DROM Lab · Research

Research Areas

From off-road machinery design & reliability to gear/transmission dynamics, positive-displacement pumps & flow meters, and physics-informed AI precision fluid control — six focused areas that connect theory with the field.

Research at a Glance
Areas
6 focused research areas
Core
Sensorless dosing · AI
Precision
±1% volumetric dosing
Markets
F&B · Agri · Public · Industry
Field proof
35 spraying modules · NIAS

Research Areas in Detail

01

Off-road Machinery Design

We precisely design the drive and working parts of machinery operated off the road — tractors, combines, transplanters, and heavy construction equipment — and verify performance and safety through multi-body dynamics (MBD) and structural/strength analysis.

Approach
  • MBD dynamic simulation
  • Structural / fatigue / strength analysis
  • Overturning & driving stability analysis
Highlights
  • Overturning stability of small off-road vehicles
  • Tractor draft-force measurement method
  • Differential-case strength evaluation
02

Reliability & Life Assessment

We identify failure mechanisms of parts and modules and quantitatively assess reliability via accelerated-life, corrosion, and durability testing plus load measurement, improving life through robust design.

Approach
  • Accelerated-life testing (ALT) · B10 life
  • Corrosion / chemical-durability testing
  • Robust design
Highlights
  • Corrosion failure mode of soil-sterilizer pump
  • Multiple component-reliability infrastructure projects
  • Book: “Life & Reliability of Machine Parts”
03

Gear & Transmission Dynamics

We predict and reduce resonance-induced load amplification in high-speed gears and analyze the dynamic behavior and losses of planetary transmissions and gearboxes for lightweight, low-noise, high-reliability design.

Approach
  • Dynamic factor (Kv) & transmission-error prediction
  • Profile modification / crowning optimization
  • Gearbox churning-loss prediction
Highlights
  • PTO rattle-noise reduction (anti-backlash gear)
  • Dynamic-behavior prediction & reduction
  • Wind-turbine gearbox load-distribution analysis
04

PD Pump & Precision Flow Metering

We model the leakage and pulsation of positive-displacement pumps and flow meters — rotary-clap, oval-gear, lobe, and vane — and optimize tooth and geometric parameters to improve metering accuracy.

Approach
  • Physics-based leakage modeling
  • Tooth-profile / addendum / backlash optimization
  • Pulsation, drive-torque, efficiency prediction
Highlights
  • Rotary-clap PD pump development (SCIE)
  • Oval flow-meter optimal-design patent (KR)
  • EVER compact oval flow meter productization
05

Sensorless Precision Fluid Control · Physics-informed AI

Without expensive flow sensors, we combine pump drive data (V·I·rpm·t) with physics models and AI virtual sensors to achieve ±1% precision volumetric dosing even under viscosity, temperature, and level changes.

Approach
  • First-principles leakage physics model
  • AI residual correction (Hybrid Physics-AI)
  • Real-time viscosity/temperature-corrected firmware
Highlights
  • PCT core patent (sensorless dosing)
  • F&B 4-fluid pre-validation, avg. error ≤0.45%
  • EVER precision dispenser
06

Smart Agriculture · Precision Spraying

We apply the sensorless dosing core to electric/autonomous sprayers, weeding robots, and smart-farm nutrient supply, realizing speed-proportional precise spraying and reduced input loss.

Approach
  • Speed-proportional real-time spray control
  • Chemical-resistant metered chemical-supply module
  • Vision-based sorting (e.g., YOLO)
Highlights
  • 35 spraying modules delivered to BULS Co.
  • NIAS precision-spraying paid project
  • YOLO-based apple quality sorter

Collaboration · Graduate Admissions

We welcome students, researchers, and industry partners in off-road machinery, fluid machinery, and AI.