Curriculum
- 6 Sections
- 49 Lessons
- 1 Day
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- Fundamentals of Emission Measurement11
- 1.1Importance of emission measurement & Emission Measurement Technique
- 1.2Types of automotive emissions (HC, CO, COâ‚‚, NOx, PM, Smoke)
- 1.3Role of emission measurement in aftertreatment efficiency, emission inventories & regulatory compliance
- 1.4Upstream vs downstream measurement points for SCR/DPF efficiency
- 1.5Case Based Example: How incorrect measurement leads to compliance failures
- 1.6Challenges: transient cycles, cold-start, idling, altitude dependence
- 1.7How emission labs operate: CVS tunnel, dilution ratios, analyzers
- 1.8Case based learning: NOx underestimation due to improper probe placement
- 1.9Case: PM measurement error due to filter handling
- 1.10Case Study: CO drift in NDIR analyzer in poorly controlled temperature conditions
- 1.11Activity: Identify measurement errors from sample emission graphs
- Hydrocarbon (HC) & CO/COâ‚‚ Measurement Techniques8
- 2.1HC measurement using FID
- 2.2CO/COâ‚‚ measurement using NDIR analyzers
- 2.3Calibration gases & span drift
- 2.4Interference factors (humidity, fuel type, exhaust dilution)
- 2.5Case Based Example: Sensitivity issues in FID; Water condensation in sampling lines; CO saturation under rich conditions
- 2.6Case based learning HC misreading due to incorrect FID flame temperature
- 2.7CO signal noise seen during rapid transients
- 2.8Activity: Interpret FID and NDIR analyzer logs and identify abnormal patterns
- NOx Measurement & Smoke Measurement9
- 3.1NOx measurement methods: CLD, NDUV
- 3.2Calibration, quenching effects, time alignment
- 3.3Smoke measurement (opacity, filter smoke number – FSN)
- 3.4Case Based Example: NOâ‚‚/NO ratio issues during SCR operation
- 3.5Smoke measurement challenges in turbo engines
- 3.6Impact of EGR on NOx & smoke simultaneously
- 3.7Case Study: Upstream NOx spike misinterpreted due to analyzer delay
- 3.8Case Study: Smoke increase caused by injector drift
- 3.9Activity: NOx sensor vs analyzer correlation exercise using given datasets
- Particulate Matter (PM) & Particle Number (PN) Measurement10
- 4.1PM measurement by gravimetric methods
- 4.2Filter handling, conditioning, weighing
- 4.3PN measurement: CPC, DC, volatile particle removal
- 4.4Sampling system: VPR, dilution tunnels
- 4.5Case based example: PM measurement errors due to humidity and electrostatic charge
- 4.6PN sensitivity to sampling temperature
- 4.7DPF-regeneration-related PM spikes
- 4.8Case Based Learning: Incorrect PM results due to filter contamination
- 4.9PN anomalies during rapid accelerations
- 4.10Activity: Interpret raw PM filter mass and PN count data to assess DPF health
- Integrated Emission Testing, OBD Correlation & Troubleshooting9
- 5.1End-to-end emission testing workflow
- 5.2Test cycles: IDC, WLTC, WHTC
- 5.3Analyzer calibration, sample line design, time-alignment
- 5.4Case based example: OBD vs lab analyzer correlation
- 5.5Fault modes: leaks, condensation, drift, contamination
- 5.6Real test-lab constraints
- 5.7Case Based Learning Cycle mismatch causing regulatory non-compliance
- 5.8Analyzer zero drift leading to COâ‚‚ error impacting fuel economy reporting
- 5.9Activity: Diagnose a faulty emission test using provided multi-pollutant dataset
- Case Study Simulation & Group Problem Solving2
- 6.1Activity: Full emission dataset (HC, CO, NOx, PM, PN)- Identify instrument faults; Correlate upstream/downstream readings; Determine aftertreatment efficiency; Suggest corrective actions
- 6.2Deliverables: Root-cause analysis, Proposed calibration corrections, Lab procedure improvements, Compliance risk assessment