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thermal-fluid-analysis

Analyze thermal-fluid engineering systems, experiments, CFD, and correlations with explicit assumptions, validity limits, uncertainty, and mechanism-based interpretation. Use for heat transfer, fluid mechanics, phase change, HVAC, energy systems, turbomachinery, piping, or thermal management.

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Thermal-Fluid Analysis

Purpose

Develop decision-ready thermal-fluid analysis without separating numerical output from physical meaning. State what is measured, simulated, derived, assumed, or inferred; retain units, sign conventions, property states, system boundaries, and applicability limits.

Analysis Workflow

  1. Define the system: geometry, working fluid, operating regime, boundary conditions, performance metrics, and constraints.
  2. Establish the physical model: governing balances, material properties and their evaluation state, dimensionless groups, competing mechanisms, and expected limiting behavior.
  3. Select evidence: standards, handbooks, peer-reviewed work, calibrated measurements, validated CFD, or correlations inside their stated range.
  4. Test credibility: dimensional consistency, conservation, order of magnitude, limiting cases, uncertainty/sensitivity, and an independent analytical or empirical check where possible.
  5. Conclude by mechanism and tradeoff: performance, pressure drop or pumping power, manufacturability, reliability, cost, safety, scaling, and residual risk.

Experiments

Report the facility and specimen geometry, instrumentation, calibration, sampling, procedure, data reduction, heat-loss treatment, repeatability, uncertainty propagation, and exclusions. Distinguish sensor uncertainty from run-to-run variability. Do not call a preliminary demonstration validation without a stated comparison target.

CFD And Modeling

List all assumptions before presenting results and justify each one. State the domain, mesh and mesh-independence evidence, models, wall treatment, property models, boundary and initial conditions, solver/convergence criteria, time step where applicable, and validation data. Treat a converged solution as numerical evidence, not experimental proof.

Results Discussion

For each important figure, move through: what is plotted; what changes; the physical explanation; and comparison with literature, theory, or an independent data source. Do not merely restate a trend. Explain the regime, competing mechanisms, and the conditions under which the conclusion might fail.

Final Check

Before finalizing, check regime classification, property variation, phase state, coordinate/sign conventions, uncertainty, model validity, and safety or code constraints. Escalate unknown operating conditions that materially change the conclusion.

レビュー

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概要と使いどころ

Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.

日本語の概要は準備中です。原文の説明を表示しています。

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hanhuark/mechanical-engineering-research-skill212026年10月10日 更新

Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance. Use for experimental facilities, thermal-fluid mechanisms, workflows, graphical abstracts, system architectures, or research diagrams.

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hanhuark/mechanical-engineering-research-skill212026年10月10日 更新

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hanhuark/mechanical-engineering-research-skill212026年10月10日 更新

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