| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Imagination Supply Co |
BATTERY HOLDER + LED 20 PACK |
200 |
|
 |
Adafruit |
SILICONE TUBING FOR AIR PUMPS AN |
0 |
|
 |
Adafruit |
PERISTALTIC PUMP W/SILICON TUBE |
321 |
|
 |
Adafruit |
AIR PUMP AND VACUUM DC MOTOR - 4 |
367 |
|
 |
SparkFun |
LIQUID PUMP - 350GPH 12V |
0 |
|
 |
SparkFun |
VACUUM PUMP 12VDC 0-16" HG |
229 |
|
 |
Imagination Supply Co |
BATTERY HOLDER W/SWITCH 100 PACK |
1000 |
|
 |
Imagination Supply Co |
BATTERY HOLDER W/SWITCH 10 PACK |
1000 |
|
 |
Adafruit |
SUBMERSIBLE 3VDC HORIZONTAL PUMP |
46 |
|
 |
Seeed |
STEPPER MOTOR W/ACTUATOR SLIDER |
0 |
|
 |
Adafruit |
AIR PUMP AND VACUUM DC MOTOR - 4 |
302 |
|
 |
Imagination Supply Co |
BATTERY HOLDER W/SWITCH 25 PACK |
1000 |
|
 |
SparkFun |
BARTENDRO DISPENSER PERISTALTIC |
0 |
|
 |
Adafruit |
T-CONNECTOR FOR SILICONE TUBING |
56 |
|
 |
DFRobot |
DC MINI IMMERSIBLE WATER PUMP 6V |
11 |
|
 |
Adafruit |
SUBMERSIBLE 3VDC VERTICAL PUMP |
15 |
|
 |
Adafruit |
PERISTALTIC LIQUID PUMP WITH SIL |
181 |
|
 |
Adafruit |
6V AIR VALVE WITH 2-PIN JST PH C |
0 |
|
 |
DFRobot |
GRAVITY: DIGITAL PERISTALTIC PUM |
0 |
|
 |
Seeed |
MINI PRESSURE PUMP 3V 350MA |
0 |
|
Maker/DIY (Do-It-Yourself), Educational Prototyping, and Fabrication technologies encompass tools and systems enabling users to design, test, and manufacture physical objects. These technologies bridge digital design and real-world production, fostering innovation in education, small-scale manufacturing, and hobbyist projects. Their importance lies in reducing prototyping costs, accelerating iterative development, and democratizing access to fabrication capabilities.
| Type | Functional Features | Application Examples |
|---|---|---|
| 3D Printers | Additive manufacturing using thermoplastics, resins, or metals | Rapid prototyping, custom robotics parts |
| Laser Cutters | Precise 2D/3D cutting and engraving on wood/metal/acrylic | Architectural models, signage, textile design |
| Electronic Prototyping Kits | Modular components for circuit design and testing | IoT devices, sensor networks, robotics |
| CNC Machines | Computer-controlled subtractive manufacturing | Aluminum machining, PCB fabrication |
| Educational Robotics Platforms | Programmable hardware for STEM learning | Classroom robotics competitions, coding education |
Typical systems include: - Mechanical Framework: Aluminum extrusions or steel bases for stability - Motion Control: Stepper/servo motors with precision lead screws or belts - Processing Unit: Microcontrollers (e.g., Arduino) or single-board computers (e.g., Raspberry Pi) - Tool Heads: Interchangeable modules for printing, cutting, or milling - Software Interface: CAD/CAM integration with G-code generation
| Parameter | Importance |
|---|---|
| Resolution/ Precision | Determines minimum feature size (critical for electronics prototyping) |
| Build Volume | Limits maximum object size (impacts scalability) |
| Material Compatibility | Defines application range (plastics, metals, composites) |
| Software Support | Affects workflow efficiency (compatibility with Fusion 360, SolidWorks) |
| Production Speed | Influences time-to-market (measured in mm /hour) |
Case Study: A startup used a desktop CNC machine to create functional prototypes for a smartwatch enclosure, reducing development time by 40% compared to traditional methods.
| Manufacturer | Representative Product |
|---|---|
| Stratasys | uPrint SE Plus 3D Printer |
| Shopify | X-Carve CNC Machine |
| Arduino | Arduino UNO R4 |
| Epilog Laser | Fusion Pro 32 Laser Cutter |
| Makeblock | Ultimate 2.0 Robotics Kit |
Key considerations: - Budget: Entry-level vs. industrial-grade equipment - Application Scope: Prototyping vs. production requirements - Material Needs: Thermoplastics vs. metals vs. organic materials - Learning Curve: Software ecosystem and community support - Safety: Critical for educational environments (e.g., enclosed laser cutters)
Future developments include: - Hybrid systems combining additive/subtractive manufacturing - AI-driven design optimization for automated prototyping - Biodegradable material adoption for sustainable fabrication - Cloud-based collaborative prototyping platforms - Integration with AR/VR for real-time design validation