AD7849ARZ - Analog Devices

Manufacturer Part Number

AD7849ARZ

Manufacturer

Analog Devices

Introduction

The AD7849ARZ is a 14-bit, single-channel, high-performance, digital-to-analog converter (DAC) from Analog Devices. It features a string DAC architecture, allowing for excellent linearity and dynamic performance. The AD7849ARZ is designed for a wide range of industrial and instrumentation applications that require high-precision analog output.

Product Features and Performance

14-bit resolution

1 channel of D/A conversion

10μs typical settling time

Voltage-buffered output

External reference

±14.25V to ±15.75V analog supply

5V digital supply

±5 LSB max INL/DNL

-40°C to +85°C operating temperature range

Product Advantages

Excellent linearity and dynamic performance

Wide operating temperature range

Versatile interface options (SPI)

Compact 20-SOIC package

Key Reasons to Choose This Product

High-precision analog output for demanding applications

Reliable and robust performance across a wide temperature range

Easy integration with various microcontrollers and digital systems

Cost-effective solution for industrial and instrumentation needs

Quality and Safety Features

Thoroughly tested and qualified for industrial use

Robust design for reliable operation in harsh environments

Compliance with relevant safety and regulatory standards

Compatibility

The AD7849ARZ is compatible with a wide range of microcontrollers, digital signal processors, and other digital systems that support the SPI interface.

Application Areas

Industrial process control

Instrumentation and measurement equipment

Precision analog output applications

Automated test equipment

Industrial automation systems

Product Lifecycle

The AD7849ARZ is an active product, and Analog Devices continues to support it. There are no immediate plans for discontinuation. However, as technology evolves, customers are advised to contact our website's sales team for the latest information on product availability and potential alternative or equivalent models.