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Advanced Manufacturing R&D

TSI AdditiveLab.

AdditiveLab is a dedicated research and development (R&D) unit within the Transport and Telecommunication Institute. We specialize in metal wire additive manufacturing, robotic welding, and industrial automation. We transform academic research into practical industrial solutions—engineering everything from initial hardware concepts to custom software implementation.

Our Foundations

Core Research Pillars

Metal wire additive manufacturing is still an emerging technology. Bringing it up to strict industrial standards requires solving complex, real-world engineering problems.

PILLAR_01

Additive Technologies & Material Behavior

Process understanding, technology capabilities, and materials behavior. Investigating printed structure formation, quality, and specific printing possibilities across different deposition processes and materials.

PILLAR_02

Adaptive Robotics & Process Control

Advanced sensing, dynamic coordinate mapping, and logical feedback control to ensure process stability in variable manufacturing environments.

PILLAR_03

Industrial Software & Sensor Analytics

Development of custom software architectures for high-frequency data acquisition, sensor synchronization, and comprehensive process analysis.

Material Characterization & Optimization

Transforming wire into a reliable structural component requires an in-depth understanding of material behavior during deposition. This is a complex, multidisciplinary challenge that demands rigorous testing and verification before integration into industrial-grade processes. Key focus areas include:

check_circle Deposition patterns for various geometries and materials
check_circle Internal quality and material integrity
check_circle Dimensional and thermal stability
Outcome: Validated deposition parameters ready for industrial integration. architecture

Materials

Wire Arc Additive Manufacturing
Multi-thickness cross-section
Process parameters validation
Self-intersecting contours
Radial deposition strategy
Multi-thickness structure validation

Adaptive Control Systems

Operating complex robotic systems requires moving beyond purely rigid paths. By collecting and evaluating environmental and process data, robotic routines are programmed to autonomously adapt to physical deviations and thermal states. Key focus areas include:

check_circle Thermal-sensor integration for dynamic pause patterns and heat accumulation control
check_circle Geometry sensor data acquisition for continuous trajectory and parameter adaptation
check_circle And many more
Outcome: Sensor-adapted robotic processes that rely on a stable preset foundation, applying dynamic adjustments only to compensate for measured deviations. precision_manufacturing

Sensors

Seam tracking
Welding path planning software development
Deposited height measurements
Lap weld
Printing path decomposition

Custom Software Architectures

Managing complex manufacturing operations requires handling massive, simultaneous streams of process data. Custom software architectures are developed to synchronize robot telemetry, power source signals, and external sensor feeds into a cohesive environment for continuous monitoring, dynamic control, and post-process analysis. Key focus areas include:

check_circle High-frequency, multi-source data acquisition and synchronization
check_circle Custom HMI (Human-Machine Interface) development and data visualization dashboards
check_circle Data pipelines designed for signal processing, anomaly detection, and quality assurance
Outcome: Fully integrated data environments providing precise spatial tracking and total digital traceability for manufactured components. terminal

Software

Laser profilometer and pyrometer integration
3D measurements
Printing path analytical software
Sensor's signals integration to a local network
Collaborative TIG welding system

Recent Peer-Reviewed Publications

Results in Engineering, 2026
Experimental optimization of robotic CMT welding for 0.5 mm AISI

Arsenii Kisarev, Vasilijs Vilks, Manu Vilks, Igors Volohovs, et al.

menu_book Read Publication
Springer Proceedings, 2025
Experimental Analysis of Stability Mechanism of Laser Wire Based 3d Printing with 316LSi Steel

Vasilijs Vilks, Manu Vilks, Arsenii Kisarev, Igors Volohovs, Timofejs Onišuks

menu_book Read Publication
Our Capabilities

AdditiveLab Services

Industrial Metal 3D Printing

Industrial Metal 3D Printing

Manufacturing of metal parts directly from digital models using Wire Arc (WAAM) and Wire Laser (WLAM) technologies. Production can be executed within our laboratory, or a complete printing complex can be installed directly at the client's site. All manufacturing adheres to strict industrial standards, ensuring structural reliability and full process traceability.

Features

  • • Dual-technology capabilities (WAAM/WLAM) to accommodate various part types, material specifications, and printing resolutions
  • • Comprehensive technology selection and parameter development for prototypes and small-to-medium batches
  • • Capability for producing medium to large-sized complex components

Advantages

  • • Fast, accurate, and material-efficient production (high buy-to-fly ratio)
  • • Verified structural quality optimized for real-world applications
  • • Wide material selection, including specialized steel, nickel, and aluminum alloys
Target Applications: Aerospace, Automotive, Energy, R&D Prototyping, Heavy Industry, and Custom Architecture.
Robotic Welding

Robotic Welding

End-to-end development, verification, and commissioning of automated robotic welding solutions. Complete system integration is provided—from initial process documentation to final qualification tests—alongside comprehensive operator training bridging both welding technology and robotic control.

Features

  • • Integration of industrial MIG and TIG welding technologies
  • • Development of adaptive toolpaths and sensor-adjusted trajectories
  • • Complete documentation and qualification test execution

Advantages

  • • Seamless handover through dual-discipline operator training (welding + robotics)
  • • Consistent, highly repeatable weld quality across scaled production
  • • Mitigation of skilled labor shortages through reliable automation
Target Applications: Construction Frameworks, Automotive Manufacturing, Heavy Machinery Fabrication, and Structural Engineering.
Automation Systems & HMI

Automation Systems

Development of custom automation logic and control architectures for specific manufacturing environments. Software and sensor integrations are engineered to upgrade existing workflows or automate complex processes where standard off-the-shelf solutions fall short.

Features

  • • Multi-source sensor integration (vision, thermal, geometric)
  • • Custom Human-Machine Interface (HMI) design and implementation
  • • Custom hardware integration and data synchronization for existing production lines

Advantages

  • • Custom-built solutions designed explicitly for non-standard production requirements
  • • Complete digital transparency and process traceability
  • • Reduced downtime through adaptive control and system monitoring
Target Applications: Highly Custom Production Lines, Production Infrastructure Upgrades, System Integrators, and Specialized Manufacturing Facilities.
Case Studies

Our Projects

In-Situ Height Monitoring Setup
2026

In-Situ Height Monitoring and Error Calculation for WLAM

Internal R&D addressing geometric deviation in high-profile (100+ layer) Wire Laser Additive Manufacturing (WLAM). Discrepancies between programmed and actual deposition heights critically impact process stability over extended builds. This project engineered a custom data acquisition and analysis algorithm utilizing 2D profilometry to generate trustworthy error vectors for closed-loop parameter modulation.

WLAM Applied Research

Technical Breakdown & Project Gallery

Task: Formulate and validate a highly accurate, low-latency computational method to acquire, process, and extract deposition height deviations between consecutive printed layers.

Solution: A custom software application was developed to synchronize a Yaskawa GA50 robot, Meltio laser head, and Wenglor 2D profilometer using a print-scan-print robotic routine. The mathematical pipeline processes raw point clouds through spatial filtering, parabola fitting, and apex extraction to calculate layer-specific height distributions.

Outcome: Successful generation of precise layer-specific height error graphs. Crucially, algorithmic computation is optimized to execute faster than the physical layer printing duration, enabling continuous in-situ monitoring with zero added process idle time.
Height error definition
3D point cloud filtering and analytics
Layer-wise height calculation
Verification print
0.5mm AISI Thin Welding Inspection
2025

Weldability Window Determination for 0.5 mm 304L Stainless Steel

Experimental identification of the stable weldability window for 0.5 mm thick AISI 304L stainless steel butt joints using the robotic MIG-CMT process. Ultra-thin material joining is highly susceptible to severe thermal distortion and burn-through, especially under variable fit-up conditions. This project established a robust parameter set and physical thermal management strategy, ultimately achieving stable, certified joint quality for gap misalignments up to 1.0 mm.

Technical Breakdown & Project Gallery

Task: Determine operational processing limits for 0.5 mm 304L stainless steel sheet joining under varying gap tolerances without root degradation or excessive heat accumulation.

Solution: Structured DOE (Design of Experiments) varying wire feed speed, travel speed, pulse dynamics, and backing bar copper geometry. Process data captured using high-speed imaging and synchronized thermal logging.

Outcome: Certified parameter window ensuring zero burn-through and optimum tensile strength. Results published in *Results in Engineering (2026)*.
CMT Welding setup
0.5mm gap weld (CMT cycle step)
Weld preparation
0-gap weldment
Heavy structural welding complex
2024–Present

Robotic welding integration for heavy construction parts

Development and deployment of automated welding processes for massive structural components utilizing a multi-axis gantry complex (18m linear track, dual positioners). Large-scale construction frames frequently suffer from unpredictable pre-weld gaps and dimensional deviations due to manual pre-assembly. By integrating dynamic sensing logic, the robotic system actively adapts its toolpaths to these physical variations, successfully commissioning automated production for multiple distinct heavy components.

Robotic Welding Industrial Automation

Technical Breakdown & Project Gallery

Task: Transition heavy structural steel component joining from manual labor to an automated multi-axis robotic gantry workspace.

Solution: Implementation of touch-sensing and arc-sensing search routines to detect joint origins, seam paths, and gap fluctuations prior to deposition. Welding programs autonomously calculate fill volume and parameter adjustments.

Outcome: Successful setup of 5+ different parts for robotic welding. Reduced production cycle times by up to 60% while eliminating weld defects caused by thermal distortion and manual joint preparation inconsistencies.
Multi-axis Robotic Gantry Welding Setup
Welded part
Preheating operation
Human-based welding monitoring
Welded seam
WAAM software suite rendering
2026

Real-Time Data Analytics and Online Control Software Suite for WAAM

Internal R&D focused on developing a comprehensive software architecture for data acquisition, multi-dimensional rendering, and active process control in wire additive manufacturing. Managing complex deposition requires real-time synchronization of disparate, asynchronous hardware feeds. This project established a centralized, PC-based software suite to consolidate these signals, enabling deep digital traceability and dynamic parameter intervention.

Industrial Software Data Analytics

Technical Breakdown & Project Gallery

Task: Engineer a cohesive software environment capable of capturing, synchronizing, and visualizing high-frequency data from asynchronous hardware sources while facilitating online process control.

Solution: A custom architecture was developed to synchronize inputs from the robotic controller, welding power source, 2D profilometer, and thermal sensors. The centralized PC application features multi-spatial rendering (2D parameter graphs, 3D TCP/point clouds, textual job execution logs) and local storage protocols. Integrated control logic allows operators to actively adjust travel speeds, energy inputs, trajectories, and thermal limits on the fly.

Outcome: A fully integrated data environment providing precise spatial tracking, total post-process digital traceability, and robust online process modulation.
On the fly geometry measurements
Thermal sensor integration
Facilities & Infrastructure

About our laboratory

domain AdditiveLab is a dedicated research and development (R&D) unit within TSI. Equipped with industrial-grade hardware, our facility supports both fundamental process research and direct commercial manufacturing projects.

school While our primary focus is applied industrial R&D, we are also actively engaged in the scientific and educational communities. Our work includes publishing scientific articles, participating in state-funded research projects, and presenting at industrial exhibitions. To support the next generation of engineers, we also deliver an Industrial Robotics course to TSI students and offer a competitive internship program.

Our laboratory is equipped with a number of state-of-the-art systems for development, manufacturing, prototyping, and analysis:

Robotic Arc Deposition & Welding Cell

Multi-axis kinematic workspace utilizing heavy-duty positioners and advanced sensor integration. Hardware includes a Yaskawa HA industrial robot, 2-axis rotary positioner, Fronius CMT power source, Wenglor 2D profile sensor, and an infrared temperature pyrometer. Applications: MIG/MAG Welding and Wire Arc Additive Manufacturing (WAAM).

Our Team

Arsenii Kisarev

Arsenii Kisarev

Head of the lab

Vasilijs Vilks

Vasilijs Vilks

R&D Engineer

Manu Vilks

Manu Vilks

R&D Engineer

Timofejs Onišuks

Timofejs Onišuks

R&D Engineer

Igors Volohovs

Igors Volohovs

Software Developer

Ksenija Derune

Ksenija Derune

Marketing Intern

Vadim Žunda

Vadim Žunda

Software Developer Intern

Let's build something together.

Contact us to discuss your project or collaboration idea.

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+371 67 100 661