LG – 7.3 Cu. Ft. Electric Dryer with Sensor Dry – White

7.4 cu. ft. Ultra Large Capacity

Free up your day—fit more clothes in every load with 7.3 cu. ft. of space. Running fewer loads saves energy and money on your utility bill.

Sensor Dry

No more damp clothes—the built-in sensor detects moisture levels and automatically adjusts drying time for loads of all sizes. No more overdrying—dryer shuts off at just the right time to save energy with less wear and tear on clothes.

FlowSense Duct Clogging and Lint Filter Indicators

FlowSense Duct Clogging and Lint Filter Indicators tell when ducts and filter need cleaning of lint buildup, improve dryer performance for greater efficiency and lower utility bills, and give safer, worry-free operation with fewer service calls.

ENERGY STAR Certified

High efficiency sensor drying and low-heat settings save energy and money by using about 20% less energy¹ than conventional models without sacrificing features or performance.

Aluminized Alloy Steel Drum

An advanced aluminized alloy coating is added to the steel dryer drum to enhance durability and maintain its luster and attractive finish. Helps keep nicks and chips at bay so your dryer looks like new even after years of use.

LoDecibel Quiet Operation

Run the dryer whenever you want, without interrupting naptime or your favorite show. This dryer is designed for quiet operation, from the motor to the cabinet to individual components. Pleasant end-of-cycle chime lets you know when clothes are dry.

SmartDiagnosis

If you ever experience an issue with your LG washer or dryer, you don’t have to worry. The SmartDiagnosis feature helps the service center diagnose problems over the phone, or with a simple app on your smart phone, helping you minimize costly, inconvenient service calls.²

Dryer cords are not shipped with the dryer. It is the responsibility of the consumer to purchase the appropriate cord for their home.

¹Source: https://www.energystar.gov/products/appliances/clothes_dryers

²SmartDiagnosis is designed to supplement existing methods of problem identification and may not be able to troubleshoot all issues.