Week 10 · 2105620 Research Communication Skills for Chemical Engineers · 09:00–12:00
22 October 2026
7 minutes · 09:01–09:08
Synthetic means. Residence time 2.0 s, n = 3 per temperature. SD: X = 2 pp, S = 1 pp.
Research question
How does temperature affect conversion and selectivity at a residence time of 2.0 s?
Results answer
Conversion rises from 40% to 80%, while selectivity falls from 90% to 65%.
Discussion task
Explain what this trade-off means for choosing a condition, and what remains unresolved.
Claim: Conversion alone cannot determine the preferred condition.
Evidence: Higher temperature increases conversion but reduces selectivity.
Reasoning: Both quantities enter the desired-product yield in this case.
Boundary: Four temperatures, one residence time, three runs per temperature.
Conversion alone cannot determine the preferred condition. At 375 °C, mean conversion is highest among the tested temperatures, but mean selectivity is lowest. Because both quantities enter the desired-product yield, the highest conversion need not give the highest yield. The comparison remains limited to the four temperatures tested at 2.0 s.
Your check: Which sentence connects the evidence to the claim?
| Temperature (°C) | Mean conversion (%) | Estimated yield (%) |
|---|---|---|
| 300 | 40 | 36.0 |
| 325 | 55 | 47.3 |
| 350 | 70 | 54.6 |
| 375 | 80 | 52.0 |
Estimate = mean conversion × mean selectivity / 100. Synthetic data.
At 350 °C: product of means = 54.6000%. Mean of the three paired-run yields = 54.5867%. Both round to 54.6%.
Observed
350 °C gives the highest yield estimate among the four tested temperatures.
Unresolved
Intermediate temperatures may give a different result. Uncertainty must also be considered.
Next decision
Test more temperatures near 350 °C before selecting a condition for further evaluation.
Hypothesis A: The desired product undergoes further reaction to byproducts.
Hypothesis B: A temperature-dependent sampling or analysis bias lowers the apparent selectivity.
Question: What would each explanation predict in an additional test?
These are hypotheses for the synthetic case. The existing trend establishes neither explanation.
| Hypothesis | Proposed test | Predicted pattern if it contributes |
|---|---|---|
| Further reaction of the product | Vary residence time at fixed temperature | Lower selectivity and more byproducts at longer times |
| Analysis bias | Check known mixtures through the sampling and analysis procedure | Apparent recovery changes with the procedure or condition |
| Transport contributes | Vary mixing or particle size, controlling other factors | The response changes when transport conditions change |
A predicted pattern can support an explanation. One test rarely excludes every alternative.
Incomplete: “The selectivity decrease may reflect a secondary reaction.”
Stronger: “A secondary reaction is one possible explanation. A residence-time test could examine whether lower selectivity accompanies increased byproduct formation.”
Still unresolved: The present temperature trend cannot distinguish this explanation from measurement bias.
| Before comparing | Record from each paper |
|---|---|
| Are the systems comparable? | Feed, catalyst, reactor and operating range |
| Do the outcomes mean the same thing? | Definitions of conversion, selectivity and yield |
| What can explain a difference? | Measurement basis, uncertainty and study limitations |
10-minute task: Specify one comparison and the evidence you need to make it fairly.
Use a verified paper when available. Without one, write a search and extraction plan, without attributing an unverified finding to the literature.
15
15 minutes
Resume at 10:30
4 setpoints
Limits resolution. Say “highest among those tested” rather than claiming a global optimum.
2.0 s only
Limits generalization. State 2.0 s when describing the temperature response.
3 runs per temperature
Variability is estimated from a small sample. Yield uncertainty needs the paired runs.
Industrial use
Energy use and stability remain untested.
Implication
The conversion–selectivity trade-off makes the choice of temperature depend on the objective.
Support
375 °C gives the highest mean conversion. At 350 °C, the yield estimate from the means is highest.
Boundary
This comparison identifies a condition for further testing. It does not establish an industrial optimum.
25 minutes · 10:40–11:05
Success check: A reader can trace every factual claim to evidence and see what would change your interpretation.
Question: Does the paragraph answer the original research question?
Finding: Include the central comparison and its magnitude.
Scope: Name the tested conditions and the defensible implication.
Audit: Every result already appears in Results. Every interpretation has support.
Main finding
At 2.0 s, raising temperature from 300 to 375 °C increased conversion from 40% to 80% and lowered selectivity from 90% to 65%.
Implication
Conversion alone cannot determine the preferred operating condition.
Next step
Testing near 350 °C could refine the yield comparison within this hypothetical system.
12 minutes · 11:13–11:25
15 minutes · 11:25–11:40
Feedback format: “In sentence , change because the evidence shows __.”
Before
“The optimal industrial temperature is 350 °C.”
After
“Among the tested temperatures, 350 °C gave the highest yield estimate calculated from the reported mean conversion and selectivity.”
11 minutes · 11:45–11:56
20-point rubric: Data accuracy, claims and evidence, figure and caption, writing structure, transparency and reproducibility. 4 points each.
Before you leave
Identify one point that is still unclear.
Name one change you will make in your writing or figure.
Complete the short anonymous feedback form.
