate the relationship between material addition and material removal.

Deposition control

Explore how process decisions affect the deposited material.

Experimental measurement

Use instrumented experiments to examine process behavior.

Example research / Grid molding

Conformal grid plastic injection mold fabricated by machining/DED hybrid manufacturing

Problem

Effective cooling is essential to injection-molding productivity and plastic-part dimensional accuracy. However, creating intricate cooling channels within a mold is challenging.

Approach

We begin with a prefabricated cooling-channel structure, then use hybrid directed energy deposition (DED) and machining to build and finish the mold geometry above it. This approach incorporates complex internal cooling passages into the finished mold.

Demonstrated result

The prototype demonstrated substantially improved cooling performance, highlighting the potential of hybrid manufacturing to produce molds with more effective internal cooling.

Conformal grid plastic injection mold with two machined cavities
Conformal grid plastic injection mold.
Grid molding sequence showing prepared blocks, a three-dimensional cooling grid, and the final deposited and machined mold surface
Grid molding technique: prepared blocks, a three-dimensional cooling grid, and the deposited and machined mold surface.Open full-size process diagram ↗
Grid molding fabricationFollow the deposition and machining sequence used to fabricate the mold.Watch on YouTube ↗

Example research / DED process control

Adaptive, Productive, and Quality (APQ) control for directed energy deposition

Problem

DED often relies on preset laser power, machine feed rate, and powder flow. Actual deposition can deviate from the intended geometry, leaving insufficient material and requiring additional deposition—or restarting the build. A key challenge for closed-loop control is adjusting powder delivery quickly enough to correct these deviations.

Thermal management presents another challenge. The substantial heat input creates temperature gradients that can lead to distortion, cracking, and residual stresses.

Approach

ARMS developed a Dynamic Powder Splitting System (DPSS) that rapidly adjusts powder delivery, enabling responsive closed-loop deposition control. The broader Adaptive, Productive, and Quality (APQ) framework combines monitoring of deposition height, width, and temperature with coordinated regulation of energy fluence and powder fluence.

To address thermal gradients, the ALP module uses an infrared camera to assess the temperature distribution after each deposited layer. The controller then automatically reorders the deposition sequence in the supplied NC program to reduce temperature gradients.

Demonstrated result

The developed control methods improved deposition productivity and geometric accuracy, while adaptive sequencing addressed thermal gradients during the build.

APQ control system linking temperature, deposition height, and width measurements to energy and geometry control modules and powder delivery through the DPSS
APQ DED control architecture, integrating monitoring, energy control, and DPSS-based powder delivery.Open full-size control diagram ↗
PEF and QPF control for DEDSee the energy- and powder-fluence control methods in operation.Watch on YouTube ↗
More DED demonstrations: powder delivery and thermal management
DED process control with DPSSSee how the Dynamic Powder Splitting System supports responsive powder delivery.Watch on YouTube ↗
DED ALP controlExplore adaptive deposition sequencing for thermal management.Watch on YouTube ↗

Example research / Process planning

Decision-support software for machining/DED process selection

Problem

Choosing between machining, DED, and a combined hybrid route requires evaluating competing manufacturing strategies. Detailed analysis can be time-consuming and depend heavily on specialized process knowledge.

Approach

We develop software that analyzes a part’s geometry and rapidly evaluates candidate manufacturing routes. By comparing process time, material usage, and energy consumption before detailed CAM planning, the software helps users identify a suitable strategy.

Demonstrated result

The framework enabled faster manufacturing-route evaluation and decision-making, reducing the need for extensive preliminary planning.

ARMS process-selection software showing a component decomposed into features for machining, DED, or hybrid manufacturing analysis
Process-selection software for evaluating machining, DED, and hybrid manufacturing routes.Open full-size software figure ↗

Related paper

Interested in hybrid manufacturing?

We welcome student inquiries and discussions of related industrial research challenges.