Rannsachair
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In a past life I was a design engineer, I was using AI to restore an old photograph and though I would try it with an engineering challenge.
I asked it to use TRIZ ( a systematic approach to problem solving using patents for principles) to design a motorcycle seat.
Chat GPT took seconds to come up with:
1. Define the Core Contradictions (TRIZ Step 1)
Main user needs vs. conflicts:
Comfort vs. Control
Rider wants a soft seat for long rides
But also needs firm support for control and feedback
Comfort vs. Weight
More padding = more comfort
More padding = heavier, bulkier seat
Heat Management vs. Weather Protection
Seat should breathe and stay cool
But also be waterproof and weatherproof
Universal Fit vs. Personalization
Manufacturers want one seat fits many
Riders want custom fit (height, weight, riding style)
2. Relevant TRIZ Inventive Principles
From the TRIZ contradiction matrix, these principles are especially relevant:
Principle 1 – Segmentation
Principle 3 – Local Quality
Principle 15 – Dynamization
Principle 24 – Intermediary
Principle 35 – Parameter Change
Principle 40 – Composite Materials
3. TRIZ-Inspired Seat Design Concept
Concept Name: Adaptive Cell Motorcycle Seat
A. Segmented, Zonal Comfort (Principles 1 & 3)
Instead of one foam block:
Seat is divided into micro-zones:
Firm zones near tank & edges (control, braking support)
Soft zones under sit bones
Elastic zones at rear for vibration damping
Each zone behaves differently → comfort and control without compromise.
B. Dynamically Adjustable Firmness (Principle 15 – Dynamization)
Seat contains air or gel micro-cells
Rider can adjust firmness via:
Manual valve under seat
Or electronically linked to riding mode:
Sport: firmer
Touring: softer
Urban: medium
Result: one seat adapts to multiple riding styles.
C. Thermal & Moisture Control Layer (Principles 24 & 35)
Introduce an intermediate layer:
Phase-change material (PCM) absorbs heat when hot, releases when cold
Perforated upper surface + waterproof lower membrane
Channels guide airflow using bike motion
Result: cool in summer, neutral in cold, still rainproof.
D. Lightweight Composite Structure (Principle 40)
Base shell: carbon-reinforced polymer or glass-fiber composite
Comfort layers: hybrid foam + 3D-printed lattice
Reduces weight while increasing strength and vibration isolation
E. Personalized Fit Without Custom Manufacturing (Principle 35)
Seat height and contour adjusted via:
Interchangeable upper modules (low / standard / high)
Snap-in support inserts for rider weight ranges
One SKU → many body types.
4. “Ideal Final Result” (IFR – TRIZ Goal)
The seat automatically provides maximum comfort, perfect control, optimal temperature, and ideal posture for every rider, in every condition, without increasing weight or complexity.
5. Summary of the Innovation
What makes this seat “new” using TRIZ thinking:
Comfort is not uniform, but intelligently distributed
Firmness is adaptive, not fixed
Cooling is passive and integrated, not an add-on
Personalization is modular, not custom-built
Given this took seconds on the free version of CHAT GPT, it looks like it will not be long until AI takes over from engineers. Obviously I could have refined this by asking it to focus on aspect or use Value engineering to reduce costs, you can see an impact on human engineering resource never mind how will university's identify original work from students is not AI generated
I asked it to use TRIZ ( a systematic approach to problem solving using patents for principles) to design a motorcycle seat.
Chat GPT took seconds to come up with:
1. Define the Core Contradictions (TRIZ Step 1)
Main user needs vs. conflicts:
Comfort vs. Control
Rider wants a soft seat for long rides
But also needs firm support for control and feedback
Comfort vs. Weight
More padding = more comfort
More padding = heavier, bulkier seat
Heat Management vs. Weather Protection
Seat should breathe and stay cool
But also be waterproof and weatherproof
Universal Fit vs. Personalization
Manufacturers want one seat fits many
Riders want custom fit (height, weight, riding style)
2. Relevant TRIZ Inventive Principles
From the TRIZ contradiction matrix, these principles are especially relevant:
Principle 1 – Segmentation
Principle 3 – Local Quality
Principle 15 – Dynamization
Principle 24 – Intermediary
Principle 35 – Parameter Change
Principle 40 – Composite Materials
3. TRIZ-Inspired Seat Design Concept
Concept Name: Adaptive Cell Motorcycle Seat
A. Segmented, Zonal Comfort (Principles 1 & 3)
Instead of one foam block:
Seat is divided into micro-zones:
Firm zones near tank & edges (control, braking support)
Soft zones under sit bones
Elastic zones at rear for vibration damping
Each zone behaves differently → comfort and control without compromise.
B. Dynamically Adjustable Firmness (Principle 15 – Dynamization)
Seat contains air or gel micro-cells
Rider can adjust firmness via:
Manual valve under seat
Or electronically linked to riding mode:
Sport: firmer
Touring: softer
Urban: medium
Result: one seat adapts to multiple riding styles.
C. Thermal & Moisture Control Layer (Principles 24 & 35)
Introduce an intermediate layer:
Phase-change material (PCM) absorbs heat when hot, releases when cold
Perforated upper surface + waterproof lower membrane
Channels guide airflow using bike motion
Result: cool in summer, neutral in cold, still rainproof.
D. Lightweight Composite Structure (Principle 40)
Base shell: carbon-reinforced polymer or glass-fiber composite
Comfort layers: hybrid foam + 3D-printed lattice
Reduces weight while increasing strength and vibration isolation
E. Personalized Fit Without Custom Manufacturing (Principle 35)
Seat height and contour adjusted via:
Interchangeable upper modules (low / standard / high)
Snap-in support inserts for rider weight ranges
One SKU → many body types.
4. “Ideal Final Result” (IFR – TRIZ Goal)
The seat automatically provides maximum comfort, perfect control, optimal temperature, and ideal posture for every rider, in every condition, without increasing weight or complexity.
5. Summary of the Innovation
What makes this seat “new” using TRIZ thinking:
Comfort is not uniform, but intelligently distributed
Firmness is adaptive, not fixed
Cooling is passive and integrated, not an add-on
Personalization is modular, not custom-built
Given this took seconds on the free version of CHAT GPT, it looks like it will not be long until AI takes over from engineers. Obviously I could have refined this by asking it to focus on aspect or use Value engineering to reduce costs, you can see an impact on human engineering resource never mind how will university's identify original work from students is not AI generated


