Product Details
Overview
The Allen-Bradley 1771-A4B is a durable 16-slot I/O chassis designed for use with the PLC-5 series of programmable logic controllers. With a rugged build and high power handling capabilities, this module is ideal for applications requiring stable and reliable I/O processing in harsh industrial environments.
Key Features
-
Model Number: 1771-A4B
-
Manufacturer: Allen-Bradley
-
Product Line: PLC-5
-
Product Type: 16-Slot I/O Chassis
-
Mounting: Back panel mount
-
Module Type: I/O Chassis
-
Location: Stand-alone
-
Enclosure Type: Open style
-
Weight: 13.38 lbs (6.07 kg)
-
Vibration Resistance: 2 g (10-500 Hz)
-
Nonoperating Shock Resistance: 30 g
-
Operating Shock Resistance: 15 g
-
Relative Humidity: 5% to 95% (non-condensing)
Electrical Specifications
-
Max Backplane Current (at 5 Volts DC): 24 Amperes
-
Number of Module I/O Slots: 16 slots for versatile configuration and expansion
Applications
The 1771-A4B chassis is engineered for use in demanding industrial environments, housing I/O modules for PLC-5 systems in applications ranging from manufacturing to process control. Its high vibration and shock resistance make it suitable for use in rough factory floor conditions.
FAQs
Q: What types of modules can be installed in the 1771-A4B?
A: The 1771-A4B is compatible with a wide range of PLC-5 I/O modules, making it versatile for numerous control applications.
Q: Can the 1771-A4B chassis handle high shock and vibration environments?
A: Yes, the 1771-A4B chassis is built to withstand 2 g vibration and 30 g nonoperating shock, ensuring reliable performance in industrial settings.
Q: Is the 1771-A4B chassis suitable for use in outdoor environments?
A: The 1771-A4B features an open style enclosure, making it ideal for controlled indoor environments. It has resistance to moisture, with a humidity range of 5-95% (non-condensing), but should not be exposed to direct outdoor conditions.
Additional Information
- 100% Genuine Parts: All products are original and authentic, ensuring reliable industrial performance.
- 30-Day Refund Guarantee: Return any in-stock item within 30 days in original, unopened packaging for a full refund (excluding shipping and fees).
- 12-Month Warranty: Covers defects in materials or workmanship; excludes misuse, normal wear, or unauthorized modifications.
- Worldwide Shipping: We ship via USPS, UPS, FedEx, and DHL. Delivery times vary by country and may be subject to customs or import fees.
- Support & Contact: Technical and warranty assistance is available anytime. Contact us here: Contact.
- Purchase Guidance: Check product specifications and compatibility carefully before ordering to ensure proper application.
Tech & Buying Guide
Implementing FIFO and LIFO Data Sequencing in PLC Programming
Data management serves as a cornerstone of modern industrial automation. Whether tracking materials on a conveyor or managing batch sequences in a process, engineers frequently rely on sequential logic. Two primary structures—First-In-First-Out (FIFO) and Last-In-First-Out (LIFO)—form the bedrock of this data handling. Mastering these blocks allows programmers to optimize complex machine operations efficiently.
Evolving SCADA System Architectures in Industrial Automation
A robust Supervisory Control and Data Acquisition (SCADA) system serves as the heartbeat of modern industrial operations. Understanding SCADA system architecture is vital for engineers designing efficient control systems. These architectures have evolved from isolated, monolithic structures to highly interconnected, networked ecosystems. Choosing the right design requires balancing data visibility, processing power, and long-term scalability requirements.
Choosing the Right Controller: PLC vs. Motion Controller in Industrial Automation
Selecting the optimal control architecture is a foundational decision in industrial automation. Engineers must frequently choose between a Programmable Logic Controller (PLC) and a dedicated Motion Controller. While both systems manage machinery, their underlying design philosophies differ significantly, impacting performance, scalability, and system integration.