Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TMCC160-EVAL

TMCC160-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMCC160

23

TMC5130-EVAL-KIT

TMC5130-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC5130

47

TMC2590-EVAL

TMC2590-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC2590

1

TMC4361A-EVAL

TMC4361A-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC4361

63

TMC2208-EVAL

TMC2208-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC2208

6

TMC SILENTSTEPSTICK

TMC SILENTSTEPSTICK

TRINAMIC Motion Control GmbH

STEPPER MOTOR DRIVER BRD TMC2100

889

TMC5160-EVAL

TMC5160-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC5160

124

TMC262-BOB30

TMC262-BOB30

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC262

18

TMC6200-BOB

TMC6200-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD FOR TMC6200

10

TMC2660-BOB

TMC2660-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC2660

95

TMC5130A-BOB

TMC5130A-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC5130A

30

TMC4671-EVAL

TMC4671-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC4671

10

TMC4671-BOB

TMC4671-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD FOR TMC4671

0

TMC5161-EVAL

TMC5161-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC5161

0

TMC8460-EVAL

TMC8460-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC8460

0

TMC SILENTSTEPSTICK SPI

TMC SILENTSTEPSTICK SPI

TRINAMIC Motion Control GmbH

TMC2130 STEPPER DRIVER BOARD

470

TMC2209-EVAL-KIT

TMC2209-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC2209

8

TMC2660-EVAL

TMC2660-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC2660

75

TMC2226-EVAL-KIT

TMC2226-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC2226

0

TMC5062-EVAL-KIT

TMC5062-EVAL-KIT

TRINAMIC Motion Control GmbH

EVALUATION KIT FOR TMC5062

5

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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