Product Details
Product Description
The IC694MDL740 discrete output module from GE Fanuc PACSystems RX3i series is engineered for reliable DC output switching in industrial automation. Supporting positive logic configuration, it provides sixteen outputs arranged into two groups of eight. With robust isolation, fast response times, and diagnostic LED indicators, this module ensures dependable performance in demanding control environments.
Technical Specifications
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Manufacturer: GE Fanuc Emerson
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Product Line: PACSystems RX3i
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Part Number: IC694MDL740
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Product Type: Discrete Output Module
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Number of Channels: 16 outputs (two groups of 8)
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Nominal Output Voltage: 12/24 VDC
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Voltage Range: 12–24 VDC (+20%, -15%)
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Logic Type: Positive logic
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Output Current per Channel: 0.5 A
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Output Current per Module: 2 A maximum
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On-State Voltage: 11.5–30 VDC
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Off-State Voltage: 0–5 VDC
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On-State Current: 3.2 mA
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Off-State Current: ≤ 1 mA
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Response Time: 2 ms typical, 2 ms maximum (on/off)
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Output Voltage Drop: ≤ 1.0 V
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Maximum Inrush Current: 4.78 A for 10 ms
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Isolation (Field to Backplane & Frame Ground): 250 VAC continuous; 1500 VAC withstand for 1 minute
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Isolation (Group to Group): 250 VAC continuous; 1500 VAC withstand for 1 minute
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Power Consumption: 110 mA from 5 VDC bus (all outputs ON)
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LED Indicators: Yes, for output status monitoring
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Weight: 0.69 lbs (0.31 kg)
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Lifecycle Status: Active
Application Scenarios
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Industrial automation systems requiring grouped DC outputs
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Machine control environments needing fast response and reliable isolation
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Applications where diagnostic LEDs and hot-swappable modules improve maintenance efficiency
FAQ
Q: How many outputs are available on this module? A: 16 outputs, divided into two groups of eight.
Q: What is the maximum current per output point? A: 0.5 Amps per channel.
Q: Does the module provide isolation between groups? A: Yes, 250 VAC continuous isolation with 1500 VAC withstand for one minute.
Q: What is the typical response time? A: 2 milliseconds for both on and off states.
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.