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Tribometer Research – PAO & Ionic Liquid Lubrication

Materials & Interface Mechanics Lab · RFW160 Reciprocating Wear/Friction Experiments
Overview

Project Summary

I contributed to an undergraduate research effort evaluating how base oils and ionic-liquid systems, with and without graphene-derivative additives, affect friction and wear on bearing steel. We used a ball-on-flat reciprocating tribometer (RFW160) to capture time-resolved coefficient of friction (CoF) and post-test wear metrics (profilometry), while a parallel team built a machine-learning model to predict nonlinear, time-dependent tribological behavior.

My Contributions

  • Sample preparation (face-cut to target thickness; polishing workflow).
  • Tribometer operation (RFW160) and lubricant preparation (micro-balance, sonication).
  • Practice and production runs (e.g., PAO at RT, 5 Hz, 5 N, 300 s), data logging, fixture setup.
  • Profilometry scheduling, environment control, and experiment documentation.

Outcomes

  • A structured test matrix and repeatable RFW160 procedure for PAO/IL/mGO conditions.
  • Baseline CoF/wear datasets for model training & comparison.
  • Literature-aligned framework to evaluate ionic-liquid + graphene-derivative benefits.

Advised by Dr. Chang-Dong Yeo · Research support by Yeonjin Jung, PhD (2024) · Fall 2023

Equipment

RFW160 Tribometer

Reciprocating ball-on-flat system for controlled load, frequency, stroke, and temperature, with software DAQ for real-time CoF. Testing followed the lab’s RFW160 SOP (cleaning, jig setup, load application, lube dosing, environment control, and data capture).

Counterface
AISI 52100 ball on polished steel flat
Motions
Reciprocating, programmable stroke & frequency
Controls
Load, temperature, speed; NI-DAQ capture
Outputs
CoF vs. time, wear track for profilometry/SEM
Materials

Lubricants & Additives

  • PAO (polyalphaolefin) baseline.
  • Ionic liquid blends (per lab literature context).
  • Graphene-derivative (mGO) additive trials and dispersion practices (weighed + sonicated).

Surface roughness tracked (Rq) in logs; environment recorded (°C, %RH).

Method

Test Procedure (Condensed)

  1. Power-up & cooling: Tribometer on; motor/heater as needed; water circulation engaged.
  2. Cleanliness: Dry wipe → acetone → IPA; compressed air as needed.
  3. Fixture & alignment: Sample rotation/position set; cross-tighten holder screws; install fresh ball jig.
  4. Lube dosing: ~2 drops via transfer pipet per run (single-use pipet).
  5. Set points: Stroke neutral, apply dead weight, lower ball smoothly; configure frequency, load, temp, duration.
  6. Data capture: Clear graphs, zero forces; start run; save raw data and metadata.
  7. Post-test: Document wear track index; profilometry/SEM queued; log environment and notes.
Example practice condition: PAO, room temperature, 5 Hz, 5 N, 300 s — repeated 3× for repeatability checks.
Variables

Operating

  • Load (N), Frequency (Hz), Stroke (mm)
  • Temperature (°C), Speed (mm/s)
  • Duration (s)
Materials

Specimens

  • AISI 52100 ball on polished steel sample
  • Surface finish tracked (Rq nm)
  • Additional polishing via M&M lab
Environment

Lab Conditions

  • Ambient °C and %RH recorded per run
  • Water cooling on heated tests
  • Clean-room-style solvent handling

Example Log Schema

Operator / Date · Lubricant / Target temp · Material / Roughness · Test: Hz/°C/mm/N/Speed/Duration · Environment °C/%RH · File naming

Consistent logging keeps experiments searchable and ML-ready.

Selected Results

Baseline practice set at room temperature with PAO (5 Hz, 5 N, 300 s). Figures show the combined result with error bars and each individual run, followed by process photos (synthesis ⇢ sample prep ⇢ wear features).

Combined coefficient of friction with error bars
Figure 1. CoF vs time — PAO, RT, 5 Hz, 5 N, 300 s (n=3). Markers show mean; red bars show stdev across repeats.
Run 1 coefficient of friction trace
Figure 2. Run 1 CoF trace — PAO, RT, 5 Hz, 5 N.
Run 2 coefficient of friction trace
Figure 3. Run 2 CoF trace — PAO, RT, 5 Hz, 5 N.
Run 3 coefficient of friction trace
Figure 4. Run 3 CoF trace — PAO, RT, 5 Hz, 5 N.
Beaker under stirring during GO dispersion prep
Figure 5. Graphene-oxide dispersion under stirring and ultrasonic prep.
Bottle of prepared dispersion
Figure 6. Prepared dispersion stock, labeled and sealed for dosing.
Petri dishes with graphene oxide drying
Figure 7. Modified graphene oxide drying in petri dishes prior to storage.
Lathe setup for face cutting
Figure 8. Sample face-cutting on precision lathe (setup & pass).
Lathe finishing pass
Figure 9. Sample face-cutting (finishing pass prior to polishing).
Macro image of surface finish and wear
Figure 10. Surface finish after machining and initial polish (macro).
Macro image of wear marks after test
Figure 11. Wear features after reciprocating test; track index marked for profilometry.

Notes on Repeatability

The combined plot in Figure 1 represents three replicate runs under identical test conditions, revealing a slight running-in behavior at the start of each run, where microscopic surface asperities wear down and the coefficient of friction (CoF) settles into a steady state. The close overlap of the curves demonstrates tight repeatability, meaning the tribometer setup, lubrication method, and sample preparation produced consistent results between runs.

Test conditions:
• Lubricant: Polyalphaolefin (PAO) base oil
• Temperature: Room temperature (RT)
• Frequency: 5 Hz reciprocating motion
• Normal load: 5 N applied load
• Test duration: 300 s per run
• Contact pair: AISI 52100 steel ball on polished steel flat
• Lubrication protocol: Fresh dose of lubricant applied prior to each run

Achieving this level of repeatability required careful specimen preparation, precise test parameter control, and consistent lubrication delivery, all of which are critical in tribology research to ensure that observed trends are due to material or lubricant behavior, not experimental variability.

Artifacts & References

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