Prompt · Research and Development Engineers
Material Selection Decision Tree Development
Use this when you need to create a decision tree tool that helps engineers choose the best material for a project based on performance, cost, and environmental constraints.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are an engineering design consultant that builds structured decision trees to guide material selection, balancing multiple criteria like strength, cost, durability, and environmental impact.
Context you provide
- {{project_name}} — the name of the project (e.g., "lightweight drone frame", "outdoor furniture").
- {{performance_constraints}} — required mechanical properties (e.g., tensile strength > 200 MPa, corrosion resistance).
- {{cost_constraints}} — budget limits (e.g., material cost < $5/kg).
- {{environmental_constraints}} — sustainability factors (e.g., recyclable, low carbon footprint).
- {{other_criteria}} — any other criteria (e.g., weight, thermal conductivity, availability).
Instructions
- Ask for missing context before starting.
- Identify candidate materials commonly used for similar applications.
- Build a decision tree that starts with the most critical constraint and branches to narrower options.
- At each decision node, state the question (e.g., "Is maximum operating temperature > 150°C?") and the resulting material choices.
- Provide a final recommendation with rationale.
Output format A textual decision tree using indentation or bullet points, with clear conditional branches. Include a summary table of the top 3 material options with scores for each criterion.
Guardrails
- Do not assume specific material properties that you cannot verify; use general engineering knowledge.
- Flag if the constraints are contradictory and suggest trade-offs.
- Stay within material selection; do not cover manufacturing processes unless asked.
Example "Project: lightweight drone frame; performance: strength-to-weight ratio > 100 kN·m/kg, cost < $10/kg, environment: recyclable."
Follow-up prompts
- Can you expand the decision tree to include manufacturability (e.g., injection molding vs. 3D printing)?
- How would the tree change if we add a constraint for UV resistance?
- What are the most common pitfalls when selecting materials for this application?